From johan.suykens at esat.kuleuven.be Mon Jan 1 05:10:58 2024 From: johan.suykens at esat.kuleuven.be (Johan Suykens) Date: Mon, 1 Jan 2024 11:10:58 +0100 Subject: Connectionists: DEEPK 2024 - International Workshop on Deep Learning and Kernel Machines - March 7-8, 2024, Leuven Belgium In-Reply-To: <2665d5ce-d308-4354-bc89-429771d6b03c@esat.kuleuven.be> References: <2665d5ce-d308-4354-bc89-429771d6b03c@esat.kuleuven.be> Message-ID: *DEEPK 2024 /International Workshop on Deep Learning and Kernel Machines/* March 7-8, 2024, Leuven, Arenberg Castle, Belgium https://www.esat.kuleuven.be/stadius/E/DEEPK2024 */- Main scope -/* Major progress and impact has been achieved through deep learning architectures with many exciting applications such as by generative models and transformers. At the same time it triggers new questions on the fundamental possibilities and limitations of the models, with respect to representations, scalability, learning and generalization aspects. Through kernel-based methods often a deeper understanding and solid foundations have been obtained, complementary to the powerful and flexible deep learning architectures. Recent examples are understanding generalization of over-parameterized models in the double descent phenomenon and conceiving attention mechanisms in transformers as kernel machines. The aim of DEEPK 2024 is to provide a multi-disciplinary forum where researchers of different communities can meet, to find new synergies between deep learning and kernel machines, both at the level of theory and applications. */- Topics - /* Topics include but are not limited to: * Deep learning and generalization * Double descent phenomenon and over-parameterized models * Transformers and asymmetric kernels * Attention mechanisms, kernel singular value decomposition * Learning with asymmetric kernels * Duality and deep learning * Regularization schemes, normalization * Neural tangent kernel * Deep learning and Gaussian processes * Transformers, support vector machines and least squares support vector machines * Autoencoders, neural networks and kernel methods * Kernel methods in GANs, variational autoencoders, diffusion models, Generative Flow Networks * Generative kernel machines * Deep Kernel PCA, deep kernel machines, deep eigenvalues, deep eigenvectors * Restricted Boltzmann machines, Restricted kernel machines, deep learning, energy based models * Disentanglement and explainability * Tensors, kernels and deep learning * Convolutional kernels * Sparsity, robustness, low-rank representations, compression * Nystrom method, Nystromformer * Efficient training methods * Lagrange duality, Fenchel duality, estimation in Hilbert spaces, reproducing kernel Hilbert spaces, vector-valued reproducing kernel Hilbert spaces, Krein spaces, Banach spaces, RKHS and C*-algebra * Applications */- Invited Speakers -/* * Mikhail Belkin (University of California San Diego) * Volkan Cevher (EPFL) * Florence d'Alche-Buc (Telecom Paris, Institut Polytechnique de Paris) * Julien Mairal (INRIA) * Massimiliano Pontil (IIT and University College London) * Dingxuan Zhou (University of Sydney) */- Call for abstracts -/* The DEEPK 2024 program will include *oral and poster sessions*. Interested participants are cordially invited to submit an *extended abstract (max. 2 pages)* for their contribution.? Please prepare your extended abstract submission in LaTeX, according to the provided stylefile and submit it in pdf format (max. 2 pages). Further extended abstract information will be given at https://www.esat.kuleuven.be/stadius/E/DEEPK2024/call_for_abstracts.php . */- Schedule - /* * *Deadline extended abstract submission:* Feb 8, 2024 * Notification of acceptance and presentation format (oral/poster): Feb 22, 2024 * Deadline for registration: Feb 29, 2024 * *International Workshop DEEPK 2024:* March 7-8, 2024 */- Organizing committee - /* Johan Suykens (Chair), Alex Lambert, Panos Patrinos, Qinghua Tao, Francesco Tonin */- Other info -/* Please consult the DEEPK 2024 website https://www.esat.kuleuven.be/stadius/E/DEEPK2024 for info on program, registration, location and venue. The event is co-sponsored by ERC Advanced Grant E-DUALITY and KU Leuven. -------------- next part -------------- An HTML attachment was scrubbed... URL: From newsletters at tommasoturchi.fyi Mon Jan 1 10:19:50 2024 From: newsletters at tommasoturchi.fyi (Tommaso Turchi) Date: Mon, 01 Jan 2024 16:19:50 +0100 Subject: Connectionists: [CfP] Adaptive eXplainable AI Workshop @ IUI 2024 Message-ID: *** Happy New Year and Apologies for Cross-Posting *** ------------------------------------------------------ CALL FOR PAPERS: Adaptive eXplainable AI Workshop 2024 ------------------------------------------------------ We hope this year brings you joy and success. As we embark on a new year, we are thrilled to remind you of the call for papers for the Adaptive XAI (AXAI) Workshop, in conjunction with ACM IUI 2024. This workshop focuses on the innovative design and development of intelligent interfaces that adaptively explain AI's decision-making processes, emphasizing human-centric principles. == Important Dates == * Submission Deadline: January 16, 2024 * Notification: February 9, 2024 * Camera Ready: February 23, 2024 * Workshop Date: March 18, 2024 == Submission Guidelines == * Length: 5-10 pages * Format: CEUR-ART 1-column Template * Selected papers may be invited to submit an extended version to a dedicated Special Issue of Springer's "Personal and Ubiquitous Computing" * Submission Website: https://cmt3.research.microsoft.com/AXAI2024 == Topics Include == We invite submissions on topics including, but not limited to: 1. Transparent AI Decision-Making 2. Human-Centric AI Design 3. Adaptive Explanation Interfaces 4. Cognitive Needs and Situational Awareness 5. Seamless AI-HCI Integration 6. Diversity and Inclusivity in AI Explanations 7. Ethical Considerations in AI Explanations 8. Case Studies and Real-World Applications 9. Future Directions in Adaptive XAI 10. Cross-Disciplinary Perspectives == Organizers == * Tommaso Turchi, University of Pisa * Alessio Malizia, University of Pisa * Fabio Patern?, CNR-ISTI, Pisa * Simone Borsci, University of Twente * Alan Chamberlain, University of Nottingham For more details, please visit our website at https://axai.trx.li or contact Tommaso Turchi (tommaso.turchi at unipi.it). We look forward to your contributions and hope to see you in Greenville, South Carolina (USA) for a dynamic and insightful workshop that shapes the future of human-AI interaction! //==============================\\ Tommaso Turchi Department of Computer Science University of Pisa \\==============================// From auffarth at gmail.com Tue Jan 2 14:03:46 2024 From: auffarth at gmail.com (Ben Auffarth) Date: Tue, 2 Jan 2024 19:03:46 +0000 Subject: Connectionists: New Book Release - "Generative AI with LangChain" Message-ID: Dear Connectionists, I am thrilled to share a piece of exciting news with the connectionist community! Because of my background in computational neuroscience, you will notice the lens through which this book is crafted, and I hope it resonates with all of you. Book Announcement: Generative AI with LangChain Some Key Features: * Leverage LLMs' capabilities and navigate their inherent challenges * Explore transformer models, attention mechanisms, and automation of data analysis with Python * Practical examples using LangChain to build production-ready LLM applications, including agents, personal assistants, and more * Discover how LLM applications, including agents and personal assistants, can be tailored to meet the needs of developers and researchers. Book Description: This book is a practical guide for researchers and developers interested in the transformative power of generative AI. Dive into LangChain, learn about its ethical implications, and apply the knowledge to real-world scenarios. From building capable assistants to developing chatbots. Who Should Read: Active researchers in neural networks and computational neuroscience will find this book to be a valuable resource. Whether you're a seasoned professional or just starting in the field, unlock the potential of LLMs within your research projects. Join us in exploring the future of generative models and LLM apps! Learn more about the book here: https://amzn.to/41Nh14X ---- From fmschleif at googlemail.com Wed Jan 3 04:19:35 2024 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Wed, 3 Jan 2024 10:19:35 +0100 Subject: Connectionists: WSOM+ 2024: Deadline approaching Message-ID: -- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de Confirmed invited speakers: - John Aldo Lee - Universit? catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Call for papers WSOM+ Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM IMPORTANT DATES: - Paper submission deadline: 15 January 2024 - Notification of acceptance: 15 March 2024 - The WSOM+ 2024 conference: 10-12 July 2024, Mittweida, Germany Submission details and other information at: wsom.si-cim.de Submission is done using conftool - see: https://www.conftool.org/wsom2024 All the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From stefan.fuertinger at esi-frankfurt.de Wed Jan 3 03:30:28 2024 From: stefan.fuertinger at esi-frankfurt.de (=?UTF-8?Q?Stefan_F=C3=BCrtinger?=) Date: Wed, 3 Jan 2024 09:30:28 +0100 Subject: Connectionists: [Jobs] 2 Vacancies: Scientific Software Developer // Linux Administrator at ESI Frankfurt Message-ID: <32093ea4-78f1-483d-b0f7-4a2e0a5ce5ae@esi-frankfurt.de> Dear colleagues, Happy New Year and apologies for cross-postings. The IT department at the Ernst Str?ngmann Institute (ESI) for Neuroscience in cooperation with Max Planck Society in Frankfurt, Germany, has *two open positions*: - *Research Software Developer (f/m/d)*: closely collaborate with resident research groups developing custom-tailored software applications for experimental data acquisition and analysis. Data processing is performed on premises using a local high-performance computing (HPC) cluster comprising multiple hardware architectures (x86, IBM Power, GPU). Main responsibilities include development of scientific software applications in Python, administration of on-premise software development platforms (GitLab, SVN, Perforce) and platform-specific code modifications and patch development for existing open-source analysis software. More details: https://www.esi-frankfurt.de/jobs/2023-12-19_softwareentwickler/ - *Linux System Administrator (f/m/d)*: maintain and tune the Linux infrastructure of our on-premise HPC cluster comprising multiple hardware architectures (x86, IBM Power, GPU). Main responsibilities include maintenance and day-to-day operations of HA cluster filesystems, support and troubleshooting covering HPC-related user-questions, optimizing cluster efficiency and performance. More details: https://www.esi-frankfurt.de/jobs/2023-12-19_systemadministrationlinux/ The successful candidates will join a welcoming team at a dynamic international research institute. We provide a secure position in an exciting work environment offering a variety of interesting tasks and the possibility to grow and learn. Equal opportunities and diversity are important to us! All potential candidates are equally welcome and encouraged to apply before January 31st 2024, the full job ads are available on our website: https://www.esi-frankfurt.de/jobs/ Please feel free to forward this message to interested candidates. All the best, Stefan -- Dr. Stefan F?rtinger Lead Developer Scientific Software, IT Ernst Str?ngmann Institute (ESI) gGmbH for Neuroscience in Cooperation with Max Planck Society Deutschordenstra?e 46 60528 Frankfurt am Main Germany E-Mail:stefan.fuertinger at esi-frankfurt.de Mobile: +49 151 688 174 23 Office: +49 69 96769 586 GitHub:https://github.com/esi-neuroscience Registered at Local Court Frankfurt am Main - HRB 84266 CEO: Prof. David Poeppel, PhD www.esi-frankfurt.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5985 bytes Desc: S/MIME Cryptographic Signature URL: From mmahaut at ensc.fr Wed Jan 3 03:31:16 2024 From: mmahaut at ensc.fr (Mateo Mahaut) Date: Wed, 3 Jan 2024 09:31:16 +0100 Subject: Connectionists: M2 Internship Message-ID: Hi, Here is an internship opportunity about applying Machine learning to cognitive and biologic profiling for health applications in Caen, Normandy, please forward to potentially interested students. Best, *Extracts, full text in pdf * *Project:* *"*The primary project objective is to identify individual cognitive profiles using advanced artificial intelligence techniques. Beyond performance differences, we will consider personality traits, lifestyle factors, and emotional regulation, among others, to more precisely define characteristic cognitive profiles and identify their cerebral substrates.*"* *Internship Details:* ? Duration: 6 months. ? Location: Cyceron Center, Caen, France. ? Supervision: The intern will work under the meticulous guidance of Ga?l Ch?telat, an Inserm research director with expertise in neuroimaging, psychology of normal and pathological aging, and extensive experience in applying artificial intelligence techniques. ? Compensation: In accordance with the national Master's internship rate. ? Start Date: Academic year 2023-2024 -- Mat?o Mahaut PhD student at COLT - Universitat Pompeu Fabra *E*cole *N*ationale *S*up?rieure de *C*ognitique (*ENSC*) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2023-2024_InternshipMaster2_Profiling_NeuroPresage-1-2.pdf Type: application/pdf Size: 193992 bytes Desc: not available URL: From nagai.yukie at mail.u-tokyo.ac.jp Wed Jan 3 05:39:51 2024 From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp) Date: Wed, 3 Jan 2024 10:39:51 +0000 Subject: Connectionists: =?utf-8?q?ICDL_Confirmed_Speakers_=E2=80=93_paper?= =?utf-8?q?_deadline_Jan_8=2C_poster_deadline_March_1?= Message-ID: Dear colleagues, Join us in Austin May 20-23 2024 for the IEEE International Conference on Development and Learning (ICDL). ICDL is an intimate and unique meeting gathering researchers interested in development from the perspective of ecological psychology, robotics, and computation. We have confirmed an amazing list of speakers for the event - including a keynote by Jitendra Malik, the research director for Facebook AI - as well as 20 of the most important thinkers in this space. Our goal is to encourage deep conversations through carefully curated single-track symposia, including: Curiosity-Driven Learning and Predictive Models Yukie Nagai - The University of Tokyo, Japan Elizabeth Bonawitz - Harvard University, USA Gert Westermann - Lancaster University, UK Michael Goldstein - Cornell University, USA Language Development in Humans and Machines Xavier Hinaut - Inria & Bordeaux University, France Casey Lew-Williams - Princeton University, USA Daniel Messinger - University of Miami, USA Catherine Laing - University of York, UK Developmental Machine Learning and Everyday Inputs Karen Adolph - New York University, USA Linda Smith - Indiana University, USA Jochen Triesch - Frankfurt Institute for Advanced Studies, Germany Marvin Lavechin - Ecole Normale Sup?rieure, France Egocentric vision and attention John Franchak - University of California, Riverside, USA Kristen Grauman - The University of Texas at Austin, USA Mary Hayhoe - The University of Texas at Austin, USA Jim Rehg - University of Illinois Urbana-Champaign, USA Body Representation and Sensorimotor Organization Daniela Corbetta - The University of Tennessee, USA Matej Hoffmann - Czech Technical University in Prague, Czech Republic Hoshinori Kanazawa - The University of Tokyo, Japan Peter Marshall - Temple University, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for full paper submissions extended: December 15, 2023, January 8, 2024 Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 Full papers and other submissions are invited on a range of topics including but not limited to: ? Embodied learning and development in biological systems and robots ? Developmental stages and sensitive periods ? Emergence of verbal and nonverbal communication ? Curiosity, intrinsic motivations, exploration, play and active learning ? Architectures for lifelong learning ? Emergence of body and affordance perception ? Learning control of body movement ? Emotional development and the role of emotion in learning ? Prediction, planning, and problem solving ? The relationship between evolution and development ? Epistemological foundations and philosophical issues ? Robotic and computational models of human and animal development ? Developmentally-inspired machine learning ? Human-robot interaction in developmental contexts ? Applications of machine learning to human and animal development Submissions may take the form of full (6-page) papers, 1-page poster abstracts, journal track posters, and workshops or tutorials. Please see below for details on each submission type. Decisions regarding acceptance will be based on technical quality, novelty, and expected interest to the conference?s interdisciplinary audience. In addition to talks and posters originating from these submissions, the conference will feature a keynote speaker as well as several invited symposia showcasing recent research on a set of themes, with different disciplines and perspectives featured, to prompt lively and productive discussion at the conference. Submission types: Full six-page paper submissions Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. Up to two extra pages are acceptable for a publication fee of $100 per page. Accepted papers will be invited for presentation either in oral or poster format Please make use of the template provided at https://www.ieee.org/conferences/publishing/templates.html 1-page poster abstracts To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. Journal-track posters Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. Best regards, Yukie Nagai, on behalf of the organizing committees ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org From erik at oist.jp Wed Jan 3 06:16:02 2024 From: erik at oist.jp (Erik De Schutter) Date: Wed, 3 Jan 2024 11:16:02 +0000 Subject: Connectionists: Applications open for Okinawa/OIST Computational Neuroscience Course 2024 (OCNC 2024) References: <910BD418-9AA5-4A7F-81F7-670E3B75834A@oist.jp> Message-ID: <0E0094E1-408E-409C-9420-3B543D831C5A@oist.jp> OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2024 Methods, Neurons, Networks and Behaviors June 17 to July 4, 2024 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 17th through July 4th, 2024 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - January 31, 2024. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 19th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Lecturers: Erik De Schutter (OIST) Kenji Doya (OIST) Tomoki Fukai (OIST) Izumi Fukunaga (OIST) N. Alex Cayco Gajic (?cole Normale Sup?rieure, Paris, France) Yukiko Goda (OIST) Arvind Kumar (KTH, Stockholm, Sweden) Bernd Kuhn (OIST) Matthew Larkum (Humboldt University, Berlin, Germany) Hakwan Lau (RIKEN CBS, Tokyo, Japan) Sukbin Lim (NYU Shangai, China) Gerald Pao (OIST) Thomas Parr (Oxford University, UK) Sam Reiter (OIST) Kazumasa Tanaka (OIST) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3766 bytes Desc: not available URL: From wanling.cai at tcd.ie Wed Jan 3 09:55:40 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 3 Jan 2024 14:55:40 +0000 Subject: Connectionists: ACM UMAP 2024 - 3rd Call for Tutorial Proposals Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-tutorial/ ACM UMAP 2024 - Call for Tutorial Proposals ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is pleased to invite proposals for tutorials to be given in conjunction with the conference. Tutorials are expected to be instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community. An ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Tutorials are encouraged to be as dynamic and interactive as possible. Example topics of interest include, but are not limited to: * User modeling in the era of generative artificial intelligence. * Responsible user modeling and personalization. * Effective evaluation of personalized applications. * Strategies to let users be in control of the personalization process. Tutorial presenters can have 4 pages + 1 for references in the adjunct proceedings. ** Important Dates ** Tutorial Proposal Submission: January 11, 2024 Notification: February 1, 2024 Tutorial Description & Website URL Submission: February 24, 2024 Tutorial Summary Camera-ready Submission (TAPS system): May 16, 2024 Note: The submission deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All tutorial proposals must be written in English. Proposals should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Workshop and Tutorial Proposals? track. ** Length and Formatting ** *Format*. Each proposal should be arranged into a single PDF document, not exceeding 5 pages (references included). *Template*. Following the ACM Publication Workflow, the proposal should be arranged based on the new ACM single-column format. Instructions for the organizers are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word. Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Structure*. The proposal should include the following information: * Title and abstract of the tutorial (200 words maximum). * Tutorial description: Learning objectives of the tutorial and relevance to ACM UMAP 2024. Targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills. Brief outline of the tutorial structure. Brief description of the practical sessions. * Tutorial length (ideally 1 hour and a half). * Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions, and from other tutorials on the same or similar topics (please specify conference name and year). * Name, email address, affiliation and brief professional biography of each tutorial organizer, indicating previous training and speaking experience. *Evaluation Criteria*. All proposals will be reviewed by the ACM UMAP 2024 Tutorial Chairs. The features that will be evaluated are: * ability of the tutorial to contribute to strengthening the foundations of UMAP research. * clarity of the tutorial, which should emerge from its description. * good organization, as appearing from the outline. * the value of any materials released with the tutorial for the community. * background/experience of tutorial instructor(s) in teaching the target topics. ** Instructions ** *Support*. We encourage both researchers and industry practitioners to submit tutorial proposals. Researchers interested in submitting a tutorial proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for tutorial proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. *Diversity*. We strongly suggest involving organizers from different institutions, bringing their different perspectives to the tutorial topic. We welcome tutorials with a creative structure that may attract various types of participants and may ensure rich interactions. *Expectations*. The organizers of accepted tutorials are expected to set up a webpage for the tutorial including detailed information about the tutorial organization and timeline, and disseminate a call for participation. They will be responsible for their own publicity. *Proceedings*. There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. A camera-ready summary of the tutorial should be written by the organizers to be included in these adjunct proceedings. *Camera-ready Information*. Accepted summaries will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the summaries will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted tutorial summary must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each tutorial has to be run by all organizers. Therefore, each tutorial organizer must be registered (at least 25% in person, the remaining online). Each accepted tutorial summary will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Tutorial Chairs ** * Amra Delic, University of Sarajevo, Bosnia and Herzegovina * Eelco Herder, University of Utrecht, The Netherlands * Noemi Mauro, University of Turin, Italy Contact information: umap2024-wt at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Wed Jan 3 06:36:25 2024 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 3 Jan 2024 12:36:25 +0100 Subject: Connectionists: Call for Applications: 21st Int.l Summer School on Biometrics 2024 Message-ID: ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? *21st Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* *Biometrics: Trustful, Fair and Privacy-Friendly * *Alghero, Italy ? June 3 - 7 2024* http://biometrics.uniss.it *Contact:* tista at uniss.it *Application deadline: FEBRUARY 29* *th 2024 *(download the application form at: http://biometrics.uniss.it) * For the past 20 years this international Summer School provided and active and dynamic forum to closely follow the most recent developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.* Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today "Biometrics". Over the last two decades automatic biometric recognition reached a very high accuracy even on very large and challenging datasets. However, other issues and concerns, not directly related to the recognition accuracy, arise including the fairness, reliability and trustfulness of current biometric systems. This edition of the school will address these issues trying to answer some compelling questions, such as: How to mitigate bias in biometric systems? How to design privacy-preserving and "ethical" biometric devices? What can we learn from human perception? How to better deploy current AI approaches? How to cope for adversarial attacks in biometric recognition? What is the scalability and real potential for biometric systems? What is the potential impact of biometrics in forensic investigation and crime prevention? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 21st edition, the courses will focus on the lessons learned and on new and emerging issues: * 1. The impact of AI and advanced learning techniques in Biometrics. 2. How to make "Deep Biometric" systems explainable. 3. How to exploit new biometric technologies in forensic and emerging applications. 4. How to develop fair, trustful and privacy-friendly biometric systems. 5. Where are we going now? * The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. Open sessions will be organised with questions and answers moderated by the leading experts in the field. *Participant application* To attend the school classes, physical presence of the participants will be required. In exceptional cases of travel limitations remote participation with videoconference facilities, will be also allowed. The expected school fees will be in the order of 1,700 ? (400 ? in videoconference) for students and 2,300 ? (800 ? in videoconference) for others. The fees will include full board accommodation, all courses and handling material. A limited number of scholarships, partially covering the fees, will be awarded to Phd students, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site http://biometrics.uniss.it Send a filled application form (download from http://biometrics.uniss.it) together with a short resume to: *Prof. Massimo Tistarelli ?* e-mail: *biometricsummerschool at gmail.com* - Submission of applications: February 29th, 2024 - Notification of acceptance: March 15th, 2024 - Registration: April 15th, 2024 *Advance pre-registration is strictly required by February 29th 2024* *School location* The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years. *School Committee:* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA *Distinguished lecturers from past school editions* *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Kevin Bowyer * University of Notre Dame ? USA *Alice O?Toole* University of Texas ? USA *Deepak Chandra * Google Inc. ? USA *Maja Pantic* Imperial College ? UK *Rama Chellappa* University of Maryland ? USA *Johnathon Phillips* NIST ? USA *John Daugman* University of Cambridge ? UK *Tomaso Poggio* MIT ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Wed Jan 3 09:51:15 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 3 Jan 2024 14:51:15 +0000 Subject: Connectionists: ACM UMAP 2024 - 3rd Call for Workshop Proposals Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-workshop/ ACM UMAP 2024 - Call for Workshop Proposals ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is pleased to invite proposals for workshops to be held in conjunction with the conference. The workshops will provide a venue to discuss and explore key emerging areas of user modeling, recommender systems and adaptive hypermedia research, among others, with a group of like-minded researchers and practitioners from industry and academia. Please consult the ACM UMAP 2024 general call for full and short papers concerning the key topics of this call as well. In this edition, our goal is to have a balanced workshop program, comprising different workshop formats and combining newly emerging, currently evolving, and established research topics. Workshops are encouraged to be as dynamic and interactive as possible. Different full-day and half-day workshop schemas are possible, such as: * Working group meetings around a specific problem or topic where participants are asked to submit a white paper or position statement. * Traditional mini-conferences on key, emerging, specialized topics, having their own paper submission and review processes. * Mini-competitions or research challenges around selected topics, with either individual or team participation and their own evaluation processes * Interactive discussion meetings focusing on subtopics of the main conference general tracks, with interactivity and engagement in mind. * Joint panels aiming to synthesize insights from diverse perspectives by bringing together experts from different workshops or sessions. ** Important Dates ** * Workshop Proposal Submission: January 11, 2024 * Notification: February 1, 2024 * Workshop Description & Website URL Submission: February 24, 2024 * Workshop Summary Camera-ready Submission (TAPS system): May 16, 2024 * Workshop Day: July TBD, 2024 (it will happen in one of the conference days) We strongly encourage the organizers of accepted workshops to diligently follow the suggested deadlines in the schedule for the authors of workshop papers: * (Suggested) 1st Call for Workshop Papers: February 28, 2024 * (Suggested) 2nd Call for Workshop Papers: April 13, 2024 * (Suggested) Workshop Paper Submission: April 24, 2024 * (Suggested) Notification: May 8, 2024 * (Mandatory) Workshop Papers Camera-ready Submission (TAPS system): May 16, 2024 These dates are synchronized with the notification of paper acceptance in the main conference track, and the availability of early registration for the authors of accepted workshop papers. Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All workshop proposals must be written in English. Proposals should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Workshop and Tutorial Proposals? track. ** Length and Formatting ** *Format*: Each proposal should be arranged into a single PDF document, not exceeding 5 pages (references included). *Template*: Following the ACM Publication Workflow, the proposal should be arranged based on the new ACM single-column format. Instructions for the organizers are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Structure*: Each proposal is expected to include the following information: * Workshop title and acronym. * Workshop chair(s), including, for each organizer, their affiliation, main email address, website link, and experiences in organizing such events. Note that organizers are expected to attend the workshop and be actively involved in its organization. * Abstract (up to 300 words) and topics of interest. * Keywords (at least 3). * Motivation on why the workshop is of particular interest at this time and how it complements (rather than duplicates) the topics of the main conference. * Workshop format, particularly discussing the mix of expected events, such as paper presentations, invited talks, panels, and general discussions. * Short description of the intended audience and the expected number of participants, including how they will be selected. * List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal). The program committee is mandatory. * Requested duration (half day or full day). * When available, past editions of the workshop, including their website URLs, a brief statement on the development of the workshop series, e.g., in terms of topics, number of paper submissions and participants, post-workshop publications over the years and acceptance statistics. * If this would be the first edition of the workshop, a description of how this workshop differs from others on the same or similar topics (include conference name and year). * Any other relevant information to support your proposal. ** Instructions ** *Support*: We encourage both researchers and industry practitioners to submit workshop proposals. Researchers interested in submitting a workshop proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for workshop proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. *Diversity*: We strongly suggest involving organizers from different institutions, bringing their different perspectives to the workshop topic. We welcome workshops with a creative structure that may attract various types of participants and may ensure rich interactions. *Expectations*: The organizers of accepted workshops are expected to set up a webpage for the workshop including detailed information about the workshop organization and timeline, disseminate a call for papers, a call for participation, select reviewers, and gather reviews before selecting the final program. They will be responsible for their own publicity and reviewing processes. *Proceedings*: There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. A camera-ready summary of the workshop should be written by the organizers to be included in these adjunct proceedings. Moreover, all workshop papers will be published in the same proceedings. Hence, the workshop organizers will need to make sure that the authors of workshop papers adhere to the adjunct proceedings publication timeline. *Camera-ready Information*: Accepted summaries/papers will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the summaries/papers will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted workshop summary must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each workshop has to be run by all organizers. Therefore, each workshop organizer must be registered (at least 25% in person, the remaining online). Each accepted workshop summary will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. Each accepted workshop paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted workshop paper can be presented either in person or online and will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Workshop Chairs ** * Amra Delic, University of Sarajevo, Bosnia and Herzegovina * Eelco Herder, University of Utrecht, The Netherlands * Noemi Mauro, University of Turin, Italy Contact information: umap2024-wt at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Jan 3 15:31:55 2024 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Wed, 3 Jan 2024 20:31:55 +0000 Subject: Connectionists: NEURAL NETWORKS, January 2024 Message-ID: Neural Networks - Volume 169, January 2024 https://www.journals.elsevier.com/neural-networks Announcement of the 2021 Neural Networks Best Paper Award Taro Toyoizumi, DeLiang Wang Editorial: A surge of submissions Taro Toyoizumi, DeLiang Wang Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models Hayato Idei, Yuichi Yamashita A survey on few-shot class-incremental learning Songsong Tian, Lusi Li, Weijun Li, Hang Ran, ... Prayag Tiwari A survey on cancer detection via convolutional neural networks: Current challenges and future directions Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, M. Tanveer, Rajashree Nayak An interactive cortical architecture for perceptual organization by accentuation Dra?en Domijan, Mateja Mari? Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam, Tae-Kyung Kang, ... Seong-Whan Lee BI-FedGNN: Federated graph neural networks framework based on Bayesian inference Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, ... Pengda Wang FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing Zhongqi Lin, Zengwei Zheng Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, ... Leszek Rutkowski Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, ... Baocai Yin Graph-based methods coupled with specific distributional distances for adversarial attack detection Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat ComCo: Complementary supervised contrastive learning for complementary label learning Haoran Jiang, Zhihao Sun, Yingjie Tian Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics Shaohui Wang, Youjia Shao, Na Tian, Wencang Zhao Almost periodic quasi-projective synchronization of delayed fractional-order quaternion-valued neural networks Xiaofang Meng, Zhouhong Li, Jinde Cao Few-shot image generation with reverse contrastive learning Yao Gou, Min Li, Yusen Zhang, Zhuzhen He, Yujie He Deterministic learning-based neural identification and knowledge fusion Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, ... Cong Wang Automatic selection of spoken language biomarkers for dementia detection Xiaoquan Ke, Man Wai Mak, Helen M. Meng To understand double descent, we need to understand VC theory Vladimir Cherkassky, Eng Hock Lee Reservoir computing models based on spiking neural P systems for time series classification Hong Peng, Xin Xiong, Min Wu, Jun Wang, ... Mario J. P?rez-Jim?nez Boosting fine-tuning via Conditional Online Knowledge Transfer Zhiqiang Liu, Yuhong Li, Chengkai Huang, KunTing Luo, Yanxia Liu Balanced influence maximization in social networks based on deep reinforcement learning Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, ... Youquan Wang Multi-scale feature selection network for lightweight image super-resolution Minghong Li, Yuqian Zhao, Fan Zhang, Biao Luo, ... Kan Chang Leveraging spatial residual attention and temporal Markov networks for video action understanding Yangyang Xu, Zengmao Wang, Xiaoping Zhang Discriminative multimodal learning via conditional priors in generative models Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen Nonparametric tensor ring decomposition with scalable amortized inference Zerui Tao, Toshihisa Tanaka, Qibin Zhao Improving few-shot relation extraction through semantics-guided learning Hui Wu, Yuting He, Yidong Chen, Yu Bai, Xiaodong Shi Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning HG-PerCon: Cross-view contrastive learning for personality prediction Meiling Li, Yangfu Zhu, Shicheng Li, Bin Wu Reduced-complexity Convolutional Neural Network in the compressed domain Hamdan Abdellatef, Lina J. Karam Low-variance Forward Gradients using Direct Feedback Alignment and momentum Florian Bacho, Dominique Chu Preserving specificity in federated graph learning for fMRI-based neurological disorder identification Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu Maximum margin and global criterion based-recursive feature selection Xiaojian Ding, Yi Li, Shilin Chen AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, ... Yijie Ding Filter pruning for convolutional neural networks in semantic image segmentation Clara I. L?pez-Gonz?lez, Esther Gasc?, Fredy Barrientos-Espillco, Eva Besada-Portas, Gonzalo Pajares Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms Yurou Chen, Fengyi Zhang, Zhiyong Liu Grasping detection of dual manipulators based on Markov decision process with neural network Juntong Yun, Du Jiang, Li Huang, Bo Tao, ... Baojia Chen Saturation function-based continuous control on fixed-time synchronization of competitive neural networks Caicai Zheng, Cheng Hu, Juan Yu, Shiping Wen Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization Banghua Huang, Yang Liu, Yun-Liang Jiang, Jun Wang An event-triggered collaborative neurodynamic approach to distributed global optimization Zicong Xia, Yang Liu, Jun Wang Denoising cosine similarity: A theory-driven approach for efficient representation learning Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, ... Takafumi Kanamori A framework for controllable Pareto front learning with completed scalarization functions and its applications Tran Anh Tuan, Long P. Hoang, Dung D. Le, Tran Ngoc Thang VC dimensions of group convolutional neural networks Philipp Christian Petersen, Anna Sepliarskaia AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, ... Dacheng Tao Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters Hongliang Liu, Jun Cheng, Jinde Cao, Iyad Katib Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor Fuqiang Wu, Hao Meng, Jun Ma Neurodynamic approaches for multi-agent distributed optimization Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, ... Jinde Cao Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design Jianping Zhou, Xiaofeng Ma, Zhilian Yan, Sabri Arik Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, ... Yilong Zang M-DDC: MRI based demyelinative diseases classification with U-Net segmentation and convolutional network Deyang Zhou, Lu Xu, Tianlei Wang, Shaonong Wei, ... Jiuwen Cao An efficient multi-scale learning method for image super-resolution networks Wenyuan Ying, Tianyang Dong, Jing Fan Adaptive class augmented prototype network for few-shot relation extraction Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, ... Xue Li Heterogeneous context interaction network for vehicle re-identification Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, ... Yilong Yin GRAND: GAN-based software runtime anomaly detection method using trace information Shiyi Kong, Jun Ai, Minyan Lu, Yiang Gong Temporal shuffling for defending deep action recognition models against adversarial attacks Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis Ke Chen, Ying Weng, Akram A. Hosseini, Tom Dening, ... Yiming Zhang Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting Slawek Smyl, Grzegorz Dudek, Pawe? Pe?ka Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, ... Fayadh Alenezi A benchmarking protocol for SAR colorization: From regression to deep learning approaches Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt -------------- next part -------------- An HTML attachment was scrubbed... URL: From bbiancardi at cesi.fr Thu Jan 4 06:22:32 2024 From: bbiancardi at cesi.fr (BIANCARDI Beatrice) Date: Thu, 4 Jan 2024 11:22:32 +0000 Subject: Connectionists: [AVI 2024] DEADLINE EXTENSION to January 24 (abstract: January 17) In-Reply-To: References: Message-ID: [AVI 2024] DEADLINE EXTENSION to January 24 (abstract: January 17) Due to many requests, the submission deadline for Long and Short papers has been extended to January 24 (abstract due by January 17) ACM in-cooperation Conference on Advanced Visual Interfaces ====================================== 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ====================================== [https://lh7-us.googleusercontent.com/-sgfghAmB-uJM6_s7GUPDsyHy9ka7bw9M2EdcLJAHwj_7pcSvPQiTmEh-eCf-3RF1f0tozzSy9rl1jSSHKAkjPuhufn-g4lN9eSLiR67H64bQt6PEhjB99ZwTTl0yGIkp-fJeris-4bwF4czaqBZ_lw] IMPORTANT DATES Long and short papers: - Abstract submission: Wednesday, January 17 (January 10) 2024 - Paper submission: Wednesday, January 24 (January 17) 2024 (all deadlines are 23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 ----------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Thanks to advances in technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy and is held in-cooperation with ACM, SIGCHI, SIGMM, SIGWEB. We look forward to your participation in AVI 2024! Ilaria Torre (AVI 2024 Program Chair) AVI 2024 General Chairs .Cristina Conati, University of British Columbia, Vancouver .Gualtiero Volpe, University of Genoa For information or requests, please contact avi2024 at easychair.org ----------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Visual Interfaces Computer Supported Cooperative Work Conversational Interfaces Full-body Interaction Human-AI Interaction Visual Interfaces for Human-Centered AI Systems Information Visualization Intelligent Interfaces Creative AI for advanced visual interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Generative AI for the design and development of visual interfaces Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for i-TV Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces for Children Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices User Interfaces for the Internet of Things Usability and Accessibility Usability and (Cyber)Security Virtual and Augmented Reality Visual Analytics LONG AND SHORT RESEARCH PAPERS We solicit high-quality original research papers in the area of advanced visual interfaces and Human-Computer Interaction in general. All submissions will be peer-reviewed by an international panel of experts. Long and Short papers are publications that address AVI 2024 topics and describe original, unpublished research. Submissions must be anonymized. The maximum length of long papers is 8 pages (with one additional page for references). The maximum length of short papers is 4 pages (with one additional page for references). SUBMISSION FORMAT All the papers require online submission. Authors must format submissions according to the ACM SIGCONF template. Please find the templates below: - Latex for Overleaf: https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty - Word Template: https://www.acm.org/publications/proceedings-template Long and short papers must be anonymized, removing information (such as authorship, acknowledgments, name of an application, or software, or project) that can suggest the authors' identity. Citation to authors' previous work should not be anonymous and should be in third person in the text, e.g., "As described by [10]" and not "As described in our previous work [10]". Papers must be submitted online on EasyChair https://easychair.org/conferences/?conf=avi2024 Authors are required to send a 250-word abstract by the abstract deadline, one week before final submission, to speed up the paper assignment to reviewers. PROCEEDINGS Since 1994, accepted long and short research papers are included in the Proceedings published by ACM Press and available in the ACM Digital Library. For each accepted paper, at least one author must register to AVI 2024 by the early registration deadline for authors and present the paper at the Conference. ----------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Patern?, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Universit? C?te d'Azur, France ----------------------------------------------------------------- @avi2024conference (https://www.facebook.com/avi2024conference/) @avi2024conference (https://www.instagram.com/avi2024conference/) @avi2024conf (https://twitter.com/avi2024conf) @avi2024conference https://www.linkedin.com/company/avi2024conference/ [cid:image008.png at 01DA3F08.AC024890] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi at cesi.fr https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image009.png at 01DA3F08.AC024890] [cid:image010.png at 01DA3F08.AC024890] [cid:image011.png at 01DA3F08.AC024890] [cid:image012.png at 01DA3F08.AC024890] [cid:image013.png at 01DA3F08.AC024890] cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image013.png Type: image/png Size: 590 bytes Desc: image013.png URL: From s.van.albada at fz-juelich.de Thu Jan 4 06:32:03 2024 From: s.van.albada at fz-juelich.de (Sacha van Albada) Date: Thu, 4 Jan 2024 12:32:03 +0100 Subject: Connectionists: =?utf-8?q?PhD_and_postdoc_position_at_J=C3=BClich?= =?utf-8?q?_Research_Center?= Message-ID: <919ec952-53be-1657-cdde-eb688d650867@fz-juelich.de> PhD and postdoc position in large-scale brain modeling and simulation at J?lich Research Center PhD and postdoc opportunities with a focus on the simulation of large-scale biological neural networks are available in the Theoretical Neuroanatomy group at J?lich Research Center, Germany (https://www.fz-juelich.de/en/inm/inm-6/forschung/theoretical-neuroanatomy). The projects will advance a research program that centers on the full-scale simulation of thalamocortical networks using the simulator NEST. The postdoc position is available in the context of the Henriette Herz Scouting Program of the Humboldt Foundation, and will be offered to a female candidate. The program is particularly aimed at candidates from countries underrepresented in the Humboldt Foundation. We will jointly define a research project and the selected candidate will receive a Humboldt Research Fellowship (https://www.humboldt-foundation.de/en/apply/sponsorship-programmes/humboldt-research-fellowship). The position is available for 24 months for postdocs up to 4 years after the PhD defense and for 18 months for experienced researchers 4-12 years after the PhD defense. The PhD defense should not be more than 12 years ago, and candidates should not have previous or existing links to Germany in terms of study, research stays, or citizenship. Due consideration will be given to any gaps in the CV due to family care or other personal circumstances. The PhD position is open to candidates regardless of gender. The candidate should have a background in physics, mathematics, computer science, biology (or specifically neuroscience), or engineering. Excellent quantitative and analytical skills are highly valued. We offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for local and international collaboration. The researchers will be embedded in a vibrant research institute (https://www.csn.fz-juelich.de). Links also exist to the University of Cologne, so that candidates can gain teaching/tutoring experience. To apply, please send a motivation letter, CV, and university transcripts and certificates to s.van.albada at fz-juelich.de and to our scientific coordinator Martina Reske (m.reske at fz-juelich.de). -- Prof. Sacha Jennifer van Albada Institute of Neuroscience and Medicine (INM-6) Tel. +49 2461 61-96808 Computational and Systems Neuroscience & Fax +49 2461 61-9460 Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience & JARA-Institut Brain Structure-Function Relationships (INM-10) J?lich Research Centre J?lich, Germany Computational Neuroanatomy Tel. +49-221-470-3829 Institute of Zoology Fax +49-221-470-4889 University of Cologne Cologne, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Fri Jan 5 04:50:46 2024 From: m.biehl at rug.nl (Michael Biehl) Date: Fri, 5 Jan 2024 10:50:46 +0100 Subject: Connectionists: retraction of a plagiarized publication Message-ID: Dear Connectionists. It is my pleasure to announce that a fraudulent and blatantly plagiarized publication from July 2023, (allegedly) about the training of layered neural networks in time-dependent envrionments, has been retracted by the Editorial Office of MDPI Applied Sciences, at last. The retraction process was very slow and unpleasant. Please see https://www.mdpi.com/2076-3417/14/2/476 for details and links to the plagiarized original pieces of work. Note that the term "overlap" in the retraction notice is way too polite in view of the brazen "cut-and-paste" approach of the "authors". -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science & Artificial Intelligence P.O. Box 407, 9700 AK Groningen, NL https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From hugo.o.sousa at inesctec.pt Fri Jan 5 05:32:27 2024 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Fri, 5 Jan 2024 10:32:27 +0000 Subject: Connectionists: Text2Story'24 Deadline Extension Message-ID: <5cef0734d71144fa9b2b682814425ddc@inesctec.pt> *** Apologies for cross-posting *** ++ DEADLINE EXTENSION ++ **************************************************************************** Seventh International Workshop on Narrative Extraction from Texts (Text2Story'24) Held in conjunction with the 46th European Conference on Information Retrieval (ECIR'24) March 24th, 2024 ? Glasgow, Scotland Website: https://text2story24.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission Deadline: January 10th January 17th, 2024 - Acceptance Notification: February 23rd, 2024 - Camera-ready copies: March 15th, 2024 - Workshop: March 24th, 2024 ++ Overview ++ Over these past years, significant breakthroughs, led by Transformers and Large Language Models (LLMs), have been made in understanding natural language text. However, the ability to capture, represent, and analyze contextual nuances in longer texts is still an elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. In the seventh edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g, chatGPT) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation and understanding from texts including but not limited to narrative information extraction aspects, narratives representation, knowledge extraction, ethics and bias in narratives, datasets and evaluation protocols and narrative applications such as visualization of narratives, multi-modal aspects, Q&A, etc. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: Information Extraction Aspects * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Big Data Applied to Narrative Extraction Narrative Representation * Annotation protocols * Narrative Representation Models * Lexical, Syntactic, and Semantic Ambiguity in Narrative Representation Narrative Analysis and Generation * Argumentation Analysis * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Comprehension of Generated Narratives * Story Evolution and Shift Detection * Automatic Timeline Generation Datasets and Evaluation Protocol * Evaluation Methodologies for Narrative Extraction * Annotated datasets * Narrative Resources Ethics and Bias in Narratives * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking Narrative Applications * Narrative-focused Search in Text Collections * Narrative Summarization * Narrative Q&A * Multi-modal Narrative Summarization * Sentiment and Opinion Detection in Narratives * Social Media Narratives * Narrative Simplification * Personalization and Recommendation of Narratives * Storyline Visualization ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset - published at ECIR'21 - under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks (e.g., Q&A), especially when combined with Large Language Models (LLMs) like ChatGPT. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We solicit the following types of contributions: * Full papers up to 8 pages + references Original and high-quality unpublished contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Short papers up to 5 pages + references Unpublished short papers describing work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. * Demos | Resource Papers up to 5 pages + references Unpublished papers presenting research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community; Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Invited Speakers ++ Homo narrans: From Information to Narratives Jochen L. Leidner, Coburg University of Applied Sciences, Germany Abstract: Humans are curious creatures, equipped with a sense of (and desire for) finding meaning in their environment. They are predisposed to identify patterns, real and spurious, in the world they live in, and above anything else, they understand the world in terms of narratives. In this talk, we will explore a set of questions about narratives: what is a narrative made up of? What signals from textual prose tell us what the narrative is? What about signals from structured data that imply a particular narrative? What is the essence of a story? How can narrative information be extracted and presented? Open source intelligence analysts and investigative reporters alike are hunting for the story, the narrative, behind the petabyte intercepts or terabyte leaks. The more data we gather or have available, the stronger will be our thirst to distill meaningful stories from it. Bio: Professor Jochen L. Leidner MA MPhil PhD FRGS is the Research Professor for Explainable and Responsible Artificial Intelligence in Insurance at Coburg University of Applied Sciences and Arts, Germany, where he leads the Information Access Research Group, a Visiting Professor of Data Analytics in the Department of Computer Science, University of Sheffield and founder and CEO of the consultancy KnowledgeSpaces. He is also a Fellow of the Royal Geographical Society. Dr. Leidner's experience includes positions as Director of Research at Thomson Reuters and Refinitiv in London, where he headed its R&D team (2013-2022). He has built up research and innovation teams. He was also the Royal Academy of Engineering Visiting Professor of Data Analytics at the Department of Computer Science. His background includes a Master's in computational linguistics, English and computer science (University of Erlangen-Nuremberg), a Master's in Computer Speech, Text and Internet Technology (University of Cambridge) and a PhD in Informatics (University of Edinburgh), which won the first ACM SIGIR Doctoral Consortium Award. He is a scientific expert for the European Commission (FP7, H2020, Horizon Europe) and other funding bodies in Germany, Austria, the UK and the USA. He also is a past chair of the Microsoft-BCS/BCS IRSG Karen Sparck Jones award. Professor Leidner is an author or co-author of several dozen peer-reviewed publications (including one best paper award), has authored or co-edited two books and holds several patents in the areas of information retrieval, natural language processing, and mobile computing. He has been twice winner of the Thomson Reuters inventor of the year award for the best patent application, and is the past received of a Royal Society of Edinburgh Enterprise Fellowship in Electronic Markets. Visual Storytelling with Question-Answer Plans Mirella Lapata, University of Edinburgh, Scotland Abstract: Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with external knowledge sources or advanced graph structures. Despite recent progress, the stories are often repetitive, illogical, and lacking in detail. To mitigate these issues, we present a novel framework which integrates visual representations with pretrained language models and planning. Our model translates the image sequence into a visual prefix, a sequence of continuous embeddings which language models can interpret. It also leverages a sequence of question-answer pairs as a blueprint plan for selecting salient visual concepts and determining how they should be assembled into a narrative. Automatic and human evaluation on the VIST benchmark (Huang et al., 2016) demonstrates that blueprint-based models generate stories that are more coherent, interesting, and natural compared to competitive baselines and state-of-the-art systems. Bio: Professor Mirella Lapata is a faculty member in the School of Informatics at the University of Edinburgh. She is affiliated with the Institute for Communicating and Collaborative Systems and the Edinburgh Natural Language Processing Group. Her research centers on computational models for the representation, extraction, and generation of semantic information from structured and unstructured data. This encompasses various modalities, including text, images, video, and large-scale knowledge bases. Prof. Lapata has contributed to diverse applied Natural Language Processing (NLP) tasks, such as semantic parsing, semantic role labeling, discourse coherence, summarization, text simplification, concept-to-text generation, and question answering. Using primarily probabilistic generative models, she has employed computational models to investigate aspects of human cognition, including learning concepts, judging similarity, forming perceptual representations, and learning word meanings. The overarching objective of her research is to empower computers to comprehend requests, execute actions based on them, process and aggregate large datasets, and convey information derived from them. Central to these endeavors are models designed for extracting and representing meaning from natural language text, internally storing meanings, and leveraging stored meanings to deduce further consequences. ++ Organizing committee ++ Ricardo Campos (INESC TEC; University of Beira Interior, Covilh?, Portugal) Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ Jo?o Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Concei??o Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ ?lvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Universit? de La Rochelle) Ant?nio Horta Branco (University of Lisbon) Anubhav Jangra (IIT Patna, Japan) Arian Pasquali (Faktion AI) Bart Gajderowicz (University of Toronto) Bego?a Altuna (Universidad del Pa?s Vasco) Behrooz Mansouri (Rochester Institute of Technology) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Brucce dos Santos (Computational Intelligence Laboratory (LABIC) - ICMC/USP) David Semedo (Universidade NOVA de Lisboa) Deya Banisakher (Florida International University) Dhruv Gupta (Norwegian University of Science and Technology) Evelin Amorim (INESC TEC) Henrique Lopes Cardoso (LIACC & University of Porto) Ignatius Ezeani (Lancaster University) Irina Rabaev (Shamoon College of Engineering) Ismail Altingovde (Middle East Technical University) Jo?o Paulo Cordeiro (INESC TEC & University of Beira Interior) Liana Ermakova (HCTI, Universit? de Bretagne Occidentale) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Luis Filipe Cunha (INESC TEC & University of Minho) Marc Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Mariana Caravanti (Computational Intelligence Laboratory (LABIC) - ICMC/USP) Moreno La Quatra (Kore University of Enna) Natalia Vanetik (Sami Shamoon College of Engineering) Nuno Guimar?es (INESC TEC & University of Porto) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Purifica??o Silvano (CLUP & University of Porto) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) S?rgio Nunes (INESC TEC & University of Porto) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Valentina Bartalesi (ISTI-CNR, Italy) ++ Contacts ++ Website: https://text2story24.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2024 at easychair.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Fri Jan 5 13:37:27 2024 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Fri, 5 Jan 2024 12:37:27 -0600 Subject: Connectionists: Special issue is open: Computational Intelligence for Fault Detection and Classification Message-ID: ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- Dear colleague, you are cordially invite to participate in Computational Intelligence for Fault Detection and Classification for Machines-MDPI Computational intelligence has become increasingly important for fault detection and classification in a wide range of systems, including manufacturing processes, power grids, and transportation systems. By analyzing large volumes of data generated by these systems, computational intelligence techniques can identify patterns and detect anomalies that might indicate the presence of faults, errors, or intrusions. These algorithms can also be used to predict when faults might occur, allowing for preventative maintenance and reducing the risk of downtime or safety hazards. In addition, computational intelligence techniques can aid in isolating the cause of a fault, which can be crucial for efficient repairs and minimizing the impact on the overall system. As such, computational intelligence for fault detection and classification represents a promising approach for improving the safety, reliability, and efficiency of complex systems, mainly in this modern interconnected world. Papers with mathematical analysis and real-world application are particularly welcome. Topics of interest include but are not limited to: - Computational intelligence for fault modeling; - Computational intelligence for fault tolerant control; - Computational intelligence for fault detection and diagnosis; - Computational intelligence for fault classification and isolation; - Computational intelligence for false data injection; - Computational intelligence in cybersecurity; - Computational intelligence to detect anomalies; - Fault detection and classification applied to robotics, dynamic systems, complex networks, biomedical systems, energy systems, industry, transportation, mechatronics, cyber-physical systems, economics and others. Deadline for manuscript submissions: 10 September 2024 Manuscript Submission Information Manuscripts should be submitted online at https://www.mdpi.com/journal/machines/special_issues/1AO79KFJXC *Prof. Dr. Alma Y. Alanis* Guest Editor Dean of Technologies for Ciber-Human Integration Division Professor at Innovation Department CUCEI, University of Guadalajara webpage National Research System Level 2, Member of the Mexican Academy of Sciences, Senior Member IEEE, *IEEE-CSS Technical Committee on Intelligent Control,* *IEEE-CIS Task Force on Computational Intelligence in Latin America* Editor at: JFI, TMECH, TCYB, IASC, EAAI, Neural Networks -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jan 6 03:41:58 2024 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 6 Jan 2024 09:41:58 +0100 (CET) Subject: Connectionists: DeepLearn 2024: early registration January 30 Message-ID: <494068796.2348990.1704530518760@webmail.strato.com> ****************************************************** 11th INTERNATIONAL SCHOOL ON DEEP LEARNING (and the Future of Artificial Intelligence) DeepLearn 2024 Porto ? Maia, Portugal July 15-19, 2024 https://deeplearn.irdta.eu/2024/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************** Early registration: January 30, 2024 ****************************************************** SCOPE: DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. This year?s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Jiawei Han (University of Illinois Urbana-Champaign), How Can Large Language Models Contribute to Effective Text Mining? Katia Sycara (Carnegie Mellon University), Effective Multi Agent Teaming PROFESSORS AND COURSES: Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning Gustau Camps-Valls (University of Val?ncia), [intermediate] AI for Earth, Climate, and Sustainability Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Introduction to Representation Learning on Graphs Daniel Cremers (Technical University of Munich), [introductory/advanced] Deep Networks for 3D Computer Vision Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Yulan He (King?s College London), [introductory/intermediate] Machine Reading Comprehension with Large Language Models Frank Hutter (University of Freiburg), [intermediate/advanced] AutoML George Karypis (University of Minnesota), [intermediate] Deep Learning Models and Systems for Real-World Graph Machine Learning Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective Massimiliano Pontil (Italian Institute of Technology), [intermediate/advanced] Operator Learning for Dynamical Systems Elisa Ricci (University of Trento), [intermediate] Continual and Adaptive Learning in Computer Vision Xinghua Mindy Shi (Temple University), [intermediate] Trustworthy Artificial Intelligence for Health and Medicine Michalis Vazirgiannis (?cole Polytechnique), [intermediate/advanced] Graph Machine Learning and Multimodal Graph Generative AI James Zou (Stanford University), [introductory/intermediate] Large Language Models and Biomedical Applications OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 7, 2024. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. HACKATHONS: Hackathons will take place, where participants will work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer. The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced on the final day. The winning teams will receive a small prize and the runners-up will get a certificate. EMPLOYERS: Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2024/sponsoring/ ORGANIZING COMMITTEE: Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2024/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available at https://deeplearn.irdta.eu/2024/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aminifar at eit.lth.se Sun Jan 7 05:09:09 2024 From: amir.aminifar at eit.lth.se (Amir Aminifar) Date: Sun, 7 Jan 2024 10:09:09 +0000 Subject: Connectionists: PhD/Postdoc Positions in ML, Lund University, Sweden Message-ID: Lund University has several fully-funded attractive PhD/Postdoc positions in Machine Learning. Topics of interest include (but are not limited to): (1) Privacy-Preserving Federated Learning, (2) Trustworthy ML, including safe/robust/privacy-preserving/secure ML, and (3) Energy-Efficient/Tiny ML for IoT. Please see below: https://lu.varbi.com/what:job/jobID:679804/ Should you need any further information, please do not hesitate to get in touch. -- Amir Aminifar, Associate Senior Lecturer, Department of Electrical and Information Technology, Lund University, Sweden. -------------- next part -------------- An HTML attachment was scrubbed... URL: From juffi at faw.jku.at Sun Jan 7 05:40:52 2024 From: juffi at faw.jku.at (=?UTF-8?Q?Johannes_F=C3=BCrnkranz?=) Date: Sun, 7 Jan 2024 11:40:52 +0100 Subject: Connectionists: PhD Position in Symbolic/Interpretable ML or Game Playing Message-ID: On-line Version: https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/about-us/open-positions/ We are currently looking for a university assistant (full-time doctoral student for up to 4 years) for the Computational Data Analytics group of Prof. Johannes F?rnkranz. We are particularly interested in researchers who will strengthen our expertise in one or more of the following areas: ? Machine Learning and Game Playing ? Symbolic Machine Learning ? Machine Learning and Logic ? Inductive Rule Learning ? Interpretable AI ? Data Mining and Knowledge Discovery About the group: The Computational Data Analytics group at JKU Linz has been started by Johannes F?rnkranz in October 2019, within the Institute for Application-Oriented Knowledge Processing (FAW). The group is part of the ELLIS Unit Linz (founded and headed by Sepp Hochreiter) a leading center for machine learning and artificial intelligence research in Austria and beyond. About the location: The area offers excellent quality of living in the heart of Europe ? close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, e.g. with the Ars Electronica, opens an external URL in a new window. Moreover, world-cultural heritage sites such as the cultural landscapes of Hallstatt, opens an external URL in a new window, and the Wachau vine valley, opens an external URL in a new window, or the Historic Centres of ?esk? Krumlov, opens an external URL in a new window, Salzburg, opens an external URL in a new window and Vienna, opens an external URL in a new window are less than two hours away. The picturesque and versatile landscape of Upper Austria provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more), while at the same time Linz and the close-by Softwarepark Hagenberg, opens an external URL in a new window are home to numerous IT research institutes and companies. How to apply: Prospective applicants interested are required to apply on-line. More detailed information, including a link to the application portal can be found here: https://karriere.jku.at/engage/jobexchange/showJobOfferDetail.do?jobOfferId=0cce88bc8bfc1054018c1a735fc70c51 Please provide us with (at least) - a current CV - a motivation letter - a research statement concerning your conducted and/or planned work in one or more of the above-mentioned areas, and - a sample of your writing in English or German (a thesis, publication, etc.) The position is open until filled, the next decisions will be made shortly after Feb. 7th, 2024. -- Johannes F?rnkranz Computational Data Analytics Institute for Application Oriented Knowledge Processing (FAW) Johannes Kepler University Linz _______________________________________________ Kdml mailing list -- kdml at cs.uni-kassel.de To unsubscribe send an email to kdml-leave at cs.uni-kassel.de From tarek.besold at googlemail.com Mon Jan 8 07:52:13 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Mon, 8 Jan 2024 13:52:13 +0100 Subject: Connectionists: Sony AI: (Senior) Research Scientist Data Mining/Knowledge Discovery & ML Message-ID: At Sony AI -- https://ai.sony/ -- we are searching for a (Senior) Research Scientist Data Mining/Knowledge Discovery & ML to join one of our offices in Barcelona (preferred), Zurich or Tokyo: https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Barcelona/Senior-Research-Scientist---Data-Mining_JR-112943 If you want to work with a highly diverse, international team of scientists and engineers pushing the boundaries of AI/ML research, come with a PhD degree in a relevant subject area and (ideally) with a few years of experience with (i) data mining/knowledge discovery from large datasets and/or (ii) Graph Neural Networks, please don't hesitate and submit an application. If you have any questions regarding the role, the team, or our offices, just get in touch at tarek.besold at sony.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Brad at kairosresearch.com Sun Jan 7 06:59:22 2024 From: Brad at kairosresearch.com (Brandon Minnery) Date: Sun, 7 Jan 2024 11:59:22 +0000 Subject: Connectionists: Industry Job Posting - HCI / LLM Researcher Message-ID: Greetings, Kairos Research is seeking to hire a Senior Human-Computer Interaction Researcher with expertise in human language technology. Position Overview: We currently have an opening for a full-time Senior Human-Computer Interaction Researcher whose work seeks to incorporate recent advances in generative large language models (LLMs). Specific research areas of interest include human-machine dialogue, human-AI alignment, trust (and over-trust) in AI, and the use of multimodal generative AI approaches in conjunction with other tools and techniques (e.g., virtual and/or augmented reality) to accelerate learning in real-world task environments. Additional related projects underway at Kairos involve the integration of generative AI into interactive dashboards for visualizing and interrogating social media narratives. The Human-Computer Interaction Researcher will play a significant role in supporting our growing body of work with DARPA, Special Operations Command, the Air Force Research Laboratory, and other federal sponsors. Company Profile: Kairos Research (https://kairosresearch.com) is a young and dynamic company based in Dayton, OH, conducting cutting-edge research at the intersection of human and artificial intelligence for federal, State, and industry clients. We are especially proud of our culture here at Kairos, where we place a strong emphasis on fostering a mutually supportive, friendly, and collaborative work environment. Creativity and passion for research are the lifeblood of our organization and animate everything we do. For all positions, we offer a competitive salary and benefits package in addition to performance-based incentive programs. The Ideal Candidate: * Is a natural leader who enjoys taking charge of a project and/or team. * Has a track record of writing winning research proposals and building his/her own portfolio of externally funded research. * Has excellent communication skills and enjoys engaging directly with research colleagues and government program officers. Other Preferred Skills: * Experience with 1) deep learning, as well as common associated frameworks (e.g. PyTorch or TensorFlow) and 2) NLP, employing established toolsets (e.g. spaCy, nltk, gensim). * Familiarity with common tools, frameworks, and services for building, testing, and evaluating generative AI, especially LLMs (e.g., HuggingFace, LangChain, OpenAI). * Experience utilizing contemporary LLM frameworks for learning and inference, including supervised fine-tuning LLMs, as well as transformer reinforcement learning (e.g., reinforcement learning with human feedback (RLHF), direct preference optimization (DPO)). * Expertise in evaluating AI alignment/misalignment, diagnosing possible sources of bias, and deploying strategies to address or mitigate poor alignment. This is a great opportunity for an academic research scientist who is seeking a career change but who wants to continue pursuing original research! Job Location: Dayton, Ohio NOTE: Candidates must be US citizens or Permanent Residents (i.e., must hold a green card). REQUIRED: * US citizenship or green card. * Ph.D. in Human-Computer Interaction, Cognitive Science, Computer Science, Linguistics, or related discipline. * 3+ years direct research experience post-Ph.D. * Willingness and ability to obtain independent research funding. * Strong publication record as lead author or senior author in high-impact journals/conferences. * Excellent written and oral presentation skills. Interested candidates should email their CV/resume to techadmin at kairosresearch.com and cc: Locke Welborn (locke at kairosresearch.com ) Brandon (Brad) Minnery, PhD Chief Executive Officer Kairos Research LLC C: (301) 875-6855 | O: (937) 640-3998 E: brad at kairosresearch.com https://kairosresearch.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Sun Jan 7 14:41:23 2024 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Sun, 7 Jan 2024 11:41:23 -0800 Subject: Connectionists: From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024) - Conference Announcement and Call For Papers Message-ID: <7ED5489E-A04A-4CA4-9541-072CACCD77BC@uci.edu> Happy New Year Connectionists! On September 9-12, 2024, UC Irvine will be hosting this year?s From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024). The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in ?From Animals to Animats 17. SAB 2024.? Lecture Notes in Artificial Intelligence, Springer Nature. We have a great lineup of confirmed speakers: Oliver Brock ? Technische Universitat Berlin Lola Canamero ? CY Cergy Paris University Kris Carlson ? BrainChip Jeff Clune ? The University of British Columbia Jens Krause ? Leibniz Institute of Freshwater Ecology and Inland Fisheries Maja Mataric ? University of Southern California Praveen Pilly ? Intelligent Systems Laboratory at HRL Laboratories Jun Tani ? Okinawa Institute of Science and Technology Janet Wiles ? University of Queensland More conference information is available at: https://sites.uci.edu/sab2024/ Venue -------- CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA CALL FOR PAPERS - SAB 2024 (April 1, 2024 Deadline) ????????????????????? More details can be found at: https://sab2024.socsci.uci.edu/call-for-papers Important Dates ---------------------- April 1, 2024: Deadline for paper submission April 15, 2024: Deadline for Workshop and tutorial proposals June15, 2024: Notice of acceptance June 30, 2024: Camera-ready papers September 9-12: Conference dates Hope to see you in September! Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma https://sites.uci.edu/sab2024/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Mon Jan 8 07:27:16 2024 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Mon, 8 Jan 2024 12:27:16 +0000 Subject: Connectionists: Three fully funded PhD Studentships at Sussex AI In-Reply-To: References: Message-ID: Dear all, We have three fully-funded (internationals included) PhD studentships available within Sussex AI, starting in September 2024! This is a great opportunity for doctoral research in our interdisciplinary Centre of Excellence based at the University of Sussex, where we are the focal point for research in AI methods and applications. We encourage prospective students to submit innovative proposals that either: - Engage with theoretical challenges in Artificial Intelligence. - Develop new Artificial Intelligence methods that have the potential to enable novel applications. - Address complex problems requiring research at the intersection of traditional disciplinary boundaries. To find out more information, check out the full advert https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1686-Sussex-AI-PhD-Studentship Best regards, Thomas (co-director of Sussex AI) -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Mon Jan 8 06:01:13 2024 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Mon, 8 Jan 2024 11:01:13 +0000 Subject: Connectionists: ESANN 2024 call for papers Message-ID: ESANN 2024 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 9-10-11 October 2024 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: 2 May 2024. The ESANN conference addresses machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. ESANN 2024 builds on a successful series of conferences organized every year since 1993. Over the years, ESANN has become a major scientific event in the field of artificial intelligence. The conference will be organized in hybrid mode. In-person attendance is preferred, but online participation is available for those who prefer not to travel. The physical conference will be held in Bruges, one of the most beautiful medieval cities in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is listed as a UNESCO World Heritage Site, is a veritable open-air museum in itself. We look forward to receiving your contribution to ESANN 2024 and to seeing you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Mon Jan 8 06:44:26 2024 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 8 Jan 2024 12:44:26 +0100 Subject: Connectionists: Workshop: Origins of Order in Behaviour: Deadline Jan 31st Message-ID: Dear Colleagues! We would like to remind you about our Workshop of Ideas in 2024! On April 19-21th in Warsaw, we will discuss the *origins of order in behaviour.* Animal behaviour seems, almost by definition, flexible and variable. But it is ? at the same time ? stable, predictable and robust. Migratory birds in every generation make the same travel between distant lands, finding the same spot without previous experience. Different species of Peromyscus mice dig burrows that are highly stereotyped. Human languages around the globe hold many universals. Where does this order come from? The goal of our workshop is to discuss the *different ways in which animal behaviour can be canalized*. We want to talk about genetic influences on behaviour, the way the environment shapes behavioural development and the newest computational methods that allow us to model the evolution and the development of behaviour. The workshop will be organized on April 19-21th in Jazd?w estate, in Finnish wooden house run by NGOs that host workshops, seminars, and conferences (Otwarta Pracownia Jazd?w). Please find more information here: https://nenckiopenlab.org/origins_of_order/ Best! Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Sun Jan 7 20:37:41 2024 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Mon, 8 Jan 2024 02:37:41 +0100 Subject: Connectionists: 16th International Conference on Human System Interaction : call for special sessions Message-ID: HSI 2024 cordially invites you to organize special sessions.HSI 2024 will include Special Sessions on highly specialized topic areas reporting technical trends and breakthroughs in human-system interaction. Papers in these sessions undergo a regular review process as those in general sessions. 16th International Conference on Human System Interaction Paris, 8-11 July 2024 http://hsi2024.welcometohsi.org IMPORTANT DATES *Workshops, Tutorials, and Special Sessions Submissions* January 31, 2024 *Full paper submission* April 10, 2024 *Notification of acceptance* May 20, 2024 *Final paper submission* June 1, 2024 *Conference dates* July 08-11, 2024 WORKSHOPS, TUTORIALS, AND SPECIAL SESSIONS HSI 2024 will include Workshops, Tutorials, and Special Sessions on specialized topic areas reporting technical trends and breakthroughs in human-system interaction (including tutorials on *Interaction with AI*). Please submit proposals by 31.01.2024 (more: http://hsi2024.welcometohsi.org) . We extend our sincere invitation to all recipients to actively participate in the HSI 2024 conference. Join us by submitting your papers, special session proposals, tutorials, or workshops to contribute to the enriching discourse on Human System Interaction. *Dive into the future with our captivating tutorials on Interaction with AI, and let's shape the next frontier of technology together. We look forward to your valuable contributions!* CONFERENCE PUBLICATIONS *All papers presented during the conference will be submitted to IEEE Xplore, Web of Science and Scopus. Publications from previous editions are indexed, see: https://ieeexplore.ieee.org/xpl/conhome/1002118/all-proceedings * SCOPE OF THE CONFERENCE Interacting with AI Human Space Computing Personal Mobile Ad?hoc System Artificial Intelligence and Deep Learning Internet of Things and Smart Homes Network Control and Management Generative AI & Foundation Models Health Care and Assistive Devices Security, Privacy and Trust Human Machine Interaction Extreme Interfaces Human Dependable System Autonomous Cars and Vehicles Humanity in Wireless Mesh Network Multi?agent System and Applications Cyber Security in HSI IOT, Wearable Devices, Networks and Systems Education and Training Robots and HSI in Robotics Vehicular System and Assisted Driving Student Forum Sociological and Psychological aspects of HSI Multimedia Human Communication Industry Experience Reports Cyber Physical Systems Personal Communication System *See you in Paris two weeks before the Olympics!* More information: http://hsi2024.welcometohsi.org Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics https://doi.org/10.1155/2022/5667223 http://nguyensmai.free.fr | Youtube | Twitter | ResearchGate | Hal -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Zgonnikov at tudelft.nl Mon Jan 8 09:38:31 2024 From: A.Zgonnikov at tudelft.nl (Arkady Zgonnikov) Date: Mon, 8 Jan 2024 14:38:31 +0000 Subject: Connectionists: [job opening] Postdoc in Modeling Decision Making and Memory for Human-Robot Interaction @Delft University of Technology Message-ID: <8b203d65d47e488eb6e2938662205b1a@tudelft.nl> [apologies for cross-posting] Postdoc Modeling the Dynamics of Decision making and its Interplay with Memory Robots in interactions with humans need to predict their behavior and safely navigate around them. Such predictions can be especially hard when humans exhibit sudden shifts in behavior, often under stress and time pressure. For instance, a pedestrian can decide not to cross the road in front of an autonomous vehicle but then change their mind. Such sudden choice reversals could have particularly strong impact in high-stakes scenarios such as human-robot interactions in traffic. What are the cognitive mechanisms of humans? changes-of-mind in dynamic tasks under time pressure? How do our past experiences affect such decisions? How can we model the ?stress factor? mathematically? In this project, your aim will be to 1) develop a neurally plausible cognitive model to explain changes-of-mind in dynamic decision-making and its interplay with memory, and 2) collect a large-scale online dataset on dynamic decision-making to evaluate the model. This proof-of-concept study will break through the fundamental limitations of the current models and will establish the basis for real-life applications of neurally plausible decision-making models. In this project, you will be able to develop your skills in mathematical modeling and numerical simulation. You will work at TU Delft in the Faculty of Mechanical Engineering jointly at the Department of Cognitive Robotics and the Delft Center for Systems and Control, supervised by Dr. Matin Jafarian and Dr. Arkady Zgonnikov. Requirements * PhD in computational cognitive neuroscience or, alternatively, in applied mathematics or control engineering with motivated interest in human cognition * Strong teamwork skills and interest in highly interdisciplinary research * Affinity with teaching and supervising students * Solid programming skills * Proficiency in verbal and written English * Experience with one or more of the following topics is considered a plus * dynamical systems * stochastic differential equations * decision making * memory Conditions of employment * Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: ? 4.036 - ? 5.090 per month gross). The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. * This postdoc position has a fixed-term contract of 12 months. More details/apply via https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?jobId=15583 until January 15, 2024. Best regards, Arkady Zgonnikov Assistant Professor Human-Robot Interaction Group Department of Cognitive Robotics Delft University of Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From N.Cohen at leeds.ac.uk Mon Jan 8 19:31:20 2024 From: N.Cohen at leeds.ac.uk (Netta Cohen) Date: Tue, 9 Jan 2024 00:31:20 +0000 Subject: Connectionists: Openings in Leeds UK (PhD and research fellow) Message-ID: Dear Connectionists, We have a couple of exciting openings in the Cohen WormLab, at the School of Computing, University of Leeds! The projects address different aspects of the neural and/or neuromechanical control of behaviour in the microscopic nematode worm, C. elegans. * Research Fellow position Open to candidates with a PhD (candidates with no PhD but equivalent experience should contact me informally) Start date: February 2024 or as soon as possible thereafter. Please email me for information about the application process. General area and scope: This project explores individuality of neural circuits and neural activity in C. elegans brain, based on whole-brain-activity data and information about the C. elegans connectome (neural circuit wiring data). The project combines data driven approaches from AI on the one hand, and whole-brain computational modelling on the other. Required technical skills: Programming, AI, computational modelling. For informal enquiries, please email me with a copy of your CV including a summary of relevant experience and complete list of publications. * PhD opening Open to either UK or international candidates Start date: September/October 2024 Application deadline: Monday Feb 19, 2024 General area and scope: How do worms move in 3D? To address this question, we have built a 3D imaging system and have collected hours of footage. Prior work has focused on (1) developing machine vision methods to reconstruct postures and trajectories; (2) characterising postures and locomotion behaviours and (3) characterising and modelling locomotion strategies and foraging behaviours. This PhD can build on these foundations to perform exciting innovative experiments, and/or to build computational models of worm locomotion. For informal enquiries, please email me with a copy of your CV, transcript, and a brief research proposal. To apply, please see https://phd.leeds.ac.uk/funding/356-epsrc-doctoral-training-partnership-2024-25-computing Both projects are collaborative and offer an excellent opportunity to develop skills and do exciting research at the interface of AI and computational neuroscience or experimental behavioural neuroscience and AI. Netta Netta Cohen Professor of Complex Systems Director, Computing in Biology, Medicine and Health School of Computing University of Leeds Leeds, UK N.Cohen at leeds.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Mon Jan 8 12:44:59 2024 From: mtanveer at iiti.ac.in (M Tanveer) Date: Mon, 8 Jan 2024 23:14:59 +0530 Subject: Connectionists: IEEE CIS Workshop on Women in AI on January 22, 2024 Message-ID: Dear All, I am pleased to announce that we are organizing an *IEEE CIS Workshop on Women in AI* on January 22, 2024 at IIT Indore. The workshop will bring together researchers from academia and industry to share their latest research on AI. This workshop will also include three keynote speakers in the field of AI. The deadline of registration for the workshop is *January 13, 2024*. For more information, please visit the workshop website at http://events.iiti.ac.in/ieeecis-wai/. Sincerely, M. Tanveer ---------------------------------------------------------- Dr. M. Tanveer (Founding Chapter Chair, IEEE CIS Chapter - MP Section) SERB Ramanujan Fellow and INSA Associate Fellow IEEE CIS Distinguished Lecturer (2024-2026) Elected Board of Governors - APNNS (2023-2024) Associate Professor of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE Transactions on Neural Networks & Learning Systems (IF: 10.4). Action Editor: Neural Networks, Elsevier (IF: 7.8). Associate Editor: Pattern Recognition, Elsevier (IF: 8.0). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.7). Board of Editors: Engineering Applications of AI, Elsevier (IF: 8.0). Associate Editor: Neurocomputing, Elsevier (IF: 6.0). Associate Editor: Cognitive Computation, Springer (IF: 5.4). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 5.6). Lead Guest Editor: IEEE Transactions on Fuzzy Systems (IF: 11.9) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Mon Jan 8 13:03:58 2024 From: mtanveer at iiti.ac.in (M Tanveer) Date: Mon, 8 Jan 2024 23:33:58 +0530 Subject: Connectionists: WCCI 2024 SS - Randomization-Based Deep and Shallow Learning Algorithms and/or Biomedical Applications Message-ID: Dear Colleague, We are organizing a special session on "*Randomization-Based Deep and Shallow Learning Algorithms and/or Biomedical Applications*" at the WCCI 2024 in Yokohama. The aim of this special session is to present the recent advances in randomization- based learning methods. Randomization-based neural networks usually offer non-iterative closed-form solutions. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on randomization-based and/or non-iterative algorithms, it is also expected that this special session will cover some practical applications, present some new ideas and identify directions for future studies. Original contributions as well as comparative studies among randomization-based and non-randomized-based methods are welcome with unbiased literature review and comparative studies. Typical deep/shallow paradigms include (but not limited to) random vector functional link (RVFL), randomized recurrent networks (RRN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), stochastic configuration network (SCN), broad learning system (BLS), convolution neural networks (CNN) with randomization, and so on. Submission Deadline: *January 15, 2024* *Submission Site: * Please use the IEEE WCCI 2024 double-blind submission procedure when submitting your paper for our special session. Conference formatting templates and submission guidelines can be found at https://2024.ieeewcci.org/submission. Tick the radio button on the left to select our session title as a track - Special Session: Randomization-Based Deep and Shallow Learning Algorithms and/or Biomedical Applications - when submitting your IJCNN 2024 Special Session Papers at https://edas.info/N31614. *Special Session Organizers/Chairs:* P. N. Suganthan, Qatar University. M. Tanveer, Indian Institute of Technology Indore, India. ---------------------------------------------------------- Dr. M. Tanveer (Founding Chapter Chair, IEEE CIS Chapter - MP Section) SERB Ramanujan Fellow and INSA Associate Fellow IEEE CIS Distinguished Lecturer (2024-2026) Elected Board of Governors - APNNS (2023-2024) Associate Professor of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE Transactions on Neural Networks & Learning Systems (IF: 10.4). Action Editor: Neural Networks, Elsevier (IF: 7.8). Associate Editor: Pattern Recognition, Elsevier (IF: 8.0). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.7). Board of Editors: Engineering Applications of AI, Elsevier (IF: 8.0). Associate Editor: Neurocomputing, Elsevier (IF: 6.0). Associate Editor: Cognitive Computation, Springer (IF: 5.4). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 5.6). Lead Guest Editor: IEEE Transactions on Fuzzy Systems (IF: 11.9) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jesse.grootjen at um.ifi.lmu.de Tue Jan 9 03:36:51 2024 From: jesse.grootjen at um.ifi.lmu.de (Grootjen, Jesse) Date: Tue, 9 Jan 2024 08:36:51 +0000 Subject: Connectionists: 2nd CfP - HHAI 2024 - The third International Conference on Hybrid Human-Artificial Intelligence Message-ID: <3CD0B669-A6CA-49DF-8CFE-8A6A38708360@lmu.de> Call for Participation: HHAI2024 ? The third International Conference on Hybrid Human-Artificial Intelligence June 10-14, 2024, Malm?, Sweden Call for Papers & Call for Workshop and Tutorial Proposals In this message, we shortened each call to their essentials ? the full text of each call is available on the website: https://hhai-conference.org/2024/ Hybrid Human-Artificial Intelligence (HHAI) is an international conference series that focuses on the study of Artificial Intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that work together with humans, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems. HHAI systems leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations. The HHAI field is driven by developments in AI, but it also requires fundamentally new approaches and solutions. Thus, we encourage collaborations across research domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this third international conference, we invite scholars from these fields to submit their best original ? new as well as in progress ? works, and visionary ideas on Hybrid Human-Artificial Intelligence. Call for Papers (Main track) Important dates - Abstract submission: January 26, 2024 - Paper submission: February 2, 2024 - Acceptance notification: March 29, 2024 - Camera-ready version: April 12, 2024 Topics We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive: - Human-AI interaction and collaboration - Adaptive human-AI co-learning and co-creation - Learning, reasoning and planning with humans and machines in the loop - User modeling and personalisation - Integration of learning and reasoning - Transparent, explainable, and accountable AI - Fair, ethical, responsible, and trustworthy AI - Societal awareness of AI - Multimodal machine perception of real world settings - Social signal processing - Representations learning for Communicative or Collaborative AI - Symbolic and narrative-based representations for human-centric AI - Role of Design and Compositionality of AI systems in Interpretable / Collaborative AI We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models. Paper types In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers: - Full papers present original, impactful work (12 pages excl. references) - Blue sky papers present visionary ideas to stimulate the research community (8 pages excl. references) - Working papers present work in progress (8 pages excl.references) Accepted full papers and Blue sky papers will be published in the Proceedings of the Third International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Working papers can be included in these proceedings, unless the authors request the paper to remain unpublished. Work should be submitted in PDF format via Easychair: https://easychair.org/conferences/?conf=hhai2024 Call for Workshop and Tutorial Proposals We invite proposals for two-day, full-day and half-day workshops at HHAI 2024. We also invite tutorials to run alongside the workshops. The workshops and tutorials will form part of the first edition of the HHAI Summer School. The HHAI 2024 workshops and tutorials provide a platform for discussing a topic related to Hybrid Human-Artificial Intelligence with an audience specifically interested in that topic in an informal setting (compared to the main conference). We invite submissions for events that foster cross-disciplinary interaction, scientific discourse, and creative and critical reflection, rather than just being mini-conferences. We offer organizers flexibility on formats that best suit the goals of their event. We also welcome submissions from research communities that may not be prominently featured in AI events and conferences. Important Dates - Workshop and tutorial proposals: January 31, 2024 - Proposal acceptance notification: February 7, 2024 - Deadline for announcing the Call for Contributions to the workshops: February 14, 2024 - Recommended deadline for submissions to the workshops: April 10, 2024 - Recommended deadline for notifications on the submissions: May 2, 2024 - Workshops and tutorials at HHAI2024: June 10-11, 2024 Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2024 Location HHAI 2024 will be an in-person, single-track conference, held in Malm?, Sweden on June 10-14, 2024. More information on the venue as well as travel information can be found on the website: https://hhai-conference.org/2024/ Contact information Conference chairs: Frank Dignum (Ume? University, SE), Fabian Lorig (Malm? University, SE), Jason Tucker (Malm? University, SE), and Adam Dahlgren Lindstr?m (Ume? University, SE). Program chairs: Pradeep Murukannaiah (TU Delft, NL), Andreas Theodorou (Ume? University, SE), Pinar Yolum (Utrecht University, NL). Workshop chairs: Petter Ericson (Ume? University, SE), Nina Khairova (Ume? University, SE), Marina de Vos (University of Bath, UK) For questions, you can reach the program chairs at program at hhai-conference.org and the workshop chairs at workshop at hhai-conference.org Kind regards, Julian Rasch & Jesse Grootjen Publicity and Social Media Chairs HHAI 2024 https://www.hhai-conference.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From amartino at luiss.it Tue Jan 9 04:35:05 2024 From: amartino at luiss.it (Alessio Martino) Date: Tue, 9 Jan 2024 09:35:05 +0000 Subject: Connectionists: [Job Opening] Postdoc in Complex Network Analysis @ Luiss University Message-ID: <6C777C5D-828B-412F-9725-001F5FD58485@luiss.it> Dear colleagues, our research group at Luiss University is opening a 2-years funded PostDoc position in the scientific area of Mathematics and Computer Science on the following topic: "Algorithmic Approaches for Complex Network Analysis". Deadline: February 12, 2024 ? 2 p.m. ? Central European Time (CET) Useful links: - Call for applications (Italian): https://backoffice.impresaemanagement.luiss.it/wp-content/uploads/2024/01/Riemissione-Bando-ING-INF-05-Prof.ssa-Sinaimeri-signed.pdf - Call for applications (English): https://backoffice.impresaemanagement.luiss.it/wp-content/uploads/2024/01/Bando-Assegno-Prof.ssa-Sinaimeri-ENG.pdf - Application link: http://cloudserverjsa.luiss.it/LGCAssegni/index.zul?CDS=AS4229 For further information, please refer to our University recruitment page at https://impresaemanagement.luiss.it/page/recruiting (Post-doc section). If you have any questions regarding the position, just get in touch at amartino at luiss.it. Best regards, Alessio ________________________________________ Alessio Martino, PhD Assistant Professor of Computer Science LUISS Guido Carli University Department of Business and Management Viale Romania 32, 00197 Rome, Italy (Room 539) Phone: (+39) 06-85225957 E-mail: amartino at luiss.it La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. ? vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL: From pawlatwork at gmail.com Tue Jan 9 06:29:40 2024 From: pawlatwork at gmail.com (Pawl) Date: Tue, 9 Jan 2024 12:29:40 +0100 Subject: Connectionists: PyTorch/DeepLearning/C++/CUDA/MPI/HPC (Hardware-Aware Optimizations, ...etc) Message-ID: <80375c05-0de7-4ce7-b95b-abcf070cb6df@gmail.com> Dear all, I am looking for ways to /gain some experience/ and do some /good research work/. I already possess a masters degree, but have not planned my next career move well enough, as a result of which, I now have lots of downtime. Below you can find a summary of my profile. If you think my profile could suit your needs feel free to contact me: pawlatwork at gmail.com. I am open to all sorts of opportunities: short-term or long-term, internships, academic or industry, as both a researcher or a research engineer. My profile (full CV available upon request): * (already graduated) Math MSc, Math BSc, Physics BSc * (classical) machine learning + numerical analysis * 2 years student research experience working with Graph Neural Networks, Convolution Neural Networks and Fourier Neural Operators * Good knowledge of the following architectures: 1. Convolution Neural Networks 2. Graph Neural Networks 3. Recurrent Neural Networks 4. Transformers 5. Fourier Neural Operators * PyTorch, DDP, Deepspeed (multi-gpu, multi-node, TP, DP, PP) * SLURM/BASH/Linux HPC * C and MPI * C++ and CUDA (beginner, but focus for future improvement) I am particularly interested in hardware-aware architectures/optimizations, in particular with application to LLMs but not only. Best Regards, Paul From interdonatos at gmail.com Tue Jan 9 07:40:46 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 9 Jan 2024 13:40:46 +0100 Subject: Connectionists: CfP FRCCS 2024 - Fourth French Regional Conference on Complex Systems, 29-31 May 2024, Montpellier Message-ID: CFP FRCCS 2024 Montpellier, France May 29 ? 31, 2024 Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 ? 31, 2024 Montpellier, France *FRCCS 2024* After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Papers* about *original research* (up to 12 pages) ? *Extended Abstract* about published or unpublished research (3 to 4 pages). *Keynote Speakers* ? Ingmar Weber , Saarland University ? Sonia K?fi , Universit? de Montpellier ? Petter Holme , Aalto University ? Natasa Przulj , Barcelona Supercomputing Center ? Bolek Szymanski , Rensselaer Polytechnic Institute *Publication* - Contributions will be included in the conference proceedings (With ISBN) - *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to:* ? *Foundations of complex systems* o Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals ? *Complex Networks* o Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. ? *Neuroscience, Linguistics* o Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity ? *Economics & Finance* o Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment ? *Infrastructure, planning, and environment* o critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences ? *Biological and (bio)medical complexity* o biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging ? *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation ? *Socio-Ecological Systems* o Global environmental change, green growth, sustainability & resilience, and culture ? *Organisms and populations* o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution ? *Engineering systems and systems of systems* o bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology ? *Complexity in physics and chemistry* o quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Roberto Interdonato , CIRAD, UMR TETIS, Montpellier Bruno Pinaud , LABRI University of Bordeaux -------------- next part -------------- An HTML attachment was scrubbed... URL: From michiel.straat at uni-bielefeld.de Tue Jan 9 17:01:39 2024 From: michiel.straat at uni-bielefeld.de (Michiel Straat) Date: Tue, 9 Jan 2024 23:01:39 +0100 Subject: Connectionists: Special Session on Emergent Phenomena in Deep Representations and Large Language Models @IJCNN 2024 & IEEE WCCI 2024 In-Reply-To: References: Message-ID: <89dc8b8d-5a7c-4c06-8e88-bb451ab83fb3@uni-bielefeld.de> Dear colleagues, We invite you to submit your work to the special session on ?Emergent Phenomena in Deep Representations and Large Language Models? as a part of IJCNN 2024 and IEEE WCCI 2024, which will be located in Yokohama, Japan. We are looking forward to your contributions. Please find the CfP below. Best wishes, On behalf of Organising Committee Michiel Straat ------------------------------------------------------ Call for Papers: Special Session on Emergent Phenomena in Deep Representations and Large Language Models @IJCNN 2024 & IEEE WCCI 2024: Deep learning models trained on large datasets have shown spectacular performance in a wide range of tasks demonstrated by current applications of Large Language Models. However, recent works have shown that the abilities large machine learning models acquire often emerge unpredictably with increasing model complexity or training dataset size. These emergent phenomena include the unexpected appearance of abilities for which the model was not explicitly trained, but they might also be related to unexpected performance boosts due to the increased model complexity. Emergent phenomena are not always beneficial: larger models may pick up new biases from the training data or start hallucinating. To move towards increasingly sustainable, reliable, and explainable applications of AI systems, it is necessary to increase the understanding of the mechanisms surrounding emergent phenomena. Moreover, this effort provides increased insight into the learning process behind the acquisition of abilities of large models to perform specific tasks. Important research questions relate to the definition of emergent phenomena,? their causes (what controls which abilities are acquired and when?), training efficiency, and training data quality (e.g., acquiring desired abilities with less computational effort), prompting strategies to get or test for desired model behaviour (e.g., a chain of thought), and further verification methods of model abilities and properties. The primary goal of this special session is (i) to discuss the emergent abilities and risks in deep neural networks and representations from very different angles and (ii) facilitate networking and encourage collaboration between various research fields that approach this issue from different perspectives, like computational linguistics, ethics in AI, computer science, physics, etc. Topics of interest include, but are not limited to: ??? ???? The definition of emergence in the context of NLP and ML ??? ???? Prompting strategies ??? ???? Physics-based/inspired analyses (e.g. phase transitions in ML models) ??? ???? Explainability and interpretability (XAI) ??? ???? Evaluation measures for model ability, monitoring strategies, assessment of model abilities (e.g. technical or psychology-based) ??? ???? Knowledge distillation, model pruning, energy-efficient models. ??? ???? Mitigation strategies for emergent risks and model deterioration. ??? ???? Fine-tuning and Retrieval-augmented generation (RAG) ??? ???? Papers focusing on specific emergent phenomena (reasoning, creativity, double descent phenomena etc.) The website for the call for papers is accessible at https://sites.google.com/view/emergenn/call-for-papers Organising Committee: ------------------------------ ??? ???? Dr. ?zge Alacam (Ludwig-Maximilian University & Uni Bielefeld, Germany) ??? ???? Dr. Michiel Straat (Uni Bielefeld, Germany) ??? ???? Prof. Dr. Hinrich Sch?tze (Ludwig-Maximilian University, Germany) ??? ???? Prof. Dr. Alessandro Sperduti (University of Padova, Italy) Important Dates: ------------------------------ ??? ???? January 15, 2024???????? - Paper Submission Deadline ??? ???? March 15, 2024?????????? - Notification of Acceptance ??? ???? May 1, 2024???????????????? - Camera-ready Deadline & Early Registration Deadline ??? ???? June 30 - July 5, 2024 - Main Conference (IEEE WCCI 2024, Yokohama, Japan) * All deadlines are 11:59 PM UTC-12:00 ("anywhere on Earth") Submission Format and Platform: ------------------------------ ??? ???? Submissions will be through the IEEE WCCI 2024 Submission page. ??? ???? Each paper is limited to 8 pages, including figures, tables, and references. Please refer to the author guidelines provided by IEEE WCCI 2024 ??? ???? Please specify during the submission that your paper is intended for the Special Session: Emergent Phenomena in Deep Representations and Large Language Models. ??? ???? Special session webpage: https://sites.google.com/view/emergenn/call-for-papers ??? ???? IEEE WCCI 2024 webpage: https://2024.ieeewcci.org/ Contact information: ------------------------------ ??? ???? ?zge Alacam : oezge.alacam at uni-bielefeld.de ??? ???? Michiel Straat : mstraat at techfak.uni-bielefeld.de From jbjerva at cs.aau.dk Tue Jan 9 09:52:13 2024 From: jbjerva at cs.aau.dk (Johannes Bjerva) Date: Tue, 9 Jan 2024 14:52:13 +0000 Subject: Connectionists: PhD position on Explainable and Factual Language Modelling (Copenhagen, DK) Message-ID: <25ea2d5d353345a8ab01981279c7b1e9@cs.aau.dk> A fully funded PhD position is available at the Copenhagen campus of the Department of Computer Science, Aalborg University (AAU). The position is on the topic of Explainability and Factuality in Language Modelling [1]. The position is in a thriving NLP research community with interests in multilingual NLP, educational NLP, and NLP Security, currently consisting of three other PhD students and three postdocs. We are particularly interested in candidates with a strong technical background in terms of NLP, ML, or AI more broadly. There is a substantial amount of freedom in terms of research direction, and the conditions offered when doing a PhD in Denmark are hard to beat. Interested applicants are encouraged to reach out to me at jbjerva at cs.aau.dk. * Application deadline: 6 February 2024 * Interviews: 29 February 2024 * Starting date: Ideally between 1 May and 1 September 2024 * Salary is state-mandated and ranges from ca. 27k-34k DKK + pension and supplements per month. [2] The ratio of salary/cost-of-living is one of the best in the world. * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. We welcome applicants either with an MSc. or who will have finished their master's degree at latest by the summer (standard 3 year PhD position). We also have the opportunity to offer a position to a highly motivated candidate finishing their 1st year of their MSc. by this summer, under the Danish 4+4 PhD scheme. Applications must be submitted via this link [1]. [1] https://www.stillinger.aau.dk/phd-stillinger/vis-stilling/vacancyId/1217649 [2] https://dm.dk/din-loen/loenstatistik-og-loentabeller/forskning-og-undervisning/loen-ph-d-stipendiater (only available in Danish) Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Team Lead for CS CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers V?nge 15, 2450 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From redish at umn.edu Tue Jan 9 13:27:55 2024 From: redish at umn.edu (David Redish) Date: Tue, 9 Jan 2024 12:27:55 -0600 Subject: Connectionists: Computational Psychiatry 2024 Message-ID: Submissions are now open for the 2nd Computational Psychiatry Conference, to be hosted by University of Minnesota on July 16-18, 2024. We welcome you to come and share your work with this rapidly growing community of computational psychiatry. https://www.cpconf.org/ *Submission deadline: *February 7, 2024 (11:59 PM Eastern Standard Time) *Presentation acceptance:* March 18, 2024 *Individual submissions*: Max 2000 characters including spaces, text only. Individual submitters can choose whether they?d like to be considered for a talk or a travel award. *Symposium submissions:* The chair should submit an abstract for the symposium (max 2000 characters including spaces, text only) and indicates all speakers using the ?Author? field. If the chair is also a speaker, they should create a second submission for their talk. Each speaker submits their own talk abstract (max 2000 characters including spaces, text only) and indicates that they are part of a symposium submission. A symposium has 75 min allocated in total and should have one chair and 3-4 talks (15 min each). We strongly encourage symposium organizers to consider diversity in theme/topic (clinical and basic science, experimental species, methods), and presenters (gender, race/ethnicity, disability, socioeconomic disadvantage, geographical location, or other diversity factors). *Travel award applicants should additional provide a brief statement indicating why financial assistance is necessary for their participation. **Registration is not required to submit an abstract. We look forward to seeing you at #cpconf2024! Organizing committee: Rick Adams (UCL) Sonia Bishop (Trinity College Dublin) Claire Gillan (Trinity College Dublin) Xiaosi Gu (Icahn School of Medicine at Mount Sinai) Tobias Hauser (UCL/Tubingen) Quentin Huys (UCL) Robb Rutledge (Yale University) Local committee (University of Minnesota): Sophia Vinogradov David Redish Riana Hoagland adr -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Wed Jan 10 02:52:59 2024 From: jonizhong at msn.com (Joni Zhong) Date: Wed, 10 Jan 2024 07:52:59 +0000 Subject: Connectionists: [Meetings][CFP] WCCI 24 Special Session: Machine Learning in Rehabilitation Message-ID: WCCI 2024 Special Session: Machine Learning in Rehabilitation Venue: Yokohama, Japan Important Dates: 15 January 2024:Paper Submission Deadline 15 March 2024: Paper Acceptance Notification 1 May 2024: Final Paper Submission & Early Registration Deadline 30 June - 5 July 2024: IEEE WCCI 2024 [Apologies for cross-posting] Rehabilitation, denoting the restoration of physical and cognitive functions following injury or illness, stands to derive substantial benefit from the integration of machine learning (ML) and big data. Given its longitudinal nature and the involvement of a multidisciplinary team, ML advancements present significant potential for applications in rehabilitation. Specifically, with the evolution of deep learning and sensing technologies, ML can proficiently analyze and interpret body movements, speech patterns, and cognitive activities, thereby providing comprehensive assessments in rehabilitation settings. In the close interplay of physiological and psychological dimensions within rehabilitation, ML technologies also emerge as pivotal, such as robotic exoskeletons, interactive robots, and extended reality (xR) systems, capable of adapting in real-time based on a patient's progress, thereby providing a dynamic and responsive rehabilitation experience. Accurate measurement facilitated by ML not only informs healthcare specialists of physical progress but also instills motivation in patients to actively engage in their rehabilitation journey. This special session in WCCI 2024 welcomes discussions and explorations of the multifaceted applications and future developments of ML in rehabilitation and healthcare applications. Please submit your contribution via https://edas.info/newPaper.php?c=31628&track=121739 and choose the special session ?Machine Learning in Rehabilitation?. Main topics but not limited to: ML-Driven Personalized & Optimizing Rehabilitation Adaptive Technology Integration Human-robot Interaction Human-computer Interaction Data-driven Clinical Decision-Making Predictive Analytics for Progress Monitoring Patient Monitoring and Feedback Monitoring Health Indicators Virtual Assistants and Companion Robots Human Factors and Ergonomics Gamification for Engagement Intelligent Tutoring Systems Serious Game Organizers: Junpei Zhong, The Hong Kong Polytechnic University, Hong Kong Chu Kiong Loo, Universiti Malaya, Malaysia Sao Mai Nguyen, ENSTA Paris, France Sum Yuet Joyce Lau, The Hong Kong Polytechnic University, Hong Kong Corresponding Email: joni.zhong at polyu.edu.hk -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Tue Jan 9 11:27:46 2024 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Tue, 9 Jan 2024 17:27:46 +0100 Subject: Connectionists: CFP: WSOM+ 2024 - deadline extension Message-ID: -- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de /// Due to multiple request we extended the deadline for submissions to 31.01.2024. Looking forward to your submissions. /// Confirmed invited speakers: - John Aldo Lee - University catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Call for papers WSOM+ Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM IMPORTANT DATES: - Extended paper submission deadline: 31 January 2024 - Notification of acceptance: 15 March 2024 - The WSOM+ 2024 conference: 10-12 July 2024, Mittweida, Germany Submission details and other information at: wsom.si-cim.de Submission is done using conftool - see: https://www.conftool.org/wsom2024 All the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From emanuel.dinardo at collaboratore.uniparthenope.it Wed Jan 10 05:27:19 2024 From: emanuel.dinardo at collaboratore.uniparthenope.it (EMANUEL DI NARDO) Date: Wed, 10 Jan 2024 10:27:19 +0000 Subject: Connectionists: [CFP] Special Session: A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers for special session "A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision" Special session is included in IJCNN at the IEEE WCCI 2024 in Yokohama The conference will provide the possibility for remote presentations (live online talk with live online Q&A) for remote authors Scope and topics Computer vision has always been an extremely popular topic in the field of Artificial Intelligence. It is of fundamental importance in many high-impact application areas, such as in security with Visual Object Tracking, in the medical field through the possibility of making predictions of diseases and attempting to locate through object detection and segmentation possible diseased areas in images. It is perfectly applicable to any kind of visual input even from different domains such as using data from ECG or EEG that can easily be transformed from one-dimensional signals into two or tri-dimensional signals and represent them with high semantic meaning as images. Moreover, with the latest generative techniques, artificial data can be made with extraordinary fidelity. The techniques produced in this area are able to work on both static images and sequences of images, which can have both temporal and volumetric expansion. Because of all these applications, some of them extremely sensitive and high-impact for humans, it has become necessary in recent years to begin to understand why a neural model working on images chooses one response over another. This is possible through explainable Artificial Intelligence techniques. As time goes on, however, it becomes increasingly important not only to explain why an artificial neural network makes choices, but also and especially to provide architectures that can explicitly or implicitly provide a set of explanations/rules, why it was possible to interpret a certain output with given input and verify the mechanisms that are activated within it, even making them predictable. Finally, it is becoming more and more appropriate to put side by side with this type of analysis, how well a model is able to "defend" and "adapt" itself from elements in the external world. that attempt to confuse the model and try to steer it down the wrong path. Thus, the purpose of this special session is to revise computer vision models by changing the perspective of looking at these methodologies, making them no longer only data- and performance-driven, which is the point on which mostly new algorithms are created, but to be able to make them become human-centric, that is, through processes of explainability, interpretability, and resilience to go about unwinding the skein of uncertainty that hovers over deep learning and, especially, in the field of computer vision by allowing artificial intelligence to be reliable from a human perspective. The topics of interest for this special session include (but are not limited to): * Explainability and interpretability of deep neural networks * Resilient models in computer vision * Robustness and adaptation to adversarial inputs * Visualization techniques for explainability and interpretability * Meta-explanation, generative description of outputs * Specific explainability and effects of visual attributes in images * Datasets reliability * Multisource imaging interpretation Paper submission deadline is January 15, 2024 To submit a paper use edas platform (https://edas.info/newPaper.php?c=31628&track=121739) and specify, in the topics section, that your paper is for the "A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision?. Paper submission guidelines can be found on WCCI website (https://2024.ieeewcci.org/) All papers accepted and presented at WCCI2024 will be included in the conference proceedings published by IEEE Xplore. All details can be found at https://sites.google.com/view/heiro-ijcnn-call-for-paper/home Organizers Emanuel Di Nardo, PhD, University of Naples Parthenope, Italy Prof. Ihsan Ullah, Insight SFI Research Center for Data Analytics, University of Galway, Galway, Ireland Prof. Angelo Ciaramella, University of Naples Parthenope, Italy ------ Emanuel Di Nardo, PhD University of Naples Parthenope Naples, Italy emanuel.dinardo at uniparthenope.it https://research.emanueldinardo.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From terese at imse-cnm.csic.es Wed Jan 10 04:11:30 2024 From: terese at imse-cnm.csic.es (Teresa) Date: Wed, 10 Jan 2024 10:11:30 +0100 Subject: Connectionists: postdoctoral candidates for the IMSE Neuromorphic Group In-Reply-To: <2284465a-0970-4cf9-b443-ad2da3f53fe6@csic.es> References: <2284465a-0970-4cf9-b443-ad2da3f53fe6@csic.es> Message-ID: <5a422819-4f42-44d5-a21d-f6a8760fd530@imse-cnm.csic.es> We are seeking a highly skilled researcher with a PhD in electrical or electronics engineer/computer science engineer/physicist with experience in areas such as analog or digital circuit design, embedded systems, systems on chip, FPGA programming or artificial intelligence The candidate will join the staff of the Institute of Microelectronics of Seville (IMSE). IMSE is an academic research center belonging to the University of Seville and the Spanish Research Council (CSIC). IMSE is equipped with state of the art infrastructures hosting 1.000m^2 of laboratories for the design and test of electronic circuits and opto-electronic sensors (http://www.imse-cnm.csic.es/en/labs.php). A new clean room facility for advanced integrated circuits packaging and additive manufacturing is currently being set up. It is located in a technological park at 15 minutes walking from Sevilla city center. In particular, we are seeking for candidates wishing to join to the Neuromorphic Systems Group (http://www2.imse-cnm.csic.es/neuromorphs/ ). The group is pioneering having more than 30 year experience in the field of the neuromorphic hardware systems and applications. In particular the group has developed spatial contrast retinas, dynamic vision sensors, convolutional neural processors, spiking convolutional neural networks, spiking learning circuits and algorithms, and spiking neural processors combining conventional CMOS circuits with nanodevices. *Requirements:* * PhD degree in Electrical Engineering, Electronics, or a related field. * Ability to work on interdisciplinary projects. *Postdoctoral Researcher Opportunity:*We are interested in being a host institution for postdoctoral researchers with an outstanding record who wish to consolidate their scientific carreer. . *Full grant information and conditions are available here:*The candidate will apply to the Juan de la Cierva, Ramon y Cajal and Emergia programs. Closing date: January 30^th 2024. Permanent scientist positions could be provided after this period. *How to Apply:*Please submit your resume and a cover letter highlighting your relevant experience to teresa.serrano at csic.es or bernabe at imse-cnm.csic.es -- ? *Teresa Serrano Gotarredona* Profesora de Investigaci?n / Full Research Professor Descripci?n: Imagen Logo IMSE-CNM C/ Am?rico Vespucio, 28 Parque Cient?fico y Tecnol?gico Cartuja 41092 Sevilla. SPAIN Ph.: +34 954 466 666 ? Fax: +34 954 466 600 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Oferta_Emergia_JdC_Ramon y Cajal_grupo.pdf Type: application/pdf Size: 253083 bytes Desc: not available URL: From newsletters at tommasoturchi.fyi Wed Jan 10 08:02:28 2024 From: newsletters at tommasoturchi.fyi (Tommaso Turchi) Date: Wed, 10 Jan 2024 14:02:28 +0100 Subject: Connectionists: [CfP] Adaptive eXplainable AI Workshop @ IUI 2024 Message-ID: <4c46be45-b4d7-4ad2-af71-b47bd5761cff@app.fastmail.com> *** Reminder: Submission Deadline Approaching *** ------------------------------------------------------ CALL FOR PAPERS: Adaptive eXplainable AI Workshop 2024 ------------------------------------------------------ Dear Colleagues, As we continue into the new year, this is a friendly reminder that the submission deadline for the Adaptive XAI (AXAI) Workshop, in conjunction with ACM IUI 2024, is fast approaching. We encourage you to submit your work and be part of this dynamic event dedicated to advancing the field of explainable AI. == Important Dates == * Submission Deadline: January 16, 2024 (Only 6 days left!) * Notification: February 9, 2024 * Camera Ready: February 23, 2024 * Workshop Date: March 18, 2024 == Submission Guidelines == * Length: 5-10 pages * Format: CEUR-ART 1-column Template * Selected papers may be invited to submit an extended version to a dedicated Special Issue of Springer's "Personal and Ubiquitous Computing" * Submission Website: https://cmt3.research.microsoft.com/AXAI2024 == Topics Include == We welcome your insights and research on a range of topics, including but not limited to: 1. Transparent AI Decision-Making 2. Human-Centric AI Design 3. Adaptive Explanation Interfaces 4. Cognitive Needs and Situational Awareness 5. Seamless AI-HCI Integration 6. Diversity and Inclusivity in AI Explanations 7. Ethical Considerations in AI Explanations 8. Case Studies and Real-World Applications 9. Future Directions in Adaptive XAI 10. Cross-Disciplinary Perspectives == Organizers == * Tommaso Turchi, University of Pisa * Alessio Malizia, University of Pisa * Fabio Patern?, CNR-ISTI, Pisa * Simone Borsci, University of Twente * Alan Chamberlain, University of Nottingham Don't miss this opportunity to contribute to the evolving landscape of Adaptive eXplainable AI. For any queries or additional information, please visit our website at https://axai.trx.li or contact Tommaso Turchi (tommaso.turchi at unipi.it). We look forward to your valuable contributions and to seeing you in Greenville, South Carolina! Best regards, //==============================\\ Tommaso Turchi Department of Computer Science University of Pisa \\==============================// From stdm at zhaw.ch Wed Jan 10 03:58:56 2024 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Wed, 10 Jan 2024 08:58:56 +0000 Subject: Connectionists: SDS2024: Extended Deadline (Data Science) - Jan 19, 2024 In-Reply-To: References: Message-ID: Dear colleagues, On behalf of the SDS Organizing Committee: The 11th IEEE Swiss Conference on Data Science (https://sds2024.ch/) grants a paper submission deadline: Extended Submission Deadline: January 19th, 2024 Call for Presentations ? Business Track Your submission can cover a wide range of topics, including AI and Cyber Security, AI in Science and Engineering, AI for Society, Business Model Value Creation and Governance and Generative AI. See: https://sds2024.ch/call-for-presentations/ Call for Papers - Scientific Track We invite international submissions of original research papers related to all areas of Data Science, especially best practice and use-case oriented research. SDS2024 is co-organized in collaboration with the IEEE, and accepted scientific papers will be submitted for inclusion into IEEE Xplore. See: https://sds2024.ch/call-for-papers/ AI for Social Impact Award Does your work in Artificial Intelligence have a positive social impact? Then this is for you! We are very excited to announce the new AI for Social Impact Award that will be presented at the SDS2024! Among all submissions, the award will be given to either the Business Talk or the Research Paper with the most promising positive social impact.? This year the AI for Social Impact Award is sponsored by Die Mobiliar (https://www.mobiliar.ch/) and represented by Matthias Br?ndle. We look forward to receiving your submissions and eagerly anticipate your presence at the 11th IEEE Swiss Conference on Data Science, scheduled for May 30-31, 2024, at The Circle, Zurich Airport. For any inquiries or additional details, feel free to contact us at mailto:conference at data-innovation.org Let's make SDS2024 an unforgettable event together! Best regards, The SDS2024 Organizing Committee From maria.m.hedblom at gmail.com Wed Jan 10 05:16:47 2024 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Wed, 10 Jan 2024 11:16:47 +0100 Subject: Connectionists: =?utf-8?q?2nd_cfp=3A_SCAI=E2=80=9924_-_The_14th_S?= =?utf-8?q?candinavian_Conference_on_AI=2E_10-11th_June=2C_2024=2E_?= =?utf-8?b?SsO2bmvDtnBpbmcsIFN3ZWRlbg==?= Message-ID: *(apologies for possible cross-posting)*2nd Call for papers *SCAI?24* - The 14th Scandinavian Conference on AI 10-11th June, J?nk?ping, Sweden Event website: SCAI Symposium 2024 -- Submission deadline: March 22 -- Theme: AI for a better society In the last years, research on Artificial Intelligence has made both academia and industry to take a more active role in engaging with the general public. The immense success of recent results appears almost endless, but they are not without faults or concerns. Addressing the role these technologies can have in human society is therefore important. The 14th Scandinavian Conference on AI (SCAI?24) invites researchers and industry practitioners working on all facets of AI to submit their research. Organised as a joint venture by the Swedish AI Society (SAIS) and Norwegian AI Society (NAIS), the event invites researchers from all over the world to participate in ongoing discussions. Venue The event will take place June 10-11, 2024, in the picturesque, yet modern Swedish city of J?nk?ping. It is a middle-sized city beautifully tucked in between deep Swedish forests, mirror-clear lakes and flowing hills. Join us over a ?*kanelbulle* ?(cinnamon roll) to discuss the latest in AI research and network in the social program while overlooking the sun set over the crystal-clear water of V?ttern (Sweden?s second-largest lake). Making the best of the beautiful scenery, the conference dinner will take place at the medieval-style inn "Gyllene Uttern" (The Golden Otter) that offers a unique perspective of the sun setting over V?ttern. Confirmed Keynote Speakers In addition to the scientific and social program, SCAI has already three confirmed keynote speakers all capturing different aspects of the conference theme: AI for a better society. We are proud to have Virginia Dignum, Professor of Computer Science at Ume? University, Timo Minssen, Director at JUR Centre for Advanced Studies in Biomedical Innovation Law, and Patrik J?genstedt, Director Advanced Development, Robotics & AI Lab at Husqvarna, joining SCAI as invited speakers! A later announcement will provide more details on their talks. Topics of Interest and Paper Formats Contributions are welcome from all areas of Artificial Intelligence, and topics of interest include (but are not limited to): - AI applications - AI ethics and regulations - Knowledge representation - Hybrid and neurosymbolic AI - Machine learning methods and applications - Case studies of AI in the public sector and industry - Complex systems and swarm intelligence - Cognitive robotics and intelligent agents - Human-computer interaction with an AI-focus - Planning and Scheduling - Natural Language Processing - Computer Vision - Search Algorithms - Multi-Agent-Systems - Conformal Prediction and Uncertainty Quantification For the scientific program of the conference, we invite four types (with corresponding submissions) of contributions to SCAI 2024, from all areas of AI research: - 6-10 pages full paper describing original contributions (not under review at another venue). General descriptions of current and ongoing projects are also acceptable. This category will be published in SCAI 2024 proceedings unless the authors opt-out. Please note that full papers in the proceedings are approved as a scientific publication channel at level 1 in Norway. - 2 pages extended abstracts of previously published papers in e.g., AI journals and AI conferences, within the last 12 months. The two pages should include everything, e.g., references, figures, etc. These will not be included in the proceedings, only presented at the conference. - 2 pages extended abstract describing AI industrial application, demonstrating use cases that leverage machine learning and AI techniques in a real-world setting. The two pages should include everything, including references, figures, etc. The first author should be from industry. These will not be included in the proceedings, only presented at the conference. - 2 pages extended abstract describing ongoing Ph.D. projects (the first author must be a Ph.D. student). Problem statements and research question/s must be clearly introduced and motivated. The two pages should include everything, e.g., references, figures, etc. These will not be included in the proceedings, only presented at the conference. All submissions will be peer-reviewed by the conference program committee and accepted contributions will be presented as oral presentations, practical demonstrations or poster sessions. Accepted full papers will be published in the electronic workshop proceedings (Link?ping University Electronic Press). All submissions must be written in English using the IEEE Latex template available Note that at least one author need to register and participate on-site during the conference. *The submission instructions will follow on the event website: *SCAI Symposium 2024 Important Dates - Submission deadline: March 22 - Notification of acceptance: April 28 - Camera ready submission: May 12 - Conference: June 10-11 Organizing Committee - *Einav Perez-Andersson*, J?nk?ping University, School of Engineering (General Chair) einav.perez.andersson at ju.se - *Florian Westphal*, J?nk?ping University, School of Engineering, florian.westphal at ju.se - *Jerome Landre*, J?nk?ping University, School of Engineering, jerome.landre @ju.se - *Maria Riveiro*, J?nk?ping University, School of Engineering, maria.riveiro at ju.se - *Tuwe L?fstr?m*, J?nk?ping University, School of Engineering, Tuwe.Lofstrom at ju.se - *Maria M. Hedblom,* J?nk?ping University, School of Engineering, maria.hedblom at ju.se - *He Tan,* J?nk?ping University, School of Engineering, he.tan at ju.se - *Kerstin Bach*, Norwegian University of Science and Technology kerstin.bach at ntnu.no Steering Chair - Fredrik Heintz, Link?ping University, fredrik.heintz at liu.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From emanuele.maiorana at uniroma3.it Wed Jan 10 09:31:21 2024 From: emanuele.maiorana at uniroma3.it (Emanuele Maiorana) Date: Wed, 10 Jan 2024 14:31:21 +0000 Subject: Connectionists: [CFP] WIFS 2024 Calls for Special Sessions, Demos, Challenges, Tutorials, Papers Message-ID: [APOLOGIES IF YOU RECEIVE MULTIPLE COPIES OF THIS CFP] 16th IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS) 2024 ROME, ITALY, DECEMBER 2-5, 2024 https://wifs2024.uniroma3.it AIMS AND SCOPE The IEEE International Workshop on Information Forensics and Security (WIFS) 2024 will be the 16th edition of the major annual event organized by the IEEE Information Forensics and Security Technical Committee (IFS-TC) of the IEEE Signal Processing Society (SPS). The major goal of WIFS is to bring together researchers working in the different areas of information forensics and security to discuss challenges, exchange ideas, and share state-of-the-art results and technical expertise, with the aim of building a community capable of providing adequate tools and solutions to face the challenges of tomorrow. WIFS 2024 will be held in Rome, Italy, from December 2 to December 5, hosted by Roma Tre University, and it will see the participation of researchers from all over the world, who will allow to have a high-level technical program, also thanks to the expertise of the program committee involved, and who will have the opportunity to exploit an interesting social program taking advantage of the charm of the Eternal City. CALL FOR TUTORIALS The organizing committee invites proposals for Tutorials on relevant and emerging topics in the areas of Information Forensics and Security. Tutorials will be given during the first day of the conference, on Monday December 2, 2024. CALL FOR SPECIAL SESSIONS The organizing committee invites proposals for innovative and high-quality special sessions on emerging topics, which complement the regular program of the conference. Special sessions should both provide an overview of the state of the art in the proposed field, and highlight the most promising research directions, trends and issues. Special session proposals will be evaluated based on the proposed topic, the expected impact, the expected quality of the contributed papers, and the session organizers and contributing authors. Special session paper submissions will be reviewed via the same process used for the regular program, and papers are expected to meet the same quality standards. Accepted and presented papers will be submitted for inclusion into IEEE Xplore. CALL FOR DEMOS The organizing committee invites proposals for demonstrations of applications in information forensics and security topics. Demos are intended as real, practical, and interactive proof of the presenters' research ideas and scientific or engineering contributions, with the goal of providing researchers and practitioners with the opportunity to discuss working systems, applications, prototypes, or proof-of-concepts. Accepted and presented demos will be described in short papers that will be submitted for inclusion into IEEE Xplore. CALL FOR CHALLENGES The organizing committee invites proposals for challenges addressing problems that will engage and excite the information forensics and security research community. Organizers should design challenges to make the results replicable by others, thus requiring a formal benchmark (which may include a test set). Organizers will have to evaluate the submitted results/models, and will be asked to summarize the outcomes in a paper to be presented at the workshop and submitted for inclusion into IEEE Xplore. CALL FOR PAPERS Prospective authors are invited to submit research papers be up to 6 double-column pages, including references and figures, presenting original works and addressing Information Forensics and Security aspects in a broad sense. The review process will be single-blind (author's names can be reported in the submitted papers). Accepted and presented papers will be submitted for inclusion into IEEE Xplore. It is planned to organize a special issue with invitations for a selection of the best presented papers. Topics of interest include, but are not limited to, the use or advances of the following areas: * Anonymization and Data Privacy * Applied Cryptography * Biometrics * Communication and Physical-Layer Security * Cybersecurity * Forensic Analysis * Hardware Security * Multimedia Content Hash * Network Security * Surveillance * Usability and Human Factors * Watermarking and Data Hiding * Adversarial Machine Learning * Steganography and Covert Communications * Information Theoretic Security * Security of Large Networked Systems IMPORTANT DATES * Special Session proposal: March 18, 2024 * Special Session notification: March 29, 2024 * Challenge proposal: April 15, 2024 * Challenge notification: April 19, 2024 * Tutorial proposal: June 2, 2024 * Tutorial notification: June 7, 2024 * Paper submission: June 30, 2024 * Reviews notification: September 2, 2024 * Rebuttal/Challenge paper deadline: September 6, 2024 * Acceptance notification: September 13, 2024 * Camera-ready submission: September 27, 2024 * Early registration: October 4, 2024 * Workshop: December 2 - 5, 2024 CONTACTS For further information, please visit https://wifs2024.uniroma3.it or send an email to wifs2024.contacts at uniroma3.it. __________________________________________________________________ Emanuele Maiorana Ph.D. Roma Tre University, Via Vito Volterra 62, 00146 Roma, Italy Ph. +39 0657337365 Lab URL http://biomedia4n6.uniroma3.it Personal http://biomedia4n6.uniroma3.it/maiorana.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.m.hedblom at gmail.com Thu Jan 11 07:17:41 2024 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Thu, 11 Jan 2024 13:17:41 +0100 Subject: Connectionists: =?utf-8?q?2nd_CFP=3A_The_15th_Int=2E_Conf=2E_on_C?= =?utf-8?q?omputational_Creativity_=28ICCC=2724=29=2C_June_17-21=2C?= =?utf-8?b?IDIwMjQsIErDtm5rw7ZwaW5nLCBTd2VkZW4=?= Message-ID: *(apologies for potential cross-posting)* Welcome to the 15th International Conference on Computational Creativity, ICCC?24! June 17-21, 2024 J?nk?ping, Sweden https://computationalcreativity.net/iccc24/ -- 2nd call for papers -- *Submission deadline: *Abstracts: Feb 21st, 2024; Full papers: Feb 28th, 2024 The International Conference on Computational Creativity (ICCC) is the premier forum for disseminating research on computational and AI creativity, bringing together researchers interested in exploring the ever-increasing capacities of technology in creative domains such as writing, visual arts and music. State-of-the-art AI algorithms can now create works that to a casual observer are comparable to those of human professionals, but many have questioned whether this is sufficient (or even necessary) for a computer to be considered to be ?acting creatively?. This conference and its associated workshops exist to discuss the how and what of computational participation in creativity. Come join us in the beautiful Swedish town of J?nk?ping ([?j??n?????p??]) at Midsummer and discuss questions like: by which metrics should we judge the creativity of AI output? Can an AI tool augment the creativity of its human users? What are the ethical implications of algorithms taking on creative roles? And, of course: can an AI be creative at all? These questions and more are at the heart of the sub-field of AI known as Computational Creativity (CC), defined as ?the art, science, philosophy, and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviors that unbiased observers would deem to be creative?. Computational Creativity The last few years have seen incredible progress in the generative capacities of AI and machine learning. In many creative domains such as writing, art and music generation, state-of-the-art AI algorithms can now create works that to a casual observer are comparable to those of human professionals. This new paradigm has brought attention to AI-generated content from academia, industry and the general public, resulting in an explosion of system development, application of such systems and societal awareness. Hand-in-hand with the development, the importance of dealing with the ethical considerations and the authenticity of AI-generated content is at an all-time high. Computational creativity, as a field, has been investigating these questions for decades. The Association for Computational Creativity (ACC) has since 2010 organised the yearly International Conference on Computational Creativity (ICCC), the only scientific conference which entirely focuses on AI creativity specifically. The conference series, and the associated workshops, act as a platform for researchers of any discipline to meet and discuss the how and what of creativity in any computational setting. Whatever domain you?re working in, if your work concerns generative AI or any other computational model that you?re trying to make exhibit creative behaviors, we?d love for you to come and share it with us! ICCC?24 is an interdisciplinary venue open to all researchers, practitioners and artists to submit work related to AI and Creativity. The ICCC community includes researchers with interests as broad as games, literature, visual communication, software development, the sciences, design, and engineering, alongside of course AI and ML. Hence, whatever your field, whatever your background, join us! Venue This year?s conference will take you to the beautiful Swedish town J?nk?ping ( [?j??n?????p??]), perfectly tucked in between mirror-clear lakes, fairytale forest and mountainous hills. Further, taking place between the 17th and 21st of June, 2024, the conference will culminate in one of Sweden?s most celebrated holidays: Midsummer! Thus, we invite you to join us in discussing the creative character of computational and AI systems while engaging in the Swedish national pass time of ?Fika? - having too much coffee and cake, greeting Mother Nature in the beauty of the Swedish forest and joining us in celebrating Midsummer: the most magical time of the year! Activities at ICCC As per tradition, in addition to the main conference and the social program, the scientific program is accompanied by workshops and tutorials related to computational creativity. This helps create the dynamic and interdisciplinary venue that ICCC is! More info about this year's workshops and tutorials will soon be made public on the conference website. The ACC is also a forward-thinking community that emphasises the contribution of younger researchers. This means that there is a special Early Career Symposium (ECS) directed at junior researchers (typically PhD and Master students). See the website for more information on how to apply. Call for Full Papers Computational Creativity (CC) is a discipline with roots in scientific disciplines such as Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that each explores the potential for computers to be creative ? either in partnership with humans or as autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on systems that act as creative partners for human creators, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. Note that a separate call for short papers will soon be sent out with its own submission deadline. Important Dates - Abstracts due: February 21, 2024 *(The abstract can be updated at the full paper submission deadline.)* - Submissions due: February 28, 2024 - Acceptance notification: April 21, 2024 - Camera-ready copies due: May 12, 2024 - Conference: June 17-21, 2024 All deadlines given are 23:59 anywhere on Earth time. Topics of interest include: Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: - *Domain-Specific Applications of Computational Creativity:* applications of creativity in areas such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, or programming. - *Generative AI Models of Creativity:* extensions or modifications of generative AI algorithms that provide new capabilities, new metrics, or improved utility in creative contexts. - *Human-Machine Co-Creativity:* Systems, studies, frameworks, or methodologies related to co-creativity between humans and AI, with emphasis on systems in which the machine acts as a creative partner. - *Computational Creativity Evaluation:* Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, or for the evaluation of how such systems are perceived in society. - *Social Models:* Computational models of social aspects of creativity, including: social creativity, the diffusion of ideas, collaboration, team dynamics, and creativity in social settings. - *Computational Paradigms:* computational approaches for modelling cognitive aspects of creativity, such as heuristic search, analogical and meta-level reasoning, cognitive architectures, and re-representation. - *Interdisciplinary Perspectives:* Perspectives on computational creativity which draw from philosophical and/or sociological studies in the context of creative AI systems. - *Data and Creativity:* Data science approaches to computational creativity: Resource development and data gathering/knowledge curation for creative AI. There is a need for datasets and resources that are scalable, extensible and freely available/open-source. - *Societal Impact:* Ethical considerations in the design, deployment or testing of creative AI systems, as well as studies that explore the societal impact of computational creativity and generative AI. - *Psychological Factors:* Computational models of psychological factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, and reward structures. Additionally, social or experiential factors related to novelty and originality, such as innovation, improvisation, and virtuosity. - *Provocations:* Raising new issues not on this list that bring the foundations of the discipline into question or throw new light on seemingly settled debates. Paper Types We welcome the submission of five different types of long papers, each with the intent to approach an equal distribution of accepted papers. During your submission, please indicate the category by which your paper best fits into: - *Technical papers:* These are papers posing and addressing hypotheses about aspects of creative behaviour in computational systems. The emphasis here is on using solid experimentation, computational models, formal proof, and/or argumentation that clearly demonstrates advancement in the state-of-the-art or current thinking in CC research. Strong evaluation of approaches through comparative, statistical, social, or other means is essential. - *System or Resource description papers:* These are papers describing the building and deployment of a creative system or resource to produce artefacts of potential cultural value in one or more domains. The emphasis here is on presenting engineering achievement, technical difficulties encountered and overcome, techniques employed, reusable resources built, and general findings about how to get computational systems to produce valuable results. Presentation of results from the system or resource is expected. While full evaluation of the approaches employed is not essential if the technical achievement is very high, some evaluation is expected to show the contribution to CC of this work. - *Study papers:* These are papers which draw on allied fields such as psychology, philosophy, cognitive science, mathematics, humanities, the arts, and so on; or which appeal to broader areas of AI and Computer Science in general; or which appeal to studies of the field of CC as a whole. The emphasis here is on presenting enlightening novel perspectives related to the building, assessment, or deployment of systems ranging from autonomously creative systems to creativity support tools. Such perspectives can be presented through a variety of approaches including ethnographic studies, thought experiments, comparisons with studies of human creativity, and surveys. The contribution of the paper to CC should be made clear in every case. - *Cultural application papers:* These are papers presenting the use of creative software in a cultural setting, for example via art exhibitions/books, concerts/recordings/scores, poetry or story readings/anthologies, cookery nights/books, results for scientific journals or scientific practice, released games/game jam entries, and so on. The emphasis here is on a clear description of the role of the system in the given context, the results of the system in the setting, technical details of inclusion of the system, and evaluative feedback from the experience garnered from public audiences, critics, experts, stakeholders, and other interested parties. - *Position papers: *These are papers presenting an opinion on some aspect of the culture of CC research, including discussions of future directions, speculative explorations of the impact of state-of-the-art approaches, past triumphs or mistakes, and current issues. The emphasis here is on carefully arguing a position; highlighting or exposing previously hidden or misunderstood issues or ideas; and providing thought leadership for the field, either in a general fashion or in a specific setting. While opinions need not be substantiated through formalization or experimentation, any justification of a point of view will need to draw on a thorough knowledge of the field of CC and of overlapping areas, and provide relevant motivations and arguments. ICCC is a conference that emphasises the empirical and theoretical evaluation of technical systems, results and outcomes, in an ethical and scientific fashion. Evaluation is expected in Technical papers (strong evaluation) and in System or Resource description papers. Although evaluation is not required in other types of papers, the contribution of the paper to CC should be made clear. All submissions will be reviewed in terms of quality, impact, and relevance to the area of Computational Creativity. Presentation In order to ensure the highest level of quality, all submissions will be evaluated in terms of their scientific, technical, artistic, and/or cultural contribution, and therefore there will be only one format for submission. The program committee will decide the best format for presenting accepted manuscripts at the conference. To be included in the proceedings, each paper must be presented at the conference by one of the authors. This implies that at least one author will have to register and will have to participate on-site. *** All authors of accepted papers can opt to also show a demo of their system or prototype during the conference. You will be asked if you are interested in this option during the submission process *** Submission instructions This year the submission process has two stages: initial submission of a title and abstract, and subsequent submission of the full paper a week later. The recommended length for the abstract is 100-200 words. The full paper page limit is 8 pages + up to 2 pages of references. Papers will be reviewed in a double-blind fashion, which necessitates that authors take appropriate steps to remain anonymous. You are responsible for making your papers anonymous to allow for double-blind review. Remove all references to your home institution(s), refer to your past work in the third person, etc. To be considered, papers must be submitted as a PDF document formatted according to ICCC style (which is similar to AAAI and IJCAI formats). The conference website will be updated to include the correct templates. All contributions must be submitted through the EasyChair platform: https://easychair.org/conferences/?conf=iccc24 Double submissions policy: The work submitted to ICCC should not be under review in another scientific conference or journal at the time of submission. Organizing Committee - Kazjon Grace, University of Sydney, Australia, kazjon.grace at sydney.edu.au - Maria M. Hedblom, J?nk?ping School of Engineering, Sweden, maria.hedblom at ju.se - Teresa Llano, Monash University, Australia, teresa.llano at monash.edu - Pedro Martins, University of Coimbra, Portugal, pjmm at dei.uc.pt - Guendalina Righetti, University of Oslo, Norway, guendalina.righetti at ifikk.uio.no - Garrit Schaap, J?nk?ping School of Engineering, Sweden, garrit.schaap at ju.se - J?ssica Parente, University of Coimbra, Portugal, jparente at dei.uc.pt - Joana Rovira Martins, University of Coimbra, Portugal, jmmartins at dei.uc.pt - Jos? Pedro Lopes, University of Coimbra, Portugal, joselopes at dei.uc.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: From amatra at essex.ac.uk Thu Jan 11 08:12:54 2024 From: amatra at essex.ac.uk (Matran-Fernandez, Ana) Date: Thu, 11 Jan 2024 13:12:54 +0000 Subject: Connectionists: Essex BCI-NE Seminar Series: Theresa Vaughan - 17th January Message-ID: Dear colleagues, As the organiser of the Essex Brain-Computer Interfaces and Neural Engineering (BCI-NE) seminar series, I am emailing to advertise our next online seminar: Theresa Vaughan. Title: Brain-Computer Interfaces in Practice Abstract: There is growing evidence that brain-computer interface (BCI) technology based on electrical signals recorded from the scalp (electroencephalogram (EEG)), the surface of the cortex (electrocorticogram (ECoG)) or from within the cortex (single units) can be safe, reliable, and useful for communication and control. At the same time, clinicians are not much closer to an answer to the questions: "for whom," "when," and "how" BCIs might be deployed. These questions are complicated by the aims and claims of an increasing number of companies that seek to bring this technology to market. Almost no guidance exists for those who prescribe medical devices; or for the consumer, who seeks proper and effective treatment. This lecture will present evidence that telehealth can provide tools for BCI dissemination and user training. Biography: Theresa Vaughan, B.A., is a research scientist and manager at the National Center for Adaptive Neurotechnologies (NCAN) located at the Stratton VA Medical Center in Albany, New York. For thirty years, her research has been focused on use of electroencephalographic or EEG-based brain-computer interface (BCI) for communication and control, with a focus on applications for people with amyotrophic lateral sclerosis. She serves on the board of the International BCI Society and is the chair of the Advisory Council for the NeuroAbilities Project at the G3ict. The seminar will be delivered over Zoom on 17th January, 2pm UK time. In order to receive a link to join, please RSVP at the following form: https://forms.gle/ygEJi1hehKAFxfhv8 A link to join the seminar will be sent to all who sign up shortly before the seminar. The talk will be recorded and made available in the lab's Youtube channel shortly after. Best wishes, Ana ------------------------ Dr Ana Matran-Fernandez PhD Lecturer in Neural Engineering and Artificial Intelligence Department of Computer Science and Electronic Engineering (CSEE) University of Essex E amatra at essex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Vaughan-banner.png Type: image/png Size: 751553 bytes Desc: Vaughan-banner.png URL: From alinepaes at ic.uff.br Wed Jan 10 12:53:02 2024 From: alinepaes at ic.uff.br (Aline Paes) Date: Wed, 10 Jan 2024 14:53:02 -0300 Subject: Connectionists: 1st Workshop on NLP for Indigenous Languages of Lusophone Countries (ILLC-NLP 2024) -- Final CFP Message-ID: Apologies for cross-posting. --------------------------------------------------------------------------- *1st Workshop on NLP for Indigenous Languages of Lusophone Countries (ILLC-NLP 2024) -- 2nd CFP* *January 17, 2024: Papers submission due (extended)* February 01, 2024: Notification of Acceptance March 12, 2024: Workshop Workshop website: https://sites.google.com/view/illc-nlp-2024/home Co-located with PROPOR 2024 in Santiago de Compostela ?????????????????????????????????? *Overview and goals:* The workshop aims to explore, discuss, and enhance the development of resources, methods, and applications of NLP for indigenous languages, especially those spoken or that have influenced languages spoken in countries where Portuguese is currently the official language. We hope to contribute to the preservation and promotion of these languages. This is one of several initiatives to expand knowledge and research in NLP for underrepresented languages. We encourage the participation of everyone who shares an interest in preserving and enriching the linguistic and cultural heritage of indigenous languages in a broad sense. This way, we welcome the submission of works including languages from all Portuguese-speaking nations, like those of African origin in Angola, Mozambique, and the Atlantic islands, as well as minority languages in Portugal. *Submissions*: IILC-NLP seeks submissions under the following categories: - Full papers: 8 pages+unlimited reference - Short papers (work in progress, innovative ideas/proposals, research ideas): 4 pages+unlimited reference - Submissions should be written in English. At submission time, papers must be in PDF format only. For the final versions, authors of accepted papers will be given one extra content page to consider the reviews. Authors of accepted papers will be requested to send the source files to produce the proceedings. All submitted papers must conform to the official ACL style guidelines (Latex or Word ). Both long and short papers will be published in the ACL Anthology. Submission site: https://easychair.org/conferences/?conf=illcnlp2024 Reviewing format: At least two reviewers will evaluate each submission. The reviewing format will be single-blind. Please help us spread the word about this event by sharing this call with your contacts and institutions. Your participation and support are crucial for the success of this workshop. Sincerely, Aline Paes, Aline Villavicencio, Claudio Pinhanez, Edward Gow-Smith, Paulo Rodrigo Cavalin (Workshop organisers) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN and BPLN CNPq PQ-2 and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 S?o Domingos, Niter?i, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool*** -------------- next part -------------- An HTML attachment was scrubbed... URL: From dao at nict.go.jp Thu Jan 11 04:28:36 2024 From: dao at nict.go.jp (dao at nict.go.jp) Date: Thu, 11 Jan 2024 18:28:36 +0900 Subject: Connectionists: Call for Papers: Workshop on Intelligent Cross-Data Analysis and Retrieval for a Smart and Sustainable Society In-Reply-To: <89dc8b8d-5a7c-4c06-8e88-bb451ab83fb3@uni-bielefeld.de> References: <89dc8b8d-5a7c-4c06-8e88-bb451ab83fb3@uni-bielefeld.de> Message-ID: <20240111092836.00000C0E.0291@nict.go.jp> Call for Papers: Workshop on Intelligent Cross-Data Analysis and Retrieval for a Smart and Sustainable Society https://www2.nict.go.jp/bidal/icdar_icmr2024/index.html We invite submissions for our workshop that focuses on the relevance and significance of multimedia analytics and retrieval in the context of the broader societal landscape. Over the past decade, significant advancements have been made in multimedia analytics and retrieval, allowing for precise and rapid extraction of data insights. This progress has led to numerous applications that enhance various aspects of human lives. However, the diverse perspectives embedded in multimedia and other data types present a complex puzzle that requires assembly to address human-centered challenges effectively. The workshop aims to bring together individuals working with multimedia and other data types across diverse research domains and disciplines, such as wellbeing, disaster prevention & mitigation, mobility, food computing, security, and smart cities. We encourage contributions that explore the originality and novelty of proposed topics related to the integration of diverse multimodal data. The current era witnesses the exponential growth of sensors, communication technologies, and social networks, enabling individuals to collect data swiftly from themselves and their environments. Coupled with artificial intelligence and advanced application techniques, data has evolved into a more intelligent form, providing valuable information and knowledge for near-human cognitive analytics and retrieval. This intelligent data collection offers new opportunities to better understand the intricate associations between human beings and their surroundings. The workshop specifically calls for submissions addressing the analysis and retrieval of cross-data from different perspectives, focusing on wearable and ambient sensors, lifelog cameras, social networks, and surrounding sensors. While several investigations have explored individual perspectives, there is a limited focus on analyzing and retrieving cross-data to maximize the benefits for human beings. Researchers are invited to contribute to this endeavor, aiming to create a smart and sustainable society by efficiently utilizing intelligent cross-data analysis and retrieval. Possible application domains for submitted works include, but are not limited to, well-being, disaster prevention & mitigation, mobility, and food computing. We encourage researchers from various backgrounds to engage in this workshop, fostering collaboration and innovation in the field of intelligent cross-data analysis and retrieval. Example topics of interest include but is not limited to the following? - Event-based cross-data retrieval, data mining, and AI technology.? - Complex event processing for linking sensors data from individuals, regions to broad areas dynamically.? - Transfer Learning and Transformers.? - Hypotheses Development of the associations within the heterogeneous data. - Realization of a prosperous and independent region in which people and nature coexist.? - Applications leverage intelligent cross-data analysis for a particular domain. - Cross-datasets for Repeatable Experimentation. - Federated Analytics, Federated Learning, and Edge AI for cross-data.? - Privacy-public data collaboration.? - Integration of diverse multimodal data. Important dates: - February 15, 2024. Workshop Paper Submission. - March 31, 2024. Notification of Acceptance for Workshop Papers.? - April 25, 2024. Camera-Ready Workshop Papers Due.? - TBA. ICMR 2024 Workshops Day. From ai at okipublishing.com Wed Jan 10 10:57:11 2024 From: ai at okipublishing.com (AI Systems) Date: Wed, 10 Jan 2024 15:57:11 +0000 Subject: Connectionists: Abstracts Due Jan 19: Artificial Intelligence Frontiers, April 1-4, USA & Online Message-ID: <2393d30c83a1ba8d57842ee741382ae2@okipublishing.com> [Apologies for cross-posting] --- Call for Abstracts and Papers ------------- 2024 OkIP International Conference on Artificial Intelligence Frontiers (CAIF) Downtown Oklahoma City, OK, USA & Online April 1-4, 2024 https://eventutor.com/e/CAIF001 Submission Deadline: January 19, 2024 Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems. *** Keynote/Invited Talk "AI Revolution in the Healthcare Enterprise" Ram D. Sriram, PhD Chief Software and Systems Division National Institute of Standards and Technology, USA *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) *** Tracks/Areas: >> AI, Machine Learning (ML), and Applications >> Agent-based, Automated, and Distributed Supports >> Formal Methods in AI >> AI Foundations/Theory/Algorithms >> Natural Language Processing (NLP) >> Conversational Agents and Dialogue System >> Intelligent Systems and Applications >> AI in Bioinformatics/Biotechnology >> AI in Nuclear-Energy/Earth-observation >> Knowledge-based and Control Supports >> Automation, Robotics and Vehicles >> Business Process Automation >> Global and Sustainable AI >> AI for HealthCare >> AI and Environmental Efficiency >> AI for Diversity/Inclusion/Equity/Equality >> AI for Future Communities >> Generative AI Tools and Models >> AI in Computing and Society >> Smart Systems/Infrastructures/Construction/City >> Intelligent Transportation Systems >> AI in Education >> AI Engineering >> AI in Data and Big Data >> AI System Design >> Software Engineering for AI >> AI for Cloud Computing >> AI in Software Engineering >> Theories and Approaches of Blockchain >> AI in Electronic Commerce >> AI in High-Performance Computing >> AI in CyberSecurity and Information Assurance >> IA in Power Systems >> Internet of Things >> IA in Energy >> AI Ethical/Gender/Equity/Bias/Policy/Accessibility Concerns >> Circuit, Design and Hardware for AI >> Other >> Important Dates: - Abstract or Paper Submission: January 19, 2024 - Author Notification: February 2-16, 2024 - Camera Ready Paper Submission, Registration: February 9-23, 2024 - Conference Date: April 1-4, 2024 >> Technical Program Committee https://eventutor.com/event/41/page/101-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From nemanja at temple.edu Wed Jan 10 21:44:12 2024 From: nemanja at temple.edu (Nemanja Djuric) Date: Thu, 11 Jan 2024 02:44:12 +0000 Subject: Connectionists: CfP: The 6th Workshop on "Precognition: Seeing through the Future" @ CVPR 2024 Message-ID: Call for Workshop Papers The 6th Workshop on "Precognition: Seeing through the Future" in conjunction with The 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) Seattle, June 17th-21st, 2024 https://sites.google.com/view/ieeecvf-cvpr2024-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the fifth Precognition workshop organized at CVPR. It follows very successful workshops organized since 2019, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the websites of earlier Precognition workshops, linked at the workshop website. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity and trajectory forecasting - Multi-agent forecasting - Human behavior and pose prediction - Human face aging prediction - Predicting frames and features in videos and other sensors in autonomous driving - Traffic congestion anomaly prediction - Automated Covid-19 prediction in medical imaging - Visual DeepFake prediction - Short- and long-term prediction and diagnoses in medical imaging - Prediction of agricultural parameters from satellite imagery - Databases, evaluation and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Extended abstracts of already published works can also be submitted. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2024 ================= Important Deadlines: Submission : March 19th, 2024 Decisions : April 4th, 2024 Camera-ready : April 13th, 2024 Workshop : June 18th, 2024 (subject to change by the CVPR organizers) ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Nemanja Djuric (Aurora Innovation) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Utsav Prabhu (Google) - Dr. Hien Van Nguyen (University of Houston) - Dr. Junwei Liang (HKUST, Guangzhou) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Thu Jan 11 14:44:43 2024 From: maanakg at gmail.com (Maanak Gupta) Date: Thu, 11 Jan 2024 13:44:43 -0600 Subject: Connectionists: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems Message-ID: Dear Colleagues, ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS) aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. The workshop will be held in Porto, Portugal (or virtually) on June 21, 2024 in conjunction with the 14th ACM Conference on Data and Application Security and Privacy (CODASPY 2024). *** Paper submission deadline: February 25, 2024 *** *** Website: https://sites.google.com/view/sat-cps-2024/ *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, June 21, 2024, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2024 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: February 25, 2024 Notification of acceptance to authors: March 25, 2024 Camera-ready of accepted papers: April 1, 2024 Workshop day: June 21, 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Thu Jan 11 14:52:39 2024 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Thu, 11 Jan 2024 20:52:39 +0100 Subject: Connectionists: Special session at WCCI'24 Message-ID: <4151C962-E586-4A4B-A795-A579F30AA54E@techfak.uni-bielefeld.de> Reminder: We would like to draw your attention to the special session at WCCI 2024 in Yokohama Special session on "Machine Learning in Critical Infrastructure" Scope: Properly working critical infrastructures such as those delivering electricity, water, transportation, and gas are essential for our modern society. Proper and safe operation of such infrastructure requires dealing with many aspects and challenges such as: maintaining stability and functionality of the entire system, anomaly detection, defense against cyber-physical attacks, etc. Usually, the human operator monitors and controls the system by investigating (in real-time) sensor readings from the system. With recent advances in AI (in particular in Machine Learning), the need to design data-driven decision support systems for critical infrastructure arises. However, such data-driven systems have to deal with specific and unique challenges such as complex spatio-temporal data (e.g. sensor readings), uncertainty and noise and the input data as well as in the topology and description of the system, very sparse sensor placements, missing or uncertain labels, simulated training data only, etc. Data-driven systems applied to critical infrastructure have been classified as high-risk systems (e.g. by the EU AI act) because failures can have catastrophic consequences in the real world. Consequently, such systems must (by law, such as requested by the EU AI act) provide transparent outputs, and also come with guarantees with respect to robustness. In this special session, we aim to bring together researchers from AI and engineering, as well as practitioners from industry, to explore and discuss foundational research and applications of data-driven methods in critical infrastructure. We expect high-quality and novel contributions to this highly relevant topic. Call for Papers We welcome contributions to all topics related to Machine Learning in critical infrastructure, including (but not limited to): Transparency of data-driven systems in critical infrastructure Handling noise and uncertainty in data-driven systems Data-driven systems for spatio-temporal data Robustness of data-driven systems Novel applications of machine learning to critical infrastructure Submissions must be anonymized and submitted directly through the EDAS system (https://edas.info/newPaper.php?c=31628&track=121739 ) ? make sure to select the topic ?Special Session: Machine Learning in Critical Infrastructure?. The complete author guidelines can be found at https://2024.ieeewcci.org/submission Submission deadline: 15.01.2024 Organizers Andr? Artelt, Bielefeld University, Germany Prof. Cesare Alippi, Politecnico di Milano, Italy & Universit? della Svizzera Italiana, Switzerland Prof. Barbara Hammer, Bielefeld University, Germany Prof. Marios M. Polycarpou, University of Cyprus, Cyprus -- Prof. Dr. Barbara Hammer Machine Learning Group, CITEC Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 -------------- next part -------------- An HTML attachment was scrubbed... URL: From C.ODonnell2 at ulster.ac.uk Thu Jan 11 13:58:14 2024 From: C.ODonnell2 at ulster.ac.uk (O'Donnell, Cian) Date: Thu, 11 Jan 2024 18:58:14 +0000 Subject: Connectionists: PhD in NeuroAI Message-ID: We are looking for a computational neuroscience PhD student for a project on ?NeuroAI approaches to understanding inter-individual differences in cognition and psychiatric disorders.? The goal is to use populations of deep neural networks as a simple model for populations of human brains, combined with models from evolutionary genetics, to understand the principles underlying the mapping from genotypes to cognitive phenotypes. More details including reading material here: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1577672. This is a collaborative project with Prof Liam McDaid and Dr Bryan Gardiner at Ulster University, and Dr Kevin Mitchell at Trinity College Dublin. You will join our research group which uses computational tools to do research on synaptic plasticity, learning and memory, autism, and neural data analysis methods: https://odonnellgroup.github.io. You will also be a member of the CNET team in the Intelligent Systems Research Centre (http://isrc.ulster.ac.uk), a community of researchers working across computational and cognitive neuroscience, neurotechnology, neuromorphic engineering, machine learning, robotics and related fields. We are based in the Derry campus of Ulster University. Derry a lively city of ~100K people on the River Foyle in Northern Ireland, UK. It has a highly affordable cost of living, thriving cultural scene, and access to spectacular coastal scenery and the great outdoors in Donegal and the north coast of Northern Ireland. To be eligible for funding, UK-based applicants should have or expect to obtain an upper second or first-class undergraduate or masters degree. International applicants should have a masters degree. Application deadline is 26th February 2024, for a Sept 2024 start. Application info here: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1577672. Please contact Cian (c.odonnell2 at ulster.ac.uk) if you are interested or have questions. -- Cian O?Donnell Lecturer in Data Analytics School of Computing, Engineering and Intelligent Systems Ulster University https://odonnellgroup.github.io This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Fri Jan 12 03:09:52 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Fri, 12 Jan 2024 09:09:52 +0100 Subject: Connectionists: Sony AI: Research internship NLP, ML & Perceptual Modeling Message-ID: For our lab in Tokyo, Sony AI (https://ai.sony/) are seeking a research intern (MS or PhD) with expertise in multilingual NLP, machine learning, and perceptual modeling to join our Gastronomy team. The internship requires a minimum of 3-months duration; ideally you can commit for 6 months. During the internship, you will be paired with mentors and work with them closely on all aspects of research, from defining research problems to developing new ML solutions to presenting your findings at top publication venues. The scope of the particular project, connecting verbal descriptions to perceptual modeling across different languages and stimulus domains, provides you with a lot of creative flexibility to explore things and learn. Link to the job advertisement/application platform: https://ai.sony/joinus/job-roles/Research_Intern_NLP-ML&PreceptualModeling/ If you have any questions, feel free to reach out to tarek.besold at sony.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.coraci at imtlucca.it Fri Jan 12 03:50:52 2024 From: davide.coraci at imtlucca.it (Davide Coraci) Date: Fri, 12 Jan 2024 09:50:52 +0100 Subject: Connectionists: Call for participants -- WasON study Message-ID: *apologies for multiple posting* Dear list members, I'm Davide Coraci from the IMT School Lucca (Italy) (Italy) and I'd like to share with you the *WasON** survey*, a study developed by the SANe and the MInD units (MoMiLab research group). We are recruiting participants worldwide and it would be fantastic if you could take part in the study by completing the questionnaire you can find here: https://www.sane-elab.eu/NRIA/welcome.php. The aim of the study is to investigate how *neuroscientists* and researchers (psychologists, cognitive scientists, philosophers, etc.) with some familiarity with neuroimaging techniques draw associations between *cognitive processes* or psychological states and *functional magnetic resonance imaging (fMRI) data* observed experimentally. Also, with this brief test, you can assess your ability to predict the task that participants are performing in the scanner by looking at their brain activation. The questionnaire can be completed through PC or smartphone (however, the use of the PC is warmly suggested to visualize the fMRI maps better). Collected data will be completely *anonymous*. Once the questionnaire is finished, you can *check your accuracy* and decide to continue with another set of questions. In this case, please do not close or restart the session, otherwise the system will create another participant ID. We ask you to complete the questionnaire individually. However, after completing the survey you may want to compare your score with one of your lab mates and colleagues. Feel free to forward the link to anyone you think could be interested. If you have any questions or just want to be updated with the results of the study, please do not hesitate to contact me (davide.coraci at imtlucca.it). Thank you very much for your availability and your time. All the best, Davide Coraci -- Davide Coraci Phd Student IMT School for Advanced Studies Lucca MoMiLab - *Molecular Mind Laboratory* MInD - *Models, Inference, and Decisions * https://www.davidecoraci.com/welcome.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From jpezaris at gmail.com Fri Jan 12 09:34:45 2024 From: jpezaris at gmail.com (John Pezaris) Date: Fri, 12 Jan 2024 09:34:45 -0500 Subject: Connectionists: AREADNE 2024 Abstract Submission Open Message-ID: AREADNE 2024 Research in Encoding and Decoding of Neural Ensembles Eliopoulos Conference Center, Milos, Greece 25-29 June 2024 http://areadne.org info at areadne.org Dear Colleague, We are pleased to announce that abstract submission is now open for poster presentation at AREADNE 2024, 25-29 June 2024, our tenth meeting, to be held at the Eliopoulos Conference Centre in Milos, Greece. Note that this is a change in location from previous meetings. Continuing with the same highly successful format, AREADNE 2024 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal and beautiful setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 26 Jan 2024; notifications will be provided by late February 2024. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info at areadne.org . We hope to see you at AREADNE 2024! Best, - J. --- John S. Pezaris, Ph.D. AREADNE 2024 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA info at areadne.org From jiaxiangzhang at gmail.com Fri Jan 12 07:00:11 2024 From: jiaxiangzhang at gmail.com (Jiaxiang ZHANG) Date: Fri, 12 Jan 2024 12:00:11 +0000 Subject: Connectionists: [Conferences] AIiH 2024 Call for Special Session Proposals (International Conference on AI in Healthcare, Swansea UK) In-Reply-To: References: Message-ID: [Apologize for cross-posting] We are delighted to invite proposals for special sessions at the first International Conference on Artificial Intelligence in Healthcare (AIiH 2024), which will be held in Swansea from 4 September to 6 September 2024. A special session is designed to delve into a specific research theme or showcase innovative applications. Each special session will feature a minimum of five presentations. For topics of interest, please see the conference website (https://aiih.cc). Special session chairs will receive one free full registration. For a special session with more than five accepted papers, the organisers may invite one invited speaker, whose registration to the conference will also be free. Papers submitted to special sessions are reviewed in the same way as submissions to the conference's main sessions. Author guidance and paper submission details can be found here (https://aiih.cc/paper-submission). Presenting speakers are required to register at the conference. Special session papers will be included in the conference proceedings, published by Springer Lecture Notes in Computer Science. Procedure for Submitting Special Session Proposals Each proposal should include: 1. Session title. The title will be published in the conference programme. 2. Abstract (250 words). The abstract will be published in the conference program. 3. Name and affiliation of the special session organisers. 4. Name and affiliation of invited speakers who will contribute to the special session. Please note that the invited speakers will need to submit their papers (https://aiih.cc/paper-submission). Papers submitted for special sessions undergo the same review process as open submissions and will be included in the conference proceeding. 5. You can propose an open special session, which allows other delegates to submit their papers to the proposed session. Please email your proposal to contact at AIiH.cc by the deadline of January 26th, 2024. The conference committee will assess special session proposals based on the quality of the proposal and the broad appeal of the topic. -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.w.vandemeent at uva.nl Fri Jan 12 08:47:18 2024 From: j.w.vandemeent at uva.nl (Jan-Willem van de Meent) Date: Fri, 12 Jan 2024 13:47:18 +0000 Subject: Connectionists: Two postdoc openings at the University of Amsterdam Message-ID: We would like to alert you to two upcoming postdoc opportunities at the University of Amsterdam: 1. A position in Machine Learning in the UvA Bosch Delta Lab (https://ivi.fnwi.uva.nl/uvaboschdeltalab/). Research topics include (but are not limited to) generative models, uncertainty quantification, AI for Science, and approximate inference. Apply: https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-in-Machine-Learning/784737702/ Contact: Christian Andersson Naesseth 2. A position in AI for Sustainability, part of the ELiAS project (https://elias-ai.eu/). The focus in this position is on methods that can meaningfully advance our ability to develop sustainable technologies, including methods for Bayesian optimization and experiment design, probabilistic programming, and the development of data-efficient neural surrogate models. Apply: https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-in-AI-for-Sustainability/785625202/ Contact: Jan-Willem van de Meent -- Jan-Willem van de Meent Associate Professor (UHD) Amsterdam Machine Learning Lab UvA Bosch Delta Lab Informatics Institute University of Amsterdam (UvA) j.w.vandemeent at uva.nl https://amlab.science.uva.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.rigoni.1 at unipd.it Fri Jan 12 16:11:47 2024 From: davide.rigoni.1 at unipd.it (Davide Rigoni) Date: Fri, 12 Jan 2024 22:11:47 +0100 Subject: Connectionists: [CFP] Special Session: Deep Learning for Graphs @ IEEEWCCI24 Message-ID: *************************************************************** CALL FOR PAPERS IEEEWCCI24 IEEE World Congress on Computational Intelligence: https://2024.ieeewcci.org/ More details on the special session "*Deep Learning for Graphs*"*: * https://sites.google.com/view/dl4g-2024/home Yokohama, Japan, 30 June?5 July 2024 *************************************************************** *** Call For Papers *** The research field of deep learning for graphs studies the application of well-known deep learning concepts, such as convolution operators on images, to the processing of graph-structured data. Graphs are abstract objects that naturally represent interacting systems of entities, where interactions denote functional and/or structural dependencies between them. Molecular compounds and social networks are the most common examples of such graphs: on the one hand, a molecule is seen as a system of interacting atoms, whose bonds depend, e.g., on their inter-atomic distance; on the other hand, a social network represents a vastly heterogeneous set of user-user interactions, as well as between users and items, like, pictures, movies and songs. Besides, graph representations are extremely useful in far more domains, for instance to encode symmetries and constraints of combinatorial optimization problems as a proxy of our a-priori knowledge. For these reasons, learning how to properly map graphs and their nodes to values of interest poses extremely important, yet challenging, research questions. This special session on graph learning will solicit recent advances that exploit various topics to benefit the solving of real-world problems. The special session is an excellent opportunity for the machine learning community to gather together and host novel ideas, showcase potential applications, and discuss the new directions of this remarkably successful research field. *** Important Dates ** Paper Submissions (EXTENDED): January 29th, 2024 Paper Acceptance Notifications: March 15, 2024 Conference: June 30 - July 5, 2024 *** Topics *** This session focuses on the broad spectrum of machine learning methods for structured and relational data, with a focus on deep representation learning. Theoretical and methodological papers are welcome from any of the following areas, including but not limited to: - Graph representation learning - Graph generation (probabilistic models, variational autoencoders, adversarial learning, etc.)? - Graph learning and relational inference - Graph coarsening and pooling in graph neural networks - Graph kernels and distances - Theory of graph neural networks (e.g., expressive power, learnability, negative results) - Learning on complex graphs (e.g., dynamic graphs and heterogeneous graphs) - Deep learning for dynamic graphs and spatio-temporal data - Anomaly and change detection in graph data - Reservoir computing and randomized neural networks for graphs - Recurrent, recursive, and contextual models - Neural algorithmic reasoning - Relational reinforcement learning - Automatic graph machine learning - Scalability, data efficiency, and training techniques of graph neural networks - Tensor methods for structured data - Graph datasets and benchmarks We also encourage application papers focused on but not limited to: - Bioinformatics (e.g., drug discovery and protein folding) - Cybersecurity (e.g., fraud detection) - Transportation Systems (e.g., traffic forecasting) - Recommender Systems (e.g., dynamic link prediction) - Graph Machine Learning Platforms and Systems - Computer Vision (e.g. point clouds) - Natural Language Processing *** Submission Instructions *** 1. Go to the IEEE WCCI 2024 website and click on "Submit your paper". 2. You will be redirected to EDAS. Log into the system. 3. Select "IJCNN 2024 Special Session Papers" 4. Insert details of your paper and select the topic "Special Session: Deep Learning for Graphs" 5. Click on "Register Paper". Good Luck!! *** Session Organisers *** - Nicol? Navarin (University of Padua) - Davide Bacciu (University of Pisa) - Daniele Zambon (Swiss AI Lab IDSIA, Universit? della Svizzera italiana) - Federico Errica (NEC Laboratories Europe) - Daniele Castellana (University of Florence) - Luca Pasa (University of Padua) - Davide Rigoni (University of Padua) - Filippo Maria Bianchi (UiT the Arctic University of Norway) -------------- next part -------------- An HTML attachment was scrubbed... URL: From paherman at kth.se Sat Jan 13 23:52:07 2024 From: paherman at kth.se (Pawel Herman) Date: Sun, 14 Jan 2024 04:52:07 +0000 Subject: Connectionists: PhD positions in brain-like computing and computational neuroscience at KTH Royal Institute of Technology, Stockholm Message-ID: <59b315df591642299293b335d7bdb5f8@kth.se> Dear Colleagues I am writing to draw your attention to two PhD positions in Computational Cognitive Brain Science lab in the Division of Computational Science and Technology at KTH Royal Institute of Technology, Stockholm: 1) PhD position in brain-like computing (https://www.kth.se/lediga-jobb/681902?l=en) It is linked to the EU-project EXTRA-BRAIN Explainable Trustworthy AI for Data Intensive Applications, which just started in the beginning of the year. One of the key goals of the project is to develop and study brain-like neural network architectures and biologically inspired learning for semi-supervised and unsupervised learning problems. 2) PhD position in cognitive computational neuroscience (https://www.kth.se/lediga-jobb/682809?l=en) The goal of the project is to develop large-scale network-of-networks models to study neural interactions between different cortical and sub-cortical systems orchestrating control of goal-directed behaviour. The project will be conducted in the vibrant interdisciplinary environment including the Department of Clinical Neuroscience, Karolinska Institutet and the Department of Psychology at Stockholm University. Application deadline: Feb 5, 2024. Please contact me if you have any questions! Best Pawel Herman ------------------------------------ [cid:image001.jpg at 01DA469C.2F028DF0] Pawe? Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsv?gen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building) tel. +46 8 790 6513 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 13914 bytes Desc: image001.jpg URL: From amartino at luiss.it Sat Jan 13 05:54:24 2024 From: amartino at luiss.it (Alessio Martino) Date: Sat, 13 Jan 2024 10:54:24 +0000 Subject: Connectionists: [EXTENDED DEADLINE] IEEE WCCI/IJCNN 2024 Special Session on Artificial Intelligence and Complex Systems Message-ID: Dear Colleagues, We are inviting you to submit your research work to *WCCI 2024 * Special Session *Artificial Intelligence and Complex Systems* We would appreciate if you forward this CfP to friends and colleagues that might be interested. ******************************************************************************* *Special Session on Artificial Intelligence and Complex Systems* *IEEE World Congress on Computational Intelligence (IEEE WCCI)* *June 30th-July 5th, 2024. Venue - Yokohama, Japan.* ******************************************************************************* SCOPE and TOPICS The special session aims to explore the intricate relationship between Artificial Intelligence (AI) and complex systems through Complexity Theory, delving into the understanding of modern AI systems such as deep learning architectures and large language models (e.g., GPT/ChatGPT, BARD, Llama, Anthropic, etc.) as complex dynamic systems. With a focus on stochastic processes, explainable AI, cognitive approaches, multimodal learning, AI and security, and AI and bias, the session will serve as a multidisciplinary platform that extends beyond engineering to include cognitive science, linguistics, philosophy, and other relevant fields. Specifically, we welcome researchers and engineers in AI and complex systems theory, cognitive scientists, linguists, and philosophers as well as industry professionals seeking to apply complexity theory in AI solutions to submit their works to this special session to investigate on the following four objectives: - To investigate how Complexity Theory can offer invaluable tools for analyzing AI systems, particularly in the context of dynamic behavior, emergent properties, and stochastic processes. - To explore how AI can be employed to study and understand complex systems, including information granulation (Granular Computing) and multi-agent environments. - To establish new methodologies for measuring the intelligence and linguistic understanding of AI systems through the lens of Complexity Theory. - To discuss the future directions and next steps in the intersection of AI and Complexity Theory in reaching artificial general intelligence (AGI). Topics of interest include (but are not limited to): - Emergent Behavior and Stochastic Processes in AI Systems: Understanding how complex systems theory can explain the adaptive, emergent characteristics and stochastic outputs of AI. - Multifractal and Stochastic Analysis of AI: Utilizing complexity theory for the multifractal and stochastic analysis of AI systems. - Dynamic Systems Theory in AI: How dynamic systems theory can be applied to AI for better system analysis and prediction. - Explainable AI: Investigating methods for making complex AI systems understandable and interpretable. - Cognitive Approach in AI: Exploring how cognitive science can inform and improve AI systems. - Multimodal Learning: The role of multimodal learning in enhancing the capabilities of AI systems. - AI in Multi-Agent Complex Systems: Exploring the role of AI in the study and understanding of multi-agent complex systems. - AI and Security: Discussing the implications of complexity theory for AI in cybersecurity. - AI and Bias: Addressing the challenges and solutions for bias in AI systems. - Linguistic and Philosophical Aspects: Investigating the implications of complexity in AI for language models, meaning, and other linguistic aspects, as well as philosophical considerations. ******************************************************************************* IMPORTANT DATES * EXTENDED PAPER SUBMISSION DEADLINE: January 29th, 2024 * Paper Acceptance Notification: March 15th, 2024 * Final Paper Submission & Early Registration: May 1st, 2024 ******************************************************************************* SUBMISSION GUIDELINES The submission procedure, deadlines, and paper format are the same as the *IEEE WCCI 2024 *main conference. In particular, we recall that papers must be submitted through the *IEEE WCCI 2024* online submission system and selecting the "Special Session Papers" track on IJCNN 2024. At submission stage, make sure to select "Special Session: AICS: Artificial Intelligence and Complex Systems" amongst the Topics. ******************************************************************************* ORGANIZERS and CONTACT - *Prof. Alessio Martino* ? LUISS University, Rome, Italy Email: amartino at luiss.it - *Prof. Enrico De Santis* ? Sapienza University of Rome, Italy Email: enrico.desantis at uniroma1.it - *Prof. Antonello Rizzi* ? Sapienza University of Rome, Italy Email: antonello.rizzi at uniroma1.it Official Special Session Website: ________________________________________ Alessio Martino, PhD Assistant Professor of Computer Science LUISS Guido Carli University Department of Business and Management Viale Romania 32, 00197 Rome, Italy (Room 539) Phone: (+39) 06-85225957 E-mail: amartino at luiss.it La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. ? vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.rigoni.1 at unipd.it Sat Jan 13 06:53:47 2024 From: davide.rigoni.1 at unipd.it (Davide Rigoni) Date: Sat, 13 Jan 2024 12:53:47 +0100 Subject: Connectionists: [CFP] Special Session: Deep Learning for Graphs @ IEEEWCCI24 Message-ID: *************************************************************** CALL FOR PAPERS IEEEWCCI24 IEEE World Congress on Computational Intelligence: https://2024.ieeewcci.org/ More details on the special session "Deep Learning for Graphs": https://sites.google.com/view/dl4g-2024/home Yokohama, Japan, 30 June?5 July 2024 *************************************************************** ****** Call For Papers ****** The research field of deep learning for graphs studies the application of well-known deep learning concepts, such as convolution operators on images, to the processing of graph-structured data. Graphs are abstract objects that naturally represent interacting systems of entities, where interactions denote functional and/or structural dependencies between them. Molecular compounds and social networks are the most common examples of such graphs: on the one hand, a molecule is seen as a system of interacting atoms, whose bonds depend, e.g., on their inter-atomic distance; on the other hand, a social network represents a vastly heterogeneous set of user-user interactions, as well as between users and items, like, pictures, movies and songs. Besides, graph representations are extremely useful in far more domains, for instance to encode symmetries and constraints of combinatorial optimization problems as a proxy of our a-priori knowledge. For these reasons, learning how to properly map graphs and their nodes to values of interest poses extremely important, yet challenging, research questions. This special session on graph learning will solicit recent advances that exploit various topics to benefit the solving of real-world problems. The special session is an excellent opportunity for the machine learning community to gather together and host novel ideas, showcase potential applications, and discuss the new directions of this remarkably successful research field. ****** Important Dates ****** Paper Submissions (EXTENDED): January 29th, 2024 Paper Acceptance Notifications: March 15, 2024 Conference: June 30 - July 5, 2024 ****** Topics ****** This session focuses on the broad spectrum of machine learning methods for structured and relational data, with a focus on deep representation learning. Theoretical and methodological papers are welcome from any of the following areas, including but not limited to: -> Graph representation learning -> Graph generation (probabilistic models, variational autoencoders, adversarial learning, etc.)? -> Graph learning and relational inference -> Graph coarsening and pooling in graph neural networks -> Graph kernels and distances -> Theory of graph neural networks (e.g., expressive power, learnability, negative results) -> Learning on complex graphs (e.g., dynamic graphs and heterogeneous graphs) -> Deep learning for dynamic graphs and spatio-temporal data -> Anomaly and change detection in graph data -> Reservoir computing and randomized neural networks for graphs -> Recurrent, recursive, and contextual models -> Neural algorithmic reasoning -> Relational reinforcement learning -> Automatic graph machine learning -> Scalability, data efficiency, and training techniques of graph neural networks -> Tensor methods for structured data -> Graph datasets and benchmarks We also encourage application papers focused on but not limited to: -> Bioinformatics (e.g., drug discovery and protein folding) -> Cybersecurity (e.g., fraud detection) -> Transportation Systems (e.g., traffic forecasting) -> Recommender Systems (e.g., dynamic link prediction) -> Graph Machine Learning Platforms and Systems -> Computer Vision (e.g. point clouds) -> Natural Language Processing ****** Submission Instructions ****** 1) Go to the IEEE WCCI 2024 website and click on "Submit your paper". 2) You will be redirected to EDAS. Log into the system. 3) Select "IJCNN 2024 Special Session Papers" 4) Insert details of your paper and select the topic "Special Session: Deep Learning for Graphs" 5) Click on "Register Paper". Good Luck!! ****** Session Organisers ****** -> Nicol? Navarin (University of Padua) -> Davide Bacciu (University of Pisa) -> Daniele Zambon (Swiss AI Lab IDSIA, Universit? della Svizzera italiana) -> Federico Errica (NEC Laboratories Europe) -> Daniele Castellana (University of Florence) -> Luca Pasa (University of Padua) -> Davide Rigoni (University of Padua) -> Filippo Maria Bianchi (UiT the Arctic University of Norway) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Jan 14 11:34:59 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 14 Jan 2024 18:34:59 +0200 Subject: Connectionists: World wide VVTNS series: Wednesday, January 17 at 11am (ET), Ann Kennedy, Northwestern University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Ann Kennedy Northwestern University on the topic of "Neural computations underlying the regulation of motivated behavior" The lecture will be held on zoom on *January 17, 2024*, at *11:00 am ET * Register on the our website - https://www.wwtns.online -to receive the zoom link *Abstract:* As we interact with the world around us, we experience a constant stream of sensory inputs, and must generate a constant stream of behavioral actions. What makes brains more than simple input-output machines is their capacity to integrate sensory inputs with an animal?s own internal motivational state to produce behavior that is flexible and adaptive. Working with neural recordings from subcortical structures involved in regulation of survival behaviors, we show how the dynamical properties of neural populations give rise to motivational states that change animal behavior on a timescale of minutes. We also show how neuromodulation can alter these dynamics to change behavior on timescales of hours to days. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From hugo.o.sousa at inesctec.pt Mon Jan 15 07:34:38 2024 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Mon, 15 Jan 2024 12:34:38 +0000 Subject: Connectionists: Text2Story'24 Deadline Extension Message-ID: *** Apologies for cross-posting *** ++ DEADLINE EXTENSION ++ **************************************************************************** Seventh International Workshop on Narrative Extraction from Texts (Text2Story'24) Held in conjunction with the 46th European Conference on Information Retrieval (ECIR'24) March 24th, 2024 ? Glasgow, Scotland Website: https://text2story24.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission Deadline: January 17th, 2024 January 24th, 2024 - Acceptance Notification: February 23rd, 2024 - Camera-ready copies: March 15th, 2024 - Workshop: March 24th, 2024 ++ Overview ++ Over these past years, significant breakthroughs, led by Transformers and Large Language Models (LLMs), have been made in understanding natural language text. However, the ability to capture, represent, and analyze contextual nuances in longer texts is still an elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. In the seventh edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g, chatGPT) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation and understanding from texts including but not limited to narrative information extraction aspects, narratives representation, knowledge extraction, ethics and bias in narratives, datasets and evaluation protocols and narrative applications such as visualization of narratives, multi-modal aspects, Q&A, etc. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: Information Extraction Aspects * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Big Data Applied to Narrative Extraction Narrative Representation * Annotation protocols * Narrative Representation Models * Lexical, Syntactic, and Semantic Ambiguity in Narrative Representation Narrative Analysis and Generation * Argumentation Analysis * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Comprehension of Generated Narratives * Story Evolution and Shift Detection * Automatic Timeline Generation Datasets and Evaluation Protocol * Evaluation Methodologies for Narrative Extraction * Annotated datasets * Narrative Resources Ethics and Bias in Narratives * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking Narrative Applications * Narrative-focused Search in Text Collections * Narrative Summarization * Narrative Q&A * Multi-modal Narrative Summarization * Sentiment and Opinion Detection in Narratives * Social Media Narratives * Narrative Simplification * Personalization and Recommendation of Narratives * Storyline Visualization ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset - published at ECIR'21 - under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks (e.g., Q&A), especially when combined with Large Language Models (LLMs) like ChatGPT. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We solicit the following types of contributions: * Full papers up to 8 pages + references Original and high-quality unpublished contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Short papers up to 5 pages + references Unpublished short papers describing work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. * Demos | Resource Papers up to 5 pages + references Unpublished papers presenting research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community; Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Invited Speakers ++ Homo narrans: From Information to Narratives Jochen L. Leidner, Coburg University of Applied Sciences, Germany Abstract: Humans are curious creatures, equipped with a sense of (and desire for) finding meaning in their environment. They are predisposed to identify patterns, real and spurious, in the world they live in, and above anything else, they understand the world in terms of narratives. In this talk, we will explore a set of questions about narratives: what is a narrative made up of? What signals from textual prose tell us what the narrative is? What about signals from structured data that imply a particular narrative? What is the essence of a story? How can narrative information be extracted and presented? Open source intelligence analysts and investigative reporters alike are hunting for the story, the narrative, behind the petabyte intercepts or terabyte leaks. The more data we gather or have available, the stronger will be our thirst to distill meaningful stories from it. Bio: Professor Jochen L. Leidner MA MPhil PhD FRGS is the Research Professor for Explainable and Responsible Artificial Intelligence in Insurance at Coburg University of Applied Sciences and Arts, Germany, where he leads the Information Access Research Group, a Visiting Professor of Data Analytics in the Department of Computer Science, University of Sheffield and founder and CEO of the consultancy KnowledgeSpaces. He is also a Fellow of the Royal Geographical Society. Dr. Leidner's experience includes positions as Director of Research at Thomson Reuters and Refinitiv in London, where he headed its R&D team (2013-2022). He has built up research and innovation teams. He was also the Royal Academy of Engineering Visiting Professor of Data Analytics at the Department of Computer Science. His background includes a Master's in computational linguistics, English and computer science (University of Erlangen-Nuremberg), a Master's in Computer Speech, Text and Internet Technology (University of Cambridge) and a PhD in Informatics (University of Edinburgh), which won the first ACM SIGIR Doctoral Consortium Award. He is a scientific expert for the European Commission (FP7, H2020, Horizon Europe) and other funding bodies in Germany, Austria, the UK and the USA. He also is a past chair of the Microsoft-BCS/BCS IRSG Karen Sparck Jones award. Professor Leidner is an author or co-author of several dozen peer-reviewed publications (including one best paper award), has authored or co-edited two books and holds several patents in the areas of information retrieval, natural language processing, and mobile computing. He has been twice winner of the Thomson Reuters inventor of the year award for the best patent application, and is the past received of a Royal Society of Edinburgh Enterprise Fellowship in Electronic Markets. Visual Storytelling with Question-Answer Plans Mirella Lapata, University of Edinburgh, Scotland Abstract: Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with external knowledge sources or advanced graph structures. Despite recent progress, the stories are often repetitive, illogical, and lacking in detail. To mitigate these issues, we present a novel framework which integrates visual representations with pretrained language models and planning. Our model translates the image sequence into a visual prefix, a sequence of continuous embeddings which language models can interpret. It also leverages a sequence of question-answer pairs as a blueprint plan for selecting salient visual concepts and determining how they should be assembled into a narrative. Automatic and human evaluation on the VIST benchmark (Huang et al., 2016) demonstrates that blueprint-based models generate stories that are more coherent, interesting, and natural compared to competitive baselines and state-of-the-art systems. Bio: Professor Mirella Lapata is a faculty member in the School of Informatics at the University of Edinburgh. She is affiliated with the Institute for Communicating and Collaborative Systems and the Edinburgh Natural Language Processing Group. Her research centers on computational models for the representation, extraction, and generation of semantic information from structured and unstructured data. This encompasses various modalities, including text, images, video, and large-scale knowledge bases. Prof. Lapata has contributed to diverse applied Natural Language Processing (NLP) tasks, such as semantic parsing, semantic role labeling, discourse coherence, summarization, text simplification, concept-to-text generation, and question answering. Using primarily probabilistic generative models, she has employed computational models to investigate aspects of human cognition, including learning concepts, judging similarity, forming perceptual representations, and learning word meanings. The overarching objective of her research is to empower computers to comprehend requests, execute actions based on them, process and aggregate large datasets, and convey information derived from them. Central to these endeavors are models designed for extracting and representing meaning from natural language text, internally storing meanings, and leveraging stored meanings to deduce further consequences. ++ Organizing committee ++ Ricardo Campos (INESC TEC; University of Beira Interior, Covilh?, Portugal) Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ Jo?o Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Concei??o Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ ?lvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Universit? de La Rochelle) Ant?nio Horta Branco (University of Lisbon) Anubhav Jangra (IIT Patna, Japan) Arian Pasquali (Faktion AI) Bart Gajderowicz (University of Toronto) Bego?a Altuna (Universidad del Pa?s Vasco) Behrooz Mansouri (Rochester Institute of Technology) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Brucce dos Santos (Computational Intelligence Laboratory (LABIC) - ICMC/USP) David Semedo (Universidade NOVA de Lisboa) Deya Banisakher (Florida International University) Dhruv Gupta (Norwegian University of Science and Technology) Evelin Amorim (INESC TEC) Henrique Lopes Cardoso (LIACC & University of Porto) Ignatius Ezeani (Lancaster University) Irina Rabaev (Shamoon College of Engineering) Ismail Altingovde (Middle East Technical University) Jo?o Paulo Cordeiro (INESC TEC & University of Beira Interior) Liana Ermakova (HCTI, Universit? de Bretagne Occidentale) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Luis Filipe Cunha (INESC TEC & University of Minho) Marc Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Mariana Caravanti (Computational Intelligence Laboratory (LABIC) - ICMC/USP) Moreno La Quatra (Kore University of Enna) Natalia Vanetik (Sami Shamoon College of Engineering) Nuno Guimar?es (INESC TEC & University of Porto) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Purifica??o Silvano (CLUP & University of Porto) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) S?rgio Nunes (INESC TEC & University of Porto) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Valentina Bartalesi (ISTI-CNR, Italy) ++ Contacts ++ Website: https://text2story24.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2024 at easychair.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From emanuel.dinardo at collaboratore.uniparthenope.it Mon Jan 15 10:32:48 2024 From: emanuel.dinardo at collaboratore.uniparthenope.it (EMANUEL DI NARDO) Date: Mon, 15 Jan 2024 15:32:48 +0000 Subject: Connectionists: [CFP] Deadline Extension - Special Session: A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers for special session "A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision" Special session is included in IJCNN at the IEEE WCCI 2024 in Yokohama The conference will provide the possibility for remote presentations (live online talk with live online Q&A) Paper submission deadline extended to January 29th, 2024! Scope and topics Computer vision has always been an extremely popular topic in the field of Artificial Intelligence. It is of fundamental importance in many high-impact application areas, such as in security with Visual Object Tracking, in the medical field through the possibility of making predictions of diseases and attempting to locate through object detection and segmentation possible diseased areas in images. It is perfectly applicable to any kind of visual input even from different domains such as using data from ECG or EEG that can easily be transformed from one-dimensional signals into two or tri-dimensional signals and represent them with high semantic meaning as images. Moreover, with the latest generative techniques, artificial data can be made with extraordinary fidelity. The techniques produced in this area are able to work on both static images and sequences of images, which can have both temporal and volumetric expansion. Because of all these applications, some of them extremely sensitive and high-impact for humans, it has become necessary in recent years to begin to understand why a neural model working on images chooses one response over another. This is possible through explainable Artificial Intelligence techniques. As time goes on, however, it becomes increasingly important not only to explain why an artificial neural network makes choices, but also and especially to provide architectures that can explicitly or implicitly provide a set of explanations/rules, why it was possible to interpret a certain output with given input and verify the mechanisms that are activated within it, even making them predictable. Finally, it is becoming more and more appropriate to put side by side with this type of analysis, how well a model is able to "defend" and "adapt" itself from elements in the external world. that attempt to confuse the model and try to steer it down the wrong path. Thus, the purpose of this special session is to revise computer vision models by changing the perspective of looking at these methodologies, making them no longer only data- and performance-driven, which is the point on which mostly new algorithms are created, but to be able to make them become human-centric, that is, through processes of explainability, interpretability, and resilience to go about unwinding the skein of uncertainty that hovers over deep learning and, especially, in the field of computer vision by allowing artificial intelligence to be reliable from a human perspective. The topics of interest for this special session include (but are not limited to): * Explainability and interpretability of deep neural networks * Resilient models in computer vision * Robustness and adaptation to adversarial inputs * Visualization techniques for explainability and interpretability * Meta-explanation, generative description of outputs * Specific explainability and effects of visual attributes in images * Datasets reliability * Multisource imaging interpretation To submit a paper use edas platform (https://edas.info/newPaper.php?c=31628&track=121739) and specify, in the topics section, that your paper is for the "A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision?. Paper submission guidelines can be found on WCCI website (https://2024.ieeewcci.org/) All papers accepted and presented at WCCI2024 will be included in the conference proceedings published by IEEE Xplore. All details can be found at https://sites.google.com/view/heiro-ijcnn-call-for-paper/home Organizers Emanuel Di Nardo, PhD, University of Naples Parthenope, Italy Prof. Ihsan Ullah, Insight SFI Research Center for Data Analytics, University of Galway, Galway, Ireland Prof. Angelo Ciaramella, University of Naples Parthenope, Italy ------ Emanuel Di Nardo, PhD University of Naples Parthenope Naples, Italy emanuel.dinardo at uniparthenope.it https://research.emanueldinardo.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From gadia at di.unimi.it Mon Jan 15 08:23:38 2024 From: gadia at di.unimi.it (gadia at di.unimi.it) Date: Mon, 15 Jan 2024 13:23:38 +0000 Subject: Connectionists: [CfP] IEEE CoG 2024 - Call for papers Message-ID: IEEE CoG 2024: The 2024 IEEE Conference on Games August 5-8, 2024 Milan, Italy https://2024.ieee-cog.org/ Call for Papers Submission of *full* papers: March 1, 2024 Submission of *auxiliary* papers: April 28, 2024 The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems. IEEE CoG 2024 will take place at Politecnico di Milano, which is located in Milan, Italy. We invite contributions related to all game aspects, including, but not limited to: - Accessibility and inclusivity in games - Game design (frameworks, game mechanics, etc.) - Game technology (game engines, graphics, audio, animation, physics, networking, controls, etc.) - Player-Computer Interfaces - Generative AI for games - Serious/applied games (for health, sustainability, etc.) - Extended reality (virtual reality, mixed reality, and augmented reality) - Esports and live-streaming - Games for education, learning and development - Game editors and authoring tools - Game User Research (player/opponent modeling, player experience studies, psychology of play and player types, etc.) - Game-playing AI - Games as test-beds for algorithms - Game analytics, game data science, and data visualization - AI for game development (automated playtesting, adaptation/personalization in games, etc.) Please note: CoG is not a conference about game theory and does not accept papers about game theory unless they are applied to games people would play, such as video games or board games. *** Full papers *** We invite the submission of full *technical* and *vision* papers with an 8 page limit (including references and appendices). Full *technical* papers should provide a technical or empirical contribution to scientific, technical, or engineering aspects of games. Full *vision* papers should describe a vision for the future of the Games field or some part of it, be based on extensive research, and include a comprehensive bibliography. Please notice that the standards for vision papers are high: literature reviews and opinion papers with speculations not grounded in research are immediately rejected. *** Auxiliary papers *** We invite the submission of *short* and *demo* papers. *Short* papers (2-4 pages) describe work in progress, smaller projects that are not yet ready to be published as a full paper, or new progress on projects that have been reported elsewhere. *Demo* papers (2 pages) describe works to be presented during a demo session. All page limits include references and appendices. *** Important Dates *** Full papers submission: March 1, 2024 Full papers acceptance notification: April 15, 2024 Auxiliary papers submission: April 28, 2024 Auxiliary papers acceptance notification: May 28, 2024 Papers camera ready: June 7, 2024 Early bird and (author) registration: June 7, 2024 NONE OF THE SUBMISSION DEADLINES WILL BE EXTENDED. All deadlines are Anytime on Earth (AoE). *** Submission Instructions *** Papers must be submitted through the conference submission system available at the following link: https://cmt3.research.microsoft.com/CoG2024 All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html All submitted papers will be fully peer-reviewed, and accepted papers will be published in the conference proceedings and on IEEE Xplore. CoG will use a *double-blind review process*. Authors must omit their names and affiliations from their submissions, avoiding obvious identifying statements. Submissions not abiding by anonymity requirements will be desk rejected. Short papers might be allocated to either poster presentations or short oral presentations if time and space permit. Demo papers will be allocated to a demo session. We look forward to having you join us at CoG 2024 in Milan. Best regards, The Organizing Committee of IEEE CoG 2024 --------------------------------------------------------------- Davide Gadia, PhD Associate Professor Dipartimento di Informatica "Giovanni Degli Antoni" Universit? degli Studi di Milano Via Celoria 18 20133 Milano Room 3005 - Floor 3 Tel. +39 02 5031 6301 Homepage: https://pong.di.unimi.it/davide/ PONG laboratory: https://pong.di.unimi.it/ --------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From angus.chadwick at ed.ac.uk Mon Jan 15 11:54:30 2024 From: angus.chadwick at ed.ac.uk (Angus Chadwick) Date: Mon, 15 Jan 2024 16:54:30 +0000 Subject: Connectionists: Postdoc in neural data analysis at the University of Edinburgh Message-ID: Dear all, We invite applications for a Postdoctoral Research Associate to work on an exciting project developing novel methodologies for analysis of large-scale neural recordings over learning. This project is part of an international collaboration between the labs of Dr Angus Chadwick (University of Edinburgh), Prof Alex Cayco-Gajic (?cole Normal? Sup?rieure) and Prof Matthew Perich (Universit? de Montr?al). The successful candidate will build upon a method recently developed by the host lab (Dr Chadwick) together with collaborator Prof Cayco-Gajic (Pellegrino, Cayco-Gajic* and Chadwick*, NeurIPS 2023). The project involves development of novel data-analytic methodologies and application to cutting-edge neural datasets collected during motor and perceptual learning tasks. In particular, the candidate will build upon the recent line of work by the supervisory team: https://arxiv.org/abs/2308.11567 https://www.sciencedirect.com/science/article/pii/S0896627322009059 https://www.sciencedirect.com/science/article/abs/pii/S0959438823000843 The role is based primarily at the Institute for Adaptive and Neural Computation at the University of Edinburgh. Funding is available to undertake extended research visits to the labs of international collaborators at ?cole Normale Sup?rieure and Universit? de Montr?al. This is a full-time position, with an initial appointment of 18 months, and available to start immediately. There full job ad can be viewed here: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/9390/?utm_medium=jobshare To apply, please email Dr Angus Chadwick at angus dot chadwick at ed.ac.uk with a CV and contact details for two references. Informal inquiries are also encouraged. Applications will be considered until the position is filled, with priority for those submitted before 9th February 2024. Best wishes, Angus Chadwick The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tmawla42 at tntech.edu Mon Jan 15 12:10:45 2024 From: tmawla42 at tntech.edu (Mawla, Tanjila (tmawla42)) Date: Mon, 15 Jan 2024 17:10:45 +0000 Subject: Connectionists: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems Message-ID: Dear Colleagues, ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS) aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. The workshop will be held in Porto, Portugal (or virtually) on June 21, 2024 in conjunction with the 14th ACM Conference on Data and Application Security and Privacy (CODASPY 2024). *** Paper submission deadline: February 25, 2024 *** *** Website: https://sites.google.com/view/sat-cps-2024/ *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, June 21, 2024, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2024 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: February 25, 2024 Notification of acceptance to authors: March 25, 2024 Camera-ready of accepted papers: April 1, 2024 Workshop day: June 21, 2024 Sincerely, Tanjila Mawla PhD Student and Graduate Research Assistant in Computer Science, Tennessee Technological University. Email: tmawla42 at tntech.