From battleday at g.harvard.edu Wed May 1 08:46:52 2024 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Wed, 1 May 2024 14:46:52 +0200 Subject: Connectionists: Final schedule released; fewer than 20 tickets left---Convention on Mathematics of Neuroscience and AI (Rome, May 28-31st 2024) Message-ID: Dear All, We have just released the *final schedule* for our *Annual Convention on the Mathematics of Neuroscience and AI*: www.neuromonster.org We are very nearly out of tickets, so if you do want to come and join us, please go ahead and book now! We have a *fantastic line-up of speaker*s, and a *fantastic venue* near the Colosseum. A once-in-a-decade event? *Keynotes* 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) Professor Kevin Ellis (Cornell) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) *Speakers* Professor Andrew Adamatzky (UWE) Professor Christine Grienberger (Brandeis) Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Professor Nicolas Brunel (Duke) Dr Lea Duncker (Stanford) Dr Kris Jensen (UCL) Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Maria Eckstein (DeepMind) Dr Fred Callaway (NYU / Harvard) Professor Najoung Kim (BU, Google) Dr Andr? Barreto (DeepMind) Dr Sophia Sanborn (USB / UBC) Dr Wilka Carvalho (Harvard) ... and many more spotlight talks! All the best, The Organizing Committee -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking 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 ted.carnevale at yale.edu Wed May 1 14:26:55 2024 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Wed, 1 May 2024 14:26:55 -0400 Subject: Connectionists: 2024 NEURON Summer Course reminder Message-ID: <9ada2321-1734-486a-9a48-71648e4d7169@yale.edu> Seats remains available for the 2024 NEURON Summer Course, but they're going fast so you should act quickly if you are interested. This course will provide a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. It will be held at Brown University in Providence, Rhode Island, from Sunday, June 16, through Friday, June 21, 2024. The registration deadline is Monday, June 3, 2023, but as of today it is already 70% booked. This is the time to sign up if you want to attend. For more information and the on-line application form, see The 2024 NEURON Summer Course --Ted -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Thu May 2 05:38:08 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 2 May 2024 11:38:08 +0200 Subject: Connectionists: ASONAM 2024 - Deadline has been extended to May 10 Message-ID: Call for Contributions ==== Based on requests from potential contributors, deadline of research track has been extended to May 10, 2024 ==== The 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 https://asonam.cpsc.ucalgary.ca/ University of Calabria, Rende (CS), Italy, September 2-5, 2024. KEY DATES (all at 23:59 AoE): * Research Track - Submission deadline: May 10 * Tutorials, Industrial, Multidisciplinary, Demos, and PhD Forum Tracks - Submission deadline: May 10 * Acceptance notification (all but workshops): June 19 * Camera ready and Author Registration (all but workshops): July 11 *ASONAM 2024 Journal Track Submission Deadline: May 31 https://submission.nature.com/new-submission/13278/3 and select ASONAM 2024 journal track * Workshop proposals submission deadline: March 20 * Workshop proposals notification: April 10 * Workshop paper submission deadline: June 10 * Workshop paper notification: July 10 * Workshop paper camera ready and author registration: July 18 * Tutorial day: September 2 * Conference and Tracks days: September 2-5 The 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM) provides an interdisciplinary forum to bring together researchers and practitioners from all fields related to Social Networking Analysis and Mining. The conference is a venue for presenting original research results, as well as discussing and disseminating innovative and practical development experiences. ASONAM 2024 seeks to address important problems through the scientific investigation of socio-technical systems, the development of fundamental technologies, and the study of emerging applications associated with social networking analysis and mining. To fully embrace the fast-growing and vigorously dynamic landscape of social networks and their applications, ASONAM is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense. General areas of interest include three major aspects: * Social and media analysis (e.g., data science, communications, economics, sociology, psychology, anthropology, applied linguistics, etc.) * Network science (e.g., mathematical models, theory, algorithms, etc.) * Machine Learning and AI applied to social networks (e.g., graph neural networks, representation learning, etc.) * Technology and applications (e.g., systems, tools, crowdsourcing, etc.) We welcome submissions on different tracks: * Research Track ( https://easychair.org/conferences/?conf=researchtasonam2024): original research work within the scope of the conference. * Industrial Track ( https://easychair.org/conferences/?conf=industrialtasonam202): contributions showcasing original results obtained in an industrial environment or having clear industry relevance. * Exhibits and Demos ( https://easychair.org/conferences/?conf=demostasonam2024): novel research prototypes or operational systems. * PhD Forum and Posters Track ( https://easychair.org/conferences/?conf=phdtasonam2024): work-in-progress led by PhD students. More mature work led by graduate students is also welcome in this track. * Multidisciplinary Track ( https://easychair.org/conferences/?conf=multidisciplinarytas0): mostly extended abstract submissions meant to disseminate research from all disciplines. Full paper submissions are also welcome. In addition, we welcome contributions to shape the conference program through satellite workshops and tutorials: * Workshop proposals: https://easychair.org/conferences/?conf=workshopsasonam2024 * Tutorial proposals: https://easychair.org/conferences/?conf=tutorialstasonam2024 The ASONAM 2024 Organizing Committee Andrea Tagarelli, Roberto Interdonato, Jon Rokne (General co-chairs) Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito (Program co-chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Thu May 2 12:21:59 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Thu, 2 May 2024 17:21:59 +0100 Subject: Connectionists: Available Positions in Computer Science at the University of Plymouth Message-ID: Dear All The University of Plymouth has several available positions in Computer Science (including games, cybersecurity, and AI). More details are available in this advertisement (deadline is 27th May 2024): https://www.jobs.ac.uk/job/DGN533/lecturer-associate-professor-in-computer-science If you have any remarks, pls don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jarsalas at inf.ufrgs.br Fri May 3 03:43:56 2024 From: jarsalas at inf.ufrgs.br (Jaime Andres Riascos Salas) Date: Fri, 03 May 2024 09:43:56 +0200 Subject: Connectionists: [CFP] Final deadline extension - 6 May - Modern Machine Learning methods for robust and real-time BCI - ESANN 2024 Message-ID: Sorry for cross-posting. CALL FOR PAPERS CFP ? SPECIAL SESSION MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI) FINAL EXTENSION - Paper Submission Deadline: 6 MAY 2024? EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) OCTOBER 9-11, 2024 Bruges, Belgium. Online and on-site http://www.esann.org [1] Are you planning to participate? A short additional extension is possible, please contact the special session organizer: jariascos at correo.iue.edu.co THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels' main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings. Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)? aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed. Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the next topics: 1. Signal Processing and Feature Extraction: I. Novel methods for preprocessing EEG signals II. Feature extraction techniques for real-time BCI applications 2. Classification Algorithms: I. Advanced machine learning algorithms for BCI signal classification II. Deep learning approaches in BCI research 3. Real-time BCI Systems: I. Development of real-time BCI systems II. Applications and challenges in deploying BCI systems in real-time. Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 [2] and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines [3]). Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible. IMPORTANT DATES: FINAL EXTENSION - Paper submission deadline: 2 MAY 2024 ??6 MAY 2024 Notification of acceptance: 16 JUNE 2024 The ESANN 2023 conference: 9-11 OCTOBER 2024 SPECIAL SESSION ORGANZERS: Fabien Lotte (Inria, France) Marta Molinas (NTNU, Norway) Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia) Bests regards! -- Jaime A. Riascos Salas Links: ------ [1] http://www.esann.org/ [2] https://www.esann.org/node/6 [3] https://www.esann.org/author_guidelines -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Fri May 3 04:01:05 2024 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Fri, 3 May 2024 08:01:05 +0000 Subject: Connectionists: Trust in Artificial Intelligence: Beyond Interpretability at ESANN 2024 In-Reply-To: References: Message-ID: Dear all, The deadline for the "Trust in Artificial Intelligence: Beyond Interpretability" special session at ESANN has been extended to May 6th. Best regards, Beno?t Fr?nay From: Connectionists On Behalf Of Beno?t Frenay Sent: 18 March 2024 12:32 To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Trust in Artificial Intelligence: Beyond Interpretability at ESANN 2024 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 contact at sscc.fr Fri May 3 02:39:06 2024 From: contact at sscc.fr (Samir Ouchani) Date: Fri, 3 May 2024 08:39:06 +0200 Subject: Connectionists: [First CFP] CRiSIS 2024: The 19th International Conference on Risks and Security of Internet and Systems Message-ID: <004001da9d24$a32008a0$e96019e0$@sscc.fr> Apologies if you receive multiple copies 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) November 26th - 28th, 2024 Aix-en-Provence, France The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. TOPICS ====== We target contributions from both academia and industrials on the following topics, but not limited to: - AI and machine learning-based security approaches - Formal methods and logics-centered security approaches - Analysis and management of risk - Attacks and defenses - Attack data acquisition and network monitoring - Authorization, Authentication, and Identity Management - Blockchain and Distributed Ledger Technologies - Cryptography, biometrics, watermarking - Dependability and fault tolerance of Internet applications - Distributed systems security and safety - Embedded system security and safety - Empirical methods for security and risk evaluation - Hardware-based security and physical security - Intrusion detection and prevention systems - Organizational, ethical, and legal issues - Privacy protection and anonymization - Risk-aware access and usage control - Analysis and management of cyber crisis - Security and risk assessment - Security and risks metrics - Security and dependability of operating systems - Security and safety of critical infrastructures - Security and privacy of peer-to-peer system - Security and privacy of wireless networks - Security in Cloud/Edge/Fog computing - Security models and security policies - Security of big data - Security of industrial control systems - Security of intelligent transportation systems - Security of e-commerce, electronic voting, and database systems - Security of new-generation networks - Security of smart cities - Security of smart grid - Security of social networks - Security of the IoT and IIoT - Security of VoIP and multimedia - Smartphone security and privacy - Traceability, metrology and forensics - Trust management - Ubiquitous computing security - Use of smart cards and personal devices for Internet applications - Virtualization security - Web and Web-service security IMPORTANT DATES ================ Submission deadline: June 15th, 2024 Notification of acceptance: July 15th, 2024 Camera-ready paper due: October 15th, 2024 PAPER SUBMISSION ================= Submitted papers must not significantly overlap with papers already published or those being concurrently submitted to a journal or conference with proceedings. Papers should be written in English and submitted electronically in PDF format. Selected papers presented at the conference will be included in the post-proceedings, to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Authors are required to revise their papers according to review comments before publication. Pre-proceedings will be available at the time of the conference. The maximum length for submissions is 16 pages for full papers and 6 pages for short papers, following the LNCS formatting guidelines. We recommend the use of LNCS Springer Overleaf Template (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer -science/kzwwpvhwnvfj#.WtR5Hy5ua71). Authors must upload their paper as PDF file using the EasyChair submission system: https://easychair.org/conferences/?conf=crisis2024 WEB SITE ======== https://crisis2024.univ-gustave-eiffel.fr GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada - Nora Cuppens, Polytechnique Montreal, Canada - Jean-Paul Mizzi, Universit? Gustave Eiffel, France - David Garcia, CESI Lineact, France PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France - Samir Ouchani, CESI Lineact, France PUBLICITY CHAIRS =============== - Slim Kallel, University of Sfax, Tunisia ORGANIZING COMMITTE ===================== - David Garcia, CESI Lineact, France - Amine Mohammed Boudouaia, CESI Lineact, France - Malika Benkhalifa, Ecole d'Ing?nieurs CESI, France - Philippe Bon, Gustave Eiffel University, France - Seddik Reguieg, Gustave Eiffel University, France - Val?rie Osmont, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France ============================= Dr. Samir Ouchani, Ing., PhD., HDR. Research Director, CESI Lineact. Aix-en-Provence, France. -------------- next part -------------- An HTML attachment was scrubbed... URL: From davrot at neuro.uni-bremen.de Fri May 3 06:49:07 2024 From: davrot at neuro.uni-bremen.de (David Rotermund) Date: Fri, 3 May 2024 12:49:07 +0200 Subject: Connectionists: =?utf-8?q?Postdoc_for_3_years_--_How_to_be_flexib?= =?utf-8?q?le_=E2=80=93_organizing_and_optimizing_task-dependent_informati?= =?utf-8?q?on_processing_in_the_visual_system?= Message-ID: <672f3341-43b7-455a-804e-de9cb9411af2@neuro.uni-bremen.de> The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc in Computational Neuroscience **for 3 years* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling,numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. ============ = Official text = ============ The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale EG13 TV-L (100 %) *limited for 3 years*(according to ? 2 WissZeitVG) *How to be flexible ? organizing and optimizing task-dependent information processing in the visual system* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use * network modelling, * numerical simulation, * and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. *Requirements**:* Ideal candidates will have a PhD in computational neuroscience, physics, computer science or related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required. The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses. *General hints:* Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world. The University of Bremen is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: _udo at neuro.uni-bremen.de_ For general information on this topic, see also: _https://www.uni-bremen.de/ernstlab _ _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1?2-page essay should address the following questions: * What is your background? What areas have you worked in previously, and how do you think this will help you in this role? * What attracts you to computational neuroscience? * What computational neuroscience problem(s) are you most interested in? * What is your motivation for joining our project? * What are your plans for your future career? * When will you definitely be able to begin? *Curriculum Vitae* Send a tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially language skills (including level of proficiency), that you think might be useful for the job. Also list any awards you have received and any peer-reviewed publications, if you have any. *Contact details of two academic references* One of the referees should be your PhD and/or MSc supervisor. Please inform your referees before listing their names so that they are not surprised when we contact them. You can apply in English or German, whichever language you are more comfortable with. Please explicitly address each of the specified requirements in your application (see detailed instructions below), and send your application documents until *31.05.2024*by indicating the *job id A189-24 to* Universit?t Bremen Institut f?r Theoretische Physik Frau Agnes Janssen Hochschulring 18 D-28359 Bremen or as one PDF file by unencrypted electronic mail to: _ajanssen at neuro.uni-bremen.de _. We kindly ask you to send us only copies (no portfolios) of your application documents, as we cannot return them. They will be destroyed after the selection process has been completed. Please note that incomplete applications will not be considered. -------------- next part -------------- An HTML attachment was scrubbed... URL: From data at okipublishing.com Fri May 3 09:57:59 2024 From: data at okipublishing.com (Data World) Date: Fri, 03 May 2024 08:57:59 -0500 Subject: Connectionists: Due July 15 - CDTE 2024 Data Technology and Engineering, Oct 1-3, USA & Online In-Reply-To: <2d91bc1a3c46c266397983cea171b737@okipublishing.com> References: <2d91bc1a3c46c266397983cea171b737@okipublishing.com> Message-ID: <0a3ec5d6148941e80ccc5367466eecbb@okipublishing.com> --------- 1st Call for Abstracts and Papers ------------- 2024 OkIP International Conference on Data Technology and Engineering (CDTE) Downtown Oklahoma City, OK, USA & Online October 1-3, 2024 https://eventutor.com/e/CDTE004 OkIP Published & Submission to SCOPUS/WoS Submission Deadline: July 15, 2024 Extended versions of the best papers will be considered for publication in the inaugural volume of Data Sciences, an International Journal. *** 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) >> Areas: * Data Advanced Concepts - Data Filtering | Data Conversion - Data Structures | Data Management - Data Virtualization | Data Integrity - Data Integration | Data Retrieval - Data Representation | Data Aggregation - Data Types | Data Grids | Data Warehouse - Metadata | Data Integration | Data fusion - Data Standards | Data Workflow - Data Interoperability | Data Integrity - Data Security/Privacy/Trust | Data Control * Data Analytics and Processing - Business Intelligence | Data Governance - Descriptive analytics | Critical Device Data - Raw Data | Data Capture | Data Ingestion - Data Transformation | Data Processing - Data Visualization | Data Queries - Analytical Workloads | Prescriptive Analytics - Historical Data and Business Metrics - Transactional Workloads | Data Repositories - Batch and Streaming Data - Real-time Data | Point-of-Sale Data - Statistics Exploratory Data Analysis - Diagnostic Analytics | Cognitive Analytics - Data Warehouse Management - Predictive Analytics | Social Data Analytics - Online Analytical Processing - Semi-Structured Data | Unstructured Data * Databases - Database System Internals and Performance - XML Databases | Graph Database - Temporal Databases | Spatial Databases - Query Optimization Techniques - Multimedia Databases | Distributed Databases - Mobile Databases | WWW and Databases - NoSQL Databases | Very Large Databases - Object-Oriented Database Systems - Database Architecture and Design * AI in Data and Big Data - Data Encryption Techniques - Data Mining Theoretical Foundation - Scientific and Statistical Data Mining - Data Mining and Knowledge Discovery - Data Mining Products/Systems/Languages - Big Data Search/Mining | Web Mining - Decision Support Data Systems - Dimensional Data Modeling - Big Data Security/Privacy/Trust - Big Data Infrastructure | Web Analytics - Text Analytics | Big Data as a Service - Big Data and Information/Data Quality - Change Detection | Big Data Applications - Social Web Search and Mining - Deep Learning and Big Data - Big Data Computational Models - Smart Grid Big Data | Text Mining - Big Data Cloud Computing - Big Data Stream Computing - Intelligent Data Retrieval System * Data and Databases Applications - Database Applications and Experiences - Scientific and Biological Databases - Smart Cities and Urban Data Analytics - Sensor Network Data Management - In-Network Data Processing - In-Memory/Purpose-built Databases - Distributed/Parallel/Peer-to-Peer Databases - Deep/Dark/Hidden Web Data Management - Energy-Efficient Data Centers - Storage Systems Security/Reliability - Data Loss/Breach Prevention & Protection - Visual and Audio Data Mining - Information Visualization - Open-Source Databases - Software Engineering Data - Virtualized Data Center Network - Medical/Biomedical Big Data - Medical Data Interoperability/Security * Data and Legal Issues - Data Privacy Issues| Sensitive Data - Data Regulation Laws | Data Protection Laws - Privacy-Preserving Techniques - Data Privacy Issues | Privacy Standards - Data Collection and Storage Issues - Intellectual Property/Copyright Laws >> Important Dates: - Abstract or Paper Submission: July 15, 2024 - Author Notification: July 31, 2024 - Camera Ready Paper Submission, Registration: August 14, 2024 - Conference Date: October 1-3, 2024 >> Technical Program Committee https://eventutor.com/event/50/page/125-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From mlas at fi.upm.es Fri May 3 12:22:04 2024 From: mlas at fi.upm.es (mlas at fi.upm.es) Date: Fri, 3 May 2024 18:22:04 +0200 (CEST) Subject: Connectionists: XVI Madrid UPM Machine Learning and Advanced Statistics Summer School (June 17th - June 28th, 2024) - Early registration reminder Message-ID: <1154002927.0.1714753324280.JavaMail.bmihaljevic@lenovo> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 19th to June 30th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 19th - June 23rd, 2023) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Images. Deep Learning for Text. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow. Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. * Week 2 (June 26th - June 30th, 2023) * 1st session: 9:45-12:45 Course 7: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python. Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. 2nd session: 13:45-16:45 Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Model-specific explanations: Bayesian networks. Other topics. Practical demonstration: R. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. If you wish to stop receiving emails regarding the Madrid UPM Machine Learning and Advanced Statistics summer school, please reply to this email with the title STOP. Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 17th to June 28th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 17th - June 23rd, 2024) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Statistical Inference (15 h) Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 26th - June 28th, 2024) ## 1st session: 9:45-12:45 ### Course 7: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: SVMs, Kernel Methods and Regularized Learning (15 h) Regularized learning. Kernel methods. SVM models. SVM learning algorithms. Practical session: Python Anaconda with scikit-learn. ### Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From stevensequeira92 at hotmail.com Sat May 4 05:04:27 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Sat, 4 May 2024 09:04:27 +0000 Subject: Connectionists: [Call for Abstract]: Palermo International Workshop: Ethics & Responsibility of IA and Medicine In-Reply-To: References: Message-ID: Palermo International Workshop: Ethics & Responsibility of IA and Medicine 6-7 June 2024, Uni. Palermo, Sicilia, Italy CALL FOR ABSTRACTS A Call for Abstracts is open until 18 May 2024 to select speakers for the Palermo International Workshop: Ethics and Responsibility of IA and Medicine, which will happen at the University of Palermo, Italy, on 6-7 June 2024. The accepted speakers will have 30 minutes to present their presentation and 15 minutes of Q&A. Any topic related to the Ethics and Responsibility of Artificial Intelligence and Medicine is welcome (official language: English). ?Keynote Speakers: Pii Telakivi (Helsinki University, Finland) Steven S. Gouveia (Uni. Porto, Portugal | Visiting Fellow, Uni. Palermo, Italy) Simona Tiribelli (University of Macerata, Italy) Tomi Kokkonen (Helsinki University, Finland) Silvia Dad? (University of Pisa, Italy) To submit your abstract, submit the following material: (i) one word. document with a title, abstract (250 words); (ii) a cover page with name, affiliation, short bio (50 words), and email contact; to stevensequeira92 at hotmail dot com There are no fees associated with participation in the Workshop. We are sorry to say that no travel/staying funding is available to support the accepted speakers. More info: https://trustaimedicine.weebly.com/palermo-international-workshop.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevensequeira92 at hotmail.com Sat May 4 05:14:16 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Sat, 4 May 2024 09:14:16 +0000 Subject: Connectionists: 10th rTAIM Monthly Seminar - EDMUND UGAR (University of Johannesburg, South Africa) | 27 May 2024 | 15h (Lisbon Time Zone) In-Reply-To: References: Message-ID: Dear All, After the 9th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=MDyC1KwUQDk), we are happy to announce the 10th rTAIM Online Seminar with the participation of Professor Edmund Ugar (University of Johannesburg, South Africa), on the 27th May 2024, 15h-16h00 Lisbon Time Zone, via Zoom. Title: In Light of Medical Machine Learning Technologies in Sub-Saharan Africa: African Agency Reconsidered Abstract: The growing application of machine learning techniques in the second decade of the present century has made artificial intelligence to play a more significant role in medicine and, increasingly, in public health. Image recognition, in particular, has become extremely effective, and clinicians increasingly rely on machine learning technologies for clinical diagnosis and prognosis of medical conditions. While these technologies have proven to be relevant and efficient in carrying out medical diagnosis, in this talk, I argue that they threaten an integral aspect of what constitutes human agency for Africans ? interpersonal relationships. Overreliance on machine learning technology for clinical diagnosis and recommendations may diminish the values of interpersonal relationships of identity and solidarity between patients and doctors in the sub-Sahel. I show how vital these normative values are in the making of a person and their agency within the sub-Saharan African value system. Short Bio: Edmund Terem Ugar is a doctoral candidate in Philosophy at the University of Johannesburg, a research fellow at the Centre for the Philosophy of Epidemiology, Medicine and Public Health at Durham University, and a research coordinator at the University of Johannesburg Centre for Africa-China Studies. His research lies broadly within the Philosophy of Social Technologies within Medical and Healthcare Domains. Zoom: Link: https://videoconf-colibri.zoom.us/j/94305823062?pwd=ZnViblIxM1o1djlaMC9jeWJYOThRZz09 ID: 943 0582 3062 Password: 351181 More info: https://trustaimedicine.weebly.com/rtaim-seminars.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From eleal at d.umn.edu Sat May 4 21:07:58 2024 From: eleal at d.umn.edu (Eleazar Leal) Date: Sat, 4 May 2024 20:07:58 -0500 Subject: Connectionists: Final CFP 2024 Intl Workshop on Quantum Data Science and Management @ VLDB Message-ID: ************************************************************************* CALL FOR PAPERS International Workshop on Quantum Data Science and Management (QDSM 2024) In conjunction with VLDB 2024 August 29, 2024, Guangzhou, China (and hybrid) Submission: May 5, 2024 Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm ************************************************************************* ** Aims of the Workshop ** The field of quantum computing has experienced remarkable progress after decades of research and development. Prototypes of quantum computers already exist and have been made available to users through cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu quantum cloud). While fault-tolerant and large-scale quantum computers are not available yet, the potential of this new technology is undeniable. Quantum algorithms have the proven ability to either outperform classical approaches for various tasks or are impossible to be efficiently simulated by classical means under reasonable complexity-theoretic assumptions. Even imperfect current-day technology is speculated to exhibit computational advantages over classical systems. For most database researchers, quantum computing and quantum machine learning are still new research fields. The goal of this workshop is to bring together academic researchers and industry practitioners from multiple disciplines (e.g., database, AI, software, physics, etc.) to discuss the challenges, solutions, and applications of quantum computing and quantum machine learning that have the potential to advance the state of the art of data science and data management technologies. Our purpose is to foster the interaction between database researchers and more traditional quantum disciplines, as well as industrial users. The workshop serves as a forum for the growing quantum computing community to connect with database researchers to discuss the wider questions and applications of how quantum resources can benefit data science and data management tasks, and how quantum software can support this endeavor. We believe that many unsolved and interesting issues can be found at boundaries and intersections between different fields and that there are insufficient venues to publish such cross-disciplinary results. We also believe that an important aspect of future quantum computing will concern issues of handling data in one way or another. This workshop will serve as a venue not only to discuss early, experimental results in research, but also to feature a demonstration part with the intention of providing attendees with first-hand experience in using novel quantum computing techniques that go beyond the simple examples offered by various web services. This will give researchers a realistic intuition about quantum computing for data science and data management tasks. ** Categories of Papers ** The workshop solicits papers of the following categories: - Research Papers propose new approaches, theories or techniques related to quantum data science and management including new data structures, protocols and algorithms. They should make substantial theoretical and empirical contributions to the research field. - System Papers describe new systems and whole frameworks for enabling quantum data science and management. - Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for quantum data science and management and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing the benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey. - Application Papers report practical experiences on applications of quantum data science and management. Application Papers might describe how to apply quantum technologies to specific application domains. - Vision Papers identify emerging new or future research issues and directions and describe new research visions for quantum data science and management. The new visions will potentially have significant impacts on society. - Demo Papers deal with innovative approaches and applications for quantum data science and management. These papers describe a showcase of the proposed approach/application. We are especially interested in demonstrations having a WOW-effect. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org) and presented as oral presentations. ** Topics of Interest ** We are interested in all issues concerning quantum data science and management such as the following: - Quantum Computing for problems related to Data Science and Management - Quantum Data Science - Quantum Computing for Data Science - Data Science for Quantum Computing - Quantum Data Management - Quantum Computing for Data Management - Data Management for Quantum Computing - Quantum Machine Learning - Quantum Machine Learning Enabled Databases - Quantum Data Management to Support Machine Learning - New approaches to Quantum Machine Learning - Applications for - Quantum Data Science - Quantum Data Management - Quantum Machine Learning - Quantum Algorithms with applications in Quantum Data Science and Management - Quantum Software Tools for Quantum Data Science and Management - Frameworks and APIs - Programming Languages - Optimizers of Quantum Programs and Circuits - Quantum Cryptography and Security for Data Science and Management ** Workshop Chairs ** - Sven Groppe, University of Lubeck, Germany - Jiaheng Lu, University of Helsinki, Finland - Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany - Le Gruenwald, University of Oklahoma, USA ** Publicity Chairs ** - Eleazar Leal, University of Minnesota Duluth, USA ** Proceedings Chairs ** - Valter Uotila, University of Helsinki, Finland ** Program Committee ** - Umut Calikyilmaz, University of Lubeck, Germany - Maja Franz, OTH Regensburg, Germany - Srinjoy Ganguly, Woxsen University, India - Natacha Kuete Meli, University of Lubeck, Germany - Nitin Nayak, University of Lubeck, Germany - Jukka K. Nurminen, University of Helsinki, Finland - IIya Safro, University of Delaware, USA - Manuel Schonberger, OTH Regensburg, Germany - Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India - Valter Uotila, University of Helsinki, Finland - Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA - Zhengtong Yan, University of Helsinki, Finland ** Important Dates ** Submission: May 5, 2024 Notification: June 30, 2024 Workshop: August 29, 2024 ** Submission ** Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be formatted using the camera-ready templates in the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published online in the CEUR Workshop proceedings (CEUR-WS.org). We describe manuscript preparation and submission procedure at https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit -- Eleazar Leal, Ph.D. Associate Professor Dept. of Computer Science | University of Minnesota Duluth Heller Hall 331 1114 Kirby Drive Duluth, MN 55812 Tel: (218) 726-8452 | Fax: (218) 726-8240 -------------- next part -------------- An HTML attachment was scrubbed... URL: From V.Dankers at sms.ed.ac.uk Sun May 5 12:29:36 2024 From: V.Dankers at sms.ed.ac.uk (Verna Dankers) Date: Sun, 5 May 2024 16:29:36 +0000 Subject: Connectionists: =?utf-8?q?First_Call_for_Papers=3A_=E2=80=8BGenBe?= =?utf-8?q?nch=2C_the_second_workshop_on_generalisation_=28benchmarking=29?= =?utf-8?q?_in_NLP_=40_EMNLP_2024?= Message-ID: GenBench: The second workshop on generalisation (benchmarking) in NLP Workshop description The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing (NLP). Yet, there are still many open questions related to what it means for an NLP model to generalise well, and how generalisation should be evaluated. LLMs, trained on gigantic training corpora that are ? at best ? hard to analyse or not publicly available at all, bring a new set of challenges to the topic. The second GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. The workshop aims to bring together different expert communities to discuss challenging questions relating to generalisation in NLP, crowd-source challenging generalisation benchmarks for LLMs, and make progress on open questions related to generalisation. Topics of interest include, but are not limited to: * Opinion or position papers about generalisation and how it should be evaluated; * Analyses of how existing or new models generalise; * Empirical studies that propose new paradigms to evaluate generalisation; * Meta-analyses that compare how results from different generalisation studies compare; * Meta-analyses that study how different types of generalisation are related; * Papers that discuss how generalisation of LLMs can be evaluated; * Papers that discuss why generalisation is (not) important in the era of LLMs; * Studies on the relationship between generalisation and fairness or robustness. The second GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2024. Submission types We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. 1. Regular workshop submissions Regular workshop submissions present papers on the topic of generalisation (see examples listed above). Regular workshop papers may be submitted as an archival paper, when they report on completed, original and unpublished research, or as a shorter extended abstract, otherwise. More details on this category can be found below. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench at googlegroups.com. 2. Collaborative Benchmarking Task (CBT) submissions The goal of this year's CBT is to generate versions of existing evaluation datasets for LLMs which, given a particular training corpus, have a larger distribution shift than the original test set, or ? in other words ? evaluate generalisation to a stronger degree than the original dataset. For this particular challenge, we focus on three training corpora: C4, RedPajama-Data-1T, and Dolma. All three corpora are publicly available, and they can be searched via the What's in My Big Data API (https://github.com/allenai/wimbd). We will focus on three popular evaluation datasets: MMLU, HumanEval, and SiQA. Submitters to the CBT are asked to design a way to assess distribution shift for one or more of these evaluation datasets, given particular features of the training corpus, and then generate one or more versions of the dataset that have a larger distribution shift according to this method. Newly generated sets do not have to have the same size as the original test set, but should have at least 200 examples. Practically speaking, CBT submissions consist of: 1. the data/task artefact, submitted through https://github.com/GenBench/genbench_cbt 2. a paper describing the dataset and its method of construction, submitted through https://openreview.net/group?id=GenBench.org/2024/Workshop We accept submissions that consider only one pretraining dataset and evaluation dataset, but encourage submitters to apply their suggested protocols to both pretraining datasets. We also suggest that submitters include model results for models trained on these datasets. Suggestions are provided on the CBT website: https://genbench.org/cbt. Given enough high-quality submissions, we aim to write a paper with the combined results, to which submitters can be co-authors, if they wish so. More detailed guidelines will be given on https://genbench.org/cbt. Archival vs extended abstract Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2024 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references, and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website, but will not be included in the proceedings. Submission instructions For both archival papers and extended abstracts, we refer to the EMNLP 2024 website for paper templates and requirements. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All submissions can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2024/Workshop. Important dates These deadlines are tentative, for the latest version see https://genbench.org/workshop * August 15, 2024: Paper submission deadline * September 20, 2024: Notification deadline * October 4, 2024: Camera-ready deadline * November 15 or 16, 2024: Workshop Note: all deadlines are 11:59 PM UTC-12:00 Preprints We do not have an anonymity deadline, preprints are allowed, both before the submission deadline as well as after. Contact Email address: genbench at googlegroups.com Website: https://genbench.org/workshop On behalf of the organisers Dieuwke Hupkes Verna Dankers Khuyagbaatar Batsuren Amirhossein Kazemnejad Christos Christodoulopoulos Mario Giulianelli Ryan Cotterell 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 dhansel0 at gmail.com Sun May 5 12:51:05 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 5 May 2024 19:51:05 +0300 Subject: Connectionists: World wide VVTNS series: Wednesday, May 8 at 11am (EDT), Douglas Zhou, Jiatong University| "Neuronal network reconstruction through causality measures" 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 Douglas Zhou Jiatong University on the topic of "Neuronal network reconstruction through causality measures*"* The lecture will be held on zoom on *May 8, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Understanding the causal connectivity within a network is crucial for unraveling its functional dynamics. However?the inferred causal connections are fundamentally influenced by the choice of causality measure employed, which may not always align with the actual structural connectivity of the network. The relationship between causal and structural connectivity, especially how different causality measures affect the inferred causal links, requires further exploration. In this talk, we examine nonlinear networks characterized by pulse signal outputs, such as spiking neural networks, using four prevalent causality measures: time-delayed correlation coefficient, time-delayed mutual information, Granger causality, and transfer entropy. We provide a theoretical analysis of the interconnections among these measures when applied to pulse signals. Utilizing both a simulated Hodgkin?Huxley network and an empirical mouse brain network as case studies, we validate the quantitative relationships between these causality measures. Our results show a strong correspondence between the causal connectivity derived from any of these measures and the actual structural connectivity, thereby establishing a direct linkage between them. We highlight that structural connectivity in networks with output pulse signals can be reconstructed on a pairwise basis, without needing global information from all network nodes, effectively avoiding the curse of dimensionality. Our approach offers a robust and practical methodology for reconstructing networks based on pulse outputs. *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 publicity at acsos.org Mon May 6 09:05:23 2024 From: publicity at acsos.org (ACSOS Publicity Chairs) Date: Mon, 6 May 2024 22:05:23 +0900 Subject: Connectionists: Extended Deadline and Updates Message-ID: <9F5ED5F3-CA3B-4C45-BCAB-54EBD5E17F2B@acsos.org> *** ACSOS 2024 - Extended Deadline and Updates *** 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems 16-20 September 2024 - Aarhus, Denmark https://2024.acsos.org/ https://twitter.com/ACSOSconf ******************************************************* New dates Main Track: Abstract Submission: May 4th, 2024 (optional) Submission Deadline: May 11th, 2024 Notification to Authors: June 24th, 2024 Camera Ready Submission: August 5th, 2024 All times in Anywhere on Earth (AoE) timezone. Further details: https://2024.acsos.org/track/acsos-2024-papers Other important dates: *** Doctoral Symposium *** Paper Submission Deadline: June 2nd, 2024 Notification to Authors: July 1st, 2024 Camera Ready Deadline: July 30th, 2024 Further details: https://2024.acsos.org/track/acsos-2024-doctoral-symposium *** Posters and Demos *** Poster / Demo Submission Deadline: July 1st, 2024 Notification to Authors: July 14th, 2024 Camera Ready Deadline: August 1st, 2024 Further details: https://2024.acsos.org/track/acsos-2024-posters-and-demos *** Tutorials *** Submission Deadline: July 8th, 2024 Notification to Authors: July 22nd, 2024 Camera Ready Deadline: August 5th, 2024 Further details: https://2024.acsos.org/track/acsos-2024-tutorials *** Workshops *** Accepted workshops: 11th Workshop on Self-Improving Systems Integration (SISSY) - https://sissy.telecom-paristech.fr/ 2nd International Workshop on Sustainable and Scalable Self-Organisation (SaSSO-2) - https://mattsscott.github.io/SASSO2024/ 2nd International Workshop on Artificial Intelligence for Autonomous computing Systems (AI4AS) - https://ai4as.github.io/ Further details: https://2024.acsos.org/track/acsos-2024-workshops -------------- next part -------------- An HTML attachment was scrubbed... URL: From heather at incf.org Mon May 6 07:14:24 2024 From: heather at incf.org (Heather Topple) Date: Mon, 6 May 2024 13:14:24 +0200 Subject: Connectionists: Last call: Submit your IP abstract today for INCF Neuroinformatics Assembly! Message-ID: Today is the deadline to submit Investigator Presentation abstracts for INCF Neuroinformatics Assembly 2024: Brain Meets AI. Apply today to speak at Assembly! *Deadline: May 06* *Session topics include* - Data standards & reproducibility - Large-scale databasing & mega-analysis - Collaborative tools & more! Submit your abstract: bit.ly/INCFabstracts *Keynote speakers* Elisabeth Bik, Microbiome Digest Viktor Jirsa, INS Danilo BzDok, MILA Timo Dickscheid, Julich Research Hanchuan Peng, SEU-ALLEN /The INCF Team International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From helma.torkamaan.mailists at gmail.com Mon May 6 05:35:23 2024 From: helma.torkamaan.mailists at gmail.com (Helma Torkamaan) Date: Mon, 6 May 2024 11:35:23 +0200 Subject: Connectionists: Call for Papers: The 6th Workshop on Health Recommender Systems co-located with ACM RecSys 2024 Message-ID: **Please forward to anyone who might be interested. Apologies for multiple postings.** -------------------------------------------------------------------- ## CALL FOR PAPERS # International Workshop on Health Recommender Systems * **Deadline: August 30th, 2024** * to be held in Bari, Italy, co-located with ACM RecSys 2024 ( https://recsys.acm.org/) * Website: https://healthrecsys.github.io/ -------------------------------------------------------------------- Important Dates: ================ - **Paper Submission Deadline:** August 30, 2024 - **Author Notification:** September 13, 2024 - **Camera-Ready Version Deadline:** September 20, 2024 - **Workshop Date:** October TBD, 2024 - **RecSys Conference:** October 14-18, 2024 Workshop Organizers: ==================== - Hanna Hauptmann, University of Utrecht, Netherlands - Christoph Trattner, University of Bergen, Norway - Helma Torkamaan, Delft University of Technology, Netherlands Objectives & Topics: ==================== **Background:** The HealthRecSys workshop discussions over the years have spanned a broad spectrum of topics, reflecting the multifaceted nature of health recommender systems and the diverse applications and challenges of recommender systems in the health domain. This includes discussions on new applications, challenges, and practical solutions for existing systems or scenarios. **Goals:** Our aim with the 6th HealthRecSys is to reignite these conversations and provide a forward-thinking platform that revisits the foundational elements that have contributed to the field's growth. However, the workshop aspires to do more by infusing new perspectives and tackling the most pressing global challenges and technological innovations head-on. The workshop will explore contemporary themes such as the impact of global health crises on recommender systems, the integration of Large Language Models and other generative AI models in health applications, the increasing emphasis on personalized and self-managed care, and the increasing focus on health equity leading to consideration of literacy, accessibility, and monetary means when building health recommender systems. These topics not only reflect the current state of the world but also align with the broader shifts towards ethical AI, and the need for systems that can adapt to and address individual health and care needs. Furthermore, HealthRecSys is dedicated to strengthening the network of researchers working on health recommender systems, drawing participants from an array of health and care domains. This effort is aimed at cultivating a cross-disciplinary community that promotes collaboration among recommender systems specialists, healthcare professionals, ethicists, and policymakers, among others. To enhance cross-sector collaboration, the 6th HealthRecSys workshop will encourage joint projects and funding prospects, in addition to promoting the sharing of resources, datasets, and tools among scholars and industry practitioners. **Topics:** The workshop is calling for submissions on a wide array of topics within health recommender systems. This includes systems aimed at health promotion, preventive, curative care, and recommender systems that are health-aware. The scope of topics for the workshop is extensive, covering various aspects within the domain of health recommender systems and health-aware recommender systems, which include, but are not limited to: - Accessibility, Usability, and Augmented Decision-Making - Adherence and Patient (User) Compliance - Algorithms and Recommendation Strategies - Behavioral Interventions - Case studies of Health Recommender Systems, Success and Failures, and Lessons learned - Domain Knowledge Representation - Electronic Health Records Integration - Empowerment and Autonomy - Ethics - Evaluation and Metrics - Equity - Explanations and Justifications in Health Recommendations - From Participatory Design and Co-Creation to HealthRecSys - Gamification and Serious Games - Generative AI - Health-Aware Recommender Systems - Health and Care Workers and Interactive Intelligent Systems - Human/Expert-in-the-Loop - Human-RecSys Collaboration for Personalized Health - Interfaces, Visual, Context-aware, Conversational, Mobile - In-the-Wild Personalization - Longitudinal Studies - LLM-based recommendations in Health - Medical Evaluation Techniques - Mobile Health Recommender Systems - Multi-objective Challenges - Multi-stakeholder Challenges - Patient Needs/Satisfaction - Personalization - Persuasion/Nudging/Behavioral Change - Pervasive Systems - Privacy and Security - Research Methods and tools - Recommendations VS. Not Clinical Decision Supports - Regulations and Standards - Self-Care - Trust and Transparency - User Interaction Design - User Profiling and Adaptive Systems - Value-Driven Design of Health Recommender Systems - Wearables for Recommender Systems Submissions: ============ We solicit short research papers (4-6 pages) and short position papers (2 pages + references), both in the ACM conference paper style-double-column format. Participants can decide between a research-focused submission and a project-focused submission. Submission category research: innovative research ideas, preliminary findings, or system prototypes that contribute new knowledge to the field Submission category project: presentations on funded research initiatives, collaborations between industry and academia, or partnerships between healthcare entities and research institutions. Submission guidelines: ====================== All submitted papers must: - be written in English; - contain author names, affiliations, and email addresses; - be formatted according to the ACM SIG Proceedings Template -double-column format, with a font size no smaller than 9pt; - be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size; Submissions are encouraged to include links or demos as attachments to enhance their presentation. All submissions will undergo a rigorous peer-review process to ensure quality and originality. It is imperative that submitted works are not concurrently under review at any other conference, workshop, or journal and contain original, unpublished contributions. Accepted papers will be published according to the ACM RECSYS 2024 WS publication rules, with prior proceedings having been published in CEUR workshop proceedings. A Few Remarks ============= - The title of the paper, authors, and the author order cannot be changed after the acceptance - Major changes to the text of the reviewed and accepted papers are not permitted after the review - At least one of the authors should participate in the workshop, register in the RecSys conference, and personally present the paper in the workshop. Location: ========= RecSys 2024 will be hosted in Bari, Italy, from 14?18 October 2024. Please visit the RecSys 2024 website for more information about this location: https://recsys.acm.org/recsys24/location/ Contact: ======== If you have questions regarding the workshop, do not hesitate to contact the workshop chairs: healthrecsys at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From eleal at d.umn.edu Mon May 6 13:14:34 2024 From: eleal at d.umn.edu (Eleazar Leal) Date: Mon, 6 May 2024 12:14:34 -0500 Subject: Connectionists: Deadline Extended: Final CFP 2024 Intl Workshop on Quantum Data Science and Management @ VLDB Message-ID: ************************************************************************* CALL FOR PAPERS International Workshop on Quantum Data Science and Management (QDSM 2024) In conjunction with VLDB 2024 August 29, 2024, Guangzhou, China (and hybrid) Submission: June 3, 2024 - Submission deadline has been extended! Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm ************************************************************************* ** Aims of the Workshop ** The field of quantum computing has experienced remarkable progress after decades of research and development. Prototypes of quantum computers already exist and have been made available to users through cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu quantum cloud). While fault-tolerant and large-scale quantum computers are not available yet, the potential of this new technology is undeniable. Quantum algorithms have the proven ability to either outperform classical approaches for various tasks or are impossible to be efficiently simulated by classical means under reasonable complexity-theoretic assumptions. Even imperfect current-day technology is speculated to exhibit computational advantages over classical systems. For most database researchers, quantum computing and quantum machine learning are still new research fields. The goal of this workshop is to bring together academic researchers and industry practitioners from multiple disciplines (e.g., database, AI, software, physics, etc.) to discuss the challenges, solutions, and applications of quantum computing and quantum machine learning that have the potential to advance the state of the art of data science and data management technologies. Our purpose is to foster the interaction between database researchers and more traditional quantum disciplines, as well as industrial users. The workshop serves as a forum for the growing quantum computing community to connect with database researchers to discuss the wider questions and applications of how quantum resources can benefit data science and data management tasks, and how quantum software can support this endeavor. We believe that many unsolved and interesting issues can be found at boundaries and intersections between different fields and that there are insufficient venues to publish such cross-disciplinary results. We also believe that an important aspect of future quantum computing will concern issues of handling data in one way or another. This workshop will serve as a venue not only to discuss early, experimental results in research, but also to feature a demonstration part with the intention of providing attendees with first-hand experience in using novel quantum computing techniques that go beyond the simple examples offered by various web services. This will give researchers a realistic intuition about quantum computing for data science and data management tasks. ** Categories of Papers ** The workshop solicits papers of the following categories: - Research Papers propose new approaches, theories or techniques related to quantum data science and management including new data structures, protocols and algorithms. They should make substantial theoretical and empirical contributions to the research field. - System Papers describe new systems and whole frameworks for enabling quantum data science and management. - Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for quantum data science and management and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing the benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey. - Application Papers report practical experiences on applications of quantum data science and management. Application Papers might describe how to apply quantum technologies to specific application domains. - Vision Papers identify emerging new or future research issues and directions and describe new research visions for quantum data science and management. The new visions will potentially have significant impacts on society. - Demo Papers deal with innovative approaches and applications for quantum data science and management. These papers describe a showcase of the proposed approach/application. We are especially interested in demonstrations having a WOW-effect. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org) and presented as oral presentations. ** Topics of Interest ** We are interested in all issues concerning quantum data science and management such as the following: - Quantum Computing for problems related to Data Science and Management - Quantum Data Science - Quantum Computing for Data Science - Data Science for Quantum Computing - Quantum Data Management - Quantum Computing for Data Management - Data Management for Quantum Computing - Quantum Machine Learning - Quantum Machine Learning Enabled Databases - Quantum Data Management to Support Machine Learning - New approaches to Quantum Machine Learning - Applications for - Quantum Data Science - Quantum Data Management - Quantum Machine Learning - Quantum Algorithms with applications in Quantum Data Science and Management - Quantum Software Tools for Quantum Data Science and Management - Frameworks and APIs - Programming Languages - Optimizers of Quantum Programs and Circuits - Quantum Cryptography and Security for Data Science and Management ** Workshop Chairs ** - Sven Groppe, University of Lubeck, Germany - Jiaheng Lu, University of Helsinki, Finland - Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany - Le Gruenwald, University of Oklahoma, USA ** Publicity Chairs ** - Eleazar Leal, University of Minnesota Duluth, USA ** Proceedings Chairs ** - Valter Uotila, University of Helsinki, Finland ** Program Committee ** - Umut Calikyilmaz, University of Lubeck, Germany - Maja Franz, OTH Regensburg, Germany - Srinjoy Ganguly, Woxsen University, India - Natacha Kuete Meli, University of Lubeck, Germany - Nitin Nayak, University of Lubeck, Germany - Jukka K. Nurminen, University of Helsinki, Finland - IIya Safro, University of Delaware, USA - Manuel Schonberger, OTH Regensburg, Germany - Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India - Valter Uotila, University of Helsinki, Finland - Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA - Zhengtong Yan, University of Helsinki, Finland ** Important Dates ** Submission (extended): June 3, 2024 Notification: June 30, 2024 Workshop: August 29, 2024 ** Submission ** Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be formatted using the camera-ready templates in the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published online in the CEUR Workshop proceedings (CEUR-WS.org). We describe manuscript preparation and submission procedure at https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit -- Eleazar Leal, Ph.D. Associate Professor Dept. of Computer Science | University of Minnesota Duluth Heller Hall 331 1114 Kirby Drive Duluth, MN 55812 Tel: (218) 726-8452 | Fax: (218) 726-8240 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiaxiangzhang at gmail.com Tue May 7 04:33:03 2024 From: jiaxiangzhang at gmail.com (Jiaxiang ZHANG) Date: Tue, 7 May 2024 09:33:03 +0100 Subject: Connectionists: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH) Message-ID: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH) 4 - 6 September 2024, Swansea, UK https://aiih.cc (1st CALL FOR ABSTRACT) [ apologies for cross-postings] Submission deadline: Monday 1 July (FIRM) *1. INTRODUCTION * https://aiih.cc/abstracts/ AIiH 2024 welcomes late-breaking short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. AIiH 2024 is a single track conference with oral and poster presentations and will include 5 keynote presentations. The conference will also feature a plenary session, which consists of 3 invited speakers who have extensive experiences in related areas. AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare. *2. KEYNOTE SPEAKERS* https://aiih.cc/keynote-speakers/ Prof. Hao Ni University College London Dr. Timothy Rittman Cambridge University Dr. Konstantinos Kamnitsas Oxford University Prof. Jacques Fleuriot Edinburgh University Prof. Eiichiro Tanaka Waseda University, Japan *3. PLENARY SESSION ON TRANSLATING AI RESEARCH INTO PRACTICE* https://aiih.cc/plenary-session/ Dr. Alba Di Pardo IRCCS Istituto Neurologico Mediterraneo Neuromed Dr. Noura Al Moubayed Durham University & Evergreen Life Dr. Haoda Fu Eli Lilly and Company *4. ABSTRACT SUBMISSION* Submission instructions are available at the conference website: https://aiih.cc/abstracts/ *5. IMPORTANT DATES* Abstract deadline: Monday 1 July (FIRM) Abstract notification: Monday 8 July (FIRM) Abstract registration: Monday 15 July Late registration: Monday 12 August Main conference: Wednesday 4 ? Friday 6 September 2024 *5. ORGANISERS* CONFERENCE GENERAL CHAIRS Xianghua Xie, Swansea University, UK Iain Styles, Queen?s University Belfast, UK PROGRAMME CHAIRS Gibin Powathil, Swansea University, UK Marco Ceccarelli, University of Rome Tor Vergata, Italy SPECIAL SESSION CHAIRS Jiaxiang Zhang, Swansea University, UK Rex Ying, Yale University, USA SPONSORSHIP CHAIRS Daniele Cafolla, Swansea University, UK Raoul van Loon, Swansea University, UK PUBLICITY CHAIRS Lu Zhang, Swansea University, UK Beiyu Lin, University of Nevada, USA PUBLICATION CHAIR Jingjing Deng, Durham University, UK *6. SPONSORS* Gold: - Technis Blu - Infordata Silver: - Amicus Therapeutics Bronze: - Zienkiewicz Institute for Modelling, Data and AI - IET Institution of Engineering and Technology Your Researcher Sponsor: - Elsevier Journal of Theoretical Biology Best Paper Award Sponsor: - Springer *7. CONTACT* contact at aiih.cc -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Mon May 6 20:34:19 2024 From: terry at salk.edu (Terry Sejnowski) Date: Mon, 06 May 2024 17:34:19 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2024 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 36, Number 5 - May 1, 2024 Now available for online download: http://www.mitpressjournals.org/toc/neco/36/2 http://cognet.mit.edu/content/neural-computation ----- Neural Computation - Contents -- Volume 36, Number 5 - May 1, 2024 Articles Sparse Firing in a Hybrid Central Pattern Generator for Spinal Motor Circuits Beck Strohmer, Elias Najarro, Jessica Ausborn, Rune W. Berg, Silvia Tolu Synaptic Information Storage Capacity Measured With Information Theory Mohammad Samavat, Thomas M. Bartol, Kristen M. Harris, Terrence J. Sejnowski Approximating Nonlinear Functions With Latent Boundaries in Low-rank Excitatory-inhibitory Spiking Networks William F. Podlaski, Christian K. Machens Letters Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang An Overview of the Free Energy Principle and Related Research Zhengquan Zhang, Feng Xu Heterogeneous Forgetting Rates and Greedy Allocation in Slot-based Memory Networks Promotes Signal Retention BethAnna Jones, Lawrence Snyder, ShiNung Ching ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From emergingtechnetwork.publicity at gmail.com Mon May 6 21:42:44 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Tue, 7 May 2024 04:42:44 +0300 Subject: Connectionists: ICCNS2024 CFP (Hybrid Conference and Co-Sponsored by IEEE): The International Conference on Intelligent Computing, Communication, Networking and Services, Dubrovnik, Croatia. Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024) Hybrid Event https://iccns-conference.org/2024/index.php 24-27 Sept. 2024 | DUBROVNIK, CROATIA. Technically Co-Sponsored by IEEE Croatia section *ICCNS 2024 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedent services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: May 15, 2024 * - Notification of acceptance: August 5, 2024 - Camera-ready Submission: August 25, 2024 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Tue May 7 02:00:40 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Tue, 7 May 2024 08:00:40 +0200 Subject: Connectionists: Neural-Symbolic Learning and Reasoning (NeSy) 2024: 8 days left for late/short paper submission Message-ID: 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024) ===== TL;DR ===== Dates: September 9-12, 2024 Location: Barcelona, Catalonia, Spain Website: https://sites.google.com/view/nesy2024 Late/short paper submission (extended): May 15, 2024 Recently-published paper abstract submission (extended): July 7, 2024 ===== NeSy 2024 ===== Following the almost 20 years of success of NeSy, the series of International Workshops on Neural-Symbolic Learning and Reasoning (http://www.neural-symbolic.org), in 2024 NeSy will return as the 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024), held in Barcelona (Catalonia, Spain) from September 9-12, 2024. NeSy continues to be the premier annual meeting point of the research community working on neurosymbolic integration, combining symbolic and subsymbolic approaches to learning and reasoning in AI systems. In 2024, NeSy hosts special tracks on Explainable AI and Generative AI. See the conference website (https://sites.google.com/view/nesy2024) for details. ===== Relevant Dates ===== Late/short paper submission: May 15, 2024 Author notifications: June 14, 2024 Camera-ready papers: June 21, 2024 Recently-published paper abstract submission: July 7, 2024 Author notification: July 15, 2024 ===== Proceedings ===== The proceedings of NeSy 2024 (including both full and will be published by Springer LNCS. Extended abstracts of recently-published papers will be published on the NeSy2024 website but will not be included in the official LNCS proceedings. See the conference website (https://sites.google.com/view/nesy2024) for detailed formatting and submission instructions. ===== Organizing Committee ===== General/Local Chair: + Tarek R. Besold (Sony AI, Barcelona) Program Chairs: + Ernesto Jimenez Ruiz (City, University of London) + Artur d'Avila Garcez (City, University of London) + Tarek R. Besold (Sony AI, Barcelona) Explainable AI Special Track Chairs: + Benedikt Wagner (City, University of London) + Roberto Confalonieri (University of Padova) Generative AI Special Track Chair: + Pranava Madhyastha (City, University of London) From pkoprinkova at yahoo.com Tue May 7 08:53:09 2024 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Tue, 7 May 2024 12:53:09 +0000 (UTC) Subject: Connectionists: AIMSA 2024: deadline is approaching References: <849352584.7897101.1715086389838.ref@mail.yahoo.com> Message-ID: <849352584.7897101.1715086389838@mail.yahoo.com> ?Dear Colleagues, I would like to remind you that the deadline for paper submission to AIMSA 2024 (https://www.aimsaconference.org/)?is approaching. Please submit your work by May 24, 2024 here: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FAIMSA2024%2FSubmission%2FManage The conference?is looking for submissionsoffering innovative methods, systems and applications that demonstrateefficiency and sustainability for the future of AI.?Efficiency?canbe demonstrated against current and traditional methods, systems andapplications. Sustainability?relates to the required resources,computational power, human wellbeing, positive impact on science and thesociety.? The AIMSA2024 Proceedings will be published by Springer Nature in their Lecture Notes inArtificial Intelligence subline of the Lecture Notes in Computer Scienceseries. Our outstanding key note speakers are: Plamen Angelov(Lancaster Intelligent, Roboticand Autonomous systems (LIRA) Centre, Lancaster University)- BringingDeep Learning and Reasoning Closer Zeng-GuangHou (State Key Lab of Management and Control for ComplexSystems, Institute of Automation, Chinese Academy of Sciences) - AIand BCI Based Interaction Control Methods for Robotics GiacomoIndiveri (University of Zurich and ETH Zurich,Switzerland) - Neuromorphic Intelligence: spiking neural network and on-linelearning circuits for brain-inspired technologies Important dates:Submission deadline: May 24, 2024Notification of acceptance:?July 1, 2024Deadline for camera-ready:?July 15, 2024Conference:?September 18-202024 Local Organizing Committee ChairPetia Koprinkova-Hristova -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathieu.desroches at inria.fr Tue May 7 08:23:32 2024 From: mathieu.desroches at inria.fr (Mathieu Desroches) Date: Tue, 7 May 2024 14:23:32 +0200 Subject: Connectionists: EBRAINS Brain Simulation Workshop 2024 (Bilbao, 3-7 June) Message-ID: <3F78B94A-87D1-4F78-A847-F456198A199C@inria.fr> Dear all, We are organising the next EBRAINS event in Bilbao from 3rd to 7th June. All infos regarding the registration deadline (22nd May) and the scientific program are available on the event?s webpage: https://www.bcamath.org/events/ebrains2024/en/ Best, Mathieu. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro Project Team Leader Inria Branch of the University of Montpellier, France https://www-sop.inria.fr/members/Mathieu.Desroches/ ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: inr_logo_rouge_petit.png Type: image/png Size: 7716 bytes Desc: not available URL: From laurent.perrinet at univ-amu.fr Tue May 7 09:37:35 2024 From: laurent.perrinet at univ-amu.fr (PERRINET Laurent) Date: Tue, 7 May 2024 13:37:35 +0000 Subject: Connectionists: PhD thesis 'Focus of attention: a sensory-motor task for energy reduction in spiking neural networks' Message-ID: <5CEBE5D7-10A2-4DE7-8C4B-BA700A39DB57@univ-amu.fr> Dear colleagues, It's a pleasure to share with you this fully-funded PhD position in computational neuroscience in interaction with neuromorphic engineering and neuroscience: https://laurentperrinet.github.io/post/2024-05-03_phd-position_focus-of-attention/ TL;DR: This PhD subject focuses on the association between attention and spiking neural networks for defining new efficient AI models for embedded systems such as drones, robots and more generally autonomous systems. The thesis will take place between the LEAT research lab in Sophia-Antipolis and the INT institute in Marseille which both develop complementary approaches on bio-inspired AI from neuroscience to embedded systems design. The application should include : ? Curriculum vit?, ? Motivation Letter, ? Letter of recommendation of the master supervisor. Cheers, Laurent PS: related references * Emmanuel Dauc?, Pierre Albig?s, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements efficient saccade selection. Journal of Vision. doi:https://doi.org/10.1167/jov.20.8.22 * Jean-Nicolas J?r?mie, Emmanuel Dauc?, Laurent U Perrinet (2020). Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. arXiv https://arxiv.org/abs/2402.15480 -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue May 7 11:33:48 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 7 May 2024 18:33:48 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, May 8 at 11am (EDT), Douglas Zhou, Jiatong University| "Neuronal network reconstruction through causality measures" 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 Douglas Zhou Jiatong University on the topic of "Neuronal network reconstruction through causality measures*"* The lecture will be held on zoom on *May 8, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Understanding the causal connectivity within a network is crucial for unraveling its functional dynamics. However?the inferred causal connections are fundamentally influenced by the choice of causality measure employed, which may not always align with the actual structural connectivity of the network. The relationship between causal and structural connectivity, especially how different causality measures affect the inferred causal links, requires further exploration. In this talk, we examine nonlinear networks characterized by pulse signal outputs, such as spiking neural networks, using four prevalent causality measures: time-delayed correlation coefficient, time-delayed mutual information, Granger causality, and transfer entropy. We provide a theoretical analysis of the interconnections among these measures when applied to pulse signals. Utilizing both a simulated Hodgkin?Huxley network and an empirical mouse brain network as case studies, we validate the quantitative relationships between these causality measures. Our results show a strong correspondence between the causal connectivity derived from any of these measures and the actual structural connectivity, thereby establishing a direct linkage between them. We highlight that structural connectivity in networks with output pulse signals can be reconstructed on a pairwise basis, without needing global information from all network nodes, effectively avoiding the curse of dimensionality. Our approach offers a robust and practical methodology for reconstructing networks based on pulse outputs. *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 Menno.VanZaanen at nwu.ac.za Wed May 8 05:02:08 2024 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Wed, 8 May 2024 09:02:08 +0000 Subject: Connectionists: Job Opening for Data Scientist with a focus on natural language processing Message-ID: Job Opening for Data Scientist with a focus on natural language processing Application link: https://bit.ly/3QAkC1M Application deadline: 31 May 2024 The South African Centre for Digital Language Resources (SADiLaR) is looking for a data scientist with a focus on natural language processing (permanent position). As a Data Scientist at the South African Centre for Digital Language Resources (SADiLaR) you will have the opportunity to initiate and lead projects focusing on Human Language Technology and Digital Humanities stemming from your own research interests. You will work closely together with a team of researchers as part of SADiLaR's extended network, both on your own and commissioned projects. Dissemination of project results at national and international conferences will be encouraged and supported. This position is crucial for research and development in Human Language Technology and Digital Humanities, fields that form the essence of SADiLaR, which is a national Research Infrastructure supported by the Department of Science and Innovation. Read more about SADiLaR at https://www.sadilar.org. Key responsibilities: - Research: Research in the area of Human Language Technology and Digital Humanities. - Project work: Initiating and contributing to Human Language Technology and Digital Humanities projects. - Teaching: Teaching in the area of Human Language Technology and Digital Humanities. - Mentorship: Mentorship of researchers in the field of Human Language Technology and Digital Humanities. Minimum requirements: - A PhD (NQF level 10) in one of the following fields: Computational Linguistics, Natural Language Processing, Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology, Artificial Intelligence, or related fields. The PhD should have a focus on computational aspects of linguistics. - A minimum of (five) 5 years' experience in the use of Python (other programming languages used within the computational linguistics or Digital Humanities domain can also be considered). - Evidence of peer-reviewed academic publications. - A minimum of (three) 3 years' experience as a supervisor/co-supervisor of students or playing a mentorship/supervising role for individuals. - A minimum of (three) 3 years' experience with using and/or developing computational tools. - A minimum of (three) 3 years experience related to research within the domain of Language Technology or Digital Humanities. - A minimum of (one) 1 year experience related to teaching or training within the domain of Language Technology or Digital Humanities. More information can be found at the application link. For informal inquiries please contact: Menno van Zaanen Menno will be attending LREC-COLING, so please feel free to connect with him for a discussion. Application link: https://bit.ly/3QAkC1M -- 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 ksharma.raj at gmail.com Wed May 8 08:17:10 2024 From: ksharma.raj at gmail.com (Raj Sharma) Date: Wed, 8 May 2024 17:47:10 +0530 Subject: Connectionists: First Call for Papers and Proposals: CODS-COMAD Dec'24 Message-ID: //TLDR // Dates for the upcoming CODS-COMAD are advanced by a couple of weeks. The next edition of the conference will be held in IIT Jodhpur on December 18-21, 2024. Paper submissions are invited in Research, Applied Data Science, Demo and Young Faculty and Researchers? Symposium (YFRS) Tracks. The conference is also soliciting proposals for Tutorials and Data Challenge. Go through the detailed call below and mark your calendars with the submission deadline. --------------------------------------------------------------------------------------------------- *CODS-COMAD Dec?24* 12th ACM IKDD CODS and 30th COMAD 8th Joint International Conference on Data Science & Management of Data December 18-21, 2024 | IIT Jodhpur https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- We are pleased to announce the 8th Joint International Conference on Data Sciences and Management of Data to be held in IIT Jodhpur, India, on December 18-21, 2024 as a fully physical conference. Conference dates are advanced by a couple of weeks this time, please mark your calendars with the submission deadline. CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 7th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work. - CALL FOR PAPERS AND PROPOSALS - RESEARCH TRACK The research track invites full as well as short papers describing innovative and original research contributions in the areas of data science, data management, data mining, machine learning, and artificial intelligence, as well as papers describing the design, implementation and results of solutions of such advances to real-world problems. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. The goal of the short papers is to provide a venue for innovative ideas such as engineered solutions, exciting work-in-progress or even negative results that would be interesting to the broader community. Authors of accepted papers will get an opportunity to showcase their work as an oral and poster presentation. For more details visit: https://cods-comad.in/call-for-research-track-papers.php APPLIED DATA SCIENCE TRACK The Applied Data Sciences (ADS) track invites both full as well as short papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, and practical MLOps approaches. Accepted papers will be given the opportunity to present their work as an oral presentation. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers.php TUTORIALS Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications, ethics of data science etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK The Demo track at CODS-COMAD provides an excellent opportunity for researchers, practitioners, and industry professionals to showcase their latest innovations, prototypes, tools, systems, or libraries in the fields of data sciences, data management, machine learning, AI, and related areas. We invite submissions for demonstrations on topics related to a broad range of data-driven applications, from data management and retrieval to the use of data science in real-world systems, and include libraries and tools for use by the community. Call for demo papers will be announced soon here: https://cods-comad.in/call-for-demo-track-papers.php YOUNG FACULTY AND RESEARCHERS' SYMPOSIUM The Young Faculty & Researchers' Symposium at CODS-COMAD 2024 invites submissions from young faculty or Postdocs (under 42 years of age) and young research students (Masters research scholars or BE/BTech students with published papers). This is a unique opportunity for young faculty to receive feedback from mid-career and senior faculty. This is also an opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. Call for papers for the Young Faculty and Researchers? Symposium will be posted soon. Bookmark this page for updates: https://cods-comad.in/call-for-young-researchers-symposium-papers.php DATA CHALLENGE The conference invites individuals or industry/academic groups to send their proposals for a Data Challenge to be held as part of the annual CODS-COMAD conference. The problem and the data set should be relevant to the Indian scientific community and society and try to address some problems particularly important in the India context. We are particularly looking for problems that are different from typical machine learning and data science challenges proposed at competitive venues in recent years. For more details, visit: https://cods-comad.in/call-for-data-challenge-proposals.php DIFFERENCE BETWEEN RESEARCH AND APPLIED DATA SCIENCE TRACK Check the link below to help you decide which track to submit your paper to. It is the authors? responsibility to submit their paper into the appropriate track. Papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review. https://cods-comad.in/research-track-vs-applied-data-science-track.php IMPORTANT DATES - Jun 15, 2024: Data Challenge proposal submission - Jun 30, 2024: Data Challenge acceptance notification - Jul 10, 2024: Abstract submission deadline in Research and ADS Tracks - Jul 15, 2025: Tutorial proposal submission deadline - Jul 17, 2024:Paper submission deadline in Research and ADS Tracks - Aug 31, 2024: First stage decision notifications (Accept/Reject/Revision) in in Research and ADS Tracks - Sep 21, 2024: Submission of revised papers in Research and ADS Tracks - Sep 30, 2024: Tutorial acceptance notification - Oct 15, 2024: Final decision notifications (Accept/Reject) in in Research and ADS Tracks - Nov 10, 2024: Camera ready PAPER SUBMISSION LINK https://cmt3.research.microsoft.com/CODSCOMAD2024 SUBMISSION INSTRUCTIONS AND POLICIES Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-and-policies.php AWARDS The best paper in each track will receive an award citation TRAVEL GRANTS Conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. ORGANIZING COMMITTEE General Chairs - Srikanta Bedathur (IIT Delhi) - Nitesh Chawla (University of Notre Dame) - Richa Singh (IIT Jodhpur) PC Chairs - Senjuti Basu Roy (New Jersey Institute of Technology) - Suparna Bhattacharya (Hewlett Packard Enterprise) - Neil Shah (Snap Inc.) - Mayank Vatsa (IIT Jodhpur) Tutorial Chairs - Manish Gupta (Microsoft) - Prasad Deshpande (Databricks) Young Researchers' Symposium (YRS) Chairs - Dinesh Babu Jayagopi (IIIT Bangalore) - Sriraam Natarajan (UT Dallas) Doctoral Consortium Chairs - Ponnurangam Kumaraguru (IIIT Hyderabad) - Hemank Lamba (Dataminr) Demo Chairs - Atul Kumar (IBM Research) Data Challenge Chair - Kuldeep Yadav (SHL) Diversity & Inclusion Chairs - Abhijnan Chakraborty (IIT Kharagpur) - Alpana Dubey (Accenture) Web Chair - Abinaya K (Flipkart) Proceedings Chairs - Abir De (IIT Bombay) - Ashutosh Modi (IIT Kanpur) Publicity Chair - Himanshu Bhatt (American Express) Student Travel Grants Chair - Maneet Singh (Mastercard) Sponsorship Chairs - Tridib Mukherjee (Games24x7) - Shourya Roy (Flipkart) Local Organizing Chairs - Suman Kundu (IIT Jodhpur) - Angshuman Paul (IIT Jodhpur) - Raj Sharma (Walmart Global Tech) Finance Chairs - Chandrashekhar Sahasrabudhe (ACM India) - Abhijat Vichare (ACM India) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Locke at kairosresearch.com Wed May 8 13:28:13 2024 From: Locke at kairosresearch.com (Locke Welborn) Date: Wed, 8 May 2024 17:28:13 +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: Louis Marti (louis at kairosresearch.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonio.cina at unige.it Wed May 8 11:25:32 2024 From: antonio.cina at unige.it (=?utf-8?B?QW50b25pbyBDaW7DoA==?=) Date: Wed, 8 May 2024 15:25:32 +0000 Subject: Connectionists: ICMLA 2024 Workshop CFP - Human Aligned AI: Towards Algorithms that Humans Can Trust Message-ID: <89B5645B-771D-4EFF-96FF-2383CFB2098C@unige.it> [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 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 Emanuele Cin?, University of Genoa Ambra Demontis, University of Cagliari ACKNOWLEDGEMENTS: ELSA Project https://www.elsa-ai.eu/ Antonio Emanuele Cin? Assistant Professor @ University of Genoa, DIBRIS Via All'Opera Pia, 13, 16145 Genova GE -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4384 bytes Desc: not available URL: From fabian.braesemann at oii.ox.ac.uk Wed May 8 12:22:31 2024 From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann) Date: Wed, 8 May 2024 16:22:31 +0000 Subject: Connectionists: CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 Message-ID: <2F086452-FD8A-4314-9CFF-906D430052D6@oii.ox.ac.uk> CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 13 th International Conference on Complex Networks & Their Applications Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until September 03, 2024. SPEAKERS (TBC) ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy TUTORIALS (December 09, 2024) ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands PUBLICATION 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) Extended versions will be invited for publication in special issues of international journals: o PLOS Complex Systems edited by PLOS. o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Entropy edited by MDPI o Advances in Complex Systems edited by World Scientific o Complex Systems Journal SUBMISSION: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/ 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 GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) PROGRAM CHAIRS Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 13th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France 10 - 12 December, 2024, Istanbul, Turkey fabian.braesemann at oii.ox.ac.uk +44 7731 700 704 Google Scholar | LinkedIn Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS -------------- next part -------------- An HTML attachment was scrubbed... URL: From biswasrussa at gmail.com Wed May 8 22:14:43 2024 From: biswasrussa at gmail.com (russa biswas) Date: Thu, 9 May 2024 04:14:43 +0200 Subject: Connectionists: [CFP] ACL 2024 Workshop on Knowledge Graphs and LLMs (KaLLM) Message-ID: Dear colleagues, Apologies for cross-posting. We want to invite you to submit the unpublished results of your research on Knowledge Graphs and Large Language Models to: *The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)*, to be held on *August 15, 2024*, co-located with *ACL 2024*, Bangkok, Thailand. Call for Participation *Submission Deadline: May 20, 2024 at 23:59, UTC -12h, AoE* *Website*: https://kallmworkshop.github.io/kallm2024/ *Contact email*: kallmworkshop2024 at googlegroups.com The workshop intends to provide a platform for researchers, practitioners, and industry professionals to explore the synergies between LLMs and KGs. We aim to provide a space for the LLM community and the community of KG researchers to interact and explore how these two communities could collaborate and support one another. *Important Dates* Submission Deadline: *May 20, 2024* Author Notifications: June 17, 2024 Camera-Ready Deadline: July 1, 2024 Workshop Date: August 15, 2024 *Submission Guidelines:* Papers must be submitted in PDF format using the official ACL template. More details are available on the website. *Scope of the workshop:* KaLLM invites quality research contributions as short or long papers and resource papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop. The submissions should focus on the interaction between LLMs and KGs in the context of NLP. The workshop will cover a diverse range of topics related to the integration of LLMs and KGs, including but not limited to: - Knowledge-enhanced language generation - KG-based question answering using LLMs - Fact validation and bias mitigation - KG creation and completion using LLMs - Privacy considerations in LLM-KG integration - Interpretability and explainability - Cross-domain applications - KG-based text summarisation with LLMs - Ethical implications of LLM-KG technologies - Multimodality of KGs and LLMs - Multilingual LLMs for KGs and vice-versa We look forward to receiving your submissions and having your valuable contribution to the success of the workshop. If you have any questions or require further information, please do not hesitate to contact us at kallmworkshop2024 at googlegroups.com or visit https://kallmworkshop.github.io/kallm2024/. Thank you and best regards, Workshop Organisers Russa Biswas, Hasso Plattner Institute, Germany Lucie Aim?e Kaffee, Hugging Face Oshin Agarwal, Bloomberg, USA Pasquale Minervini, University of Edinburgh, UK Sameer Singh, University of California, Irvine, USA Gerard de Melo, Hasso Plattner Institute, University of Potsdam, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Thu May 9 06:27:16 2024 From: efipatm at gmail.com (Efi) Date: Thu, 9 May 2024 13:27:16 +0300 Subject: Connectionists: Free AIDA short e-course "Context-Aware AI Conversational Agents with RAG Architecture", May 13-14, 2024 Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming short e-course by AIDA Lecturer Lucian Gruia ?*Context-Aware AI Conversational Agents with RAG Architecture*?. This course will be held on May 13-14, 2024, conducted online via Microsoft Teams. *Key concepts*: Conversational Agents Architecture, Retrieval-Augmented Generation (RAG) Architecture, Streamlining unstructured data, Large Language Models, Knowledge Representation Techniques, Data Embedding, Retrieval, Semantic Search, Reasoning *Details* Host Institution: Doctoral School of Electronics, Telecommunications & Information Technology | National University of Science and Technology Politehnica Bucharest Level: Postgraduate Schedule: Online via Microsoft Teams (the invitation on Microsoft Teams will be sent on May 10 by the lecturer), *May 13-14, 2024, 14:00-16:00 UTC* Join us and explore further: https://www.i-aida.org/course/context-aware-ai-conversational-agents-with-rag-architecture/ Both AIDA and non-AIDA students are encouraged to participate in this course for *free* - *AIDA Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also fill in the Registration Form . - Students/participants *not* associated with any AIDA member can join the course by filling out the Registration Form . The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Thu May 9 19:25:28 2024 From: nsmattei at gmail.com (Nicholas Mattei) Date: Thu, 9 May 2024 18:25:28 -0500 Subject: Connectionists: Deadline Extension: 8th International Conference on Algorithmic Decision Theory - ADT 2024 Message-ID: [Apologies for Multiple Postings!] *We have extended the deadline for ADT 2024 to May 24th, 2024 for abstract registration and May 31st, 2024 for full papers!!* *Note that we have an Abstract Only track where we encourage in process or under review work that can be submitted later to other venues! This is a great opportunity to increase the reach of your research!* *The 8th International Conference on Algorithmic Decision Theory - ADT 2024 will be held October 14-16, 2024, at the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University.* *We've got a great lineup of invited speakers including Xiao (Tracy) Liu, Herve Moulin, and Jenn Wortman Vaughan!* Website: https://preflib.github.io/adt2024/ ADT 2024 focuses on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics, and Operations Research in order to improve the theory and practice of modern decision support. The conference topics include research in: Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning and Adversarial Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Preference Modeling, Risk Analysis and Adversarial Risk Analysis, and Utility Theory. *Important Dates* *Title and Abstract Submission*: May 10, 2024 --> May 24, 2024 *Full Paper Submission*: May 17, 2024 --> May 31, 2024 *Notification*: July 19, 2024 *Final Version of Accepted Papers*: August 9, 2024 *Conference Dates*: October 14-16, 2024 *Submissions* Submissions are invited on significant, original, and unpublished research on all aspects of Algorithmic Decision Theory. Papers must be at most 15 pages long in the LNCS format (including references). The formal proceedings of ADT 2024 will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence (LNAI) . ADT 2024 will not accept any paper that, at the time of submission, has already been published in a journal or another venue with formally published proceedings. However, in order to accommodate the publication norms of the many fields that work on decision theory, papers can be submitted but not already published elsewhere (i.e., are under review) provided the authors note they are submitting for the non-proceedings track at the top of their submission. All papers will be peer-reviewed by a double-blind procedure. Therefore, papers must be submitted anonymously as pdf documents via the Microsoft CMT system. It is important and required that authors do not reveal their identities in submitted papers. Since the review process is double blind, authors must take measures to ensure that their identity is not easily revealed from the submission itself. Authors should include the submission number (as assigned by the conference system) in the author field of the submission, and refer to their prior work in a neutral manner (i.e., instead of saying ?We showed? say ?XYZ et al. showed?). It is acceptable to submit work that has been presented in public or has appeared on arXiv, provided the submission itself is anonymized. Submission Format: Authors should consult Springer?s authors? guidelines and use their proceedings templates , either for LaTeX or for Word, for the preparation of their papers. Note that at least one author of each accepted paper is required to attend the conference to present the work. Authors will be required to agree to this requirement at the time of submission. In addition, the corresponding author of each accepted paper that will appear in the proceedings, acting on behalf of all of the authors of that paper, will need to complete and sign a Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. To accommodate the publishing traditions of different fields, ADT 2024 will accept two types of submissions: Submissions with full text in the proceedings: Papers of this type will be accepted for either oral or poster presentation, or both. Each accepted paper of this type will be allocated at most 15 pages in the proceedings and there will be no distinction between papers accepted for oral or poster presentation in the conference proceedings. Submissions with one-page abstract in the proceeding: Papers of this type will be accepted for either oral or poster presentation, or both. Each accepted paper of this type will appear as a one-page abstract in the proceedings, along with a URL pointing to the full paper (on ArXiv or other service). This option is available to accommodate subsequent publication in venues that would not consider results that have been published in formal proceedings. Such papers must be formatted just like papers submitted for full-text publication, at the submission time, but authors are required to write ?submission without proceedings? into the author field of their paper (instead of author names), if they choose this category. Otherwise, it will be assumed, by default, that their paper is submitted in the first category (submissions with full-text in the proceedings). Rupert Freeman and Nicholas Mattei ADT 2024 Program Co-Chairs David Pennock and Lirong Xia ADT 2024 General Chairs -- *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 tanya.brown at ae.mpg.de Thu May 9 09:28:39 2024 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Thu, 9 May 2024 13:28:39 +0000 Subject: Connectionists: Mindvoyage with Cory Clark | May 23 Message-ID: [Inline image OWAPstImg513834] The Mindvoyage lecture series features prominent scholars from different disciplines including the humanities, biology, neuroscience and physics. Talks are dedicated to engaging in discussions related to novel, distinct and often controversial topics. The next talk will feature Cory Clark on May 23 @ 16:00 CET Free | Online event | All are welcome | Registration required CLICK HERE TO REGISTER [cid:image002.png at 01DAA1F3.4683D260] Abstract Taboos and Self-Censorship among Psychology Professors I will discuss results of qualitative interviews (n=41) and a quantitative survey (n=470) of U.S. psychology professors, identifying points of conflict and consensus regarding (1) controversial empirical claims and (2) normative preferences for how controversial scholarship?and scholars?should be treated. Professors strongly disagreed on the truth status of 10 candidate taboo conclusions. Professors more confident in the truth of the taboo conclusions reported more self-censorship, a pattern that likely biases perceived scientific consensus regarding the inaccuracy of controversial conclusions. Almost all professors worried about social sanctions if they were to express their own empirical beliefs. Most professors opposed suppressing scholarship and punishing peers based on moral concerns about research conclusions and reported contempt for peers who petition to retract papers on moral grounds. These results do not resolve empirical or normative disagreements among psychology professors, but they may provide an empirical context for their discussion. Registration Link Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium [Inline image OWAPstImg913088] Tanya Brown Scientific Project Manager | ARC-COGITATE Neural Circuits, Consciousness and Cognition Research Group Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany tanya.brown at ae.mpg.de [signature_3968922337] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Abstracts by 17th May for the UK Neural Computation meeting July 8-10th, Sheffield In-Reply-To: References: Message-ID: The deadline for abstract submission to the UK Neural Computation meeting 2024 is May 17th https://neuralcomputation.uk/submission.html 4 submitted abstracts will be selected for main meeting talks UK Neural Computation (https://neuralcomputation.uk/) is a national meeting for everyone interested in the computations of the brain, both experimentally and theoretically. It will be in Sheffield, 8-10th July Registration: https://neuralcomputation.uk/registration.html Deadline of 21st June 2024 Discounted accommodation options also available. 8 July: ECR day. ~40 places are available 9-10 July: main meeting Enquiries: uknc24 at sheffield.ac.uk Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Fri May 10 08:26:06 2024 From: efipatm at gmail.com (Efi) Date: Fri, 10 May 2024 15:26:06 +0300 Subject: Connectionists: CFP (Deadline Extension)- Big Visual Data Analytics (BVDA) Workshop at ICIP, 27-30 October 2024, Abu Dhabi, UAE Message-ID: *CALL FOR PAPERS* *Big Visual Data Analytics (BVDA) Workshop** at ICIP 2024* *IEEE International Conference on Image Processing, 27-30 October 2024, Abu Dhabi, UAE* We invite researchers and practitioners working on various aspects of *big visual data analytics* to submit their work to the *Big Visual Data Analytics (BVDA) Workshop*, organized in conjunction with the* IEEE International Conference on Image Processing (ICIP) 2024. *The ever-increasing visual data availability leads to repositories or streams characterized by big data volumes, velocity (acquisition and processing speed), variety (e.g., RGB or RGB-D or hyperspectral images) and complexity (e.g., video data and point clouds). Their processing necessitates novel and advanced visual analysis methods, in order to unlock their potential across diverse domains. The *BVDA Workshop* aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets. From high-throughput biomedical imaging and autonomous driving sensors to satellite imagery and social media platforms, visual data has permeated nearly every aspect of our lives. Analyzing this data effectively requires efficient tools that go beyond traditional methods, leveraging advancements in machine learning, computer vision and data science. Exciting new developments in these fields are already paving the way for *fully and semi-automated visual data analysis workflows at an unprecedented scale.* This workshop will provide a platform for researchers and practitioners to discuss recent breakthroughs and challenges in big visual data analytics, explore novel applications across diverse domains (e.g., environment monitoring, natural disaster management, robotics, urban planning, healthcare, etc.), as well as for fostering interdisciplinary collaborations between computer vision, data science, machine learning, and domain experts. Its ultimate goal is to help identify promising research directions and pave the way for future innovations. The BVDA Workshop delves deeper into specific aspects of big visual data, complementing the broader ICIP themes. Thus it can generate new research interest and collaborations within the main conference community, while attracting researchers and practitioners specifically interested in big visual data analytics. Its interdisciplinary nature, its focus on cutting-edge areas (e.g., large Vision-Language Models, distributed deep neural architectures, fast generative models, etc.) and its synergies with neighboring fields (e.g., privacy-preserving analytics, real-time visual analytics, ethical considerations, etc.) broaden the discussion. *Topics of interest* include (non-exhaustively) the following ones: - Scalable algorithms and architectures for big visual data processing and analysis. - High-performance computing, distributed and parallel processing, efficient data storage and retrieval for big visual data analysis. - Deep learning architectures for large-scale visual content understanding, search & retrieval: Convolutional Neural Networks (CNNs), Transformers, Self-Supervised Learning, etc. - Big visual data summarization. - Decentralized/distributed DNN architectures for big visual data analysis. - Cloud/edge computing architectures for big visual data analysis. - Multimodal big visual data analysis. - Large Vision-Language Models/Foundation Models. - Fast generative models for visual data: Synthesizing realistic images/videos, data augmentation, in-painting and manipulation. - Fast Interpretability and eXplainability (XAI) of visual analytics models: Understanding and communicating model decisions, trust and bias in AI systems. - Privacy-preserving analytics in the context of big visual data: Secure data processing, differential privacy, federated learning. - Visual analytics for real-time applications: Efficient analysis of visual streaming data, edge/fog computing. - Visual analytics for specialized domains: Remote sensing, natural disaster management, medical imaging, social media analysis, etc. - Ethical considerations in big visual data analytics: Data ownership, fairness, accountability, societal impact. The regular ICIP paper template/style must be used for submission. All accepted contributions will be *published in IEEE Xplore*. The paper submission deadline is *May* *13, 2024*. *For further details and submission instructions visit: * https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/ Organizers Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA ), Director of the Artificial Intelligence and Information analysis (AIIA ) Lab, Aristotle University of Thessaloniki, Greece. Prof. Massimo Villari: University of Messina, Italy. Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens. -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Fri May 10 04:59:47 2024 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Fri, 10 May 2024 10:59:47 +0200 Subject: Connectionists: Final CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition adaptation shared task (multilingual & cardiology) In-Reply-To: References: Message-ID: (Apologies for cross-posting) *Final CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition adaptation shared task (multilingual & cardiology)* *https://temu.bsc.es/multicardioner/ * The MultiCardioNER track focuses on the adaptation of clinical NER systems to specific high impact clinical application domains (cardiovascular diseases, the leading cause of death globally) as well as to multiple languages (*English, Spanish and Italian*), focusing on two clinical entity types: diseases and medications. *Key information:* ? *Web*: https://temu.bsc.es/multicardioner ? *Data*: https://zenodo.org/records/11103522 ? *BioASQ** web*: http://bioasq.org/ ? *Registration**:* https://temu.bsc.es/multicardioner/registration/ *Motivation*The extraction of clinical variables from medical content is key to enable efficient healthcare data analytics. Due to the highly specialized medical language, with considerable variation depending on the medical discipline, more specialized automatic semantic annotation resources are needed, not only for English but also other languages. This is particularly true for clinical content related to cardiovascular diseases (CVDs), which represent the leading cause of death globally, responsible for approximately 17.9 million deaths/year. The MultiCardioNER task will focus on the automatic recognition of two key clinical variables or concept types, namely diseases and medications in cardiology clinical case documents with the following two aims: ? Adaptation of general clinical concept recognition systems to cardiology case reports to assess and determine how well such systems can be adapted to high impact clinical application domains / specialties (cardiology disease NER - CardioDis subtrack: Spanish). ? Promote the comparative assessment and development of clinical entity recognition systems for multiple languages (i.e., medication mention detection) as well as adaptation to specific medical specialties (MultiDrug subtrack: English, Spanish and Italian) To enable the adaptation of general medical NER systems for diseases and medications the MultiCardioNER task will rely on a training collection of 1000 general clinical case reports in Spanish annotated with diseases (Spanish) and medications (English, Spanish and Italian). Moreover, to be able to adapt such general medical NER approaches to cardiology case reports a development set of 250 cardiology cases will be released. The test set will consist of an additional test collection of 250 cardiology case reports. The evaluation of systems for this task will use flat evaluation, mainly micro-averaged Precision, Recall and F-measure (MiF). Sub-tracks: *Subtask 1 (CardioDis): *Spanish adaptation of disease recognition systems to the cardiology domain *Subtask 2 (MultiDrug): *Multilingual (Spanish, English and Italian) adaptation of medication recognition systems to the cardiology domain *Tentative schedule* ? MultiCardioNER Train+Dev Set Release April 9th, 2024 ? MultiCardioNER Annotation Guidelines Release April 17th, 2024 ? MultiCardioNER Gazetteer Release April 17th, 2024 ? MultiCardioNER Test Set Texts Release May 2nd, 2024 ? Participant Test Predictions Deadline May 15th, 2024 ? Participant Evaluation Result Release May 19th, 2024 ? Submission of Participant Papers Deadline May 31st, 2024 ? Notification of Acceptance of Participant Papers June 24th, 2024 ? Submission of Camera-ready Participant Papers Deadline July 8th, 2024 ? BioASQ @ CLEF2024 September 9th-12th, 2024 *Publications & conference* Following previous BioASQ/CLEF efforts, participating teams will be invited to contribute a short systems description paper for the CLEF 2024 proceedings, and to give a short presentation of their approach at the BioASQ workshop at the CLEF 2024 conference (September 09-12, 2024, in Grenoble, France) *The **MultiCardioNER Organizers & collaborators:* - Salvador Lima-L?pez, Barcelona Supercomputing Center (BSC), Spain - Eul?lia Farr?-Maduell, Barcelona Supercomputing Center (BSC), Spain - Jan Rodr?guez-Miret, Barcelona Supercomputing Center (BSC), Spain - Martin Krallinger, Barcelona Supercomputing Center (BSC), Spain - Anastasios Nentidis, National Center for Scientific Research Demokritos, Greece - Anastasia Krithara, National Center for Scientific Research Demokritos, Greece - Georgios Katsimpras, National Center for Scientific Research Demokritos, Greece - Livia Lilli, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Italy - Jacopo Lenkowicz, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Italy - Jonathan Kossoff, University College London Hospitals NHS Foundation Trust, UK - Giovanna Ceroni, University College London, UK - Anoop Shah, University College London Hospitals NHS Foundation Trust, UK ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Fri May 10 09:05:20 2024 From: bart at ai.vub.ac.be (Bart de Boer) Date: Fri, 10 May 2024 15:05:20 +0200 Subject: Connectionists: Professorship in AI at Vrije Universiteit Brussel, Belgium Message-ID: Dear all, The artificial intelligence lab of the Vrije Universiteit Brussel (Brussels, Belgium) is looking for candidates for a full-time professor position. For more information, see the following link: https://jobs.vub.be/job/Elsene-Professor-of-Artificial-Intelligence/1065454901/ Best regards, Bart de Boer. From ludovico.montalcini at gmail.com Sat May 11 03:42:38 2024 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sat, 11 May 2024 09:42:38 +0200 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: May 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: May 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); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * 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 "How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone" Johannes Schmidt-Hieber, University of Twente, The Netherlands "Towards a statistical foundation for machine learning methods" Michal Valko, Google DeepMind Paris, INRIA & ?cole Normale Sup?rieure Paris-Saclay, France "Fine Tuning Large Language Models & Gemini" 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 * -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgios.yannakakis at um.edu.mt Sat May 11 03:48:54 2024 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Sat, 11 May 2024 09:48:54 +0200 Subject: Connectionists: CfP- The 1st Workshop on Computer Vision for Videogames (CV2) @ ECCV Message-ID: *Call for Papers - The First Workshop on Computer Vision for Videogames (CV2)* https://sites.google.com/nvidia.com/cv2 In conjunction with ECCV 2024, Milan (Italy), 29th Sept / 4 Oct 2024. https://sites.google.com/nvidia.com/cv2/ *Scope* Our scope is to bring together people working in Computer Vision (CV) and, more broadly speaking, Artificial Intelligence (AI), to talk about the adoption of CV/AI methods for videogames, that represent a large capital market within creative industries and a crucial domain for AI research at the same time. Our workshop will cover various aspects of videogames development and consumption, ranging from game creation, game servicing, player experience management, to bot creation, cheat detection, and human computer interaction mediated by large language models. We believe that focusing on CV for videogames will bring together cohesively related works with foreseeable and practical impact on today?s market, thus we will give priority to submissions specifically devoted to the application of state of the art CV/AI methods FOR videogames, while we will assign lower priority to submissions on the adoption of videogames as test beds for the creation and testing of CV/AI methods. We also plan to favor the presentation of novel datasets that can sparkle further research in this field. The committee and keynotes include multiple genders, researchers with origins from different geographical areas (USA, EU, Asia), from both industry (NVIDIA, Activision, Blockade Labs, Microsoft, Snap) and academia (Universities of Trento, Malta, Stanford), and different research experience (from PhD students to full professors and managers). We intend promoting cross- disciplinary and diversity not only within the members of the organizing committee, but also in the list of topics covered by the workshop. A latest generation GPU sponsored by NVIDIA will be awarded to the best academic paper, to help researchers that may not have access to significant computational resources. The workshop will help sharing and discussing different points of view on the future of CV in videogames in a friendly environment. *Timeline* The deadline for paper submission is Jul, 19th, 2024 (11:59PM, Pacific time). Decisions to authors will be released on Aug, 19th, 2024. The camera ready deadline is set to Aug, 31th, 2024 (11:59PM, Pacific time). *Submission guidelines* Submissions will follow the ECCV format (more detailed instructions will be published here, see the ECCV website for format instruction). Submit your paper here: https://cmt3.research.microsoft.com/CVV2024/. We look forward to receiving your submissions! *The organizers* Iuri Frosio (Principal Research Scientist, NVIDIA, Italy) Ekta Prashnani (Research Scientist, NVIDIA, USA) Nicu Sebe (Professor, University of Trento, Italy) Rulon Raymond (Director of Engine Engineering, Infinity Ward, USA) Georgios N. Yannakakis (Professor, Institute of Digital Games, University of Malta, Malta) David Durst (PhD Candidate, Stanford University, USA) Marguerite De Courcelle, (CEO, Blockade Labs) Joohwan Kim (Research Scientist and Manager, NVIDIA, USA) -- Georgios N. Yannakakis | Professor Editor in Chief, IEEE Trans. on Games Institute of Digital Games, 20 Triq L-Esperanto +356 2340 3510 -- *The contents of this email are subject to?*these terms .** -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sat May 11 03:33:50 2024 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sat, 11 May 2024 09:33:50 +0200 Subject: Connectionists: Last seats left @ 7th Advanced Course on Data Science & Machine Learning - ACDL 2024 - From Deep Learning to Multimodal Foundation Models | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by 23 May Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * * Last 30 seats left, hurry up and register! * #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 May 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by May 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: ?Artificial Intelligence: Where We Are, Where We Are Going?? * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sergiy Butenko, Texas A&M University, USA ?Cluster-detection Methods in Network-based Data Analysis? ?Continuous Approaches to Cluster-Detection Problems in Networks ? * 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 Lecture 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 Lecture "Generalized Belief Propagation Algorithms for Tensor Network Contractions" PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: https://acdl2024.icas.events/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/ 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 May 23) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA? (by May 23); 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 11 03:35:48 2024 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 11 May 2024 09:35:48 +0200 (CEST) Subject: Connectionists: DeepLearn 2024: early registration June 10 Message-ID: <1154248844.3733371.1715412948551@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: June 10, 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 16 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/advanced] Optimizing LLM Inference 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 Wojciech Samek (Fraunhofer Heinrich Hertz Institute / Technical University of Berlin), [introductory/intermediate] From Feature Attributions to Next-Generation Explainable AI Xinghua Mindy Shi (Temple University), [introductory/intermediate] Trustworthy Machine Learning for Human 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 are 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 ludovico.montalcini at gmail.com Sat May 11 03:42:15 2024 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sat, 11 May 2024 09:42:15 +0200 Subject: Connectionists: Call for Participation & Papers - ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: May 23 Message-ID: Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by May 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Course Deadlines Regular Registration (Course): by May 23, 2024. https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 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://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Sat May 11 09:04:47 2024 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Sat, 11 May 2024 13:04:47 +0000 Subject: Connectionists: (CfP) ECCV 2024: 7th 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 7th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the European Conference on Computer Vision (ECCV), 2024. (1): The Competition is split into the below two Challenges: * Multi-Task-Learning Challenge (three tasks are considered: i) valence-arousal estimation, ii) expression recognition and iii) action unit detection; a static version of Aff-Wild2 database is used) * Compound Expression Recognition Challenge (a part of C-EXPR-DB is used) 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 ECCV 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 ECCV 2024 proceedings. More information about the Competition can be found here. Important Dates: * Call for participation announced, team registration begins, data available: 09 May * Final submission deadline: 18 July * Winners Announcement: 24 July * Final paper submission deadline: 29 July * Notification of acceptance: 25 August * Camera ready version deadline: 31 August Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Abhinav Dhall, Flinders University, Australia Shreya Ghosh, Curtin University, Australia (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 ECCV 2024 proceedings. Important Dates: Paper Submission Deadline: 29 July Review decisions sent to authors; Notification of acceptance: 25 August Camera ready version 31 August Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Abhinav Dhall, Flinders University, Australia Shreya Ghosh, Curtin University, Australia 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, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR Lecturer (Assistant Professor) in Artificial Intelligence Member of Centre for Multimodal AI Affiliate Member of Centre for Human Centred Computing Member of Multimedia and Vision Group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics Academic Fellow of Digital Environment Research Institute School of EECS Queen Mary University of London ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Sun May 12 12:32:33 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Sun, 12 May 2024 18:32:33 +0200 Subject: Connectionists: Call for Participation & Papers - ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: May 23 In-Reply-To: References: Message-ID: Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by May 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Course Deadlines Regular Registration (Course): by May 23, 2024. https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 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://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Sun May 12 20:35:23 2024 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Sun, 12 May 2024 20:35:23 -0400 Subject: Connectionists: position at NIH: Data Scientist and Senior Advisor to the Director of the National Institute on Drug Abuse Message-ID: The National Institute on Drug Abuse (NIDA) is seeking a GS-15 Data Scientist for the Office of the Director. The incumbent of this position will serve as a Data Scientist and Senior Advisor to the NIDA Director and other leadership positions, on matters related to health informatics and data science, data management, emerging technologies, opportunities for collaboration, data standards and policy within the scope of the NIDA mission. The incumbent will plan and carry out quality control programs and select statistical methods for use in quality control analysis and ensure the reliability and consistency of the data while measuring the data limitations. Additionally, the selectee will provide technical expertise and project leadership necessary to advance strategic initiatives in the use and effectiveness of data- and knowledge-driven methods in the organization; and develop collaborations with researchers and administrators applying technical expertise to support a variety of use cases related to neuroscience. Some of the duties include but are not limited to the following: - Serves as a principal advisor to the NIDA Director and senior leadership on health informatics and data science, data management, and emerging technologies. - Contribute as a recognized expert in the design and implementation of computer-based solutions, including tools, techniques and practices that broaden the use of NIDA data sets and knowledge bases and ensure access to research data throughout its lifecycle. - Serve as the Institute's subject matter expert (SME) on issues and matters related to new, novel, and/or emerging technologies and areas in data analytics and their application to supporting the Institute's research portfolio; business process improvements and enhancements; data policies related to privacy, accessibility, and interoperability; and applied data science. - Serve as a member of committees or workgroups at the agency or department level as well as on interdepartmental groups. In this capacity, the incumbent provides professional expertise as well as representing NIDA on matters relating to policy and interpretation of resource requirements for data science. - Represent the organization at professional meetings and conferences where the focus is addiction-related data science and neuroinformatics. The ideal candidate will have a bachelor?s degree or graduate/higher level degree in mathematics, statistics, computer science, or data science. The successful candidate will also possess extensive knowledge of and documented experience working in neuroscience, addiction science, and/or substance use disorder research. The candidate must be a U.S. Citizen or U.S. National. Foreign nationals or legal permanent residents are not eligible for consideration. https://www.usajobs.gov/job/782086300 From wanling.cai at tcd.ie Sun May 12 04:12:08 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sun, 12 May 2024 08:12:08 +0000 Subject: Connectionists: ACM UMAP 2024 - Early Bird Registration until May 16 Message-ID: * We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 ? Early Bird Registration until May 16 ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024?s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Early Registration until May 16, 2024 - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair at um.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Sun May 12 10:37:20 2024 From: doya at oist.jp (Kenji Doya) Date: Sun, 12 May 2024 14:37:20 +0000 Subject: Connectionists: Research Positions at OIST Neural Computation Unit Message-ID: Neural Computation Unit (prof. Kenji Doya) at Okinawa Institute of Science and Technology Graduate University (OIST) has multiple open research positions. 1. Theory and experimental investigation of Bayesian inference and reinforcement learning by the cortex, basal ganglia, and neuromodulator systems ? Unified Theory of Prediction and Action: https://unifiedtheory.jp/en/organization/a03-doya/ ? Moonshot R&D Program: https://www.jst.go.jp/moonshot/en/program/goal9/9D_miyazaki.html 2. Data-driven construction of neural network models and large-scale simulation ? Brain/MINDS 2.0 Digital Brain Project: https://groups.oist.jp/ncu/digital-brain-project ? Fugaku Whole Brain Simulation Project: https://brain-hpc.jp/en/ 3. Application of wearable devices for monitoring mind and body state to support healthy life ? Bioconvergence Center of Innovation: https://bioconvergence.jp/en/ 4. Flexible and robust reinforcement learning and meta-learning algorithms 5. Development of smartphone robots for multi-agent learning and embodied evolution If you are interested, please visit our web site: https://groups.oist.jp/ncu and apply by the web form: https://groups.oist.jp/ncu/oist-neural-computation-unit-job-application-form If you are interested to join as a PhD student or an intern, please apply from OIST Graduate School admission site: https://admissions.oist.jp/ Best wishes, Kenji ---- 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 genevievejourdainlambert at gmail.com Mon May 13 04:17:15 2024 From: genevievejourdainlambert at gmail.com (Genevieve Jourdain-Lambert) Date: Mon, 13 May 2024 10:17:15 +0200 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 You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy *TUTORIALS (December 09, 2024)* ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands *PUBLICATION* 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)* Extended versions will be invited for publication in *special issues of international journals:* o PLOS Complex Systems edited by PLOS . o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Entropy edited by MDPI o Advances in Complex Systems edited by World Scientific o Complex Systems Journal *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* *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 *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey -------------- next part -------------- An HTML attachment was scrubbed... URL: From valerie.gouet at ign.fr Mon May 13 04:06:11 2024 From: valerie.gouet at ign.fr (Valerie Gouet) Date: Mon, 13 May 2024 10:06:11 +0200 (CEST) Subject: Connectionists: [CfP] SUMAC'24 @ACMMM'24: the 6th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents Message-ID: <810633151.1644750.1715587571637.JavaMail.zimbra@ign.fr> [Apologies if you receive multiple copies of this CfP] Call for Papers SUMAC 2024 6th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents Advances in machine learning, signal processing, multimodal techniques and human-machine interaction 28 Oct - 1 Nov, 2024 Melbourne, Australia (attendance mode TBA) In conjunction with ACM Multimedia 2024 Workshop: [ https://sumac-workshops.github.io/2024/ | https://sumac-workshops.github.io/2024/ ] Main Conference: [ https://2024.acmmm.org/ | https://2024.acmmm.org/ ] *** Aims and scope The ambition of SUMAC is to bring together researchers and practitioners from different disciplines to share ideas and methods on current trends in the analysis, understanding and promotion of heritage contents. These challenges are reflected in the corresponding sub-fields of machine learning, signal processing, multi-modal techniques and human-machine interaction. We welcome research contributions for the following (but not limited to) topics: * Monomodal analysis: text, structured referentials, image, video, 3D, music, sensor data * Information retrieval for multimedia heritage * Automated 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 (AoE) * Paper submission: July 19, 2024 * Author acceptance notification: August 5, 2024 * Camera-Ready: August 19, 2024 * Workshop date: TBA (28 Oct - 1 Nov, 2024 ) *** Special Highlights Best Paper Award. Following tradition, SUMAC 2024 will also be awarding a best paper award, accompanied with a certificate and a trophy. *** Submission guidelines Submission format. All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work (full paper) as well as work in progress (short paper). Two submission formats are accepted: a) 4 pages plus 1-page reference (short paper); or b) 8 pages plus up to 2-page reference (full paper). They must be encoded as PDF using the ACM Article Template of the main conference ACM Multimedia 2024 ( [ https://2024.acmmm.org/regular-papers | https://2024.acmmm.org/regular-papers ] ). Peer Review and publication in ACM Digital Library. Paper submissions must conform with the ?double-blind? review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published in the ACM Digital Library. *** Organizers Valerie Gouet-Brunet (LaSTIG Lab / IGN - Gustave Eiffel University, France) Ronak Kosti (Picsart AI Research Lab, Germany) Li Weng (Zhejiang Financial College, China) Looking forward to hearing from you at SUMAC! The workshop organizers -- 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 maria.m.hedblom at gmail.com Mon May 13 04:13:50 2024 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Mon, 13 May 2024 10:13:50 +0200 Subject: Connectionists: =?utf-8?q?Call_for_participation=3A_SCAI=E2=80=99?= =?utf-8?q?24_-_The_14th_Scandinavian_Conference_on_AI=2E_10-11th_J?= =?utf-8?b?dW5lLCAyMDI0LiBKw7Zua8O2cGluZywgU3dlZGVu?= Message-ID: *(apologies for possible cross-posting)*Call for Participation *SCAI?24* - The 14th Scandinavian Conference on AI 10-11th June, J?nk?ping, Sweden Event website: SCAI Symposium 2024 -- Registration deadline: May 30th -- You are heartily invited to participate in the 14th Scandinavian Conference on Artificial Intelligence! Theme: AI for a better society In the last years, research on Artificial Intelligence in academia and industry has taken 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 interested in learning more about AI to participate in the conference. 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) which offers a unique perspective of the sun setting over V?ttern. Important Dates - Registration deadline: May 30 - Conference: June 10-11 Keynote Speakers In addition to the scientific and social program, SCAI has four keynote speakers all capturing different aspects of the conference theme: AI for a better society. The keynotes and their talks are presented below. Virginia Dignum Professor of Computer Science at Ume? University. *Title:* Beyond the AI hype: Balancing Innovation and Social Responsibility *Abstract*: AI can extend human capabilities but requires addressing challenges in education, jobs, and biases. Taking a responsible approach involves understanding AI's nature, design choices, societal role, and ethical considerations. Recent AI developments, including foundational models, transformer models, generative models, and large language models (LLMs), raise questions about whether they are changing the paradigm of AI, and about the responsibility of those that are developing and deploying AI systems. In all these developments, is vital to understand that AI is not an autonomous entity but rather dependent on human responsibility and decision-making. In this talk, I will further discuss the need for a responsible approach to AI that emphasize trust, cooperation, and the common good. Taking responsibility involves regulation, governance, and awareness. Ethics and dilemmas are ongoing considerations but require understanding that trade-offs must be made and that decision processes are always contextual. Taking responsibility requires designing AI systems with values in mind, implementing regulations, governance, monitoring, agreements, and norms. Rather than viewing regulation as a constraint, it should be seen as a stepping stone for innovation, ensuring public acceptance, driving transformation, and promoting business differentiation. Responsible Artificial Intelligence (AI) is not an option but the only possible way to go forward in AI. Timo Minssen Director at JUR Centre for Advanced Studies in Biomedical Innovation Law *Title: *Navigating the EU AI Act in a complex regulatory eco-system: Implications for Medical Devices *Abstract: *The newly adopted EU AI Act represents a pivotal milestone that heralds a new era of AI regulation across industries. With its broad territorial scope and applicability, this comprehensive legislation establishes stringent requirements for AI systems. This talk is based on a collaborative article analyzing the AI Act?s impact on digital medical products such as medical devices. Timo Minssen will address several pressing questions, such as: How does the AI Act apply to AI/ML-enabled medical devices? How are they classified? What are the compliance requirements? And what are the obligations of ?providers? of these AI systems? And what will be AI Act?s broader implications for the future of medical device innovation. Shalom Lappin Professor at Queen Mary University of London *Title: **The Deep Learning Revolution in AI: Dan**gers Real and Imagined* *Abstract:* The emergence of transformers that drive Large Language Models has produced a revolution in the capacities of AI systems. Many of these systems can now handle a variety of cognitively interesting tasks at or above human levels of performance. In this talk I will briefly review the major technical breakthroughs and architectural changes that have given rise to transformers. I will then look at some of the dangers that they pose. These need to be carefully described and distinguished from some of the ungrounded anxieties that have been the focus of discussion in the popular media. It is essential to understand the scientific and engineering elements of current AI systems in order to appreciate what they can actually do, this needs to be the starting point for a serious discussion of a rational public policy for regulating these systems. Patrik J?genstedt Director Advanced Development, Robotics & AI Lab at Husqvarna *Title:* TBA *Abstract: *TBA 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 at 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 publicity at acsos.org Mon May 13 21:43:29 2024 From: publicity at acsos.org (ACSOS Publicity Chairs) Date: Mon, 13 May 2024 22:43:29 -0300 Subject: Connectionists: ACSOS 2024 - Extended Deadline - May 18th, 2024 Message-ID: We are extending the deadline for the main track. The new deadline is May 18th, 2024. Abstract Submission: May 14th, 2024 (optional) Submission Deadline: May 18th, 2024 Notification to Authors: June 24th, 2024 Camera Ready Submission: August 5th, 2024 All times in Anywhere on Earth (AoE) timezone. Further details: https://2024.acsos.org/track/acsos-2024-papers ******************************************************* 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems 16-20 September 2024 - Aarhus, Denmark https://2024.acsos.org/ https://twitter.com/ACSOSconf -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Mon May 13 22:41:56 2024 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 14 May 2024 02:41:56 +0000 Subject: Connectionists: Deadline approaching: SBP-BRiMS'2024 -- Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2024 17th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 18-20, 2024 Will be held in hybrid mode (In-person in Pittsburgh, PA, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build a community of social cyber scholars by fostering interaction among members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior in our quickly evolving social world of today. The conference values diverse disciplinary participation from the social, behavioral, physical, and computational sciences and welcomes a broad range of methodological approaches (agent-based models, online experiments, network science and social network analysis, and machine learning). All computational social science papers and panels are welcome. Some illustrative topics include: ??Social Cyber Security ??Trust in AI; Human-AI Interaction ??Blockchain and Privacy-Preserving Technologies ??Social Media Analytics and Network Science ??Online Collective Action, Social Movements, and Mob Dynamics ??Military in the Age of AI ??Cognition and Organization Theory ??Disinformation, Deepfakes, and Online Harms ??Applications (Healthcare, Economics, Government, Military, etc.) BEST PAPER AWARDS: All accepted and presented full papers will compete for Best Conference Paper Award and Best Student Paper Award. Only Student first author papers will be considered for the Best Student Paper Award. Papers will be evaluated on originality, technical merit, and significance to social-cyber applications. Winners will be announced at the conclusion of the conference and will have an opportunity to publish an extended version of their paper in the Computational and Mathematical Organization Theory (CMOT) special issue. IMPORTANT DATES: Full Paper Submission: 2-Jun-2024 Author Notification: 30-Jun-2024 Final Files Due : 14-Jul-2024 Panel/Tutorials/Working Paper due: 21-Jul-2024 Panel/Tutorial/Working Paper Notification: 4-Aug-2024 Final Files due: 1-Sep-2024 Challenge Response due: 21-Jul-2024 Challenge Notification: 4-Aug-2024 Final Files due: 1-Sep-2024 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference will have a computational challenge as in previous years. Additional details are available at the conference Challenge website: http://sbp-brims.org/2024/challenge/. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 14 04:53:20 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 14 May 2024 10:53:20 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Participation_FRCCS_2024_?= =?utf-8?q?=E2=80=93_May_29-31=2C_2024_Montpellier_France?= Message-ID: The FRCCS 2024 Conference will be held at University of Montpellier in the beautiful city of Montpellier , France. It is the 4th event of the series, sponsored by CSS France . Please join us to learn about the latest research, innovations, and insights from experts in the field at the FRCCS 2024 conference. Five Keynote Speakers will present the latest developments and research topics. ? 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 More details at: https://iutdijon.u-bourgogne.fr/ccs-france/speakers/ We prepared an exciting program with around 60 top contributions presented in 9 oral sessions, 1 poster session, and 3 workshops. More details at: https://iutdijon.u-bourgogne.fr/ccs-france/program/ REGISTRATION is OPEN: https://iutdijon.u-bourgogne.fr/ccs-france/registration/ Take a chance to visit Occitanie South of France . See you very soon in Montpellier for fruitful exchanges! 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 simona.olmi at fi.isc.cnr.it Tue May 14 08:42:11 2024 From: simona.olmi at fi.isc.cnr.it (Simona Olmi) Date: Tue, 14 May 2024 14:42:11 +0200 Subject: Connectionists: 2024 IEEE WORKSHOP ON COMPLEXITY IN ENGINEERING - July 22-24, 2024 Florence, Italy In-Reply-To: References: <17cdc085f0d411e5864fcc86729e0166@ino.cnr.it> Message-ID: Dear Connectionist group, The abstract submission deadline for the COMPENG2024 Conference has been extended to May 25, 2024. There will be no further extensions. For more details about the Conference and how to register visit our website at https://compeng2024.ino.cnr.it/ We look forward to receiving your abstracts. Kind regards, The Compeng organizing committee *2024 IEEE WORKSHOP ON COMPLEXITY IN ENGINEERING* *July 22-24, 2024 Florence, Italy* *Scope* The seventh Workshop on Complexity in Engineering *COMPENG 2024* provides a forum for experts and professionals working on the latest developments in complexity science and its application in an engineering perspective. Topics of interest include, but are not limited to: Big Data and data-driven systems Biophysics / dynamics in biology Bio-inspired robotics and biomedical engineering Complex systems and networks Control in sensor and actuator networks Communication and Transportation Ecosystems and climate Electronic and opto-electronic systems Laser dynamics, nonlinear optics and opto-mechanics Machine Learning Neurotechnology and neuroscience Nonlinear dynamics and stochastic processes Smart grids Time-series analysis and modelling *Financial sponsor* IEEE Italy section *Submission* Authors interested in presenting an oral contribution are invited to submit a one-page abstract in PDF format via email to compeng.2024 at ino.cnr.it by *May 25, 2024*. Submissions in a different format or exceeding one page will not be considered. Authors will be notified of the acceptance status by June 10, 2024. Authors of accepted abstracts may also prepare a full-paper version (typically 3-5 pages) of their contribution for potential inclusion in the Conference Proceedings on the IEEE Xplore Digital Library. These full-paper submissions should be sent to compeng.2024 at ino.cnr.it by July 31, 2024. Visit the Submission web page for detailed instructions on abstract and paper formatting. *Important Dates* Abstract submission Deadline: May 25, 2024 Authors Notification: June 10, 2024 Early registration: before June 15, 2024 Full-paper submission: July 31, 2024 *Technical sponsors* Dipartimento di Fisica e Astronomia (Universit? degli Studi di Firenze) Dipartimento di Matematica e Informatica (Universit? degli Studi di Perugia) IEEE - CAS society INFN - sezione di Firenze INO - CNR Italian Society for Chaos and Complexity *Contact Us* For inquiries, please contact us at compeng.2024 at ino.cnr.it ============================================================ Simona Olmi Ph.D. Consiglio Nazionale delle Ricerche Istituto dei Sistemi Complessi Via Madonna del Piano, 10 - 50019 Sesto Fiorentino (Italy) Tel. +39 055 5226626 <%2B39%20055%205226620> Fax: +39 055 5226683 Skype: simona.olmi URL: https://www.isc.cnr.it/staff-members/simona-olmi/ Firenze-Neuro: https://www.firenze-neuro.org/ ============================================================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Tue May 14 06:42:03 2024 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Tue, 14 May 2024 10:42:03 +0000 Subject: Connectionists: PhD Opportunities in AI for Digital Media Inclusion (Deadline 30 May 2024) Message-ID: ** PhD Opportunities in Centre for Doctoral Training in AI for Digital Media Inclusion ** Surrey Institute for People-Centred AI at the University of Surrey, UK, and ** StoryFutures at Royal Holloway University of London, UK ** Apply by 30 May 2024, for PhD cohort starting October 2024 URL: https://www.surrey.ac.uk/artificial-intelligence/cdt The Centre for Doctoral Training (CDT) in AI for Digital Media Inclusion combines the world-leading expertise of the Surrey Institute for People-Centred AI at the University of Surrey, a pioneer in AI technologies for the creative industries (vision, audio, language, machine learning) and StoryFutures at Royal Holloway University of London, leader in creative production and audience experience (arts, psychology, user research, creative production). Our vision is to deliver unique cross-disciplinary training embedded in real-world challenges and creative practice, and to address the industry need for people with responsible AI, inclusive design and creative skills. The CDT challenge-led training programme will foster a responsible AI-enabled inclusive media ecosystem with industry. By partnering with 50+ organisations, our challenge-led model will be co-designed and co-delivered with the creative industry to remove significant real-world barriers to media inclusion. The overall learning objective of the CDT training programme is that all PhD researchers gain a cross-disciplinary understanding of fundamental AI science, inclusive design and creative industry practice, together with responsible AI research and innovation leadership, to lead the creation of future AI-enabled inclusive media. The CDT training program will select PhD students who will work on challenge areas including Intelligent personalisation of media experiences for digital inclusion, and Generative AI for digital inclusion. Example projects related to audio include: - Audio Generative AI from visuals as an alternative to Audio Description - Audio orchestration for neurodivergent audiences using object-based media - AUDItory Blending for Inclusive Listening Experiences (AUDIBLE) - Foundational models for audio (including speech, music, sound effect) to texts in the wild - Generative AI for natural language description of audio for the deaf and hearing impaired - Generative AI with Creative Control, Explainability, and Accessibility - Personalised audio editing with generative models? ?- Personalised subtitling for readers of different abilities ?- Translation of auditory distance across alternate advanced audio formats If you have any questions about the CDT, please contact Adrian Hilton (mailto:a.hilton at surrey.ac.uk) or Polly Dalton (mailto:Polly.Dalton at rhul.ac.uk). For more information and to apply, visit: https://www.surrey.ac.uk/artificial-intelligence/cdt Application deadline: 30 May 2024 -- Prof Mark D Plumbley EPSRC Fellow in AI for Sound Professor of Signal Processing Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From adinr at ifi.uio.no Tue May 14 03:42:27 2024 From: adinr at ifi.uio.no (=?Windows-1252?Q?Ad=EDn_Ram=EDrez_Rivera?=) Date: Tue, 14 May 2024 07:42:27 +0000 Subject: Connectionists: =?windows-1252?q?=5BCall_for_Papers=5D_8th_Northe?= =?windows-1252?q?rn_Lights_Deep_Learning_Conference=2C_07-09_January_2025?= =?windows-1252?q?=2C_Troms=F8_=28=93North_Pole=94=29=2C_Norway?= Message-ID: The 2025 edition of the Northern Lights Deep Learning Conference (NLDL) will take place on 7-9 January 2025 in Troms?, Norway, organized by Visual Intelligence and the UiT Machine Learning Group. We look forward to gathering the deep learning community again in the cool arctic air for a physical conference. In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts on Jan 6, ends on Jan 10, and incorporates events during the main conference days. The winter school includes scientific topics, an industry event, women in AI event, and transferable skills. More information is coming soon at http://www.nldl.org/winter-school. We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following: * General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.) * General Deep Learning (architectures, generative models, deep reinforcement learning, etc.) * Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.) * Probabilistic methods (Bayesian methods, variational inference, graphical models, etc.) * Social and economic aspects of Machine Learning (accountability, causality, fairness, privacy, robustness, interpretability, etc.) * Applications (vision, language, signals, speech and audio, etc.) * Deep Learning for Sciences (biology and medicine, environment and ecology, physics, etc.) As always, we are happy to have top international speakers. This year, we have confirmed * Michael Felsberg, Link?ping University, Sweden * Bram van Ginneken, Radboud University Medical Center, Netherlands and more to come. We are accepting two alternatives for contributions: (1) Full paper submissions (5 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels, and will appear in PMLR. (2) Extended abstracts (2 pages) will be presented as posters (but not published in the conference proceedings). The review process is double-blind. Deadline for full papers submissions: September 2nd, 2024. Deadline for extended abstracts: Mid October 2024 (exact date to be announced). Instructions about the template and submission can be found on http://www.nldl.org. A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events. We hope to see many participants for a nice scientific gathering on the ?north pole?, including social events, and hopefully some northern lights. Kind regards, The NLDL 2025 organizing committee http://visual-intelligence.no http://machine-learning.uit.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From samarasinghe at ini.rub.de Tue May 14 04:51:43 2024 From: samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Tue, 14 May 2024 10:51:43 +0200 Subject: Connectionists: Open PhD position - Navigation using spiking neural networks - Cheng Lab Message-ID: *DEADLINE approaching soon: 31.05.2024 * *Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented graduate student to join our team, someone who will expand our computational modeling framework Cobel-Spike (https://doi.org/10.1007/s00429-023-02637-8) and use it to study how spiking neural networks can learn to navigate. This position is 65% at TV-L E13, starts as soon as possible, and is funded for 3 years. *Your Profile:* Candidates must * ??? have a masters degree in neuroscience, physics, computer science, mathematics, psychology, or a related field * ??? be able to work independently * ??? have experience in mathematical modeling * ??? have excellent programming skills, * ??? have excellent communication skills in English, and * ??? work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. We strongly encourage applications from qualified women and persons with disabilities. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de. In addition, at least two academic references must be sent independently to the above email address. The official posting can be found at https://www.ini.rub.de/the_institute/jobs/phd_position_-_comp_neuro_-_navigation_using_spiking_neural_networks/ *Application deadline:* 31.05.2024 *Start date:* 01.09.2024 Please feel free to get in touch with me if you have any questions. -- Best, Vinita NEW: Brains in Space : An interdisciplinary research colloquium on spatial navigation. Tuesdays at 4pm CEST. Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruce.graham at stir.ac.uk Tue May 14 05:16:37 2024 From: bruce.graham at stir.ac.uk (Bruce Graham) Date: Tue, 14 May 2024 09:16:37 +0000 Subject: Connectionists: Fw: postdoctoral research fellow position In-Reply-To: <172ACC74-A1CD-46C3-BDAE-1B5532013C83@stir.ac.uk> References: <172ACC74-A1CD-46C3-BDAE-1B5532013C83@stir.ac.uk> Message-ID: I am forwarding the following job announcement. Prof. Bruce Graham, Emeritus Professor of Computing Science Division of Computing Science and Mathematics, Faculty of Natural Sciences University of Stirling, Stirling FK9 4LA Coauthor of "Principles of Computational Modelling in Neuroscience", CUP, 2nd Edition 2023. --------------------- Postdoctoral Research Fellow Department: Psychology, University of Stirling, Scotland, United Kingdom Closing Date: 10 June 2024 Duration: fixed term 27 months Salary: Grade7 (?37,099 - ?44,263 p.a.) A cross-disciplinary team of researchers from the Universities of Stirling, York, Cardiff, Manchester, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks. The project aims to develop novel computing solutions, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy. We are recruiting a team of outstanding researchers from Visual Neuroscience, Psychology, Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project?s ambitious objectives. As part of this project, Psychology, Faculty of Natural Sciences, University of Stirling is offering a fixed term (27 months) full-time Postdoctoral Research Fellow position to work with Dr Elena Gheorghiu and the cross-disciplinary team of researchers. Candidates should have a PhD, or equivalent research experience, in Computer Vision/ Computer Science, Visual Neuroscience, Psychology, Physics, Electronic Engineering, Mathematics, or similar technical area and possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with established software/ research programmes. For further information and to apply, please see: https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=4051&jobTitle=Postdoctoral%20Research%20Fellow Informal enquiries can be made to Dr Elena Gheorghiu, elena.gheorghiu at stir.ac.uk --------------------------------------------------------- Dr Elena Gheorghiu University of Stirling, Faculty of Natural Sciences Department of Psychology, Cottrell building Stirling, FK9 4LA, Scotland, UK Tel: +44 (0) 1786 467649 email: elena.gheorghiu at stir.ac.uk https://www.stir.ac.uk/people/257378 ________________________________ Scotland?s University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabien.wagner at u-bordeaux.fr Tue May 14 08:01:22 2024 From: fabien.wagner at u-bordeaux.fr (Fabien Wagner) Date: Tue, 14 May 2024 14:01:22 +0200 (CEST) Subject: Connectionists: Research assistant / engineer position in neuromorphic engineering at the University of Bordeaux Message-ID: <1497211497.6905870.1715688082233.JavaMail.zimbra@u-bordeaux.fr> We are looking for a motivated research assistant / engineer (?ing?nieur d??tude? ? IE) with expertise in neuromorphic engineering to join the team of Drs. Timoth?e Levi, Fabien Wagner, and Am?lie Aussel at the University of Bordeaux (Institut du Mat?riau au Syst?me ? IMS ? and Institut des Maladies Neurod?g?n?ratives ? IMN). The goal of the project is to expand our current efforts towards performing large-scale simulations of conductance-based neuronal models on FPGAs, with an application to neurostimulation of the hippocampal formation. The initial contract would be for a period of 1 year with an expected starting date on Oct 1st, 2024. If interested, please check the information below and contact us at the indicated email address. Context: At the Institute of Neurodegenerative Diseases (IMN), the teams of Drs. Wagner and Aussel have developed a computational approach to study the effect of neurostimulation on the hippocampus, a brain structure particularly implicated in memory and Alzheimer's disease. Specifically, they developed a computer model to represent hippocampal neurons in a biologically realistic way, and to simulate the effect of electrical stimulation on their activity (https://elifesciences.org/articles/87356). However, this approach is currently limited because it requires very large computing capacities, and the most widespread software does not allow simulations to be carried out in a reasonable time. At the Material-to-System Integration (IMS) Laboratory, Dr. Levi has recently developed a real-time neuromorphic system for the simulation of biomimetic neurons. The combined expertise of the IMN and IMS are complementary and provide an innovative solution for the simulation and understanding of neuronal mechanisms. In this context, the RT-HippoNeuroStim project aims at translating the hippocampal model previously developed at the IMN onto the new neuromorphic computing architecture developed at the IMS. This architecture is based on Field Programmable Gate Arrays (FPGA) and shows much faster computation speed than current software emulation. We will leverage this platform to simulate the activity of the hippocampus in real time, which will greatly accelerate research on hippocampal neurostimulation. Project description: real-time FPGA implementation of a conductance-based hippocampal model >From the previous neural network system implemented on a SoC FPGA, referred to as Bioemus (https://www.biorxiv.org/content/10.1101/2023.09.05.556241v1.abstract), the candidate will adjust the parameters and adapt the BioEmus system to replicate the simulations performed by the Brian2 software. Validation will follow a step-by-step methodology: one network at a time. Subsequently, the development of new processes for synapses and FPGA networks will be undertaken. Candidate profile: Enthusiastic and curious candidates with a certain autonomy and willing to develop skills at the interface between embedded system and neuroscience are encouraged to apply. The candidate will have knowledge in programming (Python, C/C++), embedded system (C/C++, basic Linux), FPGA design (VHDL, HLS), and computational neuroscience. Hence, multidisciplinary work capability is highly recommended. Applications: Applications should include a motivation letter, full curriculum vitae, a copy of the relevant diplomas showing marks. If possible, contact details of 2 references. Contact: Timothee.levi at u-bordeaux.fr, fabien.wagner at u-bordeaux.fr, amelie.aussel at inria.fr From andrea.brovelli at univ-amu.fr Tue May 14 11:05:14 2024 From: andrea.brovelli at univ-amu.fr (Andrea Brovelli) Date: Tue, 14 May 2024 17:05:14 +0200 Subject: Connectionists: Postdoctoral position in "Higher-order interactions in brain networks" (Marseille, France) Message-ID: Postdoctoral position (1+1 years duration) Centre de Physique Th?orique, Marseille and Institut des Neurosciences de la Timone, Marseille Project Title: Higher-order interactions in human brain networks supporting causal learning Supervisors:Alain Barrat (CPT, Marseille) andAndrea Brovelli (INT, Marseille) *Project abstract*: Learning is a brain network phenomenon thought to arise from synergistic interactions between multiple brain regions. Although central, this hypothesis has never been fully tested, yet. Indeed, progress has been limited by the lack of approaches for studying brain interactions beyond pairwise relations, the so-called higher order interactions (HOIs). Our objective is to build a theoretical and data analysis framework to demonstrate the role of HOIs in human brain networks supporting causal learning. The Hinteract project will be composed of three scientific work packages (WPs). WP1 will develop a novel informational theoretical approach to infer task-related (functional) HOIs from neural time series and will characterise HOIs supporting causal learning using a multiscale dataset including magnetoencephalography (MEG) and intracranial stereo-electroencephalography (SEEG) data. WP2 will develop a network science formalism to analyse the structure and dynamics of functional HOIs patterns, and it will characterise the hierarchical organisation of learning-related HOIs inferred in WP1. WP3 will compile and share the neuroinformatics tools developed in the project and it will make it interoperable with the EBRAINS infrastructure. Overall, our project will reveal whether causal learning is supported by cerebral HOIs, and produce a theoretical and computational framework for the study of HOIs in brain networks that will be shared with the scientific community. Workpackages: WP1: Inference of learning-related high-order interactions in the brain WP2: Analysis of learning-related high-order interactions in the brain using network science approaches WP3: Integrated neuroinformatics tools for HOI analysis and sharing on EBRAINS infrastructure The _hired postdoctoral researcher will mainly work on WP2_, i.e., on the development of new formalisms and methods to apply to higher order interaction patterns identified in the data analyzed in WP1. We are looking for a candidate with a strong background in statistical physics, complex networks, computational neuroscience and programming, and a strong interest in interdisciplinary work. Having already worked on higher order networks is a plus but not required. The hired postdoctoral researcher will be based in the CPT on the Luminy Campus (south of Marseille) but will also devote a significant part of their time at the INT in the La Timone campus. *Position starting date:*October 1st, 2024 (negotiable) *Duration of the position:*1 year, renewable *Deadline for applications: June 15th, 2024* *TO APPLY*: * please send CV and motivation letter, and * have your supervisors send directly two letters of recommendation, *within June 15th, 2024*to alain.barrat @ cpt.univ-mrs.fr*and*andrea.brovelli @ univ-amu.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue May 14 10:42:01 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 14 May 2024 16:42:01 +0200 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, May 15 at 11am (EDT), Agostina Palmigiano, Gastby Unit, London | Mechanisms underlying responses to optogenetic perturbations 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 Agostina Palmigiano Gatsby Unit, London on the topic of "Mechanisms underlying responses to optogenetic perturbations*"* The lecture will be held on zoom on *May 15, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Optogenetic stimulation is a powerful tool to probe neural circuits. Yet, its effect on neural dynamics can be counterintuitive. Here, we analyzed and theoretically modeled neuronal responses to visual and optogenetic inputs in mouse and monkey V1. We found that in both species, optogenetic activation of excitatory neurons had weak or no effects on the distribution of firing rates across the population, but strongly modulated single-cell activity, a phenomenon which we call neuronal reshuffling. Through theoretical analysis and numerical investigations, we show that neuronal reshuffling emerges in strongly-coupled, randomly-connected networks via strong feedback inhibition, provided that the optogenetic input is sufficiently heterogeneous and weak. As perfect reshuffling was observed only when measuring cells whose orientation preference matched the orientation of the presented stimulus (in the monkey data), we extended our analysis to networks with a connection probability and inputs that depend on the cell's feature preference. We show that this model can be theoretically described as interactions between the tuned activity, encoding sensory features, and the untuned baseline activity. Finally, we show that these models can produce rate reshuffling via strong, effective inhibition of the tuned response by the untuned baseline and work out an intuition for this phenomenon. *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.* ? ? ? ? ? ? -------------- 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 gros at itp.uni-frankfurt.de Tue May 14 10:35:13 2024 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Tue, 14 May 2024 16:35:13 +0200 Subject: Connectionists: Complexity Textbook with ML Chapter Message-ID: <331-66437680-8d-67ebc700@147391156> Everybody! The just-published 2024 (fifth) Edition of the Sprinter Textbook Complex and Adaptive Dynamical Systems A Comprehensive Introduction contains now a chapter on "Complexity of Machine Learning" Just to let you know. More information in the table of contents https://link.springer.com/content/pdf/bfm:978-3-031-55076-8/1 Claudius -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### From C.ODonnell2 at ulster.ac.uk Tue May 14 12:01:42 2024 From: C.ODonnell2 at ulster.ac.uk (O'Donnell, Cian) Date: Tue, 14 May 2024 16:01:42 +0000 Subject: Connectionists: Summer school in Computational Neuroscience, Neurotechnology, and Neuro-inspired AI Message-ID: We invite applications for our 4th annual Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) in the Derry/Londonderry campus of Ulster University, Northern Ireland. The School runs from August 26th to 30th 2024 in hybrid mode with both in-person and online attendees. There have been rapid advancements and investments in research and development in brain sciences, neurotechnology, neural data modelling and neuro-inspired artificial intelligence (AI). The Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN3) Summer School aims to train the next generation of researchers on these state-of-the-art developments. This short course will touch on the areas of computational neuroscience, neural data science, neurotechnology and neuro-inspired AI. Current lecture list (to be finalised): * Introductory neuroscience * Mathematics for neuroscience * Computational modelling of plasticity and learning in brains * Computational modelling of neuronal and glial interactions * Modelling the dynamics of decision-making * Neural Signal Processing * Brain Hyperscanning * Neurotechnology and its application for disorders of consciousness * BCI-controlled exoskeleton for neuro-rehabilitation * Spiking Neural Networks and their applications * Introduction to Continual Learning * Neuro-inspired Large Language Models * Neuromorphic Computing and Applications * Research ethics in Neuroscience, Neurotechnology and AI There will also be daily computer lab sessions and group projects. How is this course different to other schools? Some key benefits: * Crash-course on a broad set of topics. * Compressed 5-day duration. * Targeted at people new to or curious about these fields, who want to learn more. Little background knowledge assumed. * Registration costs kept low and subsidised housing, to encourage a diverse attendee pool. The 2023 School hosted 143 participants from 34 countries, with 41 attending in-person. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Some attendee feedback: * ?? mind-opening experience ?to listen to the great work of top-notch researchers? * ??friendly environment which I felt even in online experience? * ??lectures were not only interesting on their own but were ordered in such a way that they built on top of each other ?and I felt I had built a good foundation on various topics in neuroscience that I can revisit later? For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-environment/computing-engineering-intelligent-systems/isrc-cn3-summer-school Deadline for In-Person Application: 15 June 2024 Deadline for Online Application: 10 August 2024 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 akirapunk at gmail.com Tue May 14 20:10:37 2024 From: akirapunk at gmail.com (Nicola Catenacci) Date: Wed, 15 May 2024 01:10:37 +0100 Subject: Connectionists: [CFP] Special Issue on Information Storage, Compression and Prediction in Deep Neural Networks Message-ID: [Apologies for multiple posts; please distribute to interested people!] Dear colleagues, We invite you to submit to the special issue on "Mathematical Understanding of Information Storage, Compression and Prediction in Neural Networks" (more details can be found here: https://www.frontiersin.org/research-topics/59300). *- The journal(s) -* The special issue is hosted by (alternatively): - Frontiers in Computational Neuroscience (Impact Factor - 3.2, CiteScore - 4.8), or - Frontiers in Neuroinformatics (Impact Factor - 3.5, CiteScore - 5.3). *- Research Topic -* Regardless of their success, today, deep neural networks (NNs) are still used as a "black box", meaning the inner workings or detailed explanations of how they arrive at their output are not revealed. Currently, we still do not have the mathematical tools to fully understand the formal properties of these networks and their limitations. Improving our theoretical understanding of NNs is particularly important today, as these tools are being deployed in an increasing number of safety-critical scenarios, necessitating constant scrutiny of their behavior. The goal of the special issue is to investigate the mathematical frameworks that enable a better understanding of how information is learned and represented within a neural network, including the study of existing approaches that go in this direction. *- Call for Papers -* We invite researchers to present manuscripts focusing on the mathematical analysis of deep neural networks, including their information-theoretic interpretation and their statistical limits. The areas relevant to this special issue include, but are not limited to: - Theory of Deep Feed-forward and Recurrent NNs - Information-theoretic principles and interpretation of NNs - The Information Bottleneck and deep learning - Compression in Deep Neural Networks - The analysis of pattern and memory storage in NNs - Deep NNs for brain-inspired machine learning and biological modeling - Statistical Physics of deep neural networks - Dynamical Systems Modeling of NNs - Neural Network Dynamics and Stability - Generalization and Regularization in NNs - Learning Theory and Neural Networks - Mathematical Models of Learning and Plasticity - Neural Network Interpretability and Explainability - Energy-Based Models in Deep Learning - Neural Network Compression, Pruning, Sparsity and Efficient Computing - Mathematics of Self-Supervised Deep Learning - Optimization Landscapes and Loss Surface Analysis - Neural Network Generalization and Overparameterization - Mathematical Theories of Transformers and Attention Mechanisms - Theoretical Foundations of Transfer Learning and Domain Adaptation Manuscript Submission Deadline: 27 October 2024. *- Topic Editors -* Giorgio Gosti, Italian National Research Council (CNR), Italy ( giorgio.gosti at cnr.it) Nicola Catenacci Volpi, University of Hertfordshire, United Kingdom ( n.catenacci-volpi at herts.ac.uk) Nilesh Goel, Birla Institute of Technology and Science, United Arab Emirates *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Tue May 14 23:30:57 2024 From: weng at msu.edu (Weng, Juyang) Date: Wed, 15 May 2024 03:30:57 +0000 Subject: Connectionists: IEEE CDS NEWSLETTERS Vol. 18, No. 2, ISSN 1550-1914, May 2024 Message-ID: IEEE CDS NEWSLETTERS https://www.cse.msu.edu/amdtc/amdnl/CDSNL-V18-N2.pdf Volume 18, Number 2, ISSN 1550-1914, May 2024 Development of Natural and Artificial Intelligence Contents 1 [Post Selection] Dialogue: Lack of Generalizability in Post-Selected Models 2 [Post-Selection] Dialogue: Challenges to Post-Selection 3 [Post-Selection] Dialogue: Misconduct in Post-Selection 4 [Post-Selection] Dialogue: My Report for Criminal Investigation of Alphabet?s Pyramid Scheme 5 [Post-Selection] Dialogue Summary: Negative Effects of Post-Selection 6 [AI Crisis] Dialogue Initiation: Is AI in a Credibility Crisis? 7 A Proverbial Story: Galileo?s Free Fall Experiment 8 IEEE TCDS Table of Contents -------------- next part -------------- An HTML attachment was scrubbed... URL: From htlin at csie.ntu.edu.tw Tue May 14 17:27:51 2024 From: htlin at csie.ntu.edu.tw (Hsuan-Tien Lin) Date: Wed, 15 May 2024 05:27:51 +0800 Subject: Connectionists: ACML 2024 Call for Papers Message-ID: The 16th Asian Conference on Machine Learning (ACML 2024) will take place between December 5 - 7, 2024 in Hanoi, Vietnam. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements. The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning. Similar to previous years, ACML 2024 has two publication tracks. Each paper may be submitted to either: * Conference Track: (16-page limit with references) for which the proceedings will be published as a volume of Proceedings of Machine Learning Research Workshop and Conference Proceedings (PMLR). Submission Deadline: 26 June 2024 * Journal Track: Papers that are accepted to the journal track must be presented at the conference in order to be published in a special issue in the Machine Learning journal. Submission Deadline: May 29, 2024 Details can be found in https://www.acml-conf.org/2024/calls/papers/ . We encourage submissions from all parts of the world, not only confined to the Asia-Pacific region. Vu and Hsuan-Tien, ACML 2024 Program Chairs acml_2024_conference_track at googlegroups.com Kee-Eung and Shou-De, ACML 2024 Journal Chairs acml_2024_journal_track at googlegroups.com . From mingbo.cai at gmail.com Tue May 14 20:38:13 2024 From: mingbo.cai at gmail.com (Mingbo Cai) Date: Tue, 14 May 2024 20:38:13 -0400 Subject: Connectionists: Postdoc and PhD position at University of Miami - spontaneous thoughts, AI, computational psychiatry Message-ID: The lab led by Mingbo Cai (https://cailab-miami.org/) at the Department of Psychology, University of Miami, seeks a talented cognitive neuroscientist to join as a postdoctoral associate in the beautiful Miami! The primary focus of this position is to work on an exciting collaborative project of decoding spontaneous thoughts. However, candidates with strong background and interest in other major directions of the lab (learning and decision making, computational psychiatry, brain-inspired AI) are also welcome to apply. For the project on spontaneous thoughts, the candidate will work closely with Dr. Mingbo Cai, the director of the lab, and have opportunity to collaborate with Nicolas Schuck (https://schucklab.gitlab.io/) at University of Hamburg and Quentin Huys ( https://www.mps-ucl-centre.mpg.de/person/104585) at University College London, with the added possibility of establishing new collaboration with other faculty inside the department ( https://www.psy.miami.edu/people/faculty/faculty-by-division/index.html). The intended project focuses on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks, their interaction with memory and emotion, and rumination in mental disorders. You will have the opportunity to analyze a rich fMRI dataset of healthy and clinical participants during spontaneous thoughts, and conduct new experiments. Expertise and track record in at least one of the following domains are highly desirable: deep learning models on natural language processing or computer vision, advanced analysis of fMRI using encoding or decoding models, computational modeling of spontaneous thoughts or psychiatric disorders or human behavior, design of experiments using naturalistic stimuli. Deadline for applications: August 31, 2024. Strong applications will be evaluated immediately upon receiving. The position will remain open until filled. Interested candidate can submit the following documents at this link: https://careers.miami.edu/us/en/job/R100076995/Post-Doctoral-Associate-Psychology - a cover letter including contact information for 2-3 reference letters - CV - research statement - writing sample representing your works. Multiple manuscripts may be concatenated into one pdf. Informal inquiry can be sent to mingbo [dot] cai [at] miami [dot] edu, with a title of "[postdoc] + *your name*" The lab will also accept a PhD student in Fall 2025. Email inquiry is welcome with a title of "[grad application] + your name" Best wishes, Mingbo Cai Assistant Professor Department of Psychology University of Miami -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Tue May 14 21:40:20 2024 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 15 May 2024 07:10:20 +0530 Subject: Connectionists: ISCMI 2024 (Melbourne, Australia) - Submissions one and half months away Message-ID: Dear esteemed colleagues, Summer greetings from India. Hope you are doing well. This is to gently remind you that the submission deadline for 2024 11th ISCMI is one and half months away http://iscmi.us/ I solicit your help in alerting your peers, students and others accordingly and motivate them to start preparing for submitting manuscripts. Thanks indeed and will look forward to receiving manuscripts from you/your peers, if not already, in the coming days. With kind regards, Suash Deb General Chair, ISCMI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.magliacane at gmail.com Wed May 15 03:16:13 2024 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Wed, 15 May 2024 09:16:13 +0200 Subject: Connectionists: [CFP] Call for Abstracts: UAI workshop on Causal Inference - deadline May 31st Message-ID: We are excited to invite submissions of extended abstracts for the upcoming workshop on Causal Inference at the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), which will be held on *July 19th, 2024 in Barcelona, Spain.* Our workshop aims to bring together researchers and practitioners from all areas of causal inference, including theoretical developments, empirical studies, and innovative applications in AI and machine learning. We invite submissions of *extended abstracts (up to 2 pages)* on all topics related to causal inference and causality. More information on our website . *Important Dates:* - *Abstract Submission Deadline:* May 31, 2024, 23:59 UTC - *Notification of Acceptance:* June 18, 2024, 23:59 UTC - *Workshop date: *July 19th, 2024 *Submission Guidelines:* - *Format:* Extended abstracts of up to two pages (excluding references), formatted according to UAI guidelines and submitted in PDF format. Supplementary materials, such as detailed write-ups and code, are optional but should not exceed two pages. - *Submission Link:* Submit Here This workshop will not have proceedings, which allows for the submission of work that may be published elsewhere post-workshop, including at UAI. We look forward to your contributions, which will be evaluated based on originality, significance, and clarity. Selected submissions will be included in the workshop's talks and poster session. For any inquiries, please contact us at causaluai2024 at gmail.com Warm regards, Razieh Nabi, Sara Magliacane, Daniel Malinsky, Caleb Miles, Karthika Mohan -------------- next part -------------- An HTML attachment was scrubbed... URL: From Chloe.BOURGEOIS at univ-cotedazur.fr Wed May 15 05:35:56 2024 From: Chloe.BOURGEOIS at univ-cotedazur.fr (Chloe Bourgeois) Date: Wed, 15 May 2024 09:35:56 +0000 Subject: Connectionists: M.Sc. Modeling for Neuronal and Cognitive Systems - applications are open Message-ID: [APPLICATIONS FOR 2024-25 ARE OPEN UNTIL JUNE 15 !] The M.Sc. Mod4NeuCog is a two-year interdisciplinary master's program at Universit? C?te d'Azur (Nice, France), which aims to train active researchers at the crossroads of computer science, applied mathematics and cognitive neuroscience. We encourage students with a background in computer science, mathematics, cognitive science, psychology or neuroscience to apply to our program, where they will learn to model cognitive functions using mathematical and computational tools. After the program, students are specialized in computational neuro/cognitive science and able to work in fully interdisciplinary settings, with a strong foundation in mathematics. More information available at our website : https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems -- Chlo? BOURGEOIS-ANTONINI Responsable administrative Institut NeuroMod Universit? C?te d'Azur 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99 chloe.bourgeois at univ-cotedazur.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Wed May 15 08:18:28 2024 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Wed, 15 May 2024 14:18:28 +0200 Subject: Connectionists: DEADLINE EXTENSION: CFP Special Session: CI in Personalized Medicine. CIBB 24 Message-ID: Apologies for cross-posting *DEADLINE EXTENDED to May 22nd* Special Session on *Computational Intelligence in Personalized Medicine* 19th Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (*CIBB 2024*) ================= CALL FOR PAPERS ================= September 4-6, 2024, Benevento, Italy Submission: https://www.bioinformatics-sannio.org/cibb2024/index.php#submission Aims & Scope ------------ Increased life expectancies and the expectation of universal medical care provision in modern societies clash with the increasing costs of meeting those challenges. The promises of Personalized Medicine (PM) may become wishful thinking unless they deliver on cost efficiency. The most promising avenue to deliver on such efficiency is the use of data science approaches. The use of data-centred Computational Intelligence (CI) methods is becoming an important tool in healthcare and medical applications for providing enhanced diagnosis and prognosis tailored to the patient's characteristics and needs. Data-intensive assays, widespread sensorization and big data technologies enable the capturing and sharing of increasingly larger amounts of biomedical data, which need to be exploited through computational analysis in order to discover meaningful patterns in data. CI methods, including machine learning in general (and deep learning in particular) as well as other soft computing approaches are at the forefront of efficient complex medical and omics data analysis. In this special session, we call for new research on applications that, using CI approaches, can provide efficient solutions for the development of PM applications based on biomedical and bioinformatics data. Topics of interest include, but are not limited to: ???????? Applications of personalized medicine based on CI methods ???????? Biomedical pattern recognition using machine learning for PM ???????? Data-intensive biomedical assays ???????? Biomedical data sharing and harmonization ???????? Regulation of CI-based medical devices Interpretable, explainable and transparent CI methods for PM Important Dates -------------------------- *Paper submission: May 22, 2024* Paper decision notification: June 20, 2024 Session Chairs ------------------------ Dr. Caroline K?nig, Prof. Dr. Alfredo Vellido, UPC BarcelonaTech and IDEAI-UPC Research Center, Barcelona, Spain. -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Wed May 15 08:57:53 2024 From: efipatm at gmail.com (Efi) Date: Wed, 15 May 2024 05:57:53 -0700 Subject: Connectionists: Free AIDA short e-course "Graph Neural Networks", May 29-31, 2024 Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming short e-course by AIDA Lecturer Octavian Radu ?*Graph Neural Networks*?. This course will be held on May 29-31, 2024, conducted online via Google Meet. *Key concepts*: We will learn how to build a GNN from scratch, walking through each part of the model and explain it. In the second part of the course, we will bring convolution to graph models, and we will explore Graph Convolutional Networks (GCN), Graph Attention Networks (GAT), Graph Sample and Aggregate (GraphSAGE) and Graph Isomorphism Network (GIN). The course will also cover the challenges of using graphs in machine learning, how to overcome them and some empirical GNN design lessons. *Details* Host Institution: Doctoral School of Electronics, Telecommunications & Information Technology | National University of Science and Technology Politehnica Bucharest Level: Postgraduate Schedule: Online via Google Meet (the video call invitation (Google Meet) will be provided on May 27 by the lecturer), *May 29-31, 2024, 12:00-14:00 GMT* Join us and explore further: https://www.i-aida.org/course/graph-neural-networks/ Both AIDA and non-AIDA students are encouraged to participate in this course for *free* - *AIDA Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also fill in the Registration Form . - Students/participants *not* associated with any AIDA member can join the course by filling out the Registration Form . The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Wed May 15 09:10:34 2024 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Wed, 15 May 2024 13:10:34 +0000 Subject: Connectionists: UNDERSTANDING LLM UNDERSTANDING Message-ID: <9fbb41e7-c32d-49f9-9363-82c707c14231@rubic.rutgers.edu> Excellent Summer School on LLMs (Free!) Understanding LLM Understanding Summer School: June 3 - June 14, 2024 Speakers -- Abstracts -- Timetable -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From raghav.11393 at gmail.com Wed May 15 23:06:28 2024 From: raghav.11393 at gmail.com (Raghav Mehta) Date: Thu, 16 May 2024 08:36:28 +0530 Subject: Connectionists: [CfP] MICCAI 2024 Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) Message-ID: *Submission deadline 24th June 2024 - **https://unsuremiccai.github.io* *Overview*With the rise and influence of machine learning (ML) in medical application and the need to translate newly developed techniques into clinical practice, questions about safety and uncertainty over measurements and reported quantities have gained importance. Obtaining accurate measurements is insufficient, as one needs to establish the circumstances under which these values generalize, or give appropriate error bounds for these measures. This is becoming particularly relevant to patient safety as many research groups and companies have deployed or are aiming to deploy ML technology in clinical practice. The purpose of this workshop is to develop awareness and encourage research on uncertainty modelling to ensure safety for applications spanning both the MIC and CAI fields. In particular, this workshop invites submissions to cover different facets of this topic, including but not limited to: detection and quantification of algorithmic failures; processes of healthcare risk management (e.g. CAD systems); robustness and adaptation to domain shifts; evaluation of uncertainty estimates; defence against noise and mistakes in data (e.g. bias, label mistakes, measurement noise, inter/intra-observer variability). The workshop aims to encourage contributions in a wide range of applications and types of ML algorithms. The use or development of any relevant ML methods are welcomed, including, but not limited to, probabilistic deep learning, Bayesian nonparametric statistics, graphical models and Gaussian processes. We also aim to ensure broad coverage of applications in the context of both MIC and CAI, which are categorized into reporting problems (descriptions of image contents) such as diagnosis, measurements, segmentation, detection, and enhancement problems (addition of information) such as image synthesis, registration, reconstruction, super-resolution, harmonisation, inpainting and augmented display. *Scope* We accept submissions of original, unpublished work on *safety and uncertainty in medical imaging*, including (but not limited to) the following areas: - Uncertainty quantification in any MIC or CAI applications - Risk management of ML systems in clinical pipelines - Out-of-distribution and anomaly detection - Defending against hallucinations in enhancement tasks (e.g. super-resolution, reconstruction, modality translation) - Robustness to domain shifts - Measurement errors - Modelling noise in data (e.g. labels, measurements, inter/intra-observer variability) - Validation of uncertainty estimates - Active Learning - Confidence bounds - Posterior inference over point estimates - Bayesian deep learning - Graphical models - Gaussian processes - Calibration of uncertainty measures - Bayesian decision theory *Submission Format* Submissions must be 8-page papers *(excluding references)* following the Springer LNCS format . Author names, affiliations and acknowledgements, as well as any obvious phrasings or clues that can identify authors must be removed to ensure anonymity. Note that the 8 page limit refers only to the main content. Including references and acknowledgements the submission may exceed 8 pages. Please submit papers using the paper submission system We plan to publish the proceedings as an LNCS volume. Accepted papers will also be invited for submission of an extended version to the MELBA journal as part of a special issue. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevensequeira92 at hotmail.com Wed May 15 13:45:14 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Wed, 15 May 2024 17:45:14 +0000 Subject: Connectionists: [Last Call] Palermo International Workshop (6-7 June 2024) | Ethics and Responsibility in Artificial Intelligence and Medicine In-Reply-To: References: Message-ID: Palermo International Workshop (6-7 June 2024) Ethics and Responsibility in Artificial Intelligence and Medicine Keynote Speakers: Pii Telakivi (Helsinki University, Finland) Steven S. Gouveia (Uni. Porto, Portugal | Visiting Fellow, Uni. Palermo, Italy) Simona Tiribelli (University of Macerata, Italy) Tomi Kokkonen (Helsinki University, Finland) Silvia Dad? (University of Pisa, Italy) Lucia Migliorelli (Universit? Politecnica delle Marche Home, Italy) CALL FOR ABSTRACTS A Call for Abstracts is open from 16 April 2024 until 18 May 2024 to select speakers for the Palermo International Workshop: Ethics and Responsibility of IA and Medicine, that will happen at the University of Palermo, Italy, on 6-7 June 2024. The accepted speakers will have 30 minutes to present their presentation and 15 minutes of Q&A. Any topic related to the Ethics and Responsibility of Artificial Intelligence and Medicine are welcome (official language: English). To submit your abstract, submit the following material: (i) one word. document with a title, abstract (250 words); (ii) a cover page with name, affiliation, short bio (50 words), and email contact; to stevensequeira92 at hotmail dot com There are no fees associated to participation in the Workshop. In-person conference only (no online participation/streaming will be available). We are sorry to say that no travel/staying funding is available to support the accepted speakers. Deadline: 18 May 2024. Organization: MLAG | IF | University of Porto A.S Cent | University of Palermo Organizing Committee Steven S. Gouveia (Research Fellow MLAG/IF/Uni. Porto | Visiting Fellow Uni. Palermo) Support: MLAG/IF, CEEC Project by FCT 2022.02527.CEECIND, University of Porto A.S Cent (Centre of Advanced Studies), University of Palermo The Robophilosophy, AI Ethics & Datafication (RADAR) Group, University of Helsinki More info: https://trustaimedicine.weebly.com/palermo-international-workshop.html Other links: https://philevents.org/event/show/122898 -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.montebelli at gmail.com Wed May 15 15:35:47 2024 From: alberto.montebelli at gmail.com (Alberto Montebelli) Date: Wed, 15 May 2024 21:35:47 +0200 Subject: Connectionists: Call for Papers: workshop "ALife in organisations" (Copenhagen - July 25, 2024) Message-ID: <0E58C67F-BF67-42D0-8516-70DF62E6727E@gmail.com> Dear Connectionists community, Don?t miss out! Here comes a gentle reminder about our Call for Papers for the workshop: ALife in organisations: ALife methods in modeling and analyzing social and socio-technical ?organizations - from small and medium-sized enterprises to communities ?and whole economies. This is a joint event with ALIFE 2024 - The International Conference on Artificial Life -- Copenhagen, Denmark (July 22-26, 2024). The scope of the workshop includes, although it is not limited to, the following exemplary questions: ? Can the methods of Artificial Life (e.g. the simulation and analysis of relatively complex ecologies) contribute to better representing cognitive and affective aspects within social or socio-technical organizations, the individuals who constitute them, or the ones who use their services? ? Can synergies between modeling techniques and machine-learning-enhanced analysis promote efficient and effective allocation and use of resources by complex organizations that operate in industry, management, public administration, public health, etc.? ? Can modeling complex organizations in a globalized market identify the conditions for the emergence of dynamics such as competition, deception, reciprocity, collaboration, solidarity, diversity, etc., and evaluate their impact on the well-being of its symbiotic constitutive members and service users? ? Can systems thinking support globally sustainable operations? ? Can we test innovative organizational and economic models for a more balanced and ethically sound society? For more information, please visit the workshop webpage . Should you have any questions or need further details, please don't hesitate to contact us (email to alberto.montebelli at gmail.com ). Key dates: ? Paper submission deadline: May 26, 2024 ? Notification of acceptance: June 2, 2024 ? Workshop date: July 25, 2024 Please submit your contribution to: alifeinorg at gmail.com . We welcome your participation and look forward to hearing from you. Warm regards, The organizers: Alberto Montebelli (University of Gothenburg) Imran Khan (University of Gothenburg) Gary Linn?usson (University of Sk?vde) -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Thu May 16 08:04:08 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 16 May 2024 14:04:08 +0200 Subject: Connectionists: CfP: MACLEAN - MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2024) Message-ID: MACLEAN: MAChine Learning for EArth ObservatioN September 2024 KEY DATES Paper submission deadline: June 15, 2024 Paper acceptance notification: July 15, 2024 Paper camera-ready deadline: July 30, 2024 CONTEXT The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models. In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning. Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop?s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. TOPICS ? Supervised Classification of Multi(Hyper)-spectral data ? Supervised Classification of Satellite Image Time Series data ? Unsupervised of EO Data ? Deep Learning approaches to deal with EO Data ? Machine Learning approaches for the analysis of multi-scale EO Data ? Machine Learning approaches for the analysis of multi-source EO Data ? Semi-supervised classification approaches for EO Data ? Active learning for EO Data ? Transfer Learning and Domain Adaptation for EO Data Interpretability and explainabiilty of machine learning methods in the context of EO data analysis ? Bayesian machine learning for EO Data ? Dimensionality Reduction and Feature Selection for EO Data ? Graphicals models for EO Data ? Structured output learning for EO Data ? Multiple instance learning for EO Data ? Multi-task learning for EO Data ? Online learning for EO Data ? Embedding and Latent factor for EO Data INVITED SPEAKERS: - Matthieu Molinier, VTT, Finland Keynote Title: TBA - Giuseppina Andresini & Annalisa Appice, Universit? di Bari, Italy Keynote Title: "Monitoring forest health with AI: approaches for mapping tree dieback in satellite data" SUBMISSION We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2024 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series. WORKSHOP WEBSITE: https://sites.google.com/view/maclean24 SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/ECMLPKDDWorkshops2024/Track/7/Submission/Create PC-CHAIRS Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti at cnrs.fr Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas at inrae.fr Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco at inrae.fr Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Thu May 16 05:48:59 2024 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Thu, 16 May 2024 11:48:59 +0200 Subject: Connectionists: Open PhD Position: Machine Learning for Personalized Prediction of Psychopathology Message-ID: <3CD7245E-45B0-46DC-A2CB-44C0422F7A63@fias.uni-frankfurt.de> We solicit applications for a PhD position to develop machine learning techniques for personalized prediction of psychopathology. The position will be part of a large new center aiming to develop a novel dynamic network approach of mental health. This center, the "LOEWE center DYNAMIC", brings together scientists from a range of disciplines, including psychology, psychiatry, computer science and machine learning, with a shared goal of advancing our understanding of mental disorders and developing new treatment options. The center?s research focuses on the application of dynamic network models at various levels (neurobiological, psychological and psychopathological) to mental disorder research. It brings together researchers from the Universities of Marburg, Giessen, Frankfurt and Darmstadt, as well as the Leibniz Institute for Research and Information in Education DIPF and the Ernst Str?ngmann Institute for Neurosciences ESI. The respective university hospitals and the psychotherapy outpatient clinics of the psychological university institutes are also involved, facilitating the rapid transfer of research results into practice. The present opening will be associated with the Department of Computer Science at the University of Frankfurt. The objective of the project is to develop a personalized prediction model for changes in psychopathology (new depressive episodes), behavioral patterns and biological parameters. Many mental illnesses are characterized by changes in the network structure of the brain that affect observable patterns of activity or behavior in the future. Early detection and especially prediction of changes in behavioral parameters, psychopathology and biomarkers could enable targeted, personalized interventions to offer special (additional, more specific) therapies to patients with poor prognosis. The objective of this project is to develop methods for the early and reliable detection and prediction of changes in multimodal data. We are seeking an outstanding and highly motivated PhD student for this project. Applicants should have obtained a Master degree in Machine Learning or a related field (AI, Physics, Engineering, etc.). The ideal candidate will have excellent analytic and machine learning skills, a thorough understanding of different types of neural network architectures and at least some basic knowledge of Neuroscience and Psychiatry. Applications should consist of a single pdf file. Please include a brief statement of research interests, CV including publication list, and contact information for at least two references. Applications will be evaluated on a continuing basis starting May 26th 2024. 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 From cgf at isep.ipp.pt Thu May 16 16:29:12 2024 From: cgf at isep.ipp.pt (Carlos) Date: Thu, 16 May 2024 21:29:12 +0100 Subject: Connectionists: CFP: Information Fusion SI: Explainable AI in Industry 4.0 and 5.0 Message-ID: <7109d52f-10f6-48b3-bdbb-702463faf18e@isep.ipp.pt> ===================================== Explainable AI in Industry 4.0 and 5.0 This Special Issue aims to gather papers that focus on integrating and applying eXplainable AI (xAI) in the context of Industry 4.0 and 5.0. The themes that will be explored include the use of XAI in modern industrial settings and the collaboration between humans and machines in Industry 5.0, with a particular focus on trustworthiness, transparency, and accountability. As AI becomes more prevalent in industries, it is crucial to understand its nuances, particularly in terms of explainability. While there have been publications on the revolutionary nature of Industry 4.0 and 5.0, there has been little exploration of the critical role of XAI in these sectors. Previous special issues have covered AI and industrial revolutions, but a concerted effort to comprehend the importance of XAI in these settings is lacking. This Special Issue is intended for both academic researchers and industrial practitioners, with the potential to promote innovative collaborations. Topics of interest include (but are not limited to): -Data and information fusion in the industrial XAI context -Explainable systems fusing various sources of industrial information -Exploring XAI in the performance and efficiency of industrial systems -XAI for predictive maintenance -Forecasting of product and process quality -Explainable anomaly detection -Root Cause Analysis, Causal Reasoning -Automatic process optimization -Industrial process monitoring and modelling -Visual analytics and interactive machine learning -Remaining Useful Life -Decision-making assistance and resource optimization -Planning under uncertainty -Digital Twins for Predictive Maintenance -Analysis of usage patterns -AI transparency and accountability in smart factories -Ethical considerations in industrial deployment of AI -Industrial use cases for XAI (e.g., manufacturing, energy, transport) -Challenges and future directions for XAI in the industry Guest editors: Rita P. Ribeiro, PhD University Porto and INESC TEC, Porto, Portugal Jo?o Gama, PhD University Porto and INESC TEC, Porto, Portugal Slawomir Nowaczyk, PhD Halmstad University, Halmstad, Sweden Sepideh Pashami, PhD Halmstad University, Halmstad, Sweden Manuscript submission information: The journal's submission platform (Editorial Manager?) will be available for receiving submissions to this Special Issue from January 29th, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of ?VSI: XAI in Industry 4.0 and 5.0? when submitting your manuscript online (https://www.editorialmanager.com/inffus/default2.aspx). Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Information Fusion | Journal | ScienceDirect.com by Elsevier (https://www.editorialmanager.com/inffus/default2.aspx). Timeline: Submission Open Date *29/01/2024 Final Manuscript Submission Deadline *29/07/2024 Editorial Acceptance Deadline *29/11/2024 Keywords: Predictive Maintenance; Industry 4.0; Explainable AI; Machine Learning Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From a0091624 at gmail.com Thu May 16 17:15:54 2024 From: a0091624 at gmail.com (Mengmi Zhang) Date: Thu, 16 May 2024 17:15:54 -0400 Subject: Connectionists: invitations for paper submissions to ECCV workshop on human-inspired computer vision Message-ID: Dear Friends, We are thrilled to announce our call for papers for the *Workshop on Human-inspired computer vision*, which will take place on September 29th within the *European Conference of Computer Vision (ECCV)*, to be held from Sunday September 29th through Friday Oct 4th, 2024 at MiCo, Milan, Italy. The goal of the HCV workshop is to link and disseminate parallel findings in the fields of neuroscience, psychology, cognitive science and computer vision, to inform the development of human-inspired computational models, capable of solving visual tasks in a human-like fashion. More info can be found at: https://sites.google.com/view/hcvworkshop2024 *Keynote Speakers:* Dr Andrei Barbu (MIT, USA) Dr Mengmi Zhang (Nanyang Technological University, A*Star, Singapore) Professor Rita Cucchiara (University of Modena and Reggio Emilia, Italy) Professor Giulio Sandini (Italian Institute of Technology, Italy) We invite submissions of workshop papers and extended abstracts via OpenReview: https://openreview.net/group?id=thecvf.com/ECCV/2024/Workshop/HCV These will be accepted for poster or oral presentation. The submission guidelines are available at the workshop website. *Submission deadline is July 19th.* Each workshop paper must have at least one registered author (workshops/tutorials passport and student fee are available). Additional registration info can be found at: https://eccv.ecva.net/Conferences/2024/Registration We hope that you come and join us! The Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Fri May 17 08:53:32 2024 From: ksharma.raj at gmail.com (Raj Sharma) Date: Fri, 17 May 2024 18:23:32 +0530 Subject: Connectionists: Call for Papers | AIMLSystems'24 | Louisiana State University Message-ID: ----------------------------------------------------------------------------------------------- AI-ML Systems 2024 4rd International Conference on AI-ML Systems October 8-11, 2024 | Louisiana State University | Baton Rouge, USA https://www.aimlsystems.org/2024/ ----------------------------------------------------------------------------------------------- AI-ML Systems 2024 is the 4th edition of the AI-ML Systems conference targeting research at the intersection of Artificial Intelligence (AI) and Machine Learning (ML) techniques and systems engineering. Through this conference we plan to bring out and highlight the natural connections between these two fields and their application to socio-economic systems. Specifically we explore how immense strides in AI-ML techniques are made possible through computational systems research (e.g., improvements in CPU/GPU architectures, data-intensive infrastructure, and communications), how the use of AI-ML can help in the continuous and workload-driven design space exploration of computational systems (e.g., self-tuning databases, learning compiler optimisers, and learnable network systems), and the use of AI-ML in the design of socio-economic systems such as public healthcare, and security. The goal is to bring together these diverse communities and elicit connections between them. CALL FOR PAPERS Submit your unpublished research on the intersection of AI/ML techniques and systems engineering specifically exploring how AI- ML techniques benefit from computational systems research and how they can aid in the design of computational and socio-economic systems. RESEARCH TRACK The research track invites papers describing innovative and original research contributions under any of the four main topics listed below 1. Systems for AI-ML 2. AI-ML for Systems 3. AI-ML for Socio-Economic System Design 4. Domain-Specific AI-ML Papers must not exceed 8 pages, excluding appendix, acknowledgement and bibliography. Authors are required to make a primary topic selection, with optional secondary topics for each paper. Number of accepted papers under each topic is not capped. For further details on submission submission guidelines, visit: https://www.aimlsystems.org/2024/callresearch/ INDUSTRY TRACK The industry track solicits submission of papers that - Describe designs and implementation of solutions and systems for practical tasks at the intersection of AI-ML and computer systems. - Solve or advance the understanding of issues related to deploying learning systems in the real world. - Establish new connections among these diverse fields, and identify tools, best practices and design principles. - Demonstrate significant, verifiable business and/or real-world impact as a result of such deployments. Regular industry paper must not exceed 6 pages including bibliography. We also welcome short papers, not exceeding 4 pages including bibliography, which will be presented as posters. All accepted papers (regular and short) will appear in the proceedings. For further details on submission guidelines, visit: https://www.aimlsystems.org/2024/callindustry/ DEMO TRACK The demo track at AIMLSystems provides an excellent opportunity for researchers, practitioners, and industry professionals to showcase their latest innovations, prototypes, tools and systems in the areas of interest to the conference. We invite the authors to submit their original work(s) in the following two categories: 1. Research Demos: The authors are requested to submit an extended abstract no longer than three pages including all figures and references, describing the demo and any special requirements. The formatting must adhere to the Main Conference Guidelines. Submissions not adhering to the conference template will be rejected without review. Submissions must be in PDF format. 2. Product & Startup Demos: The authors are requested to submit a proposal no longer than three pages that outline the motivation, technologies, and use cases that will be demoed. For further details on submission guidelines, visit: https://www.aimlsystems.org/2024/demos/ GENERATIVE AI WORKSHOP The workshop on Generative AI at AIMLSystems will focus on the entire life-cycle of building and deploying such Generative AI systems, including data collection and processing, developing systems and requisite infrastructure, applications it enables, and the ethics associated with such technology covering concerns related to fairness, transparency and accountability. We invite original, unpublished work on Artificial Intelligence with a focus on generative AI and their use cases. For further details on topics of interest and submission guidelines, visit: https://www.aimlsystems.org/2024/workshop-genai/ IMPORTANT DATES - Jun 7, 2024 - Paper submission deadline in Research and Industry Tracks - Jun 15, 2024 - Paper submission deadline in GenAI Workshop - Jul 31, 2024 - Acceptance notification in Research and Industry Tracks - Aug 5, 2024 - Paper submission deadline in Demo Track - Aug 24, 2024 - Acceptance notification in Gen AI Workshop - Aug 26, 2024 - Acceptance notification in Demo Track ORGANISING COMMITTEE General Co-chairs - Manuel Roveri (Politecnico di Milano, Italy) - Rahul Ghosh (Walmart Global Tech, India) - Supratik Mukhopadhyay (Louisiana State University, USA) Technical Program Committee Co-Chairs - Davide Bacciu (Universit? di Pisa, Italy) - Manish Gupta (Microsoft, India) - Rashmi Gangadharaiah (Amazon, USA) Research Track Co-Chairs - Brandon Oubre (Harvard, USA) - Lori Landay (Berklee College, USA) - Paulo Lisboa (John Moores University, UK) - Rahmani Hossein (Lancaster University, UK) - Shailesh Deshpande (Tata Research, India) - Yimin Zhu (Louisiana State University, USA) - Z. George Xue (Louisiana State University) Industry Track Co-Chairs - Anupam Purwar (Amazon, India) - Veena Mendiratta (Northwestern University, USA) - Valeria Tomaselli (ST Microelectronics) Demos & Exhibits Co-Chairs - Fan Yang (Amazon, USA) - Tridib Mukherjee (Games24x7, India) Web Co-Chairs - John Paul Breaux (Louisiana State University, USA) - Shivani Singh (IIIT Bangalore, India) - Vivek Yadav (IIIT Bangalore, India) Workshop Co-Chairs - Anupam Purwar (Amazon, India) - Hiteshi Sharma (Microsoft Research, USA) - Sierra Simpson (UC San Diego, USA) Publications Chair - Subrato De (Qualcomm, USA) Publicity Co-Chairs - Massimo Pavan (Politecnico di Milano, Italy) - Subhajit Sidhanta (IIT Bhilai, India) - Yanyu Wang (Louisiana State University, USA) Social Media Co-Chairs - Alessandro Falceta (Politechnico di Milano, Italy) - Arghya Kusum Das (University of Alaska) - Shantanu Pal (Deakin University, Australia) IT Co-Chair - Raj Sharma (Walmart Global Tech, India) Panel Co-Chair - Rekha Singhal (TCS, USA) Tutorial Co-Chair - Sandipan Dandapat (Microsoft, India) Steering Committee Co-Chairs - Anurag Kumar (IISc Bangalore, India) - Giridhar Mandyam (Mediatek, USA) - G Venkatesh (IIT Madras, India) - Huzur Saran (IIT Delhi, India) - Rajeev Shorey (IIT Delhi, India) - Uday Desai (IIT Hyderabad, India) -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Fri May 17 14:17:14 2024 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Fri, 17 May 2024 20:17:14 +0200 Subject: Connectionists: [CfP] ICML Workshop on Models of Human Feedback for AI Alignment Message-ID: <9ddfa396-f4ed-4cbd-b7cf-4182ff3b5ff9@gmail.com> Hello everyone, We are pleased to announce the Models of Human Feedback for AI Alignment Workshop at ICML 2024 taking place July 26 in Vienna, Austria. The workshop will discuss crucial questions for AI alignment and learning from human feedback including how to model human feedback, how to learn from diverse human feedback, and how to ensure alignment despite misspecified human models. Call for Papers: https://sites.google.com/view/mhf-icml2024/call-for-papers Submission Portal: https://openreview.net/group?id=ICML.cc/2024/Workshop/MFHAIA Key dates: Submission deadline: May 31st AOE Acceptance notification: June 17th Workshop: July 26th We invite submissions related to the theme of the workshop. Topics include but are not limited to: Learning from Demonstrations (Inverse Reinforcement Learning, Imitation Learning, ...) Reinforcement Learning with Human Feedback (Fine-tuning LLMs, ...) Human-AI Alignment, AI Safety, Cooperative AI Robotics (Human-AI Collaboration, ...) Preference Learning, Learning to Rank (Recommendation Systems, ...) Computational Social Choice (Preference Aggregation, ...) Operations Research (Assortment Selection, ...) Behavioral Economics (Bounded Rationality, ...) Cognitive Science (Effort in Decision-Making, ...) Best, Christos Dimitrakakis From arinbasu at cityu.edu.hk Fri May 17 22:20:07 2024 From: arinbasu at cityu.edu.hk (Prof. Arindam BASU) Date: Sat, 18 May 2024 02:20:07 +0000 Subject: Connectionists: Grand Challenge on Neural Decoding at BioCAS 2024 Message-ID: Apologies for Cross posting ---------------------------------- Dear all We are pleased to announce the Grand Challenge on ?Neural Decoding for Motor Control of non-Human Primates? at IEEE BioCAS 2024. About The need to restore their ability to perform activities for daily living has motivated the development of a host of assistive technologies. The most promising among the reported ones is the intra-cortical Brain-Machine Interface (iBMI). iBMIs aim to substantially improve patients' lives affected by spinal cord injury or debilitating neurodegenerative disorders such as tetraplegia, amyotrophic lateral sclerosis etc. An important block in the signal processing chain is the intention decoder that converts the neural signal to a command for driving an actuator (e.g. wheelchair, cursor in screen etc.). While Kalman Filters have been the algorithm of choice historically, the recent improvements of deep neural networks (DNN) raise the question whether they can outperform traditional signal processing techniques. Moreover, integrating such decoders in the implant can provide an effective solution to data compression which is urgently needed to enable wireless iBMIs. However, the computational complexity of the decoder has to be reduced to fit within the power budget of an implant. Recent advances in DNN techniques such as model compression, quantization and new networks like spiking neural networks may offer solutions in this direction. This IEEE BioCAS Grand Challenge is geared in that direction and aims to push the boundary for neural decoder design toward next-generation BMI systems. We leverage the framework of Neurobench (https://arxiv.org/abs/2304.04640) developed for benchmarking neuromorphic systems to enable fair comparisons between different decoder designs. Timeline Start of Registration Friday, Apr 26, 2024 Start of Project Submission Wednesday, May 1, 2024 End of Registration/ Regular Paper Submission Friday, May 27, 2024 End of Project Submission Friday, Aug 2, 2024 Author Notification Date Friday, Aug 16, 2024 Final paper submission deadline Friday, Sep 6, 2024 Conference Registration Friday, Oct 4, 2024 Participation 1. The competition is open to individuals, colleges/universities, scientific research institutions, and enterprises. The maximum number of team members is 3. 2. To ensure compliance with local regulations during the competition, all participants should comply with the export control laws of their country. In case of any negative impact on the competition due to violation of any export control laws, the team members reserve the right to disqualify the relevant contestants and take legal action. 3. Participants shall express their interest to participate in this Grand Challenge by filling in the application form (https://forms.gle/XGu4Bo9qq2YEYWWe6 ). They have to further submit an abstract in the Conference paper submission website (https://2024.ieee-biocas.org/Call-for-Papers) choosing the track as ?Grand Challenge?, by May 27, 2024. Awards Top performing teams will be invited to submit papers in a week after their notification on Aug 16. Do note that gaining one of the top places on the leaderboard does not necessarily mean the acceptance of your paper ?the paper will still go through a peer review process and may be rejected. The winning entries may however present their work at the conference regardless of paper acceptance. They will also receive certificates. For further details of datasets and evaluation metrics, please check the Biocas website: http://2024.ieee-biocas.org/ You may also email the organizers as listed below. We look forward to receiving your submissions! Thanking you, Organizers Biyan Zhou, City University of Hong Kong Pao-Sheng Vincent Sun, City University of Hong Kong Jason Yik, Harvard University Charlotte Frenkel, Delft University of Technology Vijay Janapa Reddi, Harvard University Arindam Basu, City University of Hong Kong (Email: byzhou4-c at my.cityu.edu.hk; vincesun-c at my.cityu.edu.hk; jyik at g.harvard.edu ) -- Regards Arindam Basu Professor, Dept. of EE City University of Hong Kong Associate EiC, IEEE TBCAS Editorial Board Member of IOP Neuromorphic Computing and Engineering Associate Editor of IEEE Sensors & Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From muna.al-hawawreh at ieee.org Sat May 18 21:18:41 2024 From: muna.al-hawawreh at ieee.org (Muna Al-Hawawreh) Date: Sun, 19 May 2024 11:18:41 +1000 Subject: Connectionists: LLMCS Workshop-FLLM2024 Call for Papers! Message-ID: [Apologies if you got multiple copies of this invitation] Call for Papers! *The International Workshop on Large Language Models for Cybersecurity (LLMCS 2024)-The 2nd International Conference on Foundation and Large Language Models (FLLM2024) * https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/ 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section Recent advancements in Generative Artificial Intelligence have revolutionized the landscape of content creation and have significantly changed how content is conceptualized, developed, and delivered across various industries. Large Language Models (LLMs), such as BERT, T5, ChatGPT, GPT-4, Falcon 180B, and Codex, have influenced most disciplines of science and technology that support content generation in diverse applications, including cybersecurity. In cybersecurity, LLMs represent a dual-purpose tool. On the one hand, they empower malicious actors to identify vulnerabilities and enhance attack strategies. Conversely, they empower security teams to fortify defenses, identify threats, and effectively streamline risk management and operational processes. Despite the anticipated widespread adoption of these LLMs, our understanding of their full impact on cybersecurity still needs to be completed. There is a critical need to assess how they contribute to the discovery of vulnerabilities comprehensively, the development of new attack tactics and techniques, the creation of complex malware patterns, the identification of potential threats, and the mitigation of risks through automated vulnerability remediation We invite the submission of original papers on all topics related to LLMs and cybersecurity, with special interest in but not limited to: - LLMs-empowered defensive strategies - Offensive approaches using LLMs - LLMs and cybercrime laws - Chatbot software/Apps (BERT, T5, ChatGPT, GPT-4, Falcon 180B , ...) impact on cybersecurity education - LLM for creating cybersecurity policies - Security of LLM-generated code - LLMs-driven threat modeling - LLMs for Solving Offensive Security Challenges such as Capture the Flag - Reliability Issues of using LLMs in the cybersecurity context - LLMs for generation and analysis of Cyber Threat Intelligence (CTI) - Privacy issues of LLMs and privacy-preserving LLMs - Generating Adversarial machine learning examples using LLMs - LLMs driven threat prevention - LLMs based cybersecurity awareness framework *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: August 15, 2024* - Notification of acceptance: October 5, 2024 - Camera-ready Submission: October 20, 2024 *Contact:* Please send any inquiry on FLLM to: * * info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From muna.al-hawawreh at ieee.org Sun May 19 03:22:02 2024 From: muna.al-hawawreh at ieee.org (Muna Al-Hawawreh) Date: Sun, 19 May 2024 17:22:02 +1000 Subject: Connectionists: Workshop on Large Language Models for Cybersecurity (Technically Co-Sponsored by IEEE) Call for Papers: 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] Call for Papers! *The International Workshop on Large Language Models for Cybersecurity (LLMCS 2024)-The 2nd International Conference on Foundation and Large Language Models (FLLM2024) * https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/ 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section Recent advancements in Generative Artificial Intelligence have revolutionized the landscape of content creation and have significantly changed how content is conceptualized, developed, and delivered across various industries. Large Language Models (LLMs), such as BERT, T5, ChatGPT, GPT-4, Falcon 180B, and Codex, have influenced most disciplines of science and technology that support content generation in diverse applications, including cybersecurity. In cybersecurity, LLMs represent a dual-purpose tool. On the one hand, they empower malicious actors to identify vulnerabilities and enhance attack strategies. Conversely, they empower security teams to fortify defenses, identify threats, and effectively streamline risk management and operational processes. Despite the anticipated widespread adoption of these LLMs, our understanding of their full impact on cybersecurity still needs to be completed. There is a critical need to assess how they contribute to the discovery of vulnerabilities comprehensively, the development of new attack tactics and techniques, the creation of complex malware patterns, the identification of potential threats, and the mitigation of risks through automated vulnerability remediation We invite the submission of original papers on all topics related to LLMs and cybersecurity, with special interest in but not limited to: - LLMs-empowered defensive strategies - Offensive approaches using LLMs - LLMs and cybercrime laws - Chatbot software/Apps (BERT, T5, ChatGPT, GPT-4, Falcon 180B , ...) impact on cybersecurity education - LLM for creating cybersecurity policies - Security of LLM-generated code - LLMs-driven threat modeling - LLMs for Solving Offensive Security Challenges such as Capture the Flag - Reliability Issues of using LLMs in the cybersecurity context - LLMs for generation and analysis of Cyber Threat Intelligence (CTI) - Privacy issues of LLMs and privacy-preserving LLMs - Generating Adversarial machine learning examples using LLMs - LLMs driven threat prevention - LLMs based cybersecurity awareness framework *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: August 15, 2024* - Notification of acceptance: October 5, 2024 - Camera-ready Submission: October 20, 2024 *Contact:* Please send any inquiry on LLMCS to Muna Al-Hawawreh: muna.alhawawreh at deakin.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Sun May 19 06:54:41 2024 From: kc.w at cityu.edu.hk (Prof. WONG Ka Chun) Date: Sun, 19 May 2024 10:54:41 +0000 Subject: Connectionists: The 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology Message-ID: [Apologies if you got multiple copies of this invitation] The 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology https://www.wi-iat.com/wi-iat2024/index.html https://www.wi-iat.com/wi-iat2024/Participant-Submission.html Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web's entities, phenomena, and developments. Web Intelligence and Intelligent Agent Technology (WI-IAT) aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with collective intelligence, data science, human-centric computing, knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of intelligent technologies. WI-IAT'24 provides a premier forum and features high-quality, original research papers and real-world applications in all theoretical and technology areas that make up the field of Web Intelligence and Intelligent Agent Technology. WI-IAT'24 welcomes research, application as well as Industry/Demo paper submissions. Tutorial, Workshop and Special-Session proposals and papers are also welcome. WI-IAT'24 in Bangkok (Thailand) is officially sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII) and Web Intelligence Consortium (WIC). WI-IAT'24 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings and strategies in deepening the understanding of all Web's entities, phenomena, and developments in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how artificial intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, the Web of Everything, and emerging FAccT in WI-IAT. Therefore, "Web Intelligence = AI in the Connected World". The WI-IAT'24 solicits high-quality original research. Relevant topics include but are not limited to: * Track 1: Web of People * Track 2: Web of Data * Track 3: Web of Things * Track 4: Web of Trust * Track 5: Web of Agents * Special Track: FAccT in WI - IAT Important dates (Anywhere on Earth): * July 15, 2024: Papers Submission (Main Conference) * August 30, 2024: Paper Acceptance Notification (Main Conference) Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Industry and Demo papers must specify "industry" or "demo" in their title, and they are limited to 4 pages including references. Submitted papers will undergo a peer review process, coordinated by the International Program Committee. Accepted papers will be published in the conference proceedings by IEEE and submitted to EI. Selected WI-IAT'24 papers will be further invited for expansion and publication in Web Intelligence journal and other international journals. Detailed submission guidelines can be found at https://www.wi-iat.com/wi-iat2024/Participant-Submission.html Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong kc.w at cityu.edu.hk https://www.cityu.edu.hk/stfprofile/kc.w.htm Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun May 19 10:43:37 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 19 May 2024 17:43:37 +0300 Subject: Connectionists: World wide VVTNS series: Wednesday, May 22 at 11am (EDT), Yu Hu Hong Kong University of Science and Technology | How random connections and motifs shape the covariance spectrum of recurrent network dynamics 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 Yu Hu Hong Kong University of Science and Technology on the topic of "How random connections and motifs shape the covariance spectrum of recurrent network dynamics*"* The lecture will be held on zoom on *May 22, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Theoretical neuroscience aims to understand the relationship between neuron dynamics and connectivity in recurrent circuits. This has been intensively studied at the local level, where dynamics is described by pairwise correlations. Recent advances in simultaneous recordings of many neurons have allowed researchers to address the question at the global level, such as for the dimensionality of population dynamics. Our work contributes to this effort by analyzing the impact of connectivity statistics, including certain motifs, on the bulk and outlier covariance eigenvalues. By considering linearized dynamics around a steady state, we obtained analytically the covariance spectrum which exhibits a signature long tail robust to model variants and matches zebrafish calcium imaging data. This provides a local circuit mechanism for shaping the geometry of population dynamics and a quantitative benchmark for interpreting data. *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... 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Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From elio.tuci at gmail.com Mon May 20 04:34:12 2024 From: elio.tuci at gmail.com (Elio Tuci) Date: Mon, 20 May 2024 10:34:12 +0200 Subject: Connectionists: CfP WIVACE 2024 - XVIII International Workshop on Artificial Life and Evolutionary Message-ID: *WIVACE2024* September 11-13, 2024, Namur, Belgium Up-to-date information at https://events.info.unamur.be/wivace2024/ *Important Dates* Submission deadline: June 7, 2024 Notification of acceptance: August 9, 2024 Workshop: September 11-13, 2024 Submission of post-workshop version: 18 October 2024 *Contributions may be submitted in one of the following forms: * Full research papers (up to 12 pages) (published in the proceedings) Extended abstracts (1-4 pages) (published in the proceedings) Summaries of already published papers (1-4 pages) (not published in the proceedings) Please submit papers at: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FWIVACE2024 *Scope of the Conference*The International Workshop on Artificial Life and Evolutionary Computation aims at bringing together researchers working in Artificial Life (ALife) and Evolutionary Computation to present and share their research in a multidisciplinary context. The workshop provides a forum for the discussion of new research directions and applications in these fields, where different disciplines can effectively meet. In particular, the workshop brings together computer scientists, mathematicians, biologists, psychologists, and cognitive scientists to discuss issues related to the original of life, evolution and adaption, collective and social behaviours and other topics related to the development of technological solutions inspired by biological principles. The workshop is based on singe-track sessions, with oral and poster presentations. The workshop is structured using a format specifically though to allow doctoral students and early career researchers to meet in order to discuss their ideas and to disseminate their work in a collaborative and constructive environment. *Relevant Research Areas* WIVACE 2024 welcomes contributions dealing with any aspect of Artificial Life (ALife) and Evolutionary Computation (EvolComp). Topics of interest include: theoretical and empirical research in ALife and EvolComp application of ALife and EvolComp methods to real-world problems Full list of topics available at https://events.info.unamur.be/wivace2024/ *Publication Details*Workshopproceedings will be published by Springer in the CCSI series. All published contributions are peer-reviewed. *Invited speakers* Pietro Li? - University of Cambridge, UK Monika Scholz - MPI, GE Yara Khaluf - Wageningen University, The Netherland Dewi Brunet, artists, Belgium *Local Chair*Timoteo Carletti (Namur Institute for Complex Systems, University of Namur) Elio Tuci (Namur Institute for Complex Systems, University of Namur) Thierry-Sainclair Njougouo (Namur Institute for Complex Systems, University of Namur) *More detailed information at https://events.info.unamur.be/wivace2024/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Mon May 20 05:05:32 2024 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Mon, 20 May 2024 14:35:32 +0530 Subject: Connectionists: ASVspoof 5 challenge (Robust Speech Deepfake Detection and Automatic Speaker Verification) - registration open now Message-ID: Dear all, *Apologies for possible cross-posting* We are delighted to announce that registration for participation in ASVspoof 5: Robust Speech Deepfake Detection and Automatic Speaker Verification https://www.asvspoof.org/ is now open. The registration deadline is July 10th, 2024 The challenge features two tracks: Track 1: Speech deepfake detection (DF) - "real vs fake" speech detection Track 2: Spoofing-robust automatic speaker verification (SASV) ASVspoof is a community-driven, not-for-profit challenge series which promotes the development and benchmarking of generalizable speech deepfake detection and automatic speaker verification systems intended to operate reliably in the face of spoofing attacks. The challenge data is constructed using public speech resources, and organizers provide baseline systems and reference metrics. Compared to previous challenge editions, ASVspoof 5 involves a substantially larger amount of data, enabling participants to develop more sophisticated detection models. To promote robustness, as well as the development of solutions with practical applications in the wild, ASVspoof 5 focuses on non-studio-quality speech data. How to participate? 1. Read the evaluation plan, available at www.asvspoof.org 2. Join the e-mail list: send an e-mail to sympa at lists.asvspoof.org with 'subscribe ASVspoof5' as the subject line. 3. Register: https://shorturl.at/cqrtK Timeline: - Training and development data available: May 20, 2024 - Challenge leaderboard (Codalab) opens: June 05, 2024 - Evaluation data available: June 12, 2024 - Challenge submissions due: July 17, 2024 - ASVspoof 5 workshop paper deadline: July 31, 2024 - Acceptance notifications: August 10, 2024 - ASVspoof 5 workshop at Interspeech: August 31, 2024 Please note that access to Codalab will be granted to registered participants only. Further details are available in the evaluation plan, which will be supplemented with additional details as the challenge progresses. Best regards, The ASVspoof 5 challenge organisers info at asvspoof.org -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India website: *https://sahidullahmd.github.io/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From simona.olmi at fi.isc.cnr.it Mon May 20 10:28:22 2024 From: simona.olmi at fi.isc.cnr.it (Simona Olmi) Date: Mon, 20 May 2024 16:28:22 +0200 Subject: Connectionists: Deadline approaching: 2024 IEEE WORKSHOP ON COMPLEXITY IN ENGINEERING July 22-24, 2024 Florence, Italy In-Reply-To: References: Message-ID: Dear Connectionists group, 2024 IEEE WORKSHOP ON COMPLEXITY IN ENGINEERING July 22-24, 2024 Florence, Italy compeng2024.ino.cnr.it/ Scope The seventh Workshop on Complexity in Engineering COMPENG 2024 provides a forum for experts and professionals working on the latest developments in complexity science and its application in an engineering perspective. Topics of interest include, but are not limited to: > Big Data and data-driven systems > Biophysics / dynamics in biology > Bio-inspired robotics and biomedical engineering > Complex systems and networks > Control in sensor and actuator networks > Communication and Transportation > Ecosystems and climate > Electronic and opto-electronic systems > Laser dynamics, nonlinear optics and opto-mechanics > Machine Learning > Neurotechnology and neuroscience > Nonlinear dynamics and stochastic processes > Smart grids > Time-series analysis and modelling > Financial sponsor > IEEE Italy section Submission Authors interested in presenting an oral contribution are invited to submit a one-page abstract in PDF format via email to compeng.2024 at ino.cnr.it by *May 25, 2024*. Submissions in a different format or exceeding one page will not be considered. Authors will be notified of the acceptance status by June 10, 2024. Authors of accepted abstracts may also prepare a full-paper version (typically 3-5 pages) of their contribution for potential inclusion in the Conference Proceedings on the IEEE Xplore Digital Library. These full-paper submissions should be sent to compeng.2024 at ino.cnr.it by July 31, 2024. Visit the Submission web page for detailed instructions on abstract and paper formatting. Important Dates > Abstract submission Deadline: May 25, 2024 > Authors Notification: June 10, 2024 > Early registration: before June 15, 2024 > Full-paper submission: July 31, 2024 Technical sponsor > Dipartimento di Fisica e Astronomia (Universit? degli Studi di Firenze) > Dipartimento di Matematica e Informatica (Universit? degli Studi di Perugia) > IEEE - CAS society > INFN - sezione di Firenze > INO - CNR > Italian Society for Chaos and Complexity (SICC) Contact Us For inquiries, please contact us at compeng.2024 at ino.cnr.it ============================================================ Simona Olmi Ph.D. Consiglio Nazionale delle Ricerche Istituto dei Sistemi Complessi Via Madonna del Piano, 10 - 50019 Sesto Fiorentino (Italy) Tel. +39 055 5226626 <%2B39%20055%205226620> Fax: +39 055 5226683 Skype: simona.olmi URL: https://www.isc.cnr.it/staff-members/simona-olmi/ Firenze-Neuro: https://www.firenze-neuro.org/ ============================================================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.petrone at gmail.com Mon May 20 13:04:55 2024 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Mon, 20 May 2024 19:04:55 +0200 Subject: Connectionists: Last seats @ MESS 2024 ~ autoDL meets HPC Message-ID: Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2024 - Metaheuristics Summer School - Automated Deep Learning meets High-Performance Computing - 15-18 July 2024, Catania, Italy https://www.ANTs-lab.it/mess2024/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** LAST SEATS @ MESS 2024 ** Contact mess.school at ANTs-lab.it for registration! MESS 2024 is focused on ?Automated Deep Learning meets High-Performance Computing?, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems. All participants will be involved in the ?Metaheuristics Competition Race?, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of manuscripts dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series. ** SPEAKERS + Thomas Bartz-Beielstein, TH Koln, Germany Lecture#1: Introduction to Surrogate-Based Hyperparameter Tuning in Classical Machine Learning, Online Machine Learning, and Deep Learning Lecture#2: Exploring Hyperparameter-Tuning Applications: Optimizing scikit-learn, River, and PyTorch with SPOT and Other Tuning Techniques + Aaron Klein, AWS Research Berlin, Germany Lecture#1: Introduction into AutoML: Hyperparameter Optimization Lecture#2: Introduction into AutoML: Neural Architecture Search + Eric Medvet, University of Trieste, Italy Lecture#1: Metaheuristics for policy search in continuous control Lecture#2: Beyond policy search: optimizing body and brain of simulated robotic agents + David Salinas, University of Freiburg, Germany Lecture#1: Multi-objective optimization Lecture#2: Speeding-up Hyperparameter Optimization with transfer and meta learning + El-Ghazali Talbi, University of Lille1, France Lecture#1: Metaheurististics for neural architecture search and hyperparameter optimization Lecture#2: Parallel and multi-objective metaheuristics for neural architecture search and hyperparameter optimization ~ More Lecturers will be announced soon ~ ** MESS 2024 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION CHAIRS: - Raffaele Cerulli, University of Salerno, Italy - Sara Ceschia, University of Udine, Italy - Carmine Cerrone, University of Genoa, Italy - Andrea Schaerf, University of Udine, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2024/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tanya.brown at ae.mpg.de Tue May 21 09:52:46 2024 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Tue, 21 May 2024 13:52:46 +0000 Subject: Connectionists: This week | Mindvoyage w/ Cory Clark Message-ID: <92D01663-7A41-4A32-A252-52F654856D8A@ae.mpg.de> FRIENDLY REMINDER ? Cory?s talk will take place this Thursday @ 16:00 CET. I encourage everyone to join ? it?s free but registration is req?d REGISTER HERE [Inline image OWAPstImg513834] The Mindvoyage lecture series features prominent scholars from different disciplines including the humanities, biology, neuroscience and physics. Talks are dedicated to engaging in discussions related to novel, distinct and often controversial topics. The next talk will feature Cory Clark on May 23 @ 16:00 CET Free | Online event | All are welcome | Registration required CLICK HERE TO REGISTER [cid85103*image002.png at 01DAA1F2.B7227FE0] Abstract Taboos and Self-Censorship among Psychology Professors I will discuss results of qualitative interviews (n=41) and a quantitative survey (n=470) of U.S. psychology professors, identifying points of conflict and consensus regarding (1) controversial empirical claims and (2) normative preferences for how controversial scholarship?and scholars?should be treated. Professors strongly disagreed on the truth status of 10 candidate taboo conclusions. Professors more confident in the truth of the taboo conclusions reported more self-censorship, a pattern that likely biases perceived scientific consensus regarding the inaccuracy of controversial conclusions. Almost all professors worried about social sanctions if they were to express their own empirical beliefs. Most professors opposed suppressing scholarship and punishing peers based on moral concerns about research conclusions and reported contempt for peers who petition to retract papers on moral grounds. These results do not resolve empirical or normative disagreements among psychology professors, but they may provide an empirical context for their discussion. Registration Link Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium [Inline image OWAPstImg913088] Tanya Brown Scientific Project Manager | ARC-COGITATE Neural Circuits, Consciousness and Cognition Research Group Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany tanya.brown at ae.mpg.de [signature_456844222] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image004.png Type: image/png Size: 60889 bytes Desc: image004.png URL: From benoit.cottereau at cnrs.fr Tue May 21 22:53:47 2024 From: benoit.cottereau at cnrs.fr (=?iso-8859-1?Q?COTTEREAU_Beno=EEt?=) Date: Wed, 22 May 2024 02:53:47 +0000 Subject: Connectionists: =?iso-8859-1?q?Fully_funded_PhD_fellowship_in_com?= =?iso-8859-1?q?putational_neurosciences__at_the_CerCo_=28CNRS_UMR_5549=2C?= =?iso-8859-1?q?_Toulouse_France=29_and_IPAL_=28IRL_2955=2C_Singapore=29_l?= =?iso-8859-1?q?aboratories_under_the_supervision_of_Benoit_Cottereau_and_?= =?iso-8859-1?q?Timoth=E9e_Masquelier?= In-Reply-To: <49f8c2efdae34152814d311073d3bc77@cnrs.fr> References: <49f8c2efdae34152814d311073d3bc77@cnrs.fr> Message-ID: <22172a1e02854668aab379b9d4a620f3@cnrs.fr> Fully funded PhD fellowship in computational neurosciences at the CerCo laboratory (CNRS UMR 5549, Toulouse France) and in collaboration with the IPAL laboratory (IRL 2955, Singapore) Benoit Cottereau / Timoth?e Masquelier Starting date: Second semester of 2024 Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau at cnrs.fr) and Timoth?e Masquelier, research director at CNRS (CerCo, contact: timothee.masquelier at cnrs.fr) Keywords: Vision, Computational neurosciences, Artificial intelligence (AI), Spiking neural networks, Event-based cameras, Neuro-ophthalmology. A fully funded PhD fellowships is available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director) and