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.miasnikof at utoronto.ca Mon Jan 15 15:25:41 2024 From: p.miasnikof at utoronto.ca (P. Miasnikof) Date: Mon, 15 Jan 2024 15:25:41 -0500 Subject: Connectionists: Complex networks in banking and finance Message-ID: <0ac63365-2215-4896-b516-1853436ccf0a@utoronto.ca> Hello, Please save the date, a detailed call for abstracts is coming soon: http://www.fields.utoronto.ca/activities/23-24/complex-networks A workshop on complex networks in banking and finance will be held at the Fields Institute (Toronto, Canada) June 24-27 2024. We will formally be soliciting abstracts shortly. Topics of interests include, but are not limited to: - portfolio construction - risk management - insurance - fraud detection - cybersecurity - anti-money laundering - supply chains - systemic risk and contagions The workshop will include a day of tutorials, two days of academic presentations and an industry day. Full details to follow. We look forward to seeing you in Toronto! http://www.fields.utoronto.ca/activities/23-24/complex-networks Best regards, Pierre Miasnikof Workshop General Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From mariya.k.toneva at gmail.com Mon Jan 15 15:06:45 2024 From: mariya.k.toneva at gmail.com (Mariya Toneva) Date: Mon, 15 Jan 2024 21:06:45 +0100 Subject: Connectionists: [Jobs] Open NeuroAI PhD Position Message-ID: We are looking for a PhD candidate to undertake novel research at the intersection of cognitive neuroscience, computational neuroscience, and artificial intelligence. Topic: The PhD research topic will focus on understanding key mechanisms that enable specific cognitive functions in the brain, such as language comprehension, using a combination of computational neuroscience, machine learning, and experimental cognitive neuroscience techniques. The student will develop novel integrations of mechanistic physiological and generative AI-based theories of brain organization, and test these by designing, conducting, and analyzing experiments using advanced neuroimaging and neurostimulation technologies (EEG, fNIRS, TMS, MEG, fMRI, including mobile w/ VR/AR integration). Location: The student will be jointly supervised by: Dr. John D Griffiths , CAMH KCNI & University of Toronto, Canada Dr. Mariya Toneva , Max Planck Institute for Software Systems, Saarbr?cken, Germany This position is jointly hosted by the University of Toronto Max Planck Centre for Neural Science and Technology and the Max Planck Institute for Software Systems in Saarbruecken, Germany. The PhD student will spend time in both locations, deriving full benefit from the two co-supervisors? complementary scientific expertise, academic environments, and local infrastructure. The PhD degree will be officially granted by the University of Toronto (Institute of Biomedical Engineering). All research will be conducted in English, and proficiency in German is not expected or required. Background: Candidates must have a strong computational and quantitative background, and must have experience with programming in Python. Experience with designing, conducting, and analyzing data from neuroimaging (EEG, fNIRS, MEG, fMRI, TMS) experiments is preferred, but not necessary if a strong aptitude and motivation to learn can be shown. Proficiency in spoken and written English and scientific writing is required. Demonstrable knowledge of and interest in the fields of cognitive and computational neuroscience is essential, as is familiarization with the supervisors? research programs and main recent publications (see website links above). Apply: To apply, please send an email to both of the prospective supervisors ( john.griffiths at camh.ca and mtoneva at mpi-sws.org) by January 31, 2024 with the following: - updated CV - brief description of your relevant background and motivation for applying for this position Communicating initial expressions of interest sooner rather than later may be advantageous. Additionally, candidates will be required to submit an official application for a graduate position at the University of Toronto Biomedical Engineering department by February 29, 2024. To learn more, visit https://bme.utoronto.ca/prospective-student/admission-to-graduate-studies/. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tanaka.gouhei at nitech.ac.jp Mon Jan 15 19:59:33 2024 From: tanaka.gouhei at nitech.ac.jp (Gouhei Tanaka) Date: Tue, 16 Jan 2024 00:59:33 +0000 Subject: Connectionists: Extended Deadline: [CFP] WCCI-IJCNN 2024 Special Session on Reservoir Computing Message-ID: Special Session on Reservoir Computing: Progress in Methods, Applications, and Implementations IEEE World Congress on Computational Intelligence (WCCI 2024) International Joint Conference on Neural Networks (IJCNN 2024) 30 June - 5 July 2024, Yokohama (Japan) More info at: https://dyn.web.nitech.ac.jp/en/wcci2024_ss_rc === Important dates === Paper submission deadline (EXTENDED): January 29, 2024 Decision notification: March 15, 2024 Final Paper Submission & Early Registration Deadline: May 1, 2024 === Scope === Reservoir Computing (RC) is a computational framework derived from efficient training methods for recurrent neural network models, which consists of a fixed hidden recurrent layer (called a reservoir) and a trainable output layer (called a readout). The research field of RC has expanded broadly in recent years. First, many advanced RC models and learning methods have been developed to enhance computational performance in temporal pattern recognition while maintaining its low computational cost. Some RC models have been combined with other machine learning techniques, data scientific approaches, and inspirations from neuroscience. Second, the RC approaches have been applied to engineering applications with sensor data under resource/power-constrained conditions such as edge AI systems. Third, physical RC has been actively explored for realizing efficient AI hardware and device in the context of neuromorphic and unconventional computing, e.g., based on photonics, material science, and spintronics. Fourth, mathematical theory and analysis for revealing RC properties have made much progress. In this way, RC is a rapidly growing research topic, while being closely related to machine learning, dynamical systems theory, neuroscience, and bio/natural-computing, and AI hardware. This special session is intended to be a hub for discussion and collaboration within the Neural Networks community, and therefore invites contributions on all aspects of RC, from theory to new models to emerging applications. === Topics === A list of topics relevant to this session includes, but is not limited to, the following: * New Reservoir Computing models and architectures, including Echo State Networks and Liquid State Machines * Hardware, physical, and neuromorphic implementations of Reservoir Computing systems * Learning algorithms in Reservoir Computing * Reservoir Computing in Computational Neuroscience * Reservoir Computing on the edge systems * Novel learning algorithms rooted in Reservoir Computing concepts * New applications of Reservoir Computing, e.g., to images, video and structured data * Federated and Continual Learning in Reservoir Computing * Deep Reservoir Computing neural networks * Theory of complex and dynamical systems in Reservoir Computing * Extensions of the Reservoir Computing framework, such as Conceptors === Submission === (Details in https://dyn.web.nitech.ac.jp/en/wcci2024_ss_rc) 1. Go to "https://edas.info/N31614" 2. Choose "IJCNN, Special Session Papers" 3. In the topics section, choose "Special Session: Reservoir Computing: Progress in Methods, Applications, and Implementations" === Organizers === Andrea Ceni (University of Pisa, Italy), Claudio Gallicchio (University of Pisa, Italy), Ryosho Nakane (The University of Tokyo, Japan), Gouhei Tanaka (Nagoya Institute of Technology, Japan) Sincerely, Organizing team From michael.furlong at uwaterloo.ca Mon Jan 15 13:12:34 2024 From: michael.furlong at uwaterloo.ca (Michael Furlong) Date: Mon, 15 Jan 2024 18:12:34 +0000 Subject: Connectionists: [Meetings] Deadline reminder: 2024 Nengo Summer School Call For Applications Message-ID: Dear colleagues, Please note that the deadline for application submission to the Nengo Summer School, February 1st, 2024, is approaching. [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/vRcN5-0wdQE We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2024*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more? Date and Location: June 2nd to June 14th, 2024 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong at uwaterloo.ca). The school is partly supported by ABR, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Tue Jan 16 04:42:14 2024 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Tue, 16 Jan 2024 09:42:14 +0000 Subject: Connectionists: 2nd CfP 5th workshop on Resources for African Indigenous Language (RAIL) @ LREC-COLING Message-ID: <678eba85017df4c577cd17cc66d5cb2eb655bfc9.camel@nwu.ac.za> The fifth workshop on Resources for African Indigenous Language (RAIL) Colocated with LREC-COLING 2024 https://bit.ly/rail2024 Conference dates: 20-25 May 2024 Workshop date: 25 May 2024 Venue: Lingotto Conference Centre, Torino (Italy) The fifth RAIL workshop website: https://bit.ly/rail2024 LREC-COLING 2024 website: https://lrec-coling-2024.org/ Submission website: https://softconf.com/lrec-coling2024/rail2024/ The fifth Resources for African Indigenous Languages (RAIL) workshop will be co-located with LREC-COLING 2024 in Lingotto Conference Centre, Torino, Italy on 25 May 2024. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. Many African languages are under-resourced while only a few of them are somewhat better resourced. These languages often share interesting properties such as writing systems, or tone, making them different from most high-resourced languages. From a computational perspective, these languages lack enough corpora to undertake high level development of Human Language Technologies (HLT) and Natural Language Processing (NLP) tools, which in turn impedes the development of African languages in these areas. During previous workshops, it has become clear that the problems and solutions presented are not only applicable to African languages but are also relevant to many other low-resource languages. Because these languages share similar challenges, this workshop provides researchers with opportunities to work collaboratively on issues of language resource development and learn from each other. The RAIL workshop has several aims. First, the workshop brings together researchers who work on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop has ?Creating resources for less-resourced languages? as its theme, but submissions on any topic related to properties of African indigenous languages (including non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references. The final camera-ready version of accepted long papers are allowed one additional page of content (up to 9 pages) so that reviewers? feedback can be incorporated. Papers should be formatted according to the LREC- COLING style sheet (https://lrec-coling-2024.org/authors-kit/), which is provided on the LREC-COLING 2024 website (https://lrec-coling-2024.org/). Reviewing is double-blind, so make sure to anonymise your submission (e.g., do not provide author names, affiliations, project names, etc.) Limit the amount of self citations (anonymised citations should not be used). The RAIL workshop follows the LREC-COLING submission requirements. Please submit papers in PDF format to the START account (https://softconf.com/lrec-coling2024/rail2024/). Accepted papers will be published in proceedings linked to the LREC-COLING conference. Important dates: Submission deadline: 16 February 2024 Date of notification: 15 March 2024 Camera ready deadline: 29 March 2024 RAIL workshop: 25 May 2024 Organising Committee Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Muzi Matfunjwa, South African Centre for Digital Language Resources (SADiLaR), South Africa Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From antolikjan at gmail.com Tue Jan 16 03:35:56 2024 From: antolikjan at gmail.com (Jan Antolik) Date: Tue, 16 Jan 2024 09:35:56 +0100 Subject: Connectionists: Postdoc position in computational modeling and neuro-prosthetics in Prague Message-ID: Dear Colleagues, We're pleased to announce a postdoctoral position within the Computational Systems Neuroscience Group (CSNG ) at Charles University, Prague, focusing on computational neuroscience and neuro-prosthetic system design. CSNG is an international, interdisciplinary research group that explores the intricacies of the visual system, sensory coding, and neuro-prosthetic solutions. To do this, we use a range of computational approaches spanning large-scale biologically detailed spiking network models, firing-rate models of development, and modern machine learning techniques. We are a diverse team of computer scientists, physicists, mathematicians, and engineers dedicated to understanding visual perception and its restoration via neuro-prosthetic devices. Multiple project topics are available (the exact topic can be adjusted to the interest and background of the applicant): - Modeling electrical stimulation in a spiking model of the primary visual cortex. The goal of this project is to understand how intra-cortical stimulation can be used to restore vision in blind subjects. - Deep-neural networks in visual neuroscience, especially applications for understanding of visual perception under artificial cortical stimulation. - Study of cortical dynamics of spontaneous or artificially evoked activity in the visual cortex. - Biologically detailed spiking large-scale models of early visual cortical pathway - from Retina to V4. Requirements: Strong computational and analytical skills. Experience in computational modeling, spiking neural networks, machine learning or understanding of electric field propagation in biological mediums are of great advantage but not strictly required.Duration: Initially 2 year contract with possibility to extend to 4 years Funding: Fully funded for 4.0 years Starting date: now Teaching duties: None Monthly salary (gross): ~2900? To apply, send CV and cover letter explaining your interest and how your skills align with our project to: antolik at ksvi.mff.cuni.cz We look forward to hearing from you. Sincerely,J?n Antol?k Assistant Professor Computational Systems Neuroscience Group ( http://csng.mff.cuni.cz/join_us.html) Faculty of Mathematics and Physics (https://www.mff.cuni.cz/) Charles University (https://cuni.cz/UK-1.html) Prague, Czech Republic -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniele.marinazzo at gmail.com Tue Jan 16 03:10:08 2024 From: daniele.marinazzo at gmail.com (Daniele Marinazzo) Date: Tue, 16 Jan 2024 09:10:08 +0100 Subject: Connectionists: Postdoctoral researcher in computational neuroscience and neuroinformatics Message-ID: Dear colleagues I am happy to announce a postdoctoral position at Ghent University, Belgium, aligned with the initiatives of the EBRAINS 2.0 project, funded by the European Commission, with dozens of partners performing top level research across Europe. EBRAINS AISBL is a prominent contributor to the European digital neuroscience research infrastructure ( https://www.ebrains.eu/). Our exciting research program centers around DIGITAL TWIN Brain Models, leveraging neuroimaging data and the power of statistical inference. We aim to enhance scalability and reliability, facilitating the translation of personalized predictive medicine into clinical applications and innovations. Our goal is to seamlessly integrate this workflow into the EBRAINS ecosystem. The successful candidate will contribute to the development of the modeling and simulation framework essential for realizing the Digital Twin vision. More specifically, the selected candidate will contribute to building personalized workflows for biologically and anatomically inspired models for multiple datasets and to exploring different strategies for model inversion (from data to model structure and model parameters), exploiting the range of temporal and spatial scales present in EBRAINS. The outcomes will be integrated with data and models following the openMINDS metadata schemes and according to the BIDS standards. Please find all the info (including how to apply) at the link below https://jobs.ugent.be/job/Ghent-Postdoctoral-researcher-in-computational-neuroscience-and-neuroinformatics-9000/785529902/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From craig.jin at sydney.edu.au Tue Jan 16 04:04:14 2024 From: craig.jin at sydney.edu.au (Craig Jin) Date: Tue, 16 Jan 2024 09:04:14 +0000 Subject: Connectionists: [Job Opening] Postdoc in Spatial Cognition and Audition @University of Sydney Message-ID: Dear Colleagues, We have a postdoc position open at the University of Sydney for an cognitive neuroscientist with fMRI/EEG/MEG experience. You will be working with a dynamic group of researchers at the University of Sydney, University of Technology Sydney and Westmead Hospital. We are exploring the use of non-verbal auditory grammar for spatial cognition and navigation. There is funding for three years. Postdoctoral Research Associate in Fluent Mobility for Visual Impairment Using Auditory Augmentation: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Postdoctoral-Research-Associate-in-Fluent-Mobility-for-Visual-Impairment-Using-Auditory-Augmentation_0113529-1 Please also refer to: https://sites.google.com/view/masa-dec/ Thanks, CRAIG JIN | Head of the Computing and Audio Research Laboratory https://sydney.edu.au/engineering/people/craig.jin.php https://www.linkedin.com/in/craig-jin-2a04b115/ Member of The University of Sydney Nano Institute THE UNIVERSITY OF SYDNEY School of Electrical and Information Engineering, J03 The University of Sydney | NSW | 2006 T +61 2 9351 7208 | M +61 414 817 265 E craig.jin at sydney.edu.au | W sydney.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomg at princeton.edu Tue Jan 16 07:50:24 2024 From: tomg at princeton.edu (Tom Griffiths) Date: Tue, 16 Jan 2024 12:50:24 +0000 Subject: Connectionists: Postdoctoral position in computational cognitive science Message-ID: <7A8D7CBF-DD0E-4526-9410-382F289EE951@princeton.edu> I?m advertising a new postdoctoral position in computational cognitive science, with a particular interest in applications of large language models in cognitive science and use of Bayesian methods and metalearning to understand human cognition and AI systems. Full details appear below. Best wishes, Tom. -- The Department of Computer Science invites applications for a postdoctoral or more senior research position in Computational Cognitive Science, under the direction of Tom Griffiths. Ph.D. is required. Applicants should have a background in cognitive science or a related discipline such as computer science or psychology, with a research agenda focused on using mathematical, computational, and behavioral methods to understand the nature of intelligence. Specific research areas of interest include applications of large language models in cognitive science and use of Bayesian methods and metalearning to understand human cognition and AI systems. Applications will be evaluated on the basis of the applicant's previous accomplishments and their fit with ongoing research projects. Apply at https://www.princeton.edu/acad-positions/position/33061 and submit a cover letter, current curriculum vitae and a description of research interests and possible future directions in the lab (not to exceed one page). Contact information for three referees, who will be asked to comment specifically on your qualifications for the proposed research project. Referees will be contacted directly by email. Review of applications will begin on January 31, 2024. This is a one-year appointment with possibility of renewal. Anticipated start date is July 1, 2024. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. -- Tom Griffiths Henry R. Luce Professor of Information Technology, Consciousness and Culture Departments of Psychology and Computer Science Princeton University http://cocosci.princeton.edu/tom/ From ali at ifi.uio.no Tue Jan 16 06:41:27 2024 From: ali at ifi.uio.no (Ali Ramezani-Kebrya) Date: Tue, 16 Jan 2024 11:41:27 +0000 Subject: Connectionists: Postdoc Position in ML at the University of Oslo Message-ID: [?][?]Postdoc Fellowship in "Joint Physics-informed and Data-driven Complex Dynamical System Solvers" is available in the Department of Informatics at the University of Oslo.[?][?] The fellowship will be for 36 months. Application link: https://www.jobbnorge.no/en/available-jobs/job/255679/dstrain-msca-postdoctoral-fellowships-in-computational-and-natural-sciences-18-positions You can see the project description under Informatics titled "Joint Physics-informed and Data-driven Complex Dynamical System Solvers". The applicants must not have resided or carried out their main activity in Norway for more than 12 months in the 3 years immediately prior to the application deadline. Compulsory national service, short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. Some highlights: We regularly publish in top ML venues. Decent salary 501 200 ? 544 400 NOK/year (55k ? 65k USD/year). No language barrier in Oslo: the University conducts itself in English. Exceptionally generous welfare/childcare/immigration policies in Norway while offering great quality of life and nature! Ali Ramezani-Kebrya Associate Professor Department of Informatics University of Oslo Principal Investigator, SFI Visual Intelligence Norwegian Centre for Knowledge-driven Machine Learning (Integreat) European Laboratory for Learning and Intelligent Systems (ELLIS) Member https://alirk.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 1121 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 1180 bytes Desc: image002.png URL: From craig.jin at sydney.edu.au Tue Jan 16 09:50:41 2024 From: craig.jin at sydney.edu.au (Craig Jin) Date: Tue, 16 Jan 2024 14:50:41 +0000 Subject: Connectionists: [Job Opening] Postdoc in Spatial Cognition and Audition @University of Sydney Message-ID: Dear Colleagues, We have a postdoc position open at the University of Sydney for an cognitive neuroscientist with fMRI/EEG/MEG experience. You will be working with a dynamic group of researchers at the University of Sydney, University of Technology Sydney and Westmead Hospital. We are exploring the use of non-verbal auditory grammar for spatial cognition and navigation. There is funding for three years. Postdoctoral Research Associate in Fluent Mobility for Visual Impairment Using Auditory Augmentation: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Postdoctoral-Research-Associate-in-Fluent-Mobility-for-Visual-Impairment-Using-Auditory-Augmentation_0113529-1 Please also refer to: https://sites.google.com/view/masa-dec/ Thanks, CRAIG JIN | Head of the Computing and Audio Research Laboratory https://sydney.edu.au/engineering/people/craig.jin.php https://www.linkedin.com/in/craig-jin-2a04b115/ Member of The University of Sydney Nano Institute THE UNIVERSITY OF SYDNEY School of Electrical and Information Engineering, J03 The University of Sydney | NSW | 2006 T +61 2 9351 7208 | M +61 414 817 265 E craig.jin at sydney.edu.au | W sydney.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Tue Jan 16 10:50:24 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Tue, 16 Jan 2024 15:50:24 +0000 Subject: Connectionists: ACM UMAP 2024 - Final Call for Full and Short Papers Message-ID: * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://www.um.org/umap2024/call-for-full-and-short-papers/ =============== ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. The proceedings, published by ACM, will be part of the ACM Digital Library. The theme of UMAP 2024 is ?Collaboration and Cooperation for the Greater Good?. Specifically, we welcome submissions that highlight the impact that working together and synergy (such as between academia, industry, influential policy making bodies, committees and communities) can have on solving the world?s biggest problems; the focus is on investigations that capture how user modeling, personalization, and adaptation of (intelligent) systems may influence user behavior, trustful processes and whether new models are required, for building sustainable and inclusive services and solutions that can address critical challenges of our world. While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. As always, contributions from academia, industry, and other organizations discussing open challenges or novel research approaches are expected to be supported by rigorous evidence appropriate to claims (e.g., user study, system evaluation, computational analysis). Important Dates - Paper Abstract Submission: January 22, 2024 (mandatory) - Paper Submission: January 29, 2024 - Notification: March 28, 2024 - Camera-ready Submission: May 9, 2024 - Conference: July 1 ? 4, 2024 The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth). Conference Topics We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and domains. Detailed descriptions and the suggested topics for each track will be available shortly in the extended version of the CFP on this page. ** Personalized Recommender Systems ** This track invites works from researchers and practitioners on recommender systems. In addition to mature research works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems. ** Knowledge Graphs, Semantics, Social and Adaptive Web ** This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and social web. ** Intelligent User Interfaces ** This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. ** Personalizing Learning Experiences through User Modeling ** This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning. ** Fairness, Transparency, Accountability, and Privacy ** Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users, providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users? privacy, beneficial to society, and accountable for their impacts. ** Personalization for Persuasive and Behavior Change Systems ** This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies. ** Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction ** This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms. ** Research Methods and Reproducibility** This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works. ** Submission and Review Process** For UMAP 2024 we encourage two kinds of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the ACM new single-column format: * Long papers should report on substantial contributions of lasting value. The maximum length is 14 pages (excluding references, which do not count towards the limit). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. * Short papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. The maximum length is 7 pages (excluding references, which do not count towards the limit). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session. UMAP uses a double-blind review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. For instance, citations to the authors? prior work should be in the third person. Submissions not abiding by anonymity requirements will be desk rejected. In addition, UMAP 2024 will introduce a new ?Raise Your Voice? stage during evaluation, offering a small window to authors to optionally discuss the initial decision of their submission, enhancing the transparency and quality of the reviewing process. Additional review criteria and submission link will be available shortly on the conference website: https://www.um.org/umap2024. UMAP has a no dual submission policy, which is why full and short paper submissions should not be currently under review at another publication venue. Further, UMAP operates under the ACM Conference Code of Conduct. Grants and Support To help students and early career researchers attend ACM UMAP 2024, we are able to provide several grants for participants at ACM UMAP 2024. * Category 1: Discounted Registration Rates * Category 2: Gary Marsden Travel Awards (GMTA) * Category 3: ACM UMAP 2024 Grants More information can be found in https://www.um.org/umap2024/grants-and-support/. Please refer to the website information, to learn the eligibility and application process for each category. Program Chairs * Panagiotis Germanakos, SAP SE, Germany * Elvira Popescu, University of Craiova, Romania Contact information: umap2024-program at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ali at ifi.uio.no Tue Jan 16 12:32:10 2024 From: ali at ifi.uio.no (Ali Ramezani-Kebrya) Date: Tue, 16 Jan 2024 17:32:10 +0000 Subject: Connectionists: Postdoc Position in ML at the University of Oslo In-Reply-To: References: Message-ID: <3C77A63D-9505-4C65-9A44-E8A585C1271B@uio.no> To be precise, the correct salary range for this position is: 575 400 ? 657 300 NOK/year (55k ? 65k USD/year) From: Ali Ramezani-Kebrya Date: Tuesday, 16 January 2024 at 12:41 To: "connectionists at mailman.srv.cs.cmu.edu" Subject: Postdoc Position in ML at the University of Oslo [?][?]Postdoc Fellowship in "Joint Physics-informed and Data-driven Complex Dynamical System Solvers" is available in the Department of Informatics at the University of Oslo.[?][?] The fellowship will be for 36 months. Application link: https://www.jobbnorge.no/en/available-jobs/job/255679/dstrain-msca-postdoctoral-fellowships-in-computational-and-natural-sciences-18-positions You can see the project description under Informatics titled "Joint Physics-informed and Data-driven Complex Dynamical System Solvers". The applicants must not have resided or carried out their main activity in Norway for more than 12 months in the 3 years immediately prior to the application deadline. Compulsory national service, short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. Some highlights: We regularly publish in top ML venues. Decent salary 501 200 ? 544 400 NOK/year (55k ? 65k USD/year). No language barrier in Oslo: the University conducts itself in English. Exceptionally generous welfare/childcare/immigration policies in Norway while offering great quality of life and nature! Ali Ramezani-Kebrya Associate Professor Department of Informatics University of Oslo Principal Investigator, SFI Visual Intelligence Norwegian Centre for Knowledge-driven Machine Learning (Integreat) European Laboratory for Learning and Intelligent Systems (ELLIS) Member https://alirk.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 1122 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 1181 bytes Desc: image002.png URL: From hocine.cherifi at gmail.com Wed Jan 17 06:05:03 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 17 Jan 2024 12:05:03 +0100 Subject: Connectionists: CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 Message-ID: 13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 We encourage researchers from diverse disciplines to share their insights, engage in discussions, and contribute to the vibrant field of complex networks. Join us in Istanbul for a stimulating exchange of ideas and collaborations that transcend disciplinary boundaries. Submission Deadline: September 3, 2024 Submission Categories: Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Publication Opportunities: Extended versions will be invited for publication in *special issues of international journals:* o PLOS one o PLOS COMPLEX SYSTEMS o Applied Network Science edited by Springer o Social Network Analysis and Mining edited by Springer o Advances in Complex Systems edited by World Scientific o Entropy edited by MDPI o Complex Systems *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks We look forward to your submissions and your participation in COMPLEX NETWORKS 2024! The Organizers Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Wed Jan 17 04:09:57 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Wed, 17 Jan 2024 10:09:57 +0100 Subject: Connectionists: ACDL 2024, 7th Advanced Course on Data Science & Machine Learning - From Deep Learning to Generative AI | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by February 23 Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * #ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts. If you want to learn NLP, Generative AI Transformers, Diffusion Models, Large language models, Vision - Large-scale vision models, Vision and language, Beyond vision and language, Multimodal Foundation Models and much more then take part in ACDL 2024! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2024.icas.events acdl at icas.cc EARLY REGISTRATION: by February 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by February 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lecture(s) "Testing systems intelligence - A systems engineering perspective" * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 5 Lessons on "Introduction on Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Nora Kassner, DeepMind, London, UK "Large Language Models: Life after Pre-training" "Large Language Models: Evaluation" "Large Language Models: Reasoning and Factuality" "Large Language Models: Retrieval augmentation and Tool-use" * Petros Koumoutsakos, Harvard University, USA ?Machine Learning for Modeling and Control of Complex Systems? 1/2 ?Machine Learning for Modeling and Control of Complex Systems? 2/2 ?Solving forward and inverse problems with and without neural networks? ?Bayesian Uncertainty Quantification? * Maria Liakata, The Alan Turing Institute, UK 4 Lessons on "Longitudinal Language Processing with User Generated Content" * Panos Pardalos, University of Florida, USA Lectures 1-2 TBA Topics: Data Science, Application to Neuroscience * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on ?Deep Generative Modelling? * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA 3 Lessons on "Fusing Machine Learning and Optimization for Engineering" * Max Welling, University of Amsterdam, The Netherlands 3 Lessons on "Generalized Belief Propagation Algorithms for Tensor Network Contractions" More Lecturers TBA TUTORIAL SPEAKERS: TBA Each Tutorial Speaker will hold more than four lessons on one or more research topics. PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 e: booking.events at rivadelsole.it w: https://www.rivadelsole.it/en/ https://acdl2024.icas.events/venue/ PAST EDITIONS: https://acdl2024.icas.events/past-editions/ REGISTRATION: https://acdl2024.icas.events/registration/ CERTIFICATE & 8 ECTS: PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. TO PARTICIPATE IN ACDL 2024, all attendants must (1/2) register for the course (by February 23, 2024) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA? (by April 23, 2024); all attendants must stay at the Riva del Sole Resort & SPA. Once accommodation has been booked at Riva del Sole Resort & SPA? the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events at rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use. Anyone interested in participating in ACDL 2024 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors. ACDL 2024 Scientific & Organizing Committees. https://acdl2024.icas.events acdl at icas.cc 7th Advanced Course on Data Science & Machine Learning - ACDL 2024, 10-14 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy. An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders Early Registration: by February 23, 2024 (AoE) The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ 10th International Conference on Learning, Optimization and Data ? LOD 2024, 22?25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod at icas.cc Submission Deadline: March 23 4th Advanced Course and Symposium on Artificial Intelligence and Neuroscience ? ACAIN 2024, 22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain at icas.cc Symposium Submission Deadline: March 23 Early Registration Deadline for the Course: March 23 The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. ICAS - The Interdisciplinary Centre of Advanced Studies https://icas.cc/ *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data ? LOD 2024, *22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod at icas.cc *Submission Deadline: March 23* *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience ? ACAIN 2024,* 22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain at icas.cc *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From claudio.piciarelli at uniud.it Wed Jan 17 04:59:03 2024 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Wed, 17 Jan 2024 09:59:03 +0000 Subject: Connectionists: Call for Competition - Layout Segmentation of Ancient Manuscripts In-Reply-To: References: Message-ID: (apologies for multiple copies) =================================== CALL FOR COMPETITION: SAM 2024 https://ai4ch.uniud.it/udiadscomp/ =================================== We are glad to announce SAM: International Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts, in conjunction with the 18th International Conference on Document Analysis and Recognition ICDAR 2024. Competition Overview: Layout segmentation is a critical aspect of Document Image Analysis, particularly when it comes to ancient manuscripts. It consists in decomposing the document in several regions representing title, main text, paratext, etc.. We invite the research community to address this task on U-DIADS-Bib, a novel dataset of fully-labelled ancient manuscripts. Competition Tasks: We propose two separate tasks. Participants can try only one of them or both. * Few-Shot Segmentation: participants are asked to develop a layout segmentation system using only three images for each manuscript as a training set * Many-Shot Segmentation: participants have access to the full dataset (except for the private data that will be used for the final evaluation) Important Dates: * Beginning of Track 1: January 15, 2024 * Deadline of Track 1: March 3, 2024 * Beginning of Track 2: Match 4, 2024 * Deadline of Track 2: March 31, 2024 Prizes: Winners of each task will be eligible for a cash prize of 300 EUR sponsored by CVPL - Italian Association for Computer Vision, Pattern Recognition and Machine Learning, IAPR Italian chapter. For any additional information, please visit the website: https://ai4ch.uniud.it/udiadscomp/ Organizers: Silvia Zottin, zottin.silvia at spes.uniud.it Axel De Nardin, denardin.axel at spes.uniud.it Claudio Piciarelli, claudio.piciarelli at uniud.it Gian Luca Foresti, gianluca.foresti at uniud.it Emanuela Colombi, emanuela.colombi at uniud.it AI4CH - Artificial Intelligence for Cultural Heritage Lab, University of Udine. https://ai4ch.uniud.it/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.gleeson at ucl.ac.uk Wed Jan 17 10:59:31 2024 From: p.gleeson at ucl.ac.uk (Padraig Gleeson) Date: Wed, 17 Jan 2024 15:59:31 +0000 Subject: Connectionists: Announcing Open Source Brain v2.0: NetPyNE, NWB Explorer and JupyterLab; ModelDB models and DANDI Archive datasets Message-ID: We would like to announce a major new version of the Open Source Brain platform (v2.0) we have been working on which has a range of new features for you to try: https://v2.opensourcebrain.org. You can create cloud based, persistent workspaces which contain models and data from a number of sources (https://v2.opensourcebrain.org/repositories) including: - All *OSBv1* projects incorporating NeuroML and PyNN models - All *ModelDB* entries - All *BRAIN Initiative DANDI Archive* datasets containing NWB files Inbuilt applications which can open these workspaces include: *- NetPyNE UI*, a 3D graphical application for neuronal simulations (NeuroML compliant) *- NWB Explorer* for opening and visualising data in NWB files *- JupyterLab*, a full interactive Python environment, with a number of computational neuroscience, data analysis and machine learning packages preinstalled. Full documentation is at https://docs.opensourcebrain.org and a Guided Tour introducing the main features of the platform is here . We are very keen for new users to try out our platform. Please note that you will require a different username/password for OSBv2 from OSBv1. We are also very happy to make dedicated resources available on the platform to support classes/tutorials/computational neuroscience schools. The Open Source Brain Initiative aims to: - Make neuroscience experimental data and computational models from around the world easily findable in a single location - Provide a free to use, collaborative, web based, interactive computing platform that integrates state of the art software tools for accessing and working with large scale data sets and computational models. - Encourage the use of standards for making research outputs more FAIR (Findable, Accessible, Interoperable and Reusable): OSBv2 supports NeuroML for models and NWB for data. Please get in contact if you would like to help us with any of these goals! Regards, The OSB Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From wduch at umk.pl Wed Jan 17 11:33:57 2024 From: wduch at umk.pl (Wlodek Duch) Date: Wed, 17 Jan 2024 17:33:57 +0100 Subject: Connectionists: Machine Learning and Signal Processing for Brain or Behavioral Analysis, WCCI2024, deadline 29.01.2024 In-Reply-To: <88b1153a-a32e-44bc-9fb4-2a0fb7af3819@gmail.com> References: <88b1153a-a32e-44bc-9fb4-2a0fb7af3819@gmail.com> Message-ID: <3b91bb3e-1f5f-42bf-a1b8-5e5aa7c8902b@umk.pl> An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Wed Jan 17 14:12:11 2024 From: nsmattei at gmail.com (Nicholas Mattei) Date: Wed, 17 Jan 2024 13:12:11 -0600 Subject: Connectionists: Call for Papers: The 6th Games, Agents, and Incentives Workshop (GAIW)@AAMAS 2024 Message-ID: TL;DR: Webpage: https://preflib.github.io/gaiw2024 - Submission Deadline: February 26, 2024 (AoE). - Acceptance Notification: March 28, 2024. - Camera Ready: April 15, 2024 (AoE). - Workshop: May 6 or 7, 2024 (TBA). Call for Papers: We invite submissions to the 6th iteration of the Games, Agents and Incentives Workshop, co-located with AAMAS 2024 in Auckland, New Zealand. Games, Agents and Incentives is a confederated workshop which focuses on agents and incentives in AI. In particular, it promotes approaches that deal with game theory (cooperative and non-cooperative), social choice, and agent-mediated e-commerce aspects of AI systems. The confederated workshop merges multiple workshops that have been associated with AAMAS in the past, which considered different aspects of the general interplay between AI and economics: ? CoopMAS: Cooperative Games in Multi-agent Systems ? AMEC: Agent-Mediated Electronic Commerce ? EXPLORE: Exploring Beyond the Worst Case in Computational Social Choice Over the past two decades, the focus of agent incentives in decentralised and centralised AI systems has increased dramatically. These issues come up when designing preference aggregation mechanisms and markets; computing equilibria and bidding strategies; facilitating cooperation among agents; and fairly dividing resources. ********************************************************** PAPER SUBMISSION ********************************************************** Authors should submit full papers electronically in PDF format at https://cmt3.research.microsoft.com/GAIW2024 Formatting Guidelines: Please format papers according to the AAMAS 2024 format (author kit ). Optionally, one may submit in LNCS format as well (LaTeX template). Paper Length: Papers can be at most 8 pages long in AAMAS format, or 12 pages long in LNCS format. Additional pages may be used for references. Supplemental material can be appended at the end of the paper. However, reviewers are instructed to make their evaluations based on the main submission, and are not obligated to consult the supplemental material. Multiple Submissions: To widen participation and encourage discussion, there will be no formal publication of workshop proceedings. We will, however, post the accepted papers online to the benefit of the participants to the workshop. Therefore, submission of preliminary work and papers to be submitted or in preparation for submission to other major venues in the field are encouraged. Past Submissions: In order to strike a balance between new work and work that may have been presented, but not widely seen, we ask that if authors want to submit published work they do so non-anonymously and clearly indicate when and where the work was published. We will only accept work which has been published in the last calendar year (e.g., IJCAI 2023, NeurIPS 2023, AAAI 2023, AAAI 2024 and any conference held strictly after February 2023). We invite papers on topics of game theory, mechanism design, fair allocation, computational social choice, and their applications to multi-agent systems: - Algorithmic mechanism design - Auctions - Behavioral Game Theory - Bounded rationality - Cooperative Games - Computational advertising - Computational aspects of equilibria - Computational social choice - Coalitions, coordination, collective action, and cooperation - Economic aspects of security and privacy - Economic aspects of distributed and network computing - Equilibrium computation - Empirical approaches to e-market - Fairness (in ML & elsewhere) - Fair Division - Incentives in machine learning - Information and attention economics - Learning in games (e.g., solution concepts and equilibria) - Matching and Matching Markets - Negotiation - Price differentiation and price dynamics - Social networks - Trading agent design and analysis - Uncertainty in AI and economics Best Presentation Award: The organizing committee of GAIW will be giving two awards (first-place and runner up) for best paper presentations. The award criteria include the clarity of presentation, the level of engagement, the content, and discussion handline. Inquiries: If you have any questions, direct them to alan.tsang at carleton.ca. ********************************************************** IMPORTANT DATES ********************************************************** - Submission Deadline: February 26, 2024 (AoE). - Acceptance Notification: March 28, 2024. - Camera Ready: April 15, 2024 (AoE). - Workshop: May 6 or 7, 2024 (TBA). ********************************************************** ORGANIZATION ********************************************************** Program Chairs Ben Abramowitz, Tulane University Haris Aziz, UNSW Sydney and Data61 John P. Dickerson, University of Maryland Hadi Hosseini, Penn State University Nicholas Mattei, Tulane University Svetlana Obraztsova, Carleton University Zinovi Rabinovich, Carleton University Alan Tsang, Carleton University Tomasz W?s, Penn State University -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 865 5782 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Thu Jan 18 03:43:34 2024 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Thu, 18 Jan 2024 08:43:34 +0000 Subject: Connectionists: Call for applications for Systems Vision Science Virtual Summer School & Symposium, June 19 -July 12, 2024 Message-ID: <490f4fcf27b74146a31dbe8845141f09@tuebingen.mpg.de> Systems Vision Science Virtual Summer School & Symposium: June 19th - July 12th, 2024 -------------------------------- Applications are invited for a virtual edition of the Systems Vision Science Summer School and Symposium that took place in Max Planck Institute for Biological Cybernetics in Tuebingen, Germany in August 2023 . This year, the virtual edition enables students to attend from afar by formal lectures via Zoom and informal and social communications via a Slack channel. Systems Vision Science combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. This summer school is designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models. The syllabus content will be very similar to the edition in 2023, the learning format, the delivery, and social interactions will be adjusted to suit the virtual format. Experience or knowledge in (A) computational methods, (B) visual psychophysics, and (C) vision neuroscience, is not required. However, experience in at least one of (A), (B), and (C), and a readiness to learn, is expected. The Summer School will be followed by a Systems Vision Science Virtual Symposium on July 12th. All admitted summer school students will be invited to attend this symposium and are encouraged to submit for a presentation at the symposium. The symposium will also feature two invited keynote presentations. A certificate of completion of the summer school course will be provided after the student's successful completion of the summer school. -------------------------------- Important Dates: March 31, 2024 Deadline for applications April 12, 2024 Notification of acceptance April 29, 2024 Registration fees due June 19 - Virtual Systems Vision Science Summer School takes place July 10, 2024 (formal lectures via Zoom and informal and social communications via a Slack channel) July 12, 2024 Virtual Systems Vision Science Symposium takes place (3 -7 pm German time) -------------------------------- Please click here to find more details and to apply by March 31, 2024. Summer School admission will be based on interest/motivation and prior knowledge/experience of the applicants, and on how much the applicants could benefit from participation. Please direct inquiries to svs.summerschool at tue.mpg.de -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From efipatm at gmail.com Thu Jan 18 09:34:16 2024 From: efipatm at gmail.com (Efi) Date: Thu, 18 Jan 2024 16:34:16 +0200 Subject: Connectionists: CALL for Spring 2024 International AI Doctoral Academy (AIDA) course proposals Message-ID: Dear distinguished AI Professor or Senior Scientist (PhD holder), the International AI Doctoral Academy (AIDA) aims to become a reference initiative for AI education in Europe and implement mechanisms for inter-university sharing of AI educational assets at PhD-level. As part of the program, AIDA offers a series of courses on Artificial Intelligence and related fields given by distinguished lecturers. *We invite you to contribute to this initiative for the definition of the AIDA Spring 2024 semester program*. You can participate in the AIDA program by offering new or opening-up existing courses targeted to AIDA students* or other students worldwide according to the participation terms of your own organization. Short/Very Short course formats (5-16 hours) are typically encouraged, while semester courses, or asynchronous mode web courses will be considered as well. Accepted courses will be listed on AIDA website ( https://www.i-aida.org/) and will be advertised for free with the support of AIDA dissemination channels. Proposals for courses for the AIDA Spring 2024 semester program should be sent to: Prof. Prof. Stefano Berretti stefano.berretti at unifi.it, and Ms. Efi Patmanidou epatman at csd.auth.gr no later than *January 31st, 2024* and will be evaluated by the AIDA Committee by *February 10th, 2024*. Proposals for AIDA Courses should include (pls, fill in the attached document): *Course title:* *Lecturer name & affiliation:* *Host Institution:* *Content and organization: *Course details about the content. 1 paragraph *Level: *(Undergraduate/Postgraduate) *Course Duration: *Hours *Course Type: *(Short/Semester/Lecture series/Seasonal School*)* *Participation terms: **Registration fee policy for external (non-AIDA) students*, e.g., free of charge or fee of ??? Euros. *Special terms for AIDA students*, e.g., discount 50% or free for X number of AIDA students. *Add text for a) non-AIDA student registration and AIDA student registration/enrollment, as in (6) below.* *Lectures plan: *Days/time *Proposed schedule: *Start date ? End date *Language: *English/Other *Modality: *Online/in person *Notes: *Are there exams? Details on how to successfully complete the course. 1-2 sentences. *Course Link:* *AIDA students may be PhD students, post-doc researchers, possibly qualified MSc students or professionals of AIDA Members Best regards, Stefano Berretti AIDA course planning _______________________________ Prof. Stefano Berretti, Ph.D. Media Integration and Communication Center (MICC) & Department of Information Engineering (DINFO) University of Florence via S. Marta 3 - 50139, Florence - ITALY email: stefano.berretti 'at' unifi.it phone: +39 055 2758529 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: AIDA COURSE APPLICATION FORM.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 21199 bytes Desc: not available URL: From michiel.straat at uni-bielefeld.de Thu Jan 18 14:07:38 2024 From: michiel.straat at uni-bielefeld.de (Michiel Straat) Date: Thu, 18 Jan 2024 20:07:38 +0100 Subject: Connectionists: Paper deadline extended until January 29: Special Session on Emergent Phenomena in Deep Representations and Large Language Models @IJCNN 2024 & IEEE WCCI 2024 Message-ID: <4a1b1812-33bd-4777-a6d6-bf9bd59111de@uni-bielefeld.de> Dear colleagues, The paper deadline for the special session has been extended until January 29. Please find the call for papers below or visit the website: https://sites.google.com/view/emergenn/ We are looking forward to your contributions. Best wishes, On behalf of the Organising Committee Michiel Straat ------------------------------------------------------ Call for Papers: Special Session on Emergent Phenomena in Deep Representations and Large Language Models @IJCNN 2024 & IEEE WCCI 2024: Deep learning models trained on large datasets have shown spectacular performance in a wide range of tasks demonstrated by current applications of Large Language Models. However, recent works have shown that the abilities large machine learning models acquire often emerge unpredictably with increasing model complexity or training dataset size. These emergent phenomena include the unexpected appearance of abilities for which the model was not explicitly trained, but they might also be related to unexpected performance boosts due to the increased model complexity. Emergent phenomena are not always beneficial: larger models may pick up new biases from the training data or start hallucinating. To move towards increasingly sustainable, reliable, and explainable applications of AI systems, it is necessary to increase the understanding of the mechanisms surrounding emergent phenomena. Moreover, this effort provides increased insight into the learning process behind the acquisition of abilities of large models to perform specific tasks. Important research questions relate to the definition of emergent phenomena,? their causes (what controls which abilities are acquired and when?), training efficiency, and training data quality (e.g., acquiring desired abilities with less computational effort), prompting strategies to get or test for desired model behaviour (e.g., a chain of thought), and further verification methods of model abilities and properties. The primary goal of this special session is (i) to discuss the emergent abilities and risks in deep neural networks and representations from very different angles and (ii) facilitate networking and encourage collaboration between various research fields that approach this issue from different perspectives, like computational linguistics, ethics in AI, computer science, physics, etc. Topics of interest include, but are not limited to: ??? ???? The definition of emergence in the context of NLP and ML ??? ???? Prompting strategies ??? ???? Physics-based/inspired analyses (e.g. phase transitions in ML models) ??? ???? Explainability and interpretability (XAI) ??? ???? Evaluation measures for model ability, monitoring strategies, assessment of model abilities (e.g. technical or psychology-based) ??? ???? Knowledge distillation, model pruning, energy-efficient models. ??? ???? Mitigation strategies for emergent risks and model deterioration. ??? ???? Fine-tuning and Retrieval-augmented generation (RAG) ??? ???? Papers focusing on specific emergent phenomena (reasoning, creativity, double descent phenomena etc.) The website for the call for papers is accessible at https://sites.google.com/view/emergenn/call-for-papers Organising Committee: ------------------------------ ??? ???? Dr. ?zge Alacam (Ludwig-Maximilian University & Uni Bielefeld, Germany) ??? ???? Dr. Michiel Straat (Uni Bielefeld, Germany) ??? ???? Prof. Dr. Hinrich Sch?tze (Ludwig-Maximilian University, Germany) ??? ???? Prof. Dr. Alessandro Sperduti (University of Padova, Italy) Important Dates: ------------------------------ ??? ???? January 29, 2024???????? - Paper Submission Deadline ??? ???? March 15, 2024?????????? - Notification of Acceptance ??? ???? May 1, 2024???????????????? - Camera-ready Deadline & Early Registration Deadline ??? ???? June 30 - July 5, 2024 - Main Conference (IEEE WCCI 2024, Yokohama, Japan) * All deadlines are 11:59 PM UTC-12:00 ("anywhere on Earth") Submission Format and Platform: ------------------------------ ??? ???? Submissions will be through the IEEE WCCI 2024 Submission page. ??? ???? Each paper is limited to 8 pages, including figures, tables, and references. Please refer to the author guidelines provided by IEEE WCCI 2024 ??? ???? Please specify during the submission that your paper is intended for the Special Session: Emergent Phenomena in Deep Representations and Large Language Models. ??? ???? Special session webpage: https://sites.google.com/view/emergenn/call-for-papers ??? ???? IEEE WCCI 2024 webpage: https://2024.ieeewcci.org/ Contact information: ------------------------------ ??? ???? ?zge Alacam : oezge.alacam at uni-bielefeld.de ??? ???? Michiel Straat : mstraat at techfak.uni-bielefeld.de From d.goodman at imperial.ac.uk Thu Jan 18 11:13:44 2024 From: d.goodman at imperial.ac.uk (Goodman, Daniel F M) Date: Thu, 18 Jan 2024 16:13:44 +0000 Subject: Connectionists: new neuroscience course for people from machine learning Message-ID: Hi everyone, We made a free, open course on neuroscience for people with a machine learning or other quantitative background. You can use it to get started in computational neuroscience or just to indulge your neurocuriousity. I believe that neuroscience and ML can learn from each other and do better together than on their own. The course has 34 short videos from introductory topics right up to recent discoveries we still don't fully understand. We also have practical exercises focussed on open ended discovery, fully compatible with Google Colab. Check out the course website at: https://neuro4ml.github.io/ Over the next year, I'll be turning this into an 'interactive textbook' with videos, text and runnable code in one place, and welcoming contributions on new topics, corrections, etc. through GitHub issues. All our materials are freely licensed for reuse in your own courses too. Why this new course? There's a lot of intro neuroscience courses out there, and a lot of ML for neuroscientists, but I wanted this one to be specifically for quantitative people who are curious about the brain, interested in how it might be similar and different to ML. We hope you'll enjoy it! Thanks! Dan Goodman and Marcus Ghosh Imperial College London -------------- next part -------------- An HTML attachment was scrubbed... URL: From wduch at umk.pl Fri Jan 19 04:20:59 2024 From: wduch at umk.pl (Wlodek Duch) Date: Fri, 19 Jan 2024 10:20:59 +0100 Subject: Connectionists: =?utf-8?q?Juniors/senior_positions_at_=E2=80=9CDy?= =?utf-8?q?namics=2C_Mathematical_Analysis_and_Artificial_Intelligence?= =?utf-8?q?=E2=80=9D_Center=2C_Nicolaus_Copernicus_University=2C_Poland?= In-Reply-To: <5c935600-2487-46c7-8144-d3b9f23ed972@gmail.com> References: <5c935600-2487-46c7-8144-d3b9f23ed972@gmail.com> Message-ID: <8a86f7f9-6814-4df2-889a-e5dc22a4c5cc@umk.pl> An HTML attachment was scrubbed... URL: From A.Visser at uva.nl Fri Jan 19 05:25:19 2024 From: A.Visser at uva.nl (Arnoud Visser) Date: Fri, 19 Jan 2024 10:25:19 +0000 Subject: Connectionists: Call for Papers: RoboCup International Symposium 2024 - new submission data In-Reply-To: References: Message-ID: Call for papers - New submission date in April RoboCup International Symposium 2024 https://2024.robocup.org/?page_id=2734 Monday 22 July 2024 Eindhoven, Netherlands. The 27th RoboCup International Symposium will be held on 22 July 2024, in conjunction with RoboCup 2024 (15 July to 21 July 2024), in Eindhoven, The Netherlands. We call for submissions of papers reporting innovative, original research with relevance to areas of robotics and artificial intelligence as listed below. Within the described scope of topics, we also encourage submissions of high-quality overview articles, papers describing real-world research, and papers reporting theoretical results. Researchers are invited to submit their work independently of whether they participate in the RoboCup competitions or have a RoboCup team. The symposium will be held in person at the Evoluon Conference Center in Eindhoven. In addition to the regular track with regular research papers, there is the development track encouraging reports on innovative hardware developments, software frameworks, and open-source releases of software components. A review of papers describing these contributions will be based on technical aspects and benefits to the practice of communities working in the above fields in general and RoboCup in particular. IMPORTANT DATES Submission of full papers: 8 April 2024 Notification to authors: 22 May 2024 RoboCup Symposium 2024: 22 July 2024 (RoboCup on 15-21 July 2024) SUBMISSION AND PROCEEDINGS All papers will be peer-reviewed and evaluated by members of the senior program committee. The proceedings of the RoboCup International Symposium will be published and archived within the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series by Springer-Verlag after the conference. Papers should be formatted following the LNAI author guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and must be electronically submitted through Springer's electronic-submission system EquinOCS (https://equinocs.springernature.com/service/RoboCup2024). Submissions are limited to 12 pages including references. The LNAI author guidelines site contains a Springer's proceedings LaTeX template (v2.23), an older version of this template (v2.21) is also available in Overleaf: (https://www.overleaf.com/latex/templates/springer-conference-proceedings-template-updated-2022-01-12/wcvbtmwtykqj) TOPICS Topics of interest include, but are not limited to: * Robot Hardware and Software - mobile robotics - humanoid robotics - sensors and actuators - embedded and mobile devices - robot construction and new materials - robot system integration - robot software architectures - robot programming environments and languages - real-time and concurrent programming - robot simulators - sim2real learning * Perception and Action - 3D perception - distributed sensor integration - sensor noise filtering - real-time image processing and pattern recognition - motion and sensor models - sensory-motor control - robot kinematics and dynamics - high-dimensional motion control * Robot Cognition and Learning - world modelling and knowledge representation - learning from demonstration and imitation - localisation, navigation, and mapping - planning and reasoning - decision making under uncertainty - neural systems and deep learning - complex motor skill acquisition - reinforcement learning and optimisation - motion and sensor model learning * Human-Robot Interaction - robot social intelligence - fluency of interaction - speech synthesis and natural language generation - natural language recognition - explainable robot behaviours - emotion recognition and reaction - understanding human intent and behaviour - safety, security and dependability - enabling humans to predict robot behaviour * Multi-Robot Systems - team coordination methods - communication protocols - learning and adaptive systems - teamwork and heterogeneous agents - dynamic resource allocation - adjustable autonomy * Education and Edutainment - robotics and artificial intelligence education - educational robotics - robot kits and programming tools - robotic entertainment * Applications and Benchmarking - search and rescue robots - robot surveillance - service and social robots - robots at home, at work and in public spaces - robots in the real world - performance metrics - human-robot interaction DEVELOPMENT TRACK To encourage open-source release of hardware and software systems, the RoboCup International Symposium has included a development track in recent years. In 2024, we expand the scope of this track to include datasets and benchmarks. We encourage the submission of papers describing open-source hardware and software, tools and frameworks that facilitate development of robotics hardware and software, datasets that enable new robotic capabilities, as well as benchmarks that establish reproducible test beds and performance metrics to advance research. If applicable, contributions to the special track should include evidence of the released system or dataset, and highlight past, ongoing, and/or potential future impacts on the RoboCup community. A review of these contributions will be based on technical merit and benefits to the RoboCup community, and the research topics listed above. PROGRAM CO-CHAIRS Hiroyuki Okada (Tamagawa University, Japan) Elena Torta (Eindhoven University of Technology, NL) Josiah Hanna (University of Wisconsin, USA ) Edna Barros (Federal University of Pernambuco, Brazil) LOCAL ORGANIZERS Elena Torta (Eindhoven University of Technology, NL) ?m?r Arslan (Eindhoven University of Technology, NL) Femke van Beek (Eindhoven University of Technology, NL) Arnoud Visser (University of Amsterdam, NL) CONTACT You can contact via the PC chairs via the contact button in EquinOCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.DiCosmo at unibz.it Fri Jan 19 08:58:34 2024 From: Francesco.DiCosmo at unibz.it (Di Cosmo Francesco) Date: Fri, 19 Jan 2024 13:58:34 +0000 Subject: Connectionists: 2nd Call for Papers -- ESSLLI 2024 Student Session Message-ID: (apologies for potential cross-posting) 35th European Summer School in Logic, Language and Information Student session CfP 29 July ? 9 August 2024, Leuven, Belgium https://2024.esslli.eu/ 2nd Call for Papers -- Student Session ========================== ========================== Extended CfP: https://2024.esslli.eu/. Important Dates ============ Paper submission deadline: March 1, 2024 Notification of acceptance: May 1, 2024 Camera-ready submission: June 1, 2024 Event: July 29 - August 9, 2024 Submission link: https://easychair.org/conferences/?conf=esslli2024 (make sure to choose the Student Session track). About ===== The Student Session of the 35th European Summer School in Logic, Language, and Information (ESSLLI) will take place at ESSLLI 2024, on 29 July - 9 August 2024 in Leuven, Belgium. We invite submissions of original, unpublished work from students in any area related to Logic & Language, Language & Computation, or Logic & Computation in the form of long (8 pages) or short (4 pages) papers (including references, figures, etc.). Submissions will be reviewed by several experts in the field. Accepted long papers will be presented as talks, while short papers will be presented as posters. This is an excellent opportunity for students to receive valuable feedback from expert readers and to present their work to a diverse audience. Short papers are especially suited for smaller or in-progress research works. See the extended Call for Papers at the ESSLLI 2024 webpage for the submission and publication policies: https://2024.esslli.eu/. Awards ====== For both long and short papers, the best contributions (submission plus presentation) will receive an award. In previous years Springer has supported the ESSLLI Student Session by offering prizes of vouchers for Springer books. We aim to offer the same prizes this year. Such prizes will be awarded based on the content and quality of the paper and the presentation at ESSLLI. The ideas presented should be novel and promising. The presentation at ESSLLI should be adapted to the wide variety of backgrounds that ESSLLI participants come from: everybody should be able to learn/understand something new. Registration ========= Participation, including presentation, in the Student Session requires an ESSLLI 2024 registration at: https://2024.esslli.eu/ Depending on the budget, student grants may be available. Student Session Committee ===================== Session chairs ------------------- Francesco Di Cosmo (Free University of Bozen-Bolzano) John Lindqvist (University of Bergen) Language and Computation Track (LaCo) ------------------------------- Jia Ren (University of Massachusetts Amherst) Jiaxing Yu (Rutgers University) Tran Thi Hong Hanh (Jozef Stefan Institute and University of La Rochelle) Language and Logic Track (LaLo) ------------------------- Emil Eva Rosina (Ruhr-Universit?t Bochum) Tijana ?ukovi? (University of Belgrade) Valeria Gradimondo (University Paris Cit?) Logic and Computation Track (LoCo) ---------------------------- Alex De Klerck (KU Leuven) Sreehari Kalloormana (City University of New York) Tephilla Prince (Indian Institute of Technology Dharwad) -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Sat Jan 20 15:57:48 2024 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Sat, 20 Jan 2024 20:57:48 +0000 Subject: Connectionists: (CfP) CVPR 2024: 6th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) In-Reply-To: References: Message-ID: Dear Colleagues, Please find below the invitation to contribute to the 6th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024. (1): The Competition is split into the below five Challenges: * Valence-Arousal Estimation Challenge * Expression Recognition Challenge * Action Unit Detection Challenge * Compound Expression Recognition Challenge * Emotional Mimicry Intensity Estimation Challenge The first 3 Challenges are based on an augmented version of the Aff-Wild2 database, which is an audiovisual in-the-wild database of 594 videos of 584 subjects of around 3M frames; it contains annotations in terms of valence-arousal, expressions and action units. The 4th Challenge is based on C-EXPR-DB, which is an audiovisual in-the-wild database and in total consists of 400 videos of around 200K frames; each frame is annotated in terms of compound expressions. The last Challenge is based on the Hume-Vidmimic2 dataset, which is a multimodal dataset of about 75 hours of video recordings of 2222 subjects; it contains continuous annotations for the intensity of 7 emotional experiences. Participants are invited to participate in at least one of these Challenges. There will be one winner per Challenge; the top-3 performing teams of each Challenge will have to contribute paper(s) describing their approach, methodology and results to our Workshop; the accepted papers will be part of the CVPR 2024 proceedings; all other teams are also encouraged to submit paper(s) describing their solutions and final results; the accepted papers will be part of the CVPR 2024 proceedings. More information about the Competition can be found here. Important Dates: * Call for participation announced, team registration begins, data available: 13 January, 2024 * Final submission deadline: 18 March, 2024 * Winners Announcement: 25 March, 2024 * Final paper submission deadline: 30 March, 2024 * Review decisions sent to authors; Notification of acceptance: 10 April, 2024 * Camera ready version deadline: 14 April, 2024 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Panagiotis Tzirakis, Hume AI Alan Cowen, Hume AI (2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation-synthesis and modelling of face, body, gesture, speech, audio, text and language while embracing the most advanced systems available for such in-the-wild (i.e., in unconstrained environments) analysis, and across modalities like face to voice. In parallel, this Workshop will solicit contributions towards building fair, explainable, trustworthy and privacy-aware models that perform well on all subgroups and improve in-the-wild generalisation. Original high-quality contributions, in terms of databases, surveys, studies, foundation models, techniques and methodologies (either uni-modal or multi-modal; uni-task or multi-task ones) are solicited on -but are not limited to- the following topics: i) facial expression (basic, compound or other) or micro-expression analysis ii) facial action unit detection iii) valence-arousal estimation iv) physiological-based (e.g.,EEG, EDA) affect analysis v) face recognition, detection or tracking vi) body recognition, detection or tracking vii) gesture recognition or detection viii) pose estimation or tracking ix) activity recognition or tracking x) lip reading and voice understanding xi) face and body characterization (e.g., behavioral understanding) xii) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xiii) group understanding via social cues (e.g., kinship, non-blood relationships, personality) xiv) video, action and event understanding xv) digital human modeling xvi) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xvii) violence detection xviii) autonomous driving xix) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases xx) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases xxi) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for all afore mentioned cases Accepted workshop papers will appear at CVPR 2024 proceedings. Important Dates: Paper Submission Deadline: 30 March, 2024 Review decisions sent to authors; Notification of acceptance: 10 April, 2024 Camera ready version 14 April, 2024 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Panagiotis Tzirakis, Hume AI Alan Cowen, Hume AI In case of any queries, please contact d.kollias at qmul.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, MIEEE, MBMVA, MAAAI, AMIARP, FHEA Lecturer (Assistant Professor) in Artificial Intelligence Member of Multimedia and Vision (MMV) research group Member of Queen Mary Computer Vision Group Member of Health Data in Practice (HDiP) Theme Associate Member of Centre for Advanced Robotics (ARQ) Academic Fellow of Digital Environment Research Institute (DERI) School of EECS Queen Mary University of London ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.davidgriffiths at gmail.com Fri Jan 19 13:38:19 2024 From: j.davidgriffiths at gmail.com (John Griffiths) Date: Fri, 19 Jan 2024 13:38:19 -0500 Subject: Connectionists: PhD Position in computational neuroscience - Max Planck Toronto (J. Griffiths) / Saarbrucken (M. Toneva) Message-ID: We are looking for a PhD candidate to undertake novel research at the intersection of cognitive neuroscience, computational neuroscience, and artificial intelligence. *Topic* The PhD research topic will focus on understanding key mechanisms that enable specific cognitive functions in the brain, such as language comprehension, using a combination of computational neuroscience, machine learning, and experimental cognitive neuroscience techniques. The student will develop novel integrations of mechanistic physiological and generative AI-based theories of brain organization, and test these by designing, conducting, and analyzing experiments using advanced neuroimaging and neurostimulation technologies (EEG, fNIRS, TMS, MEG, fMRI, including mobile w/ VR/AR integration). *Location* The student will be jointly supervised by: Dr. John D Griffiths , CAMH KCNI & University of Toronto, Canada Dr. Mariya Toneva , Max Planck Institute for Software Systems, Saarbr?cken, Germany This position is jointly hosted by the University of Toronto Max Planck Centre for Neural Science and Technology and the Max Planck Institute for Software Systems in Saarbruecken, Germany. The PhD student will spend time in both locations, deriving full benefit from the two co-supervisors? complementary scientific expertise, academic environments, and local infrastructure. The PhD degree will be officially granted by the University of Toronto (Institute of Biomedical Engineering). All research will be conducted in English, and proficiency in German is not expected or required. *Background* Candidates must have a strong computational and quantitative background, and must have experience with programming in Python. Experience with designing, conducting, and analyzing data from neuroimaging (EEG, fNIRS, MEG, fMRI, TMS) experiments is preferred, but not necessary if a strong aptitude and motivation to learn can be shown. Proficiency in spoken and written English and scientific writing is required. Demonstrable knowledge of and interest in the fields of cognitive and computational neuroscience is essential. Applicants should familiarize themselves with the two supervisors? respective research programs and main recent publications, and indicate what from this work is particularly in line with their academic interests *(see website links above and contents therein)*. *Apply* To apply, please send an email to both of the prospective supervisors ( john.griffiths at camh.ca and mtoneva at mpi-sws.org) by January 31, 2024 with the following: - updated CV - description of your relevant background and motivation for applying for this position Communicating initial expressions of interest sooner rather than later may be advantageous. Additionally, candidates will be required to submit an official application for a graduate position at the University of Toronto Biomedical Engineering department by February 29, 2024. To learn more, visit https://bme.utoronto.ca/prospective-student/admission-to-graduate-studies/. -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry & Institute of Medical Sciences, University of Toronto www.grifflab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From falza094 at uottawa.ca Fri Jan 19 22:09:31 2024 From: falza094 at uottawa.ca (Fatimah Alzamzami) Date: Sat, 20 Jan 2024 03:09:31 +0000 Subject: Connectionists: Call for Papers]: Second CFP for DMLR Workshop: Data-Centric Machine Learning Research at ICLR 2024 In-Reply-To: References: Message-ID: DMLR Workshop: Data-Centric Machine Learning Research at ICLR 2024 2024 - 2nd Call for Papers May 11th ? Vienna, Austria DMLR Workshop ?24 Website Theme: Harnessing Momentum for Science We invite submissions to the 4th workshop on Data-Centric Machine Learning Research co-located with the International Conference on Learning Representations (ICLR) ? 2024 in Vienna, Austria. Scope AI for science uses AI to tackle unique scientific challenges, uncover rare phenomena, deepen our understanding of scientific domains, and accelerate discoveries. The traditional model-centric AI approach primarily focuses on algorithmic improvements and often overlooks the foundational role of data. This is particularly problematic in scientific contexts where there are strong emphases on both prediction from and explanation of data. In science, ML pipelines are often interwoven with the inputs and outputs of theoretical models which depend on robust data and reliable model outputs. In large science projects and missions that produce vast amounts of data, efficient data-centric AI frameworks are essential for maximizing the potential of expensive experiments and missions. This being said, the integrity of AI systems is intrinsically tied to the quality of their training data. The high stakes in science leave no room for errors due to poor data. For scientists to trust AI systems, data quality, including precise labeling and comprehensive coverage, is vital. This workshop aims to showcase the latest research in the area of AI for science. By showcasing these breakthroughs and fostering collaboration, it seeks to break down the research barriers between AI and science. Topics will include, but are not limited to: * Data collection and benchmarking techniques * Data governance frameworks for ML * Impact of data bias, variance, and drifts * Role of data in foundation models: pre-training, prompting, fine-tuning * Optimal data for standard evaluation framework in the context of changing model landscape * Domain specific data issues * Data-centric explainable AI * Data-centric approaches to AI alignment * Active learning, Data cleaning, acquisition for ML Bridging the gap between seasoned expertise and fresh perspectives, our keynote/invited talks will showcase the work of established, mid and early-career researchers. This well-rounded mix promises a vibrant exchange of ideas and fosters dynamic advancements in the field. Submission All authors and submissions should adhere to the ICLR policy. * We welcome two types of paper submissions: * Research papers: up to 8 pages (not including references and appendices). Acceptable material includes original and high-quality unpublished contributions to the theory, practical aspects, as well as position papers relevant to the workshop topics. * Extended abstracts: up to 2 pages (not including references and appendices). Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings. * Posting all versions of a paper (with the exception of the final published version) that is submitted to DMLR workshop, on preprint servers like ArXiv is permitted. Once the paper is accepted, the preprint version should be marked with the publication information including DOI. * All submissions must represent original work and not previously published elsewhere. * The use of LLMs is allowed as a general-purpose writing assist tool. Authors should understand that they take full responsibility for the contents of their papers, including content generated by LLMs that could be construed as plagiarism or scientific misconduct (e.g., fabrication of facts). LLMs are not eligible for authorship. * ??Authors who choose to create new datasets must provide access to the datasets (view and download) to help reviewers assess submitted works. We strongly encourage authors to submit supplementary material (as a separate PDF) including: * Data Card: we recommend authors to check data card template. * Data Sheet: Check a datasheet example. * Authors are strongly encouraged to include a paragraph-long Reproducibility Statement at the end of the main text (before references) to discuss the efforts that have been made to ensure reproducibility. This optional reproducibility statement will not count toward the page limit, but should not be more than 1 page. We encourage authors to check model card template. * Submissions should adhere to the DMLR style templates: Latex template * Submissions are only accepted in written English. * All papers must be proofread (not just spell checked) by the authors before submission. * Submission URL: https://openreview.net/group?id=ICLR.cc/2024/Workshop/DMLR Accepted research papers will be presented at the workshop either as a talk or as a poster. Accepted extended abstracts will be presented as posters. We do not intend to publish paper proceedings. Important Dates (Time zone: Anywhere on Earth) Paper Submission deadline: 03 February 2024 Notification of Acceptance: 03 March 2024 Camera Ready Copy due: Coming Soon Workshop: 11 May 2024 Awards (1) A few selected exceptional research papers from DMLR workshop 2024 will be invited to contribute to the DMLR journal; the latest member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research. (2) Papers with methods, datasets or applications that are relevant to Sustainable Development Goals (https://sdgs.un.org/goals) will have the opportunity to present their paper in a spotlight talk on the AI for Good platform (https://aiforgood.itu.int/) and the in the in-person summit in Geneva, Switzerland. Contact If you have any questions about the paper submission and the workshop, please join our Discord channel: https://discord.gg/jYk3FNfYqG Join the DMLR Discord Server! Check out the DMLR community on Discord - hang out with 320 other members and enjoy free voice and text chat. discord.gg Workshop Organizers Manil Maskey, Alicia Parrish, Lilith Bat-Leah, Praveen Paritosh, Chanjun Park, Fatimah Alzamzami, Xiaozhe Yao, Holger Caesar, Bernard Koch, Zhangyang ?Atlas? Wang, Jerone Andrews, Paolo Climaco, Bolei Ma, Steffen Vogler, Danilo Brajovic, Mayee Chen, Sang Truong Best Regards, The Organizing Committee of DMLR Workshop 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Mon Jan 22 06:02:25 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Mon, 22 Jan 2024 12:02:25 +0100 Subject: Connectionists: LOD 2024 1st Call for papers: 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: March 23 Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy LOD 2024, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders https://lod2024.icas.events/ lod at icas.cc SATELLITE EVENTS: 2nd International Meeting on Foundation Models - IMFM2024 https://lod2024.icas.events/imfm2024/ 1st Workshop AI in Life Sciences - WAILS2024 https://lod2024.icas.events/wails2024/ 24 TRACKS: https://lod2024.icas.events/tracks/ PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2024 *Paper Submission deadline: March 23 (Anywhere on Earth)* CALL FOR PAPERS: https://lod2024.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2024, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; LOD 2024 KEYNOTE SPEAKERS: Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA Topics: Large Language Models, Deep Learning, AI "How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone" Johannes Schmidt-Hieber, University of Twente, The Netherlands Topics: Mathematics of Artificial Neural Networks, Biological Neural Networks, Deep Learning https://lod2024.icas.events/keynote/ PAST LOD KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ BEST PAPER AWARD: Springer sponsors the LOD 2024 Best Paper Award with a cash prize of 1,000 Euro. https://lod2024.icas.events/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2024.icas.events/program-committee/ VENUE: https://lod2024.icas.events/venue/ The venue of LOD 2024 will be Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany - Italy. LOD 2024 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043? Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://lod2024.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=lod2024 See you in the beautiful Tuscany in September! Best regards, LOD 2024 Organizing Committee. Past Editions: https://lod2024.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ https://lod2024.icas.events/ lod at icas.cc LOD2024 Poster: https://lod2024.icas.events/wp-content/uploads/sites/27/2023/11/LOD-2024-poster.png * Apologies for multiple copies. Please forward to anybody who might be interested * -- *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data ? LOD 2024, *22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod at icas.cc *Submission Deadline: March 23* *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience ? ACAIN 2024,* 22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain at icas.cc *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From H.Bilen at ed.ac.uk Mon Jan 22 06:59:04 2024 From: H.Bilen at ed.ac.uk (Hakan Bilen) Date: Mon, 22 Jan 2024 11:59:04 +0000 Subject: Connectionists: Postdoc position in Computer Vision at University of Edinburgh In-Reply-To: References: <86b819bc-a61e-a783-dab0-5f647ec60abc@ed.ac.uk> Message-ID: <4F37B4B0-453D-424E-AFA1-A1570AA03CF7@ed.ac.uk> Greetings colleagues, A new postdoc positions in computer vision at the University of Edinburgh that might be of interest to you. All the best, Hakan Postdoc in 3D Vision and Representation Learning @ the University of Edinburgh We are looking for a postdoc to undertake novel research at the intersection of 3D vision and representation learning in the School of Informatics at the University of Edinburgh. The Topic The goal of this project is to develop new approaches for visual reasoning that are grounded in learned general-purpose 3D-aware representations. This will involve advancing our understanding of the state-of-the-art in 3D aware representation learning and developing new methods for injecting 3D priors into visual representation learning algorithms. Project Team The candidate will be based in the Edinburgh Laboratory for Integrated Artificial Intelligence. They will be supervised by Dr. Oisin Mac Aodha, Dr. Hakan Bilen, and Dr. Changjian Li. There will be many collaborative opportunities, both within the Vision group, as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, NLP, speech processing, and social computing). Your Skills * PhD degree (or nearing completion) * A strong background in machine learning and/or computer vision and 3D vision * Publications at top venues in CV or/and ML (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, ...) Location The School of Informatics was ranked #1 in the UK for research power in Computer Science and Informatics Times Higher Education ranking, based on the 2021 Research Excellence Framework (REF). We are one of the top six institutions in Europe for AI according to CSRankings, and the highest-ranked UK institution. The School is an active Unit in the European Laboratory for Learning and Intelligent Systems (ELLIS). Edinburgh is a highly attractive city to live in. It is walkable, enjoys proximity to nature, and features a world-class cultural scene. It was ranked 1st in the 2022 Time-Out Index of the best cities in the world. How to apply Apply before 19th February 2024 This post is full-time (35 hours per week) and fixed term for 12 months (with possibility of extension by another 12 months). Contact details for enquiries: Dr. Oisin Mac Aodha oisin.macaodha at ed.ac.uk You can find more information about the role, including details on how to apply here. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Mon Jan 22 09:18:59 2024 From: doya at oist.jp (Kenji Doya) Date: Mon, 22 Jan 2024 14:18:59 +0000 Subject: Connectionists: WCCI 2024 in Yokohama: submission deadline Jan 29 Message-ID: <0A3ACDCF-F37A-4B6A-90A5-941D045E179F@oist.jp> WCCI 2024 is a joint conference on Neural Networks, Fuzzy Systems and Evolutionary Computation. The paper submission deadline has been extended to January 29. We hope to see many of you in the waterfront city of Yokohama this summer. === IEEE WCCI 2024 Call for Papers June 30 - July 5, 2024 @ Yokohama, Japan https://2024.ieeewcci.org IEEE WCCI 2024 is the world?s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC). WCCI and IJCNN Keynote Speakers: * Marios M. Polycarpou, University of Cyprus * Bernadette Bouchon-Meunier, CNRS-Sorbonne Universit? * Simon See, Nvidia * Saori Tanaka, NAIST & ATR * Akira Oyama, JAXA * Johan Suykens, Katholieke Universiteit Leuven * Masashi Sugiyama, Riken & University of Tokyo * Plamen Angelov, Lancaster University * Yukie Nagai, University of Tokyo * Divyashree-Shivakumar Sreepathihalli, Google IMPORTANT DATES - 29 January 2024: Paper Submission Deadline - 15 March 2024: Paper Acceptance Notification - 1 May 2024: Final Paper Submission & Early Registration Deadline - 30 June - 5 July 2024: IEEE WCCI 2024 Yokohama, Japan PAPER SUBMISSION Please read the paper submission guidelines (https://2024.ieeewcci.org/submission) before submitting your papers. * Each paper should not reveal author's identities (double-blind review process). * Papers will be checked for plagiarism. The Program Committee reserves the right to desk-reject a paper if it contains elements that are suspected to be plagiarized. * Submissions should be original and not currently under review at another venue. * Each paper is limited to 8 pages, including figures, tables, and references. A maximum of two extra pages per paper is allowed (i.e, up to 10 pages), at an additional charge of $100 per extra page. * All papers must be submitted through the IEEE WCCI 2024 online submission system. * For special session papers, please select the respective special session title under the list of research topics in the submission system. * In order for your papers to be included in the congress program and in the proceedings, final accepted papers must be submitted, and the corresponding registration fees must be paid by May 1, 2024 (11:59 PM Anywhere on Earth). * IEEE WCCI 2024 will present the Best Overall Paper Awards and the Best Student Paper Awards to recognize outstanding papers published in each of the three conference proceedings (IJCNN 2024, FUZZ-IEEE 2024, IEEE CEC 2024). The awards will be judged by an Awards Committee and the recipient of each award will be given a certificate of the award and a cash prize. * It is the policy of WCCI 2024 that new authors cannot be added at the time of submitting final camera ready papers. Please ensure that you are following this guideline to avoid any issues with publication. * WCCI 2024 adopts EDAS as the submission system, available at the following link: https://edas.info/N31614 NOTE IEEE WCCI 2024 will be primarily an in-person conference. However, the organization acknowledges that for a wide variety of reasons not all members can physically attend the conference and that traveling may simply be impossible. Therefore, the conference will provide the possibility for remote presentation (live online talk with live online Q&A) for remote authors. At least one remote author must register for the conference (regular registration, as IEEE Member or Non-Member). In addition to delivering the live online talk, remote authors are also asked to provide a recording their talk, which will be made available to all attendees to be viewed at their own convenience. The recorded talk will also be used as a backup just in case there are Internet connection problems during the live online talk. Remote attendees can attend only online sessions whereas on-site attendees can attend all sessions (i.e., both online and on-site sessions). ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From luca.oneto at unige.it Mon Jan 22 14:19:33 2024 From: luca.oneto at unige.it (Luca Oneto) Date: Mon, 22 Jan 2024 20:19:33 +0100 Subject: Connectionists: ESANN 2024 SS CFP - Informed Machine Learning for Complex Data Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Informed Machine Learning for Complex Data" at ESANN 2024 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024). 9-11 October 2024, Bruges, Belgium - http://www.esann.org DESCRIPTION: In the contemporary era of data-driven decision-making, the application of Machine Learning (ML) on complex data (e.g., images, text, sequences, trees, and graphs) has become increasingly pivotal (e.g., LLM and GraphNN for Drugs Discovery). In this context, there is a gap between purely data-driven models and domain-specific knowledge, requirements, and expertise. In particular, this domain specificity needs to be integrated into the ML models to improve learning generalization, sustainability, trustworthiness, reliability, security, and safety. This additional knowledge can assume different forms, e.g.: - software developers require ML to comply with many technical requirements; - companies require ML to comply with economic and environmental sustainability; - domain experts require ML to be aligned with physical and logical laws; - society requires ML to be aligned with ethical principles. This special session aims to gather valuable contributions and early findings in the field of Informed Machine Learning for Complex Data. Our main objective is to showcase the potential and limitations of new ideas, improvements, or the blending of Artificial Intelligence, Machine Learning, and other research areas in solving real-world problems. We invite both theoretical and practical results to this special session. TOPICS OF INTEREST: - Data-informed ML (e.g., the ability to directly learn from complex data) - Technically-informed ML (e.g., regressiveness, replicability, and security) - Sustainability-informed ML (e.g., ability to learn and predict efficiently from data) - Knowledge-informed ML (e.g., physical laws, logical requirements, and algorithms) - Ethically-informed ML (e.g., fairness, explainability, fairness, and cultural competence) SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 2 May 2024 Notification of acceptance: 16 June 2024 ESANN conference: 9-11 October 2024 SPECIAL SESSION ORGANISERS: Luca Oneto (University of Genoa, Italy) Nicol? Navarin (University of Padua, Italy) Alessio Micheli (Universit? di Pisa, Italy) Luca Pasa (University of Padova, Italy) Claudio Gallicchio (University of Pisa, Italy) Davide Bacciu (Universit? di Pisa, Italy) Davide Anguita (DIBRIS - University of Genova, Italy) ---------------------------------------- Prof. Luca Oneto University of Genoa www.lucaoneto.it luca.oneto at unige.it ---------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From hugo.o.sousa at inesctec.pt Mon Jan 22 12:12:08 2024 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Mon, 22 Jan 2024 17:12:08 +0000 Subject: Connectionists: Text2Story@ECIR'24 Last Deadline Extension Message-ID: *** Apologies for cross-posting *** ++ LAST DEADLINE EXTENSION ++ **************************************************************************** Seventh International Workshop on Narrative Extraction from Texts (Text2Story'24) Held in conjunction with the 46th European Conference on Information Retrieval (ECIR'24) March 24th, 2024 ? Glasgow, Scotland Website: https://text2story24.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission Deadline: January 24th, 2024 February 7th, 2024 - Acceptance Notification: March 1st, 2024 - Camera-ready copies: March 15th, 2024 - Workshop: March 24th, 2024 ++ Overview ++ Over these past years, significant breakthroughs, led by Transformers and Large Language Models (LLMs), have been made in understanding natural language text. However, the ability to capture, represent, and analyze contextual nuances in longer texts is still an elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. In the seventh edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g, chatGPT) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation and understanding from texts including but not limited to narrative information extraction aspects, narratives representation, knowledge extraction, ethics and bias in narratives, datasets and evaluation protocols and narrative applications such as visualization of narratives, multi-modal aspects, Q&A, etc. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: Information Extraction Aspects * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Big Data Applied to Narrative Extraction Narrative Representation * Annotation protocols * Narrative Representation Models * Lexical, Syntactic, and Semantic Ambiguity in Narrative Representation Narrative Analysis and Generation * Argumentation Analysis * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Comprehension of Generated Narratives * Story Evolution and Shift Detection * Automatic Timeline Generation Datasets and Evaluation Protocol * Evaluation Methodologies for Narrative Extraction * Annotated datasets * Narrative Resources Ethics and Bias in Narratives * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking Narrative Applications * Narrative-focused Search in Text Collections * Narrative Summarization * Narrative Q&A * Multi-modal Narrative Summarization * Sentiment and Opinion Detection in Narratives * Social Media Narratives * Narrative Simplification * Personalization and Recommendation of Narratives * Storyline Visualization ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset - published at ECIR'21 - under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks (e.g., Q&A), especially when combined with Large Language Models (LLMs) like ChatGPT. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We solicit the following types of contributions: * Full papers up to 8 pages + references Original and high-quality unpublished contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Short papers up to 5 pages + references Unpublished short papers describing work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. * Demos | Resource Papers up to 5 pages + references Unpublished papers presenting research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community; Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Invited Speakers ++ Homo narrans: From Information to Narratives Jochen L. Leidner, Coburg University of Applied Sciences, Germany Abstract: Humans are curious creatures, equipped with a sense of (and desire for) finding meaning in their environment. They are predisposed to identify patterns, real and spurious, in the world they live in, and above anything else, they understand the world in terms of narratives. In this talk, we will explore a set of questions about narratives: what is a narrative made up of? What signals from textual prose tell us what the narrative is? What about signals from structured data that imply a particular narrative? What is the essence of a story? How can narrative information be extracted and presented? Open source intelligence analysts and investigative reporters alike are hunting for the story, the narrative, behind the petabyte intercepts or terabyte leaks. The more data we gather or have available, the stronger will be our thirst to distill meaningful stories from it. Bio: Professor Jochen L. Leidner MA MPhil PhD FRGS is the Research Professor for Explainable and Responsible Artificial Intelligence in Insurance at Coburg University of Applied Sciences and Arts, Germany, where he leads the Information Access Research Group, a Visiting Professor of Data Analytics in the Department of Computer Science, University of Sheffield and founder and CEO of the consultancy KnowledgeSpaces. He is also a Fellow of the Royal Geographical Society. Dr. Leidner's experience includes positions as Director of Research at Thomson Reuters and Refinitiv in London, where he headed its R&D team (2013-2022). He has built up research and innovation teams. He was also the Royal Academy of Engineering Visiting Professor of Data Analytics at the Department of Computer Science. His background includes a Master's in computational linguistics, English and computer science (University of Erlangen-Nuremberg), a Master's in Computer Speech, Text and Internet Technology (University of Cambridge) and a PhD in Informatics (University of Edinburgh), which won the first ACM SIGIR Doctoral Consortium Award. He is a scientific expert for the European Commission (FP7, H2020, Horizon Europe) and other funding bodies in Germany, Austria, the UK and the USA. He also is a past chair of the Microsoft-BCS/BCS IRSG Karen Sparck Jones award. Professor Leidner is an author or co-author of several dozen peer-reviewed publications (including one best paper award), has authored or co-edited two books and holds several patents in the areas of information retrieval, natural language processing, and mobile computing. He has been twice winner of the Thomson Reuters inventor of the year award for the best patent application, and is the past received of a Royal Society of Edinburgh Enterprise Fellowship in Electronic Markets. Visual Storytelling with Question-Answer Plans Mirella Lapata, University of Edinburgh, Scotland Abstract: Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with external knowledge sources or advanced graph structures. Despite recent progress, the stories are often repetitive, illogical, and lacking in detail. To mitigate these issues, we present a novel framework which integrates visual representations with pretrained language models and planning. Our model translates the image sequence into a visual prefix, a sequence of continuous embeddings which language models can interpret. It also leverages a sequence of question-answer pairs as a blueprint plan for selecting salient visual concepts and determining how they should be assembled into a narrative. Automatic and human evaluation on the VIST benchmark (Huang et al., 2016) demonstrates that blueprint-based models generate stories that are more coherent, interesting, and natural compared to competitive baselines and state-of-the-art systems. Bio: Professor Mirella Lapata is a faculty member in the School of Informatics at the University of Edinburgh. She is affiliated with the Institute for Communicating and Collaborative Systems and the Edinburgh Natural Language Processing Group. Her research centers on computational models for the representation, extraction, and generation of semantic information from structured and unstructured data. This encompasses various modalities, including text, images, video, and large-scale knowledge bases. Prof. Lapata has contributed to diverse applied Natural Language Processing (NLP) tasks, such as semantic parsing, semantic role labeling, discourse coherence, summarization, text simplification, concept-to-text generation, and question answering. Using primarily probabilistic generative models, she has employed computational models to investigate aspects of human cognition, including learning concepts, judging similarity, forming perceptual representations, and learning word meanings. The overarching objective of her research is to empower computers to comprehend requests, execute actions based on them, process and aggregate large datasets, and convey information derived from them. Central to these endeavors are models designed for extracting and representing meaning from natural language text, internally storing meanings, and leveraging stored meanings to deduce further consequences. ++ Organizing committee ++ Ricardo Campos (INESC TEC; University of Beira Interior, Covilh?, Portugal) Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ Jo?o Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Concei??o Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ ?lvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Universit? de La Rochelle) Ant?nio Horta Branco (University of Lisbon) Anubhav Jangra (IIT Patna, Japan) Arian Pasquali (Faktion AI) Bart Gajderowicz (University of Toronto) Bego?a Altuna (Universidad del Pa?s Vasco) Behrooz Mansouri (Rochester Institute of Technology) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Brucce dos Santos (Computational Intelligence Laboratory (LABIC) - ICMC/USP) David Semedo (Universidade NOVA de Lisboa) Deya Banisakher (Florida International University) Dhruv Gupta (Norwegian University of Science and Technology) Evelin Amorim (INESC TEC) Henrique Lopes Cardoso (LIACC & University of Porto) Ignatius Ezeani (Lancaster University) Irina Rabaev (Shamoon College of Engineering) Ismail Altingovde (Middle East Technical University) Jo?o Paulo Cordeiro (INESC TEC & University of Beira Interior) Liana Ermakova (HCTI, Universit? de Bretagne Occidentale) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Luis Filipe Cunha (INESC TEC & University of Minho) Marc Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Mariana Caravanti (Computational Intelligence Laboratory (LABIC) - ICMC/USP) Moreno La Quatra (Kore University of Enna) Natalia Vanetik (Sami Shamoon College of Engineering) Nuno Guimar?es (INESC TEC & University of Porto) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Purifica??o Silvano (CLUP & University of Porto) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) S?rgio Nunes (INESC TEC & University of Porto) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Valentina Bartalesi (ISTI-CNR, Italy) ++ Contacts ++ Website: https://text2story24.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2024 at easychair.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbjerva at cs.aau.dk Tue Jan 23 03:53:47 2024 From: jbjerva at cs.aau.dk (Johannes Bjerva) Date: Tue, 23 Jan 2024 08:53:47 +0000 Subject: Connectionists: [Final call] PhD position on Explainable and Factual Language Modelling (Copenhagen, DK) In-Reply-To: <25ea2d5d353345a8ab01981279c7b1e9@cs.aau.dk> References: <25ea2d5d353345a8ab01981279c7b1e9@cs.aau.dk> Message-ID: A final call for this position: A fully funded PhD position is available at the Copenhagen campus of the Department of Computer Science, Aalborg University (AAU). The position is on the topic of Explainability and Factuality in Language Modelling [1]. The position is in a thriving NLP research community with interests in multilingual NLP, educational NLP, and NLP Security [3], currently consisting of three other PhD students and three postdocs. We are particularly interested in candidates with a strong technical background in terms of NLP, ML, or AI more broadly. There is a substantial amount of freedom in terms of research direction, and the conditions offered when doing a PhD in Denmark are hard to beat. Interested applicants are encouraged to reach out to me at jbjerva at cs.aau.dk. * Application deadline: 6 February 2024 * Interviews: 29 February 2024 * Starting date: Ideally between 1 May and 1 September 2024 * Salary is state-mandated and ranges from ca. 27k-34k DKK + pension and supplements per month. [2] The ratio of salary/cost-of-living is one of the best in the world. * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. We welcome applicants either with an MSc. or who will have finished their master's degree at latest by the summer (standard 3 year PhD position). We also have the opportunity to offer a position to a highly motivated candidate finishing their 1st year of their MSc. by this summer, under the Danish 4+4 PhD scheme [4]. Applications must be submitted via this link [1]. [1] https://www.stillinger.aau.dk/phd-stillinger/vis-stilling/vacancyId/1217649 [2] https://dm.dk/din-loen/loenstatistik-og-loentabeller/forskning-og-undervisning/loen-ph-d-stipendiater (only available in Danish) [3] https://arxiv.org/abs/2401.12192 [4] https://phd.arts.au.dk/applicants/phdstudystructure Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Team Lead for CS CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers V?nge 15, 2450 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue Jan 23 04:14:34 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 23 Jan 2024 10:14:34 +0100 Subject: Connectionists: CfP FRCCS 2024 - Fourth French Regional Conference on Complex Systems, 29-31 May 2024, Montpellier Message-ID: CFP FRCCS 2024 Montpellier, France May 29 ? 31, 2024 Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 ? 31, 2024 Montpellier, France *FRCCS 2024* *Submission Website : https://cmt3.research.microsoft.com/FRCCS2024/ * After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Papers* about *original research* (up to 12 pages) ? *Extended Abstract* about published or unpublished research (3 to 4 pages). *Submission Website* : https://cmt3.research.microsoft.com/FRCCS2024/ *Submission format* Papers : There is no page limits. Extended abstracts : Recommended to be between 2-3 pages. They should not exceed 4 pages. Each submission must be written in english following the Springer publication format available on the website of : https://appliednetsci.springeropen.com/submission-guidelines LaTeX Templates can be downloaded here : https://iutdijon.u-bourgogne.fr/ccs-france-2023/wp-content/uploads/2019/04/SVJour3Springer-journals.zip *Keynote Speakers* ? Ingmar Weber , Saarland University ? Sonia K?fi , Universit? de Montpellier ? Petter Holme , Aalto University ? Natasa Przulj , Barcelona Supercomputing Center ? Bolek Szymanski , Rensselaer Polytechnic Institute *Publication* - Contributions will be included in the conference proceedings (With ISBN) - *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * o Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals ? *Complex Networks * o Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. ? *Neuroscience, Linguistics* o Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity ? *Economics & Finance* o Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment ? *Infrastructure, planning, and environment * o critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences ? *Biological and (bio)medical complexity * o biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging ? *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation ? *Socio-Ecological Systems* o Global environmental change, green growth, sustainability & resilience, and culture ? *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution ? *Engineering systems and systems of systems* o bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology ? *Complexity in physics and chemistry* o quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Roberto Interdonato , CIRAD, UMR TETIS, Montpellier Bruno Pinaud , LABRI University of Bordeaux -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue Jan 23 04:19:42 2024 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 23 Jan 2024 10:19:42 +0100 Subject: Connectionists: Caroline Rowland speaking on January 24 in Developing Minds global online lecture series Message-ID: Dear colleagues, On January 24, the Developing Minds global online lecture series is proud to host Caroline Rowland from rom the Max-Planck Institute for Psycholinguistics and Radboud University, Nijmegen, Netherlands, speaking on: "What predicts how quickly children learn language?? The live event will take place via zoom at: Wednesday, January 24, 2024 09:00 am EST (Eastern Standard Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/6960577736?omn=62362490041 Meeting-ID: 696 057 7736 Abstract There are large individual differences in the speed with which children acquire language in the early years. A popular approach is to attribute this variance to differences in the quality and quantity of the child's interactions and input; for example, to the amount of child directed speech or the number of conversational turns that adults and children use in interaction. However, even the strongest findings report only small to moderate effect sizes of linguistic input. In recent years we've been applying a constructivist approach to explaining individual variation to see how far it can take us. In this approach, language development is conceptualized as emerging from rich pre-linguistic communicative and cognitive abilities, with individual learning trajectories being shaped by interactions between environmental input, the child?s current knowledge, and the child?s learning and processing mechanisms. In this talk I illustrate some of our findings from this approach, using data from the longitudinal Language 0-5 Project, in which we followed 90 children from 6 months to 4 and a half years old, and assessed the impact of a range of socio-cognitive, cognitive, and environmental factors on individual differences in language growth. Short Bio: Caroline Rowland is Director of the Language Development Department at the Max Planck Institute for Psycholinguistics in Nijmegen and Professor of First Language Acquisition at Radboud University. Her research focuses on how children learn to communicate with language, how the developing brain supports this process, and how it is affected by cross-linguistic, cultural and individual variation. She takes a multiple methods approach - experimental work, naturalistic data analysis and computer modelling ? to test the predictions of different models of the child?s learning mechanism. Her book, Understanding Child Language Acquisition, is an introduction to the most important research on child language acquisition over the last fifty years, and to some of the most influential theories in the field. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1418 bytes Desc: not available URL: From jesse.grootjen at um.ifi.lmu.de Tue Jan 23 05:26:12 2024 From: jesse.grootjen at um.ifi.lmu.de (Grootjen, Jesse) Date: Tue, 23 Jan 2024 10:26:12 +0000 Subject: Connectionists: CfP - HHAI 2024 [Extended Deadline] - The third International Conference on Hybrid Human-Artificial Intelligence Message-ID: Call for Participation: HHAI2024 ? The third International Conference on Hybrid Human-Artificial Intelligence June 10-14, 2024, Malm?, Sweden Call for Papers & Call for Workshop and Tutorial Proposals In this message, we shortened each call to their essentials ? the full text of each call is available on the website: https://hhai-conference.org/2024/ Hybrid Human-Artificial Intelligence (HHAI) is an international conference series that focuses on the study of Artificial Intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that work together with humans, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems. HHAI systems leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations. The HHAI field is driven by developments in AI, but it also requires fundamentally new approaches and solutions. Thus, we encourage collaborations across research domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this third international conference, we invite scholars from these fields to submit their best original ? new as well as in progress ? works, and visionary ideas on Hybrid Human-Artificial Intelligence. Call for Papers (Main track) Important dates - Abstract submission*: January 26, 2024 February 2, 2024 - Paper submission: February 2, 2024 February 9, 2024 - Acceptance notification: March 29, 2024 - Camera-ready version: April 12, 2024 * Please register your abstracts as soon as possible. Topics We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive: - Human-AI interaction and collaboration - Adaptive human-AI co-learning and co-creation - Learning, reasoning and planning with humans and machines in the loop - User modeling and personalisation - Integration of learning and reasoning - Transparent, explainable, and accountable AI - Fair, ethical, responsible, and trustworthy AI - Societal awareness of AI - Multimodal machine perception of real world settings - Social signal processing - Representations learning for Communicative or Collaborative AI - Symbolic and narrative-based representations for human-centric AI - Role of Design and Compositionality of AI systems in Interpretable / Collaborative AI We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models. Paper types In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers: - Full papers present original, impactful work (12 pages excl. references) - Blue sky papers present visionary ideas to stimulate the research community (8 pages excl. references) - Working papers present work in progress (8 pages excl.references) Accepted full papers and Blue sky papers will be published in the Proceedings of the Third International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Working papers can be included in these proceedings, unless the authors request the paper to remain unpublished. Work should be submitted in PDF format via Easychair: https://easychair.org/conferences/?conf=hhai2024 Call for Workshop and Tutorial Proposals We invite proposals for two-day, full-day and half-day workshops at HHAI 2024. We also invite tutorials to run alongside the workshops. The workshops and tutorials will form part of the first edition of the HHAI Summer School. The HHAI 2024 workshops and tutorials provide a platform for discussing a topic related to Hybrid Human-Artificial Intelligence with an audience specifically interested in that topic in an informal setting (compared to the main conference). We invite submissions for events that foster cross-disciplinary interaction, scientific discourse, and creative and critical reflection, rather than just being mini-conferences. We offer organizers flexibility on formats that best suit the goals of their event. We also welcome submissions from research communities that may not be prominently featured in AI events and conferences. Important Dates - Workshop and tutorial proposals: January 31, 2024 - Proposal acceptance notification: February 7, 2024 - Deadline for announcing the Call for Contributions to the workshops: February 14, 2024 - Recommended deadline for submissions to the workshops: April 10, 2024 - Recommended deadline for notifications on the submissions: May 2, 2024 - Workshops and tutorials at HHAI2024: June 10-11, 2024 Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2024 Location HHAI 2024 will be an in-person, single-track conference, held in Malm?, Sweden on June 10-14, 2024. More information on the venue as well as travel information can be found on the website: https://hhai-conference.org/2024/ Contact information Conference chairs: Frank Dignum (Ume? University, SE), Fabian Lorig (Malm? University, SE), Jason Tucker (Malm? University, SE), and Adam Dahlgren Lindstr?m (Ume? University, SE). Program chairs: Pradeep Murukannaiah (TU Delft, NL), Andreas Theodorou (Ume? University, SE), Pinar Yolum (Utrecht University, NL). Workshop chairs: Petter Ericson (Ume? University, SE), Nina Khairova (Ume? University, SE), Marina de Vos (University of Bath, UK) For questions, you can reach the program chairs at program at hhai-conference.org and the workshop chairs at workshop at hhai-conference.org Kind regards, Julian Rasch & Jesse Grootjen Publicity and Social Media Chairs HHAI 2024 https://www.hhai-conference.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From valerie.gouet at ign.fr Tue Jan 23 06:30:31 2024 From: valerie.gouet at ign.fr (Valerie Gouet) Date: Tue, 23 Jan 2024 12:30:31 +0100 (CET) Subject: Connectionists: [CfP][Springer MTAP] Special Issue on Heritage Preservation in the Digital Age Message-ID: <1110245400.9982983.1706009431443.JavaMail.zimbra@ign.fr> [Apologies if you receive multiple copies of this CfP] *** Call for Papers Special Issue at Multimedia Tools and Applications, Springer Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction *** [ https://link.springer.com/journal/11042/updates/26502650 | https://link.springer.com/journal/11042/updates/26502650 ] *** Aims and Scope This special issue focuses on analyzing, processing and valorizing all types of data related to cultural heritage, including tangible and intangible heritage. As stated by UNESCO, cultural heritage provides societies with a wealth of resources inherited from the past, created in the present for the benefit of future generations. The massive digitization of historical analogue resources and production of born digital documents provide us with large volumes of varied multimedia heritage data (images, maps, text, video, 3D objects, multi-sensor data, etc.), which represent an extremely rich heritage that can be exploited in a wide variety of fields, from research in social sciences and computational humanities to land use and territorial policies, including urban modeling, digital simulation, archaeology, tourism, education, culture preservation, creative media and entertainment. In terms of research in computer science, artificial intelligence, and digital humanities, they address challenging problems related to the diversity, specificity or volume of the media, the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in the corresponding sub-fields of machine learning, signal processing, mono/multi-modal techniques and human-machine interaction. The objective of this special issue is to present and discuss the latest and most significant trends on analysis, understanding and promotion of heritage contents, focusing on advances on machine learning, signal processing, mono/multi-modal techniques, and human-machine interaction. We welcome research contributions for (but not limited to) the following topics: * Monomodal analysis: image, text, video, 3D, music, sensor data and structured referentials * Information retrieval for multimedia heritage * AI assisted archaeology and heritage data processing * Multi-modal deep learning and time series analysis for heritage data * Heritage modeling, visualization, and virtualization * Smart digitization and reconstruction of heritage data * Open heritage data and bench-marking The scope of targeted applications is extensive and includes: * Analysis, archaeometry of artifacts * Diagnosis and monitoring for restoration and preventive conservation * Geosciences / Geomatics for cultural heritage * Education * Smart and sustainable tourism * Urban planning * Digital Twins *** Important Dates * Submission deadline: 31 March 2024 * Review period: 1 April - 30 July 2024 * Notification: 31 July 2024 * Author revision deadline: 15 October 2024 * Final notification: 31 October 2024 *** Guest Editors * Valerie Gouet-Brunet, IGN-ENSG, University of Gustave Eiffel ( valerie.gouet at ign.fr ) * Ronak Kosti, Piscsart AI Lab ( ronakfau at gmail.com ) * Li Weng, School of Information Technology, Zhejiang Financial College ( lweng at zfc.edu.cn ) *** Submission Guidelines Authors should prepare their manuscript according to the Instructions for Authors available from the Multimedia Tools and Applications website. Authors should submit through the online submission site at [ https://www.editorialmanager.com/mtap/default.aspx | https://www.editorialmanager.com/mtap/default.aspx ] and select ?SI 1250- Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction? when they reach the ?Article Type? step in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. SUMAC 2023. Please note that the authors of selected papers presented at workshop SUMAC2023 (ACM Multimedia 2023) are invited to submit an extended version of their contributions by taking into consideration both the reviewers? comments on their conference paper, and the feedback received during presentation at the conference. It is worth clarifying that the extended version is expected to contain a substantial scientific contribution, e.g., in the form of new algorithms, experiments or qualitative/quantitative comparisons, and that neither verbatim transfer of large parts of the conference paper nor reproduction of already published figures will be tolerated. The extended versions of SUMAC2023 papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this special issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor in Chief. -- Valerie Gouet-Brunet Senior researcher / DR1 Minist?re de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel / IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.debray at ens-paris-saclay.fr Tue Jan 23 05:53:43 2024 From: samuel.debray at ens-paris-saclay.fr (Samuel Debray) Date: Tue, 23 Jan 2024 11:53:43 +0100 Subject: Connectionists: Simple test of math vocabulary Message-ID: Dear connectionists, Sorry to bug you with a special request. Stan Dehaene and I still need many more *native English volunteers* for our simple test of math vocabulary. The test is very simple, runs on-line, and only takes about 15 minutes (a bit longer if you have advanced math education). All the participant has to do is click on this link and follow the instructions: https://neurospin-data.cea.fr/exp/mathssim-en/ We would like to have a large sample of participants at various educational levels, ranging from students or professionals with high-level math to people who dropped out from school and/or never did much math. A huge thanks! Samuel Debray -------------- next part -------------- An HTML attachment was scrubbed... URL: From roman.rosipal at savba.sk Tue Jan 23 09:22:18 2024 From: roman.rosipal at savba.sk (Roman Rosipal) Date: Tue, 23 Jan 2024 15:22:18 +0100 Subject: Connectionists: PhD offer in the EU consortium DONUT, Brain-Computer Interface and Virtual Reality (SAS, Slovakia) Message-ID: <31619244-29E1-421E-AF78-BE35B6ABE1AF@savba.sk> We seek a PhD candidate to undertake research in the domain of Brain-Computer Interface and Virtual Reality for post-stroke rehabilitation, representing the exciting intersection of computational neuroscience, applied informatics, and artificial intelligence. The position is open within the European Doctoral Network for Neural Prostheses and Brain Research (DONUT) project at the Slovak Academy of Sciences in Bratislava, Slovakia, and supervised by Dr. Roman Rosipal. The position details and application instructions can be found on the EURAXESS portal. (https://euraxess.ec.europa.eu/jobs/183375) Kind regards Roman ? Dr. Roman Rosipal Department of Theoretical Methods Institute of Measurement Sciences Slovak Academy of Sciences Dubravska cesta 9 841 04 Bratislava, Slovak Republic tel: +421 2 59104532 (office) Tel: +421 910 257893 (mobile phone) Email: roman.rosipal at savba.sk Website: rrsav1.synology.me -------------- next part -------------- An HTML attachment was scrubbed... URL: From jserences at ucsd.edu Tue Jan 23 17:17:27 2024 From: jserences at ucsd.edu (John Serences) Date: Tue, 23 Jan 2024 14:17:27 -0800 Subject: Connectionists: Computational Neuroscience: Vision - CSHL Course July 2024 In-Reply-To: References: Message-ID: Hi all - please see below for info about the CSHL Computational Neuroscience: Vision summer course. Applications due March 15. Thank you, Computational Neuroscience: Vision July 9 - 23, 2024 Applications Due: March 15, 2024 Instructors Emily Cooper, University of California Berkeley Jonathan Pillow, Princeton University John Serences, University of California, San Diego Hands-on Experience with - MATLAB- and Python-based computer tutorials and projects - Visual information processing from the retina to higher cortical areas - Spatial pattern analysis - Motion analysis - Neuronal coding and decoding - Attention - Decision-making 2024 Lecturers Emma Alexander, Northwestern University Mariam Aly, Columbia University Kathryn Bonnen, Indiana University EJ Chichilnisky, Stanford University Marlene Cohen, University of Chicago Rachel Denison, Boston University Lea Duncker, Stanford University Ione Fine, University of Washington Lindsey Glickfeld, Duke University Jennifer Groh, Duke University Kohitij Kar, Massachusetts Institute of Technology Taraz Lee, University of Michigan J. Anthony Movshon, New York University Stephanie Palmer, University of Chicago Ruth Rosenholtz, M.I.T. Madineh Sedigh-Sarvestani, Cornell University Eero Simoncelli, New York University/Flatiron Institute Stefan Treue, Universit?t G?ttingen - German Primate Center, Germany Jacob Yates, University of Rochester For further information and to register please visit the Computational Neuroscience: Vision course website. Cold Spring Harbor Laboratory - Meetings & Courses | 1 Bungtown Road, Cold Spring Harbor, NY 11724 Unsubscribe jserences at ucsd.edu Update Profile | Constant Contact Data Notice Sent by meetmail at cshl.edu -- %--------------------------------------------------------------- John Serences Department of Psychology Neuroscience Graduate Program University of California, San Diego 9500 Gilman Drive 5338 McGill Hall La Jolla, CA 92093-0109 web: serenceslab.ucsd.edu %--------------------------------------------------------------- -- %--------------------------------------------------------------- John Serences Department of Psychology Neuroscience Graduate Program University of California, San Diego 9500 Gilman Drive 5338 McGill Hall La Jolla, CA 92093-0109 web: serenceslab.ucsd.edu %--------------------------------------------------------------- -- %--------------------------------------------------------------- John Serences Department of Psychology Neuroscience Graduate Program University of California, San Diego 9500 Gilman Drive 5338 McGill Hall La Jolla, CA 92093-0109 web: serenceslab.ucsd.edu %--------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From cemman at tee.gr Wed Jan 24 02:11:12 2024 From: cemman at tee.gr (Christos Emmanouilidis) Date: Wed, 24 Jan 2024 08:11:12 +0100 Subject: Connectionists: [Jobs] Human-Centric AI: Multiple research (PhD, postdoc) positions @ Univ. of Groningen Message-ID: <910289bf-2cc5-4d7a-a2d3-06f36315ca37@tee.gr> Dear colleagues, We have several openings for research positions in areas related to Human-Centric AI @ University of Groningen, Netherlands. 1. PhD position on Knowledge-Infused AI for Human-Technology Integration (V24.0004) 2. PhD position on Human-Centred Digital Twins in Industrial Work Environments (V24.0003) 3. Postdoc position on Human ? Centric Artificial Intelligence (V24.0032) The positions are funded through the Horizon Europe research projects HumAIne and AI4Work. HumAIne : Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations AI4Work : Human-centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions We would be grateful if you could share this with potentially interested candidates. Best wishes, Christos -- Christos Emmanouilidis, Dipl. Elec. Eng., FHEA, FISEAM, PhD Faculty of Economics and Business/, / Operations ? Management University of Groningen Nettelbosje 2, 9747 AE Groningen, The Netherlands *W*: https://www.rug.nl/staff/c.emmanouilidis/ *E*: c.emmanouilidis at rug.nl * T*: +31 (0) 503637020, +31 (0) 631986864 View Christos Emmanouilidis's profile on LinkedIn ORCID logo https://orcid.org/0000-0003-4335-6915 This email and any attachments to it may be confidential and are intended only for the named addressee. If you are not the named addressee, please accept our apology, notify the sender immediately and then delete the email. We request that you do not disclose, use, copy or distribute any information within it. Any opinions expressed are not necessarily the corporate view of the University of Groningen. Whilst we have taken steps to ensure that this email and all attachments are free from any virus, we advise that, in keeping with good computing practice, the recipient should ensure they are actually virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Wed Jan 24 07:12:17 2024 From: efipatm at gmail.com (Efi) Date: Wed, 24 Jan 2024 14:12:17 +0200 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof. Dr. Markus Reichstein: "Deep learning and Process Understanding for Data-Driven Earth System Science", 30th January 2024, 17:00 CET Message-ID: Dear AI scientist/engineer/student/enthusiast, Professor Dr. Markus Reichstein will deliver the e-lecture: "*Deep learning and Process Understanding for Data-Driven Earth System Science*" on *30th January 2024, 17:00 CET.* See details in: https://www.i-aida.org/events/deep-learning-and-process-understanding-for-data-driven-earth-system-science/ Location: The seminar will be delivered online via *zoom*: https://authgr.zoom.us/j/98231850331?pwd=SXQrdms3VDd0U1diZWpISTc5YkdTUT09 Meeting ID: 982 3185 0331 Passcode: 405011 The *International AI Doctoral Academy (AIDA)* , a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by: - Top highly-cited senior AI scientists internationally or - Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Wed Jan 24 08:00:51 2024 From: erik at oist.jp (Erik De Schutter) Date: Wed, 24 Jan 2024 13:00:51 +0000 Subject: Connectionists: Application deadline for Okinawa/OIST Computational Neuroscience Course 2024 (OCNC 2024) soon References: <0E0094E1-408E-409C-9420-3B543D831C5A@oist.jp> Message-ID: <6A6D4962-AF04-49E3-9DA0-931DBEC49644@oist.jp> OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2024 Methods, Neurons, Networks and Behaviors June 17 to July 4, 2024 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 17th through July 4th, 2024 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - January 31, 2024. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 19th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Lecturers: Erik De Schutter (OIST) Kenji Doya (OIST) Tomoki Fukai (OIST) Izumi Fukunaga (OIST) N. Alex Cayco Gajic (?cole Normale Sup?rieure, Paris, France) Yukiko Goda (OIST) Arvind Kumar (KTH, Stockholm, Sweden) Bernd Kuhn (OIST) Matthew Larkum (Humboldt University, Berlin, Germany) Hakwan Lau (RIKEN CBS, Tokyo, Japan) Sukbin Lim (NYU Shangai, China) Gerald Pao (OIST) Thomas Parr (Oxford University, UK) Sam Reiter (OIST) Kazumasa Tanaka (OIST) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3766 bytes Desc: not available URL: From max.garagnani at gmail.com Wed Jan 24 12:31:58 2024 From: max.garagnani at gmail.com (Max Garagnani) Date: Wed, 24 Jan 2024 17:31:58 +0000 Subject: Connectionists: Applications for 2024-25 entry: MSc in Computational Cognitive Neuroscience, Goldsmiths (London, UK) Message-ID: ************************************************************************************** The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE at Goldsmiths, University of London (UK) ************************************************************************************** is accepting APPLICATIONS for FULL- and PART-time studies in 2024-25. NOTE: places on this programme are limited and will be allocated on a first-come first-served basis. The course builds on the multi-disciplinary and strong research profiles of our Computing and Psychology Departments staff. It equips students with a solid theoretical basis and experimental techniques in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below). Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research. For more INFORMATION about the course, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ HOW TO APPLY: ============= Submitting an online application is easy and entirely free of cost. Simply click on THIS LINK and follow the instructions. COURSE OUTLINE: =============== This is a one-year full-time or two-years part-time Masters programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for full-time studies). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out in house or in collaboration with an external partner, either from academia or industry. For samples of previous students' MSc projects , visit: https://coconeuro.com/index.php/student-projects/ LINKS WITH INDUSTRY: ==================== The programme benefits from an ongoing collaborative partnership with different international companies having headquarters in the UK, the EU, and Japan. Carrying out your final research project with one of our industry partners will enable you to acquire cutting-edge skills much in demand on the job market, providing a fast-track route towards post-master's internships and employment. For examples of career paths taken by some of our graduates, and to read what they have to say about this course, visit: https://coconeuro.com/index.php/alumni/ For any further information, including entry requirements, fees and funding opportunities, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Max Garagnani, PhD. PhD. -- Joint Programme Director, MSc in Computational Cognitive Neuroscience Senior Lecturer in Computer Science Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ ******************************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From dpinots at yahoo.com Wed Jan 24 08:19:29 2024 From: dpinots at yahoo.com (Dimitris Pinotsis) Date: Wed, 24 Jan 2024 13:19:29 +0000 (UTC) Subject: Connectionists: Research Assistant in Neuroscience, University of London References: <1176478069.159050.1706102369696.ref@mail.yahoo.com> Message-ID: <1176478069.159050.1706102369696@mail.yahoo.com> The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at City?University of London is looking for a Research Assistant (RA) with a background in Computational Cognitive Neuroscience. About - pinotsislab The Lab focuses on developing new algorithms for the analysis of behavioral data and human and animal brain imaging data. Particular emphasis is put on applications in Computational Neuroscience and Psychiatry. The Lab develops brain theories that can explain brain function, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also performs EEG recordings. Responsibilities The Research Assistant will analyze human data in collaboration with other researchers and partners locally and internationally. S/he will also collect data recorded during cognitive neuroscience studies and contribute to manuscripts presenting findings that will be submitted in peer-reviewed journals/scientific conferences. Person Specification The RA shall conduct research at the intersection of brain imaging and machine learning. She or he will build computational tools using state of the art machine learning algorithms. The position has an initial duration of five and a half months . The successful candidate should have a BSc in computer science, maths, engineering, psychology, computational neuroscience, engineering or a related field. Experience with Dynamic Causal Modeling is an advantage. The role is available from 1st April 2024 or earlier by negotiation. Closing date for applications: 11th February 2024 at 11:59pm. For informal inquiries, please email pinotsis at mit.edu .? -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Wed Jan 24 11:52:52 2024 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Wed, 24 Jan 2024 16:52:52 +0000 Subject: Connectionists: (CfP) DEF-AI-MIA Workshop and 4th COV19D Competition in CVPR 2024 In-Reply-To: References: Message-ID: Dear Colleagues, We are inviting you to participate in the Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA) Workshop and 4th COV19D Competition to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024 in Seattle, USA, 17 ? 21 June, 2024. A) In the past few years, Deep Learning techniques have made rapid advances in many medical image analysis tasks. In pathology and radiology applications, they managed to increase the accuracy and precision of medical image assessment, which is often considered subjective and not optimally reproducible. This is due to the fact that they can extract more clinically relevant information from medical images than what is possible in current routine clinical practice by human assessors. Nevertheless, considerable development and validation work lies ahead before AI-based methods can be fully integrated ad used in routine clinical tasks. Of major importance is research on domain adaptation, fairness and explainability in AI-enabled medical image analysis. This research constitutes the main target of the DEF-AI-MIA Workshop. The workshop aims to foster discussion and presentation of ideas to tackle these challenges in the field, as well as identify research opportunities in this context. More information can be found here. Important Dates: March 23, 2024: Paper submission April 7, 2024: Review decisions sent to authors; notifications of acceptance April 14, 2024: Camera ready version For any requests or enquiries, please contact: stefanos at cs.ntua.gr B) The 4th COV19D Competition includes two Challenges: i) Covid-19 Detection Challenge and ii) Covid-19 Domain Adaptation Challenge. The 1st Challenge refers to detection of COVID-19 in chest 3D CT scans obtained from a single source, i.e., hospital. The 2nd Challenge refers to detection of COVID-19 in chest 3D CT scans obtained from various sources, i.e., hospitals with different data distributions. More information can be found here. Important Dates: January 8, 2024: Opening of the Competition March 16, 2024: Submission of results March 19, 2024: Winners announcement March 23, 2024: Paper submission April 7, 2024: Review decisions sent to authors; notifications of acceptance April 14, 2024: Camera ready version For registration and further information, please contact d.kollias at qmul.ac.uk General Chairs: Stefanos Kollias (National Technical University of Athens) Dimitris N. Metaxas (Rutgers University) Program Chairs: Dimitrios Kollias (Queen Mary University London) Xujiong Ye (University of Lincoln) Francesco Rundo (STMicroelectronics ADG?Central R&D) All accepted papers will be part of IEEE CVPR 2024 Conference Proceedings. Kind Regards, on behalf of the organising committee, Dimitrios Kollias ======================================================================== Dr Dimitrios Kollias, PhD, MIEEE, MBMVA, MAAAI, AMIARP, FHEA Lecturer (Assistant Professor) in Artificial Intelligence Member of Multimedia and Vision (MMV) research group Member of Queen Mary Computer Vision Group Member of Health Data in Practice (HDiP) Theme Associate Member of Centre for Advanced Robotics (ARQ) Academic Fellow of Digital Environment Research Institute (DERI) School of EECS Queen Mary University of London ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Wed Jan 24 11:53:53 2024 From: luca.oneto at unige.it (Luca Oneto) Date: Wed, 24 Jan 2024 17:53:53 +0100 Subject: Connectionists: ICMLA 2024 Workshop CFP - Human Aligned AI: Towards Algorithms that Humans Can Trust Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Workshop on "Human Aligned AI: Towards Algorithms that Humans Can Trust" at ICMLA 2024 - https://www.icmla-conference.org/icmla24/workshops.html Accepted papers will be included in the main conference proceedings. International Conference on Machine Learning and Applications (ICMLA 2024). 18-20 December 2024, Miami, Florida, USA - https://www.icmla-conference.org/icmla24/ DESCRIPTION: The rapid advancement of Artificial Intelligence (AI) brings forth critical considerations for its trustworthiness, including safety and security, fairness, privacy and explainability, demanding for a human-aligned approach. This workshop discusses the imperative for embedding these principles in the design and deployment of AI systems to ensure they align with human values and societal norms. We examine the challenges and strategies towards developing trustworthy AI, preventing unintended consequences, and addressing potential security vulnerabilities. Furthermore, we argue the necessity for a framework for the responsible development of AI, advocating for interdisciplinary collaboration and regulatory oversight. The goal is to foster AI technologies that enhance human well-being, uphold privacy and dignity, and contribute to a secure and equitable future. TOPICS OF INTEREST: Trustworthy AI - Adversarial attacks and defenses on machine learning and deep learning - Formal verification of machine learning and deep learning models - Privacy-preserving machine learning and deep learning - Explainability and Fairness - Theoretical foundations of Human Aligned AI Applications of Trustworthy AI - Generative AI - Healthcare - Cybersecurity - Transportation - Robotics - Industry SUBMISSION: Prospective authors must submit their paper through the ICMLA portal following the instructions provided in https://www.icmla-conference.org/icmla24/howtosubmit.html selecting "Workshop: Human Aligned AI: Towards Algorithms that Humans Can Trust". Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 31 July 2024 Notification of acceptance: 31 August 2024 ICMLA conference: 18-20 December 2024 https://www.icmla-conference.org/icmla24/keydates.html SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa Battista Biggio, University of Cagliari Noemi Greco, Google Davide Anguita, University of Genoa Fabio Roli, University of Genoa Maura Pintor, University of Cagliari Luca Demetrio, University of Genoa Antonio Cin?, University of Genoa Ambra Demontis, University of Cagliari ACKNOWLEDGEMENTS: ELSA Project https://www.elsa-ai.eu/ ---------------------------------------- Prof. Luca Oneto University of Genoa www.lucaoneto.it luca.oneto at unige.it ---------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.mcnamee at research.fchampalimaud.org Wed Jan 24 15:41:28 2024 From: daniel.mcnamee at research.fchampalimaud.org (Daniel McNamee) Date: Wed, 24 Jan 2024 20:41:28 +0000 Subject: Connectionists: CAJAL Course in Quantitative Approaches to Behavior and Virtual Reality 2024 Message-ID: CAJAL COURSE IN QUANTITATIVE APPROACHES TO BEHAVIOR AND VIRTUAL REALITY 2 - 21 June 2024, Champalimaud Centre for the Unknown, Lisbon, Portugal https://cajal-training.org/on-site/quantitative-approaches-to-behaviour-and-virtual-reality/ Applications deadline: 19 February 2024 DIRECTORS ? Benjamin de Bivort (Harvard University, USA) ? Ann Kennedy (Northwestern University, USA) * Giorgio Gilestro (Imperial College London, UK) ? Daniel McNamee (Champalimaud Centre for the Unknown, Portugal) Quantitative studies of behaviour are fundamental in our effort to understand brain function and malfunction. Recently, the techniques for studying behaviour, along with those for monitoring and manipulating neural activity, have progressed rapidly. Therefore, we are organizing a summer course to provide promising young scientists with a comprehensive introduction to state-of-the-art techniques in quantitative behavioural methods. This course?s content is complementary to other summer courses that focus on measuring and manipulation neurophysiological processes. Our focus is on methodologies to acquire rich data representations of behavior, dissect them statistically, model their dynamics, and integrate behavioral measurements with other kinds of neurobiological data. To this end, students will 1) fabricate devices for recording the behavior of experimental organisms (including flies, fish, and humans), 2) learn, under the guidance of the scientists developing these methods, the modern tools to analyze behavioral data from these organisms, and 3) in a week-long independent project develop and conduct a behavioral study of their own design, with the support and guidance of the course instructors and teaching assistants. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, biology, ethology, computer science, and psychology. Students are expected to have a keen interest and basic background in neurobiology and behavior, as well as some programming experience. A maximum of 20 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. Confirmed faculty: Ahmed Al-Hady (Max Planck Institute, Konstanz, Germany) Kristin Branson (Janelia, USA) Andre Brown (Imperial College, UK) Bing Brunton (U Washington, USA) Iain Couzin (Max Planck Institute, Konstanz, Germany) Serena Ding (Max Planck Institute, Konstanz, Germany) Gonzalo de Polavieja (Champalimaud, Portugal) Kim Hoke (Colorado State University, USA) Karla Kaun (Brown University, USA) Kate Laskowski (UC Davis, USA) Zach Mainen (Champalimaud, Portugal) Talmo Pereira (Salk Institute, USA) Hugo Spiers (UCL, UK) Nachum Ulanovsky (Weizmann Institute, Israel) more to be confirmed! Daniel McNamee (co-director, Champalimaud Research) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Wed Jan 24 08:48:17 2024 From: jonizhong at msn.com (Joni Zhong) Date: Wed, 24 Jan 2024 13:48:17 +0000 Subject: Connectionists: [Meetings][CFP] WCCI 24 Special Session: Machine Learning in Rehabilitation In-Reply-To: References: Message-ID: Please note that the submission deadline of WCCI has been extended to Jan 29th. 29 January 2024:Paper Submission Deadline ________________________________ From: Joni Zhong Sent: Wednesday, January 10, 2024 3:53:00 pm To: Connectionists at cs.cmu.edu ; robotics-worldwide at lists.kit.edu ; uai-request at engr.orst.edu ; ai4mch at maillist.ox.ac.uk ; robotics-australia-nz-list at lists.csiro.au ; hri-group at lists.andrew.cmu.edu Subject: [Meetings][CFP] WCCI 24 Special Session: Machine Learning in Rehabilitation WCCI 2024 Special Session: Machine Learning in Rehabilitation Venue: Yokohama, Japan Important Dates: 15 January 2024:Paper Submission Deadline 15 March 2024: Paper Acceptance Notification 1 May 2024: Final Paper Submission & Early Registration Deadline 30 June - 5 July 2024: IEEE WCCI 2024 [Apologies for cross-posting] Rehabilitation, denoting the restoration of physical and cognitive functions following injury or illness, stands to derive substantial benefit from the integration of machine learning (ML) and big data. Given its longitudinal nature and the involvement of a multidisciplinary team, ML advancements present significant potential for applications in rehabilitation. Specifically, with the evolution of deep learning and sensing technologies, ML can proficiently analyze and interpret body movements, speech patterns, and cognitive activities, thereby providing comprehensive assessments in rehabilitation settings. In the close interplay of physiological and psychological dimensions within rehabilitation, ML technologies also emerge as pivotal, such as robotic exoskeletons, interactive robots, and extended reality (xR) systems, capable of adapting in real-time based on a patient's progress, thereby providing a dynamic and responsive rehabilitation experience. Accurate measurement facilitated by ML not only informs healthcare specialists of physical progress but also instills motivation in patients to actively engage in their rehabilitation journey. This special session in WCCI 2024 welcomes discussions and explorations of the multifaceted applications and future developments of ML in rehabilitation and healthcare applications. Please submit your contribution via https://edas.info/newPaper.php?c=31628&track=121739 and choose the special session ?Machine Learning in Rehabilitation?. Main topics but not limited to: ML-Driven Personalized & Optimizing Rehabilitation Adaptive Technology Integration Human-robot Interaction Human-computer Interaction Data-driven Clinical Decision-Making Predictive Analytics for Progress Monitoring Patient Monitoring and Feedback Monitoring Health Indicators Virtual Assistants and Companion Robots Human Factors and Ergonomics Gamification for Engagement Intelligent Tutoring Systems Serious Game Organizers: Junpei Zhong, The Hong Kong Polytechnic University, Hong Kong Chu Kiong Loo, Universiti Malaya, Malaysia Sao Mai Nguyen, ENSTA Paris, France Sum Yuet Joyce Lau, The Hong Kong Polytechnic University, Hong Kong Corresponding Email: joni.zhong at polyu.edu.hk -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Thu Jan 25 09:18:43 2024 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Thu, 25 Jan 2024 14:18:43 +0000 (UTC) Subject: Connectionists: AIMSA2024 2nd CFP References: <2046741197.794305.1706192323671.ref@mail.yahoo.com> Message-ID: <2046741197.794305.1706192323671@mail.yahoo.com> 19thInternational Conference on Artificial Intelligence: Methodology, Systems,Applications (AIMSA)Golden Sands resort, Varna, Bulgaria, 18-20th September, 2024 web site: http://www.aimsaconference.org Initiated in 1984, thebiennial Artificial Intelligence: Methodology, Systems, Applications (AIMSA)conference is a premier single-track forum for exchanging information andresearch results on theory and principles of artificial intelligence (AI) alongwith real-world applications of intelligent systems technology. The conferencetraditionally brings together researchers and practitioners in all areas of AIfrom both the academia and industry to meet and share their ideas andexperiences and learn about the recent trends and developments in contemporaryAI. The 19th edition ofAIMSA will be held in the beautiful Golden Sands resort near Varna, Bulgaria.With its mild climate and excellent opportunities for outdoor activities, watersports and gastronomy, Golden Sands promise to be a wonderful venue for amemorable conference. TOPICSTheconference?is looking for submissions offering innovative methods, systemsand applications that demonstrate efficiency and sustainability for the futureof AI.?Efficiency?can be demonstrated against current andtraditional methods, systems and applications. Sustainability?relatesto the required resources, computational power, human wellbeing, positiveimpact on science and the society.? The conference will have three streams, namely:1. Innovativemethods for?efficient?and?sustainable?AI2. Systems forthe development and the implementations of?efficient?and?sustainable?AI3. Novel?efficient?and?sustainable?AIapplications All submissions will be subject to a single-blindacademic peer review by at least?three?members of the program committee. Selection criteriainclude accuracy and originality of ideas, clarity and significance of results,and quality of presentation. The author(s) of the best paper (which will be selected based on the votes ofthe attendees) of the conference will receive the Best Paper Award during theconference. PROCEEDINGSTheAIMSA 2024 Proceedings will be published by Springer Nature in their LectureNotes in Artificial Intelligence subline of the Lecture Notes in ComputerScience series. LANGUAGE The official language of the conference isEnglishKEYNOTESPEAKERS Plamen Angelov(Lancaster Intelligent, Robotic and Autonomous systems(LIRA) Centre, Lancaster University) - BringingDeep Learning and Reasoning Closer Zeng-Guang Hou(State Key Lab of Management and Control for Complex Systems, Institute ofAutomation, Chinese Academy of Sciences) - AI and BCI Based Interaction Control Methodsfor Robotics Giacomo Indiveri (Universityof Zurich and ETH Zurich, Switzerland) - Neuromorphic Intelligence: spiking neuralnetwork and on-line learning circuits for brain-inspired technologies IMPORTANT DATESSubmission deadline: May 24, 2024Notification of acceptance: July 1,2024Deadline for camera-ready: July 15,2024Conference: September 18-20 2024 LOCATIONGolden Sands is a modern resort withtraditions, and history going back 50 years. A unique blend of lovely naturepark, warm sea, and fine golden sand! Golden Sands is the winner of a"Blue Flag" - a prestigious international award for environmentallyclean resorts. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kalel.luiz.rossi at uni-oldenburg.de Thu Jan 25 08:46:12 2024 From: kalel.luiz.rossi at uni-oldenburg.de (Kalel Luiz Rossi) Date: Thu, 25 Jan 2024 13:46:12 +0000 Subject: Connectionists: Call for Papers: Metastable Dynamics in Physiological Networks Message-ID: <7d53be2283fc4d60ba49f8b0bd3309e1@uni-oldenburg.de> Dear colleagues We are writing to kindly invite you to submit a manuscript to the Research Topic Metastable Dynamics in Physiological Networks, being published in the journal Frontiers in Network Physiology: https://www.frontiersin.org/research-topics/60634/metastable-dynamics-in-physiological-networks. Metastability, characterized by long-lived but transient states, is ubiquitous in physiological networks. But many challenges remain to understand the dynamics behind such behavior, its characterization from observations, and how it can be predicted and controlled, with potential applications to topics such as seizures, sleep, UP and DOWN cortical states, computations in the neural circuits, and cardiac arrhythmias. This Topic aims to select important contributions to the understanding of metastability from a wide variety of fields, such as neuroscience, dynamical systems theory, machine learning, control theory, and data analysis. Given your expertise in these fields, we believe you could provide an important contribution. Would you be interested in participating? Topic Editors * Kalel Rossi, * Aneta Koseska, * Joana Cabral, * Klaus Lehnertz. Deadlines * Manuscript Summary Submission Deadline: 31 January 2024 (optional). * Manuscript Submission Deadline: 20 May 2024. For more details, please check the link above or respond to this email with questions! Best regards Kalel Rossi -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Thu Jan 25 09:31:08 2024 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Thu, 25 Jan 2024 14:31:08 +0000 Subject: Connectionists: Trust in Artificial Intelligence: Beyond Interpretability at ESANN 2024 Message-ID: CFP: " Trust in Artificial Intelligence: Beyond Interpretability" at ESANN 2024 Special session at European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2023). 9-11 October 2024, Bruges, Belgium. http://www.esann.org DESCRIPTION: Trustworthiness is a central issue in modern machine learning and deep learning. This has been further exacerbated by recent exposure of the general public to generative models. Often, discussions related to trust are limited to interpretability and explainability, but such properties are not sufficient. This special session aims to go beyond and explore recent ideas to achieve trust in AI. Topics of interest of the special session include (but are not limited to): ? new formalisms to enable trust-by-design in AI (e.g., blending logics and deep learning, inference methods based on model checking and other software engineering techniques...); ? innovative techniques for interpretability and explainability; ? constraint enforcement to increase trust in black box models; ? interactive techniques to manipulate models (i.e., to add user feedback in learning); ? certification and testing techniques to increase trust in AI; ? theoretical models of trust in AI, including those based on cognitive sciences; ? Interactions (e.g., trade-offs, privacy ) between privacy and trust in AI; ? empirical studies (inc. user studies) related to trust in AI. Interdisciplinary works are particularly welcome. All papers will be submitted to a peer review process. Accepted papers will be presented as either talks or posters, in order to favour interaction with the ESANN attendees. There is no difference in quality between talks and posters and all papers will be published in the conference proceedings. At least one author is expected to register for the conference and pay the registration fee. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided on https://www.esann.org/node/6. Author guidelines are available on https://www.esann.org/author_guidelines. Each paper will undergo a peer reviewing process for its acceptance. Authors should send an e-mail with the tentative title of their contribution to the special session organizers as soon as possible. IMPORTANT DATES: Paper submission deadline: 2 May 2024 Notification of acceptance: 16 June 2024 The ESANN 2023 conference: 9-11 October 2024 SPECIAL SESSION ORGANISERS: ? Tassadit Bouadi - Universit? de Rennes, France - tassadit.bouadi at irisa.fr ? Beno?t Fr?nay - UNamur, Belgium - benoit.frenay at unamur.be ? Luis Gal?rraga - INRIA/IRISA, France - luis.galarraga at inria.fr ? Pierre Geurts - ULi?ge, Belgium - p.geurts at uliege.be ? Barbara Hammer - Bielefeld University, Germany - bhammer at techfak.uni-bielefeld.de ? Gilles Perrouin - UNamur, Belgium - gilles.perrouin at unamur.be -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Thu Jan 25 09:46:25 2024 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Thu, 25 Jan 2024 14:46:25 +0000 Subject: Connectionists: Call for Applications & Help Promote: Gatsby Bridging Programme (Maths Summer School) Message-ID: <1D5DA5DF-396F-407F-A2D3-9AD48977EE51@ucl.ac.uk> Application deadline: 23 February 2024 (We may need to stop accepting applications before this date if the number received exceeds our capacity to review.) Programme dates: 24 Jun - 9 Aug 2024 (London, UK) Programme details: www.ucl.ac.uk/gatsby/study-and-work/gatsby-bridging-programme The Gatsby Computational Neuroscience Unit at UCL is running the Gatsby Bridging Programme - an intensive, 7-week mathematics summer school. The programme is designed for penultimate/final-year undergraduates and Master?s students (incl. recent graduates) who aspire to pursue a postgraduate research degree in Theoretical Neuroscience or Machine Learning but whose degree course does not have a strong mathematical focus. Participants will attend in-person lectures/tutorials/problem-solving sessions to develop mathematics skills and intuition necessary to enter both fields and have the opportunity to interact with our researchers. We aim to be inclusive and to increase the diversity of students entering both fields. Thus, we strongly encourage applications from students in underrepresented groups in Science, Engineering, Technology and Mathematics. A limited number of bursaries are available to students who may find it difficult to participate for financial reasons. We would also appreciate it if you could help us reach students who may benefit from this programme. Here are some ways you can help us spread the word: * Distributing the Call for Applications email among colleagues and interested students. * Sharing our posts on social media: - X/Twitter: twitter.com/GatsbyUCL/status/1747929384135127272 - Mastodon: neuromatch.social/@GatsbyUCL/111776402260388914 - LinkedIn: www.linkedin.com/posts/i-chun-lin-49270817_mathematics-summerschool-theoreticalneuroscience-activity-7153691881317486592-DxXF?utm_source=share&utm_medium=member_desktop Thank you for any support you are willing to give us. If you have any questions, please don?t hesitate to get in touch. Best, I-Chun -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Thu Jan 25 15:14:35 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Thu, 25 Jan 2024 21:14:35 +0100 Subject: Connectionists: Sony AI: Vacancy for (Junior) Infrastructure Engineer in Barcelona Message-ID: Sony AI are seeking a (Junior) Infrastructure Engineer in Barcelona. In this position you will work with research scientists in an ambitious project where you will develop our AI/ML platform infrastructure. See the full JD for details regarding tasks, requirements, and the overall setting: https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Barcelona/Junior-Infrastructure-Engineer_JR-115782 If you have questions, feel free to reach out to tarek.besold at sony.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Thu Jan 25 19:45:31 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Fri, 26 Jan 2024 00:45:31 +0000 Subject: Connectionists: ACM UMAP 2024 - 2nd Call for Doctoral Consortium Papers Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-doctoral-consortium-papers/ ACM UMAP 2024 - Call for Doctoral Consortium Papers ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. The ACM UMAP 2024 Doctoral Consortium (DC) will take place as part of the conference. The DC provides an opportunity for doctoral students to explore and develop their research interests under the guidance of distinguished researchers and industry practitioners from the field. Doctoral students are invited to apply for presenting their research to experienced scholars who will provide constructive feedback and advice. Students should consider participating in the DC if they are at least one year away from completing their dissertation at the time of the event, but after having settled on a research area or dissertation topic. This forum will provide doctoral students with an opportunity to: * Present and discuss their research ideas to experienced scholars in a supportive, formative, and yet critical environment. * Explore and develop their research interests under the guidance of distinguished researchers from the field who will provide constructive feedback and advice. * Explore career pathways available after completing their doctoral degree. * Network and build collaborations with other members of the community. Students are asked to submit a brief proposal outlining their doctoral research (see detailed requirements below), which will be evaluated by the doctoral consortium committee. Good quality applications will be selected for presentation at a DC session as part of the conference. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student?s work. A mentoring session will take place during the conference, and the DC students are expected to attend. ** Important Dates ** Paper Submission: March 28, 2024 Notification: April 26, 2024 Camera-ready Submission (TAPS system): May 9, 2024 Conference: July 1 ? 4, 2024 DC Day: July TBD, 2024 (it will happen in one of the conference days) Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All submissions must be written in English. Submissions should be a single PDF document consisting of: (i) the recommendation letter, (ii) the research description, and (iii) the curriculum vitae. This PDF document should be submitted electronically through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Doctoral Consortium Papers? track. ** Length and Formatting ** Format and Content Guidelines. Consult the ACM UMAP 2024 general call for full and short papers concerning the key topics of this call as well. Each proposal should be a single PDF document, with three required components: (i) a recommendation letter, (ii) a description of your doctoral path, (iii) and a curriculum vitae. If you are unable to obtain a letter of recommendation from your dissertation advisor, please include a short explanation. Specifically, for each component, please consider the following instructions: 1. Letter of Recommendation (from your primary dissertation advisor, in any format): * Describe your interaction with the student and your assessment of the quality of their work. Explain how the ACM UMAP 2024 doctoral consortium would benefit this student at this point in their doctoral program, as well as the contributions you expect the student to make to the group. * The DC targets students who have a clear idea of their research plans and have started their research but have not yet executed a majority of their research. Please explain the structure of your student?s program and their expected level of progress by July 2024. * Recall that students who are unable to obtain a letter of recommendation from their dissertation advisor (or the equivalent) should instead include a short explanation and a description of where the student is in their doctoral progress and the anticipated timeline. 1. Research description (6 pages at most plus additional pages for references; figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit): using a single-column manuscript formatted according to the guidelines discussed below, please include the following: * Your name, advisor(s) name(s), and the university where you are conducting your doctoral work. * Current year of study and projected completion date (plus information about the regulations of your doctoral program regarding length, any part-time study, etc.). * Context and motivation for your research. * Key related work that frames your research. * Specific research objectives, goals, or questions. * Research approach, methods, and rationale. * Results and contributions to date. * Expected next steps. * Dissertation status and long-term goals. 1. Curriculum vitae (2 pages at most, in any format): a concise summary of your current curriculum vitae, including research publications. Clearly separate published papers from those under review or in press. Please ensure that your submission is complete and conforms to the format and content guidelines above. Submissions that do not meet these requirements will be desk-rejected. *Single-Blind Policy*. Proposals will be reviewed single-blind and, therefore, do not need to be anonymized before submission. *Template for the Research Description*. Following the ACM Publication Workflow, the research description component should be arranged based on the new ACM single-column format. Instructions for students are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Accessibility*. DC students are strongly encouraged to provide ?alt text? (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author?s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures. *Submission Policy*. Please consider the following ACM?s publication policies: 1. ?By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM?s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.? 2. ?Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.? *Camera-ready Information*. Accepted proposals (i.e., the research description component) will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted proposal in the doctoral consortium track must be accompanied by a distinct full author registration, completed by the doctoral student by the early registration date cut-off. Each accepted proposal must be presented in person in the doctoral consortium session to be included in the conference proceedings, published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Financial Support ** ACM UMAP has a long history of supporting students who want to attend the conference. Doctoral students of the accepted DC proposals will have higher priority for the ACM UMAP grant applications. Please periodically consult the page that summarizes grants and support opportunities, available at https://www.um.org/umap2024/grants-and-support/. ** Doctoral Consortium Chairs ** * Martijn C. Willemsen, Eindhoven University of Technology & JADS, The Netherlands * Styliani Kleanthous, CYENS CoE and Open University of Cyprus, Cyprus * Rodrygo Santos, Universidade Federal de Minas Gerais, Brazil Contact information: umap2024-dc at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Fri Jan 26 00:40:10 2024 From: maanakg at gmail.com (Maanak Gupta) Date: Thu, 25 Jan 2024 23:40:10 -0600 Subject: Connectionists: Fwd: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems In-Reply-To: References: Message-ID: Dear Colleagues, ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS) aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. The workshop will be held in Porto, Portugal (or virtually) on June 21, 2024 in conjunction with the 14th ACM Conference on Data and Application Security and Privacy (CODASPY 2024). *** Paper submission deadline: February 25, 2024 *** *** Website: https://sites.google.com/view/sat-cps-2024/ *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, June 21, 2024, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2024 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: February 25, 2024 Notification of acceptance to authors: March 25, 2024 Camera-ready of accepted papers: April 1, 2024 Workshop day: June 21, 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Fri Jan 26 11:31:18 2024 From: efipatm at gmail.com (Efi) Date: Fri, 26 Jan 2024 18:31:18 +0200 Subject: Connectionists: CALL for Spring 2024 International AI Doctoral Academy (AIDA) course proposals Message-ID: Dear distinguished AI Professor or Senior Scientist (PhD holder), the International AI Doctoral Academy (AIDA) aims to become a reference initiative for AI education in Europe and implement mechanisms for inter-university sharing of AI educational assets at PhD-level. As part of the program, AIDA offers a series of courses on Artificial Intelligence and related fields given by distinguished lecturers. *We invite you to contribute to this initiative for the definition of the AIDA Spring 2024 semester program*. You can participate in the AIDA program by offering new or opening-up existing courses targeted to AIDA students* or other students worldwide according to the participation terms of your own organization. Short/Very Short course formats (5-16 hours) are typically encouraged, while semester courses, or asynchronous mode web courses will be considered as well. Accepted courses will be listed on AIDA website ( https://www.i-aida.org/) and will be advertised for free with the support of AIDA dissemination channels. Proposals for courses for the AIDA Spring 2024 semester program should be sent to: Prof. Prof. Stefano Berretti stefano.berretti at unifi.it, and Ms. Efi Patmanidou epatman at csd.auth.gr no later than *January 31st, 2024* and will be evaluated by the AIDA Committee by *February 10th, 2024*. Proposals for AIDA Courses should include (pls, fill in the attached document): *Course title:* *Lecturer name & affiliation:* *Host Institution:* *Content and organization: *Course details about the content. 1 paragraph *Level: *(Undergraduate/Postgraduate) *Course Duration: *Hours *Course Type: *(Short/Semester/Lecture series/Seasonal School*)* *Participation terms: **Registration fee policy for external (non-AIDA) students*, e.g., free of charge or fee of ??? Euros. *Special terms for AIDA students*, e.g., discount 50% or free for X number of AIDA students. *Add text for a) non-AIDA student registration and AIDA student registration/enrollment, as in (6) below.* *Lectures plan: *Days/time *Proposed schedule: *Start date ? End date *Language: *English/Other *Modality: *Online/in person *Notes: *Are there exams? Details on how to successfully complete the course. 1-2 sentences. *Course Link:* *AIDA students may be PhD students, post-doc researchers, possibly qualified MSc students or professionals of AIDA Members Best regards, Stefano Berretti AIDA course planning _______________________________ Prof. Stefano Berretti, Ph.D. Media Integration and Communication Center (MICC) & Department of Information Engineering (DINFO) University of Florence via S. Marta 3 - 50139, Florence - ITALY email: stefano.berretti 'at' unifi.it phone: +39 055 275852 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: AIDA COURSE APPLICATION FORM.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 21199 bytes Desc: not available URL: From maria.m.hedblom at gmail.com Fri Jan 26 08:27:56 2024 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Fri, 26 Jan 2024 14:27:56 +0100 Subject: Connectionists: [CfP] 1st Call for Contributions to WISDOMS - ethics, values and knowledge graphs @ESWC24, May 26-30, Hersonissos (GR) Message-ID: [Apologies for potential crossposting] We are excited to announce the call for papers for WISDOMS 2024, a workshop focusing on the integration of data semantics, ontologies, moral values, and their societal impact. *About the Workshop:* The growing influence of AI in our daily lives has transformed both the digital landscape and the way we generate, extract and represent information. The surge in using Large Language Models (LLMs) not only in academia and industry but among the public, has made it increasingly important to address the alignment of AI tools to moral and cultural human values. Despite ongoing governmental work on developing ethical guidelines and practical requirements for AI, for academic and industrial applications there is a particular importance to ensure that the research respective practical methods follow ethical practices and that the outcomes do not conflict with moral values. As hybridizing knowledge structures and semantic data with generative AI has a high impact potential for the development of increasingly more complex and intelligent systems, it becomes of the utmost importance that such innovation adheres to the EU?s objective of realizing AI applications that are dependable, robust, explicable, ethically guided, and therefore trustworthy. The first edition of *WISDOMS, the Workshop on Integrating the Semantics of Data, Ontologies, Moral and cultural values and their Societal impact*, aims to provide an interdisciplinary platform for researchers, practitioners, and those curious enough to explore the convergence of ethics, socio-behavioural norms, moral and cultural values, with hybrid neuro-symbolic knowledge structures and generative AI. Join us in discussing the socio-ethical boundaries of AI innovation! *Important Dates:* - *Submission Deadline:* March 7, 2024 - *Author Notification:* April 4, 2024 - *Final Version Due:* April 18, 2024 - *Workshop Dates:* May 26/27, 2024 *List of Topics:* WISDOMS invite paper contributions related to (but not restricted to) the following areas: - Ethical dilemmas in value knowledge representation - Development of value-centric vocabularies and ontologies - Societal impact of (non-)ethical AI - Moral and cultural value knowledge graphs and semantic resources - Value-driven system design and explainability - Value-sensitive autonomous agents - Neuro-symbolic and hybrid semantic web tools for moral reasoning in AI *Type of Contributions:* We welcome diverse contributions including research papers, case studies, and theoretical explorations that align with the workshop's themes. We accept four types of contributions: - *Full Papers* (10-12 pages excluding references) - *Short Papers* (5-8 pages excluding references) - *Position Papers* (1-4 pages excluding references, not included in the proceedings) - *Extended Abstracts* of recently published papers (1-4 pages excluding references, not included in the proceedings) Submissions must be sent via Easychair and should be formatted in CEUR 1-column format (template available on workshop website). For inclusion in the workshop, at least one of the authors of accepted papers needs to register at ESWC 2024 and participate on-site at WISDOMS. *Location:* WISDOMS is co-located with ESWC 2024 held on the beautiful island city Hersonissos, Crete, Greece. This year, ESWC has the timely theme on Fabrics of Knowledge: Knowledge Graphs and Generative AI. Join us at WISDOMS to add a flair of ethics to the main conference! We look forward to your valuable contributions to a fruitful and thought-provoking discussion on these critical issues. Best regards, Stefano De Giorgis Luana Bulla Maria Hedblom Luc Steels -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Fri Jan 26 11:32:03 2024 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Fri, 26 Jan 2024 16:32:03 +0000 Subject: Connectionists: 3rd CfP 5th workshop on Resources for African Indigenous Language (RAIL) @ LREC-COLING Message-ID: The fifth workshop on Resources for African Indigenous Language (RAIL) Colocated with LREC-COLING 2024 https://bit.ly/rail2024 New: deadline and article submission type Conference dates: 20-25 May 2024 Workshop date: 25 May 2024 Venue: Lingotto Conference Centre, Torino (Italy) The fifth RAIL workshop website: https://bit.ly/rail2024 LREC-COLING 2024 website: https://lrec-coling-2024.org/ Submission website: https://softconf.com/lrec-coling2024/rail2024/ The fifth Resources for African Indigenous Languages (RAIL) workshop will be co-located with LREC-COLING 2024 in Lingotto Conference Centre, Torino, Italy on 25 May 2024. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. Many African languages are under-resourced while only a few of them are somewhat better resourced. These languages often share interesting properties such as writing systems, or tone, making them different from most high-resourced languages. From a computational perspective, these languages lack enough corpora to undertake high level development of Human Language Technologies (HLT) and Natural Language Processing (NLP) tools, which in turn impedes the development of African languages in these areas. During previous workshops, it has become clear that the problems and solutions presented are not only applicable to African languages but are also relevant to many other low-resource languages. Because these languages share similar challenges, this workshop provides researchers with opportunities to work collaboratively on issues of language resource development and learn from each other. The RAIL workshop has several aims. First, the workshop brings together researchers who work on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop has ?Creating resources for less-resourced languages? as its theme, but submissions on any topic related to properties of African indigenous languages (including non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, may consist of up to eight (8) pages of content for a long submission and up to four (4) pages of content for a short submission plus additional pages of references. The final camera-ready version of accepted long papers are allowed one additional page of content (up to 9 pages) so that reviewers? feedback can be incorporated. Papers should be formatted according to the LREC-COLING style sheet (https://lrec-coling-2024.org/authors-kit/), which is provided on the LREC-COLING 2024 website (https://lrec-coling-2024.org/). Reviewing is double-blind, so make sure to anonymise your submission (e.g., do not provide author names, affiliations, project names, etc.) Limit the amount of self citations (anonymised citations should not be used). The RAIL workshop follows the LREC-COLING submission requirements. Please submit papers in PDF format to the START account (https://softconf.com/lrec-coling2024/rail2024/). Accepted papers will be published in proceedings linked to the LREC-COLING conference. Important dates: Submission deadline: 23 February 2024 Date of notification: 15 March 2024 Camera ready deadline: 29 March 2024 RAIL workshop: 25 May 2024 Organising Committee Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Muzi Matfunjwa, South African Centre for Digital Language Resources (SADiLaR), South Africa Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From drarunraj at gmail.com Fri Jan 26 10:34:13 2024 From: drarunraj at gmail.com (Arun Antony) Date: Fri, 26 Jan 2024 10:34:13 -0500 Subject: Connectionists: Post doc fellowship position at Jersey Shore University Medical Center, New Jersey, USA Message-ID: The Neuroscience Institute at Jersey Shore University Medical Center, New Jersey, USA is seeking a postdoctoral fellow to work on basic, clinical, and translational projects in the fields of seizures, epilepsy, human intracranial EEG, signal processing, cognition and consciousness. The fellow will join a multidisciplinary team of five epileptologists, neurosurgeons, epilepsy nurses, nurse practitioners, neuropsychologists and researchers providing holistic care to patients with epilepsy. The post doctoral fellows will have access to the large clinical, imaging, and EEG data bases, and outcome measures of cutting edge treatment modalities within the system for research purposes. The successful candidate will be well versed in data collection, processing, programming and will lead an independent research project working closely with collaborators and publish high-quality research. Qualifications ? PhD in neuroscience, imaging, machine learning, data science or signal processing. ? US citizen or permanent resident Responsibilities ? Lead an independent research project. ? Work closely with collaborators and an interdisciplinary team consisting of Epileptologists, Neurologists, Neurosurgeons, and researchers. ? Conduct research in seizures, epilepsy, human intracranial EEG, cognition and consciousness. ? Data collection, processing, and programming. ? Publish high-quality research and present at national and international conferences. Contact Arun Antony MD Director, Division of Epilepsy Jersey Shore University Medical Center, Neptune, New Jersey, USA 07753 *Epilepsy at hmhn.org * -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Fri Jan 26 12:38:42 2024 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Fri, 26 Jan 2024 18:38:42 +0100 Subject: Connectionists: CFP: Final call - 15th International Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond Message-ID: -- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de /// Final call ... deadline on 31.01.2024 approaching. Looking forward to your submissions. /// Confirmed invited speakers: - John Aldo Lee - University catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Call for papers WSOM+ Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM IMPORTANT DATES: - Extended paper submission deadline: 31 January 2024 - Notification of acceptance: 15 March 2024 - The WSOM+ 2024 conference: 10-12 July 2024, Mittweida, Germany Submission details and other information at: wsom.si-cim.de Submission is done using conftool - see: https://www.conftool.org/wsom2024 All the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From sara.magliacane at gmail.com Fri Jan 26 13:29:55 2024 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Fri, 26 Jan 2024 19:29:55 +0100 Subject: Connectionists: [jobs] 2 PhD positions at University of Amsterdam in causality and reinforcement learning for fintech (Deadline: 11 March) Message-ID: Are you interested in applying ideas from causality, causal machine learning and reinforcement learning in the context of financial data? Are you excited about investigating fundamental questions in causality or RL, but also evaluating practical feasibility on real-world complex data in the fintech domain? The AMLab group (https://amlab.science.uva.nl/) at the University of Amsterdam (www.uva.nl) is looking for two motivated PhD candidates interested in AI4Fintech in the domain of causal machine learning and reinforcement learning. This project is in a collaboration with Adyen ( https://www.adyen.com). One PhD student will focus on causal machine learning in the context of financial transaction data. This student will work on learning causal drivers of user behaviour through reusing existing A/B test results and designing new sample efficient experiments. This position will be supervised by dr. Sara Magliacane (https://saramagliacane.github.io/). Another student will work on novel reinforcement learning techniques to improve decision making about transactions. This requires dealing with a complex, combinatorial action space, and off-policy learning and evaluation. This position will be supervised by dr. Herke van Hoof ( https://staff.fnwi.uva.nl/h.c.vanhoof/homepage/). Both positions will be evaluated in a joint application process. Deadline: 11 March 2024 For more information and to apply, follow this link: https://vacatures.uva.nl/UvA/job/2-PhD-positions-on-causal-machine-learning-and-reinforcement-learning-for-FinTech/785937402/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From julian at togelius.com Fri Jan 26 14:05:40 2024 From: julian at togelius.com (Julian Togelius) Date: Fri, 26 Jan 2024 14:05:40 -0500 Subject: Connectionists: AI and Games Summer School 2024, June 17-21 - Registration Open! Message-ID: We are happy to announce that the 6th edition of the AI and Games Summer School will be held in *Valletta, Malta *and will will take place* 17 to 21 June, 2024*! https://school.gameaibook.org/ The summer school is dedicated to the uses of AI in and for games including AI for playing and testing games, for generating game content, and for modeling players. Our program already features talks and workshops from* Keywords Studios, Ubisoft, Arm, Modl.ai,* and a number of independent game AI developers, with more joining soon. Our event has attracted collectively nearly a thousand participants who have fun learning about the various uses of AI in games and implementing their own cool projects! Graduate students, research staff and faculty, and industry professionals are welcome to register by *March 1* (early bird) by visiting the summer school page! *https://school.gameaibook.org/#registration * If you have any questions please don't hesitate to contact us at school at gameaibook.org! We hope to see you all this June in sunny and beautiful Valletta! Best regards, Summer School on AI and Games Organisers -- Julian Togelius Associate Professor, New York University Department of Computer Science and Engineering mail: julian at togelius.com, web: http://julian.togelius.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaffedax at gmail.com Sun Jan 28 04:37:39 2024 From: jaffedax at gmail.com (Sagi Jaffe-Dax) Date: Sun, 28 Jan 2024 11:37:39 +0200 Subject: Connectionists: International MSc program in Neuroscience at TAU - Application for 2024-25 is open! In-Reply-To: References: Message-ID: The *International M.Sc. Program at The Sagol School of Neuroscience , 2024-25, at Tel Aviv University* is open for applications! This two-year program will provide you with the interdisciplinary thinking and knowledge to join the next generation of world-leading neuroscientists. Held at the renowned Sagol School of Neuroscience, the program will train you in the latest cutting-edge neuroscience fields related to biology, psychology, engineering, and other related fields. *Program Highlights:* ? Expand your *knowledge in specific neuroscience areas of research*, while enjoying access to *over 150 laboratories* associated with the Sagol School. ? Take advantage of both an *empiric experience as part of a research thesis*, and a variety of *knowledge-expanding classes*. ? Benefit from an *enhanced living scholarship* and a *full-tuition exemption*! ? Learn *advanced quantitative methods.* *Tuition:* If accepted, tuition and living assistance will be covered. *Admissions Requirements:* An average of 88 or above (Israeli scale) in a B.Sc. or B.A. in neuroscience, life sciences, psychology, or any other degree like exact sciences, engineering, or linguistics. See Admission Requirements for detailed admission information. *Registration for 2024-25 is due to close on March 20, 2024.* Open an online profile (at TAU International Student Portal ) and submit the relevant documents there. Apply now! Please don't hesitate to reach out if you have any questions. Kind regards, Orly Segev Program Coordinator *Sagol MSc International Program * sagolmsc at tauex.tau.ac.il -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Sat Jan 27 06:00:51 2024 From: rava at ens.fr (Rava A. da Silveira) Date: Sat, 27 Jan 2024 12:00:51 +0100 Subject: Connectionists: Summer school "Cognitive Foundations of Decision-Making" in Rabat, Marocco Message-ID: Applications are open for the interdisciplinary summer school ?*Cognitive** Foundations of Decision-Making.?* The summer school is aimed at young scholars interested in decision-making in general, and the neural and cognitive foundations of decision-making in particular. The summer school will be held on *July 22?27, 2024*, on the beautiful campus of University Mohammed VI Polytechnic, in Rabat, Morocco. Information, including details on how to apply, can be found at https://www.rislab.net/summerschool. The lecturers will include Larbi Alaoui (Universitat Pompeu Fabra), Rava Azeredo da Silveira (ENS and University of Basel), Peter Bossaerts (University of Cambridge), Joseph Kable (University of Pennsylvania), Rafael Polania (ETH Zurich), Ryan Webb (University of Toronto). -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Jan 28 07:18:54 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 28 Jan 2024 14:18:54 +0200 Subject: Connectionists: World wide VVTNS series: Wednesday, January 31 at 11am (ET), Jonathan Kadmon | The Hebrew University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Jonathan Kadmon The Hebrew University on the topic of "Neural mechanisms of adaptive behavior" The lecture will be held on zoom on *January 31, 2024*, at *11:00 am ET * https://u-paris.zoom.us/j/87296214746?pwd=V3oyZ1JaQUxWVWp1TS9LS0ZiM0xiQT09 Id: 872 9621 4746 Passwd: 688274 *Abstract:* Animals and humans rapidly adapt their behavior to dynamic environmental changes, such as predator threats or fluctuating food resources, often without immediate rewards. Existing literature posits that animals rely on internal representations of the environment, termed ?beliefs?, for their decision policy. However, previous work ties belief updates to external reward signals, which does not explain adaptation in scenarios where trial-and-error approaches are inefficient or potentially perilous. In this work, we propose that the brain utilize dynamic representations that continuously infer the state of the environment, allowing it to update behavior rapidly. I will present a Bayesian theory for state inference in a partially observed Markov Decision Process with multiple interacting latent variables. Optimal behavior requires knowledge of hidden interactions between latent states. I will show that recurrent neural networks trained through reinforcement solve the task by learning the hidden interaction between latent states, and their activity encodes the dynamics of the optimal Bayesian estimators. The behavior of rodents trained on an identical task aligns with our theoretical model and neural network simulations, suggesting that the brain utilizes dynamic internal state representation and inference. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From sebastien.destercke at hds.utc.fr Mon Jan 29 05:41:49 2024 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Mon, 29 Jan 2024 11:41:49 +0100 Subject: Connectionists: Next SIPTA Seminar: 31st January at 3pm Paris Time Message-ID: Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 31st of January (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86165930800 For this new seminar, we are very happy to have Matthias Troffaes as our speaker. Matthias Troffaes is Professor in the Department of Mathematical Sciences, and is a past SIPTA president, as well as the co-author of the book Lower previsions. Matthias Troffaes is both interested in the theory and practice of imprecise probabilities, having made fundamental core contributions to the theories of imprecise probabilities, as well as having applied them to environmental or engineering issues such as land crop management or the wind industry. On the 31st of January, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Fundamentally finitary foundations for probability and bounded probability?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 31st of January, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=rBgehsbawVY See you at the seminar! S?bastien, Enrique and Jasper From efipatm at gmail.com Mon Jan 29 03:18:58 2024 From: efipatm at gmail.com (Efi) Date: Mon, 29 Jan 2024 10:18:58 +0200 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof. Dr. Markus Reichstein: "Deep learning and Process Understanding for Data-Driven Earth System Science", 30th January 2024, 17:00 CET Message-ID: Dear AI scientist/engineer/student/enthusiast, Professor Dr. Markus Reichstein will deliver the e-lecture: "*Deep learning and Process Understanding for Data-Driven Earth System Science*" on *30th January 2024, 17:00 CET.* See details in: https://www.i-aida.org/events/deep-learning-and-process-understanding-for-data-driven-earth-system-science/ Location: The seminar will be delivered online via *zoom*: https://authgr.zoom.us/j/98231850331?pwd=SXQrdms3VDd0U1diZWpISTc5YkdTUT09 Meeting ID: 982 3185 0331 Passcode: 405011 The *International AI Doctoral Academy (AIDA)* , a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by: - Top highly-cited senior AI scientists internationally or - Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From pitas at csd.auth.gr Mon Jan 29 11:03:03 2024 From: pitas at csd.auth.gr (pitas at csd.auth.gr) Date: Mon, 29 Jan 2024 18:03:03 +0200 Subject: Connectionists: =?utf-8?q?Two_fully_funded_postdoctoral_research_?= =?utf-8?q?positions_on_=22Machine_Learning_and_Computer_Vision=22_?= =?utf-8?q?and_the_=E2=80=9CInternational_Artificial_Intelligence_D?= =?utf-8?q?octoral_Academy_=28AIDA=29=E2=80=9D_in_AIIA_Lab=2C_Arist?= =?utf-8?q?otle_University_of_Thessaloniki=2C_Greece=2E?= References: <20240129172419.Horde.X9yO0Oroe2Zkq3hVhbR32Id@webmail.auth.gr> Message-ID: <010501da52cc$a4b321e0$ee1965a0$@csd.auth.gr> The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab, AIIA.CVML R &D group) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has two open postdoctoral research positions. The interested applicant must have strong theoretical and/or applied/programming background in Machine Learning and Computer Vision, with an emphasis on Deep Learning. A strong publication record is desirable. Potential (not exclusive) application domains include big data analysis, robotics/autonomous systems and digital media. A very competitive salary is offered. Research topics: * Extreme visual and social media data analytics for natural disasters * Visual drone-based industrial pipeline inspection * Deep digital media analysis * New decentralized deep learning methods * Fast embedded drone visual analysis * Support International Artificial Intelligence Doctoral Academy (AIDA ) Horizon Europe projects that fund these positions: TEMA Horizon Europe Project (2022-2026) SIMAR Horizon Europe Project (2022-2025) AI4Media Horizon 2020 Project and International Artificial Intelligence Doctoral Academy (AIDA ) Application The interested candidate must send their CV by e-mail to Prof. Ioannis Pitas pitas at csd.auth.gr . -- This email has been checked for viruses by Avast antivirus software. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Mon Jan 29 20:11:26 2024 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Mon, 29 Jan 2024 20:11:26 -0500 Subject: Connectionists: Call for abstracts: Mathematics of Neuroscience and AI. Rome, 28-31st May 2024. Message-ID: We are delighted to announce our call for abstracts for the 5th International Convention on the Mathematics of Neuroscience and AI, to be held in Rome 28-31st May 2024. In this high-profile convention we examine computational accounts of the brain and mind from the perspectives of biocomputation, neural theory, and cognitive science. We then take findings and theory back into the creation of robust, generalizable, and scalable AI: www.neuromonster.org Keynote Speakers Professor Peter Dayan (Max Planck Institute, T?bingen) Professor Sophie Deneve (ENS, Paris) Professor Wolfgang Maass (TUG) Professor Mackenzie Mathis (EPFL) Professor Anne Collins (UC Berkeley) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) Session Chairs Biocomputation Yasmine Ayman (Harvard) Professor Dan Nicolau Jr (KCL) Neural theory Dr James Whittington (Stanford / Oxford) Dr Francesca Mastrogiuseppe (Champalimaud) Cognitive science Dr Ruairidh Battleday (Harvard / MIT) Dr Antonella Maselli (NRC Italy) AI Dr Ishita Dasgupta (Google DeepMind) Dr Ilia Sucholutsky (Princeton) Confirmed speakers Biocomputation Professor Andrew Adamatzky (UWE) Professor Panayiota Poirazi (FORTH, Crete) Professor Jason Shepherd (Utah) Professor Christine Grienberger (Brandeis) Neural theory Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Dr Sophia Sanborn (USB / UBC) Dr Lea Duncker (Stanford) Cognitive science Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Fred Callaway (NYU / Harvard) AI Professor Kevin Ellis (CMU) Professor Najoung Kim (BU, Google) Dr Andr? Barreto (DeepMind) Dr Maria Eckstein (DeepMind) We invite submissions for each session via this Google form: https://forms.gle/u8tJU4PtkT1EKYte7 These will be accepted for poster, spotlight, or a short talk. The submission format is a single A4 sheet containing (at least) an abstract of 250 words, along with any additional material you think valuable. Submission deadline is 28th February AOE. The convention will be held at the Villa Wolkonsky, in San Giovanni, Rome (10 minutes walk from the Colosseum). A limited number of early-bird registrations have been posted on our website! Normal registration will follow after the submission deadline. We hope that you come and join us! The Organizing Committee. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Mon Jan 29 14:11:26 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Mon, 29 Jan 2024 19:11:26 +0000 Subject: Connectionists: [ACM IUI 2024] Call For Student Volunteers Message-ID: * We apologize if you receive multiple copies of this email * * Online version: https://iui.acm.org/2024/call_for_student_volunteers.html ACM IUI 2024 - Call For Student Volunteers 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ The conference on Intelligent User Interfaces (IUI) is calling for student volunteers to help us for the 2024 conference. ** Benefits of the Student Volunteer Position ** As a student volunteer, you will * receive a complimentary conference registration and the same benefits as other conference attendees. * have the unique opportunity to network with local and international researchers and world leaders in intelligent interfaces. * gain valuable experience for future scientific conferences and grow your connection with the IUI community. * Social events and engagement opportunities ** Eligibility and Selection criteria ** Volunteer positions are competitive due to their limited availability. Applications are open to all undergraduate and postgraduate students interested in intelligent user interfaces and related areas. To join the team as a volunteer, you must be enrolled as a PhD, Masters, or full-time undergraduate student in a related program at the time of the conference, and have good written and spoken English communication skills. Previous experience in conference organization is desired but not required, and the number of volunteers from each region, and institution, may be balanced to ensure broad participation. Underrepresented groups are especially encouraged to apply. Students who have a Doctoral Consortium paper or other paper accepted are given priorities for SV positions. However, a limited number of SV positions are available for local students who are not presenting a paper at the conference. ** Responsibilities ** As a student volunteer, you are expected to * provide up to 20 hours of service during the conference (max 4 hours a day) * show up on time for their assigned tasks * be responsible for assigned tasks * be responsive to timely communication * responsibilities include managing the registration desk, helping set up demo sessions, providing on-site support to the organizing committee, assisting speakers during presentations, supporting as virtual event moderators, providing session support to virtual attendees, and other required activities. ** How to Apply ** To apply to be a student volunteer, please fill out the form ** Travel Grants and Awards Available for SVs ** Gary Marsden Travel Awards (GMTA): The Gary Marsden Travel Awards invite applications from undergraduate and graduate students, early-career researchers (such as those who are ? 5 years post-graduation), and those experiencing financial hardship or lacking institutional support, to attend ACM SIGCHI conferences, including ACM UMAP. Who is eligible to apply? You must be a SIGCHI member at the time of application to be eligible. Read about membership and how to sign up on the SIGCHI website. Please note, ACM membership and SIGCHI membership are not the same. You can check which one you have via MyACM. We will consider no more than one presenter per submission. Also, we will consider no more than one student per advisor, per submission cycle. If we have a large number of applicants, we will prioritize first-time attendees and presenters. Acceptances can include papers, posters/extended abstracts, works in progress, demos, case studies, etc., though we may consider the type of submission if we have many applicants. If you do not have a submission or it has not been accepted yet, however, you can still apply. Overall, we will prioritize applications that demonstrate financial need and compelling benefit to the applicant in attending the conference. For physical travel, each applicant can only receive support once every three years. There are seven deadlines: the 9th of January, February, March, May, July, September, and November at 11:59 PM AoE. ** Important Deadlines ** Application Deadline: February 6th, 2024 ** Contact Information** If you have any questions or concerns, please do not hesitate to contact us through email sv2024 at iui.acm.org. We look forward to meeting and working with you! ** IUI 2024 Student Travels and SV Chairs ** Nina Hubig, Clemson University, USA Wen Duan, Clemson University, USA Subhasree Sengupta, Clemson University, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Tue Jan 30 01:38:13 2024 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 30 Jan 2024 06:38:13 +0000 Subject: Connectionists: Scientist position at the Allen Institute Message-ID: Dear Colleagues, A Scientist position is open at the Allen Institute in the area of biologically realistic modeling. Please see the job description here: https://alleninstitute.org/careers/jobs/?jobId=A95FAC9B-4F0F-044B-5458-CAA4C5839BF5 The Scientist will develop bio-realistic network simulations at the level of a cortical area and the whole cortex, leveraging our multimodal datasets on brain composition and connectivity and training models on in vivo data using AI approaches. The goal is to use modeling together with experiments from our collaborators to understand the mechanisms underlying brain responses to sensory stimulation, including periodic sensory stimuli and the resulting entrainment of neuronal populations. Please consider applying and reach out if you have any questions. We are looking forward to hearing from you. Best wishes, Anton Arkhipov Investigator Allen Institute Seattle, WA antona at alleninstitute.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Tue Jan 30 11:03:10 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Tue, 30 Jan 2024 16:03:10 +0000 Subject: Connectionists: [Jobs] Available Ph.D. Position in Cognitive Robotics / Human-Robot Interaction Message-ID: Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on **15th March 2024* *(The difference in tuition fees between national and international students will be waived for excellent international candidates)*. This exciting project aims to create a robot learning framework that integrates the wide linguistic capabilities of *Large Language Models *(LLMs) with robot perceptual information (e.g., visual and/or haptic perception) for language learning covering *word grounding* and bottom-up *sentence formation*, which can make robots develop language and understand human communication across contexts (*more details and research questions are available in the link below*). More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-learning-with-large-language-models-through-human-robot-interaction PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction at University of Plymouth Find a PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction on jobs.ac.uk, the top job board in higher education. Click to view more! www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics / AI Consultant Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Tue Jan 30 19:15:22 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 31 Jan 2024 00:15:22 +0000 Subject: Connectionists: [ACM IUI 2024] Call For Early Registration Message-ID: * We apologize if you receive multiple copies of this email * * Online version: https://iui.acm.org/2024/registration.html ACM IUI 2024 - Call For Early Registration 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ https://iui.acm.org/2024/index.html ACM Conference on Intelligent User Interfaces (ACM IUI) 2024 is the 29th annual premiere venue, where researchers and practitioners will meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques, and systems. The theme for this year will be Resilience, covering a wide variety of topics, such as COVID-19 recovery, organizational cyber resilience, economic growth and stability, climate change recovery, intelligent user interface resilience, and similar. While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. Thanks for your interest in IUI 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://iui.acm.org/2024/registration.html - Early Registration until Feb 12, 2024 - Standard Registration until Mar 7, 2024 - Onsite Registration after Mar 7, 2024 * Registration Link: https://web.cvent.com/event/9865c85a-e052-4e7e-9947-cf19114283eb/summary Registration for the IUI 2024 full conference includes access to all sessions and workshops. Payment and registration is being handled through a 3rd party provider. If you have questions, please email the registration chair at registration2024 at iui.acm.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Tue Jan 30 14:45:51 2024 From: axel.hutt at inria.fr (Axel Hutt) Date: Tue, 30 Jan 2024 20:45:51 +0100 (CET) Subject: Connectionists: Summer School on Advanced tools for data analysis in neuroscience in Strasbourg / France Message-ID: <1868279990.5124535.1706643951079.JavaMail.zimbra@inria.fr> -------------------------------------------------------------------------- Summer School on Advanced tools for data analysis in neuroscience in Strasbourg, September 12 - 21 , 2024 -------------------------------------------------------------------------- In this summer school, we will focus on several aspects of data preparation and analysis, as well as on the use of simulation and modeling tools capable of generating predictions. These tools will be applied to different data acquisition techniques such as electro-physiological recordings, fluorescence imaging or image series from human brain imaging. There is no registration fees. Accommodation and lunches are also provided with no fees. Travel is not covered. Target audience is Master and PhD students from the University of Strasbourg, French and European universities (including non EU). Priority will be given to students enrolled in a basic or medical neuroscience program, but students from other specialties will be able to participate as long as places are available. Please find more information under [ https://neurostra.unistra.fr/evenements/evenement/news/summer-school-advanced-tools-for-data-analysis-in-neuroscience/ | https://neurostra.unistra.fr/evenements/evenement/news/summer-school-advanced-tools-for-data-analysis-in-neuroscience/ ] -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France https://mimesis.inria.fr/members/axel-hutt/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jesse.grootjen at um.ifi.lmu.de Wed Jan 31 03:40:05 2024 From: jesse.grootjen at um.ifi.lmu.de (Grootjen, Jesse) Date: Wed, 31 Jan 2024 08:40:05 +0000 Subject: Connectionists: CfP - HHAI 2024 [Extended Deadline] - The third International Conference on Hybrid Human-Artificial Intelligence Message-ID: <42369045-8ADB-4A57-8C7B-FDC7940E464D@lmu.de> * We apologize if you receive multiple copies of this email * Call for Participation: HHAI2024 ? The third International Conference on Hybrid Human-Artificial Intelligence June 10-14, 2024, Malm?, Sweden Call for Workshop and Tutorial Proposals & Doctoral Consortium In this message, we shortened each call to their essentials ? the full text of each call is available on the website: https://hhai-conference.org/2024/ Call for Workshop and Tutorial Proposals We invite proposals for two-day, full-day and half-day workshops at HHAI 2024. We also invite tutorials to run alongside the workshops. The workshops and tutorials will form part of the first edition of the HHAI Summer School. The HHAI 2024 workshops and tutorials provide a platform for discussing a topic related to Hybrid Human-Artificial Intelligence with an audience specifically interested in that topic in an informal setting (compared to the main conference). We invite submissions for events that foster cross-disciplinary interaction, scientific discourse, and creative and critical reflection, rather than just being mini-conferences. We offer organizers flexibility on formats that best suit the goals of their event. We also welcome submissions from research communities that may not be prominently featured in AI events and conferences. Important Dates - Workshop and tutorial proposals: January 31, 2024 February 9, 2024 - Proposal acceptance notification: February 7, 2024 February 14, 2024 - Deadline for announcing the Call for Contributions to the workshops: February 14, 2024 February 21, 2024 - Recommended deadline for submissions to the workshops: April 10, 2024 - Recommended deadline for notifications on the submissions: May 2, 2024 - Workshops and tutorials at HHAI2024: June 10-11, 2024 Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2024 Doctoral Consortium Call for Contributions The HHAI 2024 Doctoral Consortium (DC) will take place as part of the 3rd International Conference on Hybrid Human-Artificial Intelligence in June 2024, Malm?, Sweden. This forum will provide early as well as middle/late-stage PhD students in the field of Hybrid Intelligence focusing on the study of Artificial intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. The Doctoral Consortium will take place in person at the HHAI 2024 conference. Important Dates All deadlines are 23:59 AoE (anywhere on Earth). - Submission Deadline: February 12th, 2024 - Reviews Released: March 18th, 2024 - Camera-ready Papers Due: April 18th, 2024 - Doctoral Consortium: June 11th, 2024 Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2024 Location HHAI 2024 will be an in-person, single-track conference, held in Malm?, Sweden on June 10-14, 2024. More information on the venue as well as travel information can be found on the website: https://hhai-conference.org/2024/ Contact information Conference chairs: Frank Dignum (Ume? University, SE), Fabian Lorig (Malm? University, SE), Jason Tucker (Malm? University, SE), and Adam Dahlgren Lindstr?m (Ume? University, SE). Program chairs: Pradeep Murukannaiah (TU Delft, NL), Andreas Theodorou (Ume? University, SE), Pinar Yolum (Utrecht University, NL). Workshop chairs: Petter Ericson (Ume? University, SE), Nina Khairova (Ume? University, SE), Marina de Vos (University of Bath, UK) Doctoral Consortium chairs: Passant El.Agroudy (DFKI, DE), Michiel van der Meer (Leiden University, NL) and Harko Verhagen (Stockholm University, SE) For questions, you can reach the program chairs at program at hhai-conference.org, the workshop chairs at workshop at hhai-conference.org and the doctoral consortium chars at dc at hhai-conference.org Kind regards, Julian Rasch & Jesse Grootjen Publicity and Social Media Chairs HHAI 2024 https://www.hhai-conference.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bbiancardi at cesi.fr Wed Jan 31 04:18:09 2024 From: bbiancardi at cesi.fr (BIANCARDI Beatrice) Date: Wed, 31 Jan 2024 09:18:09 +0000 Subject: Connectionists: CfP AVI 2024 Advanced Visual Interfaces - 3rd Call for Posters and Demos In-Reply-To: References: Message-ID: CfP AVI 2024 Advanced Visual Interfaces - 3rd Call for Posters and Demos ACM in-cooperation Conference on Advanced Visual Interfaces ================================================= 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ================================================= [https://lh7-us.googleusercontent.com/KpHC20zuWlQLVpAt6it6Ta-08-x0FEqCbZodELdlnq3f9AzfyJzJcnCAzs_6z_JHiEHHbmbbTvpjYKzNA4-7kETpqNgRPKmDlATAsLJAzrbDhO65xsQ6RZaSpfcDUc0WGkMocRs5pVjpPfRHNgYEAGs] IMPORTANT DATES Posters and Demo papers: ? Friday, March 8, 2024 (23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 --------------------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy and is held in-cooperation with ACM, SIGCHI, SIGMM, SIGWEB. Ilaria Torre (AVI 2024 Program Chair) AVI 2024 General Chairs .Cristina Conati, University of British Columbia, Vancouver .Gualtiero Volpe, University of Genoa For information or requests, please contact avi2024 at easychair.org --------------------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Interfaces and Interaction Computer Supported Cooperative Work Embodied Conversational Interfaces Full-body Interaction and Nonverbal Behavior Human-AI Interaction Information Visualization Intelligent Interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for entertainment Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Persuasion and Behaviour Change Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces and interactions for usable security Interfaces for Children Interfaces for well-being and flourishing Interfaces for Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices Sonification User Interfaces for the Internet of Things Usability and Accessibility Virtual and Augmented Reality Visual Analytics Technical demonstrations developed in context of artistic/cultural activities (e.g., elements of museum exhibits or dance performances) POSTER PAPERS The AVI 2024 Poster Track provides researchers and practitioners with the opportunity of presenting contributions which are work-in-progress and obtaining precious feedback from their peers in an informal setting. Poster submissions must be up to 2 pages (with one additional page for references), not anonymized. DEMO PAPERS The demo track is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive visual interfaces. We are looking for implementations of novel and exciting concepts or systems related to the main topics of AVI. We are especially keen to welcome innovative demonstrations from industry and startups that are closely aligned with the conference core themes. We encourage the emergent innovators interested to demonstrate their solutions even at an early stage of development to submit the papers to this call. Demo papers must be up to 2 pages (with one additional page for references), not anonymized. Demo submissions need to be complemented by a document that describes technical requirements (the template can be downloaded from the website). Please notice that: ? The committee reserves the right to reject proposals whose hardware and/or space requirements cannot be met by organizers (if you have any doubt please contact the demo chairs before submitting the paper). The organizers cannot provide any specific equipment (e.g., sound or lighting systems). ? In no case does a demonstration involve any remuneration from conference organizers. SUBMISSION FORMAT All the papers mentioned above, i.e., posters and demos, require online submission. Authors must format submissions according to the ACM SIGCONF template. Please find the templates below: ? Latex for Overleaf: https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty ? Word Template: https://www.acm.org/publications/proceedings-template Papers must be submitted online on EasyChair https://easychair.org/conferences/?conf=avi2024 PROCEEDINGS Since 1994, accepted long and short research papers are included in the Proceedings published by ACM Press and available in the ACM Digital Library. For each accepted paper, at least one author must register to AVI 2024 by the early registration deadline for authors, pay the registration fee and present the paper at the Conference. --------------------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Patern?, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Universit? C?te d'Azur, France ) --------------------------------------------------------------------------- @avi2024conference (https://www.facebook.com/avi2024conference/) @avi2024conference (https://www.instagram.com/avi2024conference/) @avi2024conf (https://twitter.com/avi2024conf) @avi2024conference https://www.linkedin.com/company/avi2024conference/) [cid:image002.png at 01DA542D.A8357C70] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi at cesi.fr https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image003.png at 01DA542D.A8357C70] [cid:image004.png at 01DA542D.A8357C70] [cid:image005.png at 01DA542D.A8357C70] [cid:image006.png at 01DA542D.A8357C70] [cid:image007.png at 01DA542D.A8357C70] cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image007.png Type: image/png Size: 468 bytes Desc: image007.png URL: From suashdeb at gmail.com Wed Jan 31 06:48:34 2024 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 31 Jan 2024 17:18:34 +0530 Subject: Connectionists: ISMSI 2024(Singapore) - Final Extension of Deadline Message-ID: Dear friends and esteemed colleagues, This is to share with you that on numerous requests, the deadline for submission of manuscripts for 2024 8th ISMSI, an annual event of IICCI, has been extended till 1st March, 2024 http://www.ismsi.org Please note that this is the final extension and no submission beyond this deadline will be processed for reviewing.In case you are not able to submit till now, I hope you will avail this final extended deadline and submit yours.Thank you and will look forward to receiving your papers in the coming days.With kind regards,Suash Deb General Chair, ISMSI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Jan 31 09:56:20 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 31 Jan 2024 15:56:20 +0100 Subject: Connectionists: =?utf-8?q?CFP_FRCCS_2024_Montpellier=2C_France_Ma?= =?utf-8?b?eSAyOSDigJMgMzEsIDIwMjQ=?= Message-ID: Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 ? 31, 2024 Montpellier, France *FRCCS 2024* After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Papers* about *original research* (up to 12 pages) ? *Extended Abstract* about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* ? Petter Holme , Aalto University, Finland ? Sonia K?fi , Universit? de Montpellier, France ? Natasa Przulj , Barcelona Supercomputing Center, Spain ? Boleslaw K. Szymanski Rensselaer Polytechnic Institute, USA ? Ingmar Weber , Saarland University, Germany *Publication* o Contributions will be included in the conference proceedings (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Submission * ? Submit on CMT Microsoft at: https://cmt3.research.microsoft.com/FRCCS2024/ ? *Select the Track: FRCCS2024* *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory *GENERAL CHAIRS* Roberto Interdonato CIRAD, UMR TETIS, Montpellier Bruno Pinaud LABRI University of Bordeaux Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Wed Jan 31 08:08:17 2024 From: blextar at gmail.com (Luca Rossi) Date: Wed, 31 Jan 2024 21:08:17 +0800 Subject: Connectionists: CFP S+SSPR 2024 Message-ID: CALL FOR PAPERS IAPR Joint International Workshops on 15th Statistical Techniques in Pattern Recognition (SPR) 20th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 9-11 September 2024, Venice, Italy Paper submission deadline: 23 June 2024 S+SSPR 2024 is a joint event organized by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. For list of topics of interest and more details see https://sspr2024.dais.unive.it/ -- Luca Rossi Assistant Professor Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From brainandmorelab at gmail.com Wed Jan 31 13:09:32 2024 From: brainandmorelab at gmail.com (Brain and More Lab) Date: Wed, 31 Jan 2024 19:09:32 +0100 Subject: Connectionists: Neurotech-KRK rebooting next week Message-ID: Hey there, if you are in Krakow, we are rebooting the Neurotech-KRK (you can read more what NeurotechX chapter are: https://neurotechx.com/) This time, we meet discussing about LLM and EEG, and some free hacking! Meetup event page https://www.meetup.com/sanoscience-brain-lab/events/298761816/ FB event page for next week https://fb.me/e/6nRT78WyH Neurotech meetups have the goal to facilitate the advancement of brain technology and tools with a collaborative approach by providing essential resources and learning opportunities. Bringing together a variety of talents is crucial for inspiring and creating neurotechnological innovations that benefit society as a whole. We will provide EMG, soldering tools, components, OpenBCI.... for an idea of how we built our openBCI and ideas related to machinelearning: https://www.youtube.com/watch?v=RLdzHOd_xTM Please reach out if you have ideas. BAMlab & NeurotechKRK -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image1.jpg Type: image/jpeg Size: 248323 bytes Desc: not available URL: From michael.furlong at uwaterloo.ca Wed Jan 31 15:30:22 2024 From: michael.furlong at uwaterloo.ca (Michael Furlong) Date: Wed, 31 Jan 2024 20:30:22 +0000 Subject: Connectionists: [Meetings] Extended Deadline - 15 February: 2024 Nengo Summer School Message-ID: Dear colleagues, The deadline for application submission to the Nengo Summer School, has been extended to February 15th, 2024. Applications can be submitted at this link:https://forms.gle/xhkNENnpPHeBXu5W7 [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/vRcN5-0wdQE We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 15, 2024*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more? Date and Location: June 2nd to June 14th, 2024 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong at uwaterloo.ca). The school is partly supported by ABR, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From q.huys at ucl.ac.uk Wed Jan 31 18:33:14 2024 From: q.huys at ucl.ac.uk (Quentin Huys) Date: Wed, 31 Jan 2024 23:33:14 +0000 Subject: Connectionists: postdoc positions in computational psychiatry at UCL Message-ID: Ever wanted to understand the computational principles underlying treatment effects in mental illness? We have postdoctoral positions available at UCL to study this. The BRC project will develop novel methods for the longitudinal analysis of computational models. The RELMED project will combine cutting-edge computational methods with randomized clinical trials to test whether different antidepressants treat depression via different reinforcement learning mechanisms, which will be examined using both behavioural and EEG computational measures. We are looking for individuals with energy and enthusiasm who are willing and keen to shape the field. You will interact with a broad array of expert PIs at UCL and further afield, and the positions should be excellent career opportunities. Links to job ads are here: https://acplab.org/join/ https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=19183 https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=19544 From lrubchin at iupui.edu Wed Jan 31 16:50:06 2024 From: lrubchin at iupui.edu (Rubchinsky, Leonid L) Date: Wed, 31 Jan 2024 21:50:06 +0000 Subject: Connectionists: Call for Abstracts: 33rd Annual Computational Neuroscience Meeting (CNS*2024) In-Reply-To: References: Message-ID: We are inviting abstracts for the 33rd Annual Computational Neuroscience Meeting (CNS*2024), which will be in Natal, Brazil, July 20-24, 2024. The main meeting begins in the evening of Saturday, July 20 and runs through Tuesday, July 23. It will be preceded by a day of tutorials (Saturday, July 20) and followed by workshops (Tuesday, July 23 mixed with the main meeting and Wednesday, July 24 workshops only). Registration and abstract submission are open now. Abstract submission deadline: March 11, 2024. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply during the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/cns-2024-registration Abstract submission for main meeting: https://www.cnsorg.org/cns-2024-abstract-submission CNS*2024 meeting information: https://www.cnsorg.org/cns-2024 Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2024-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2024-call-for-tutorials With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin at iu.edu http://www.math.iupui.edu/~lrubchin *********************** -------------- next part -------------- An HTML attachment was scrubbed... URL: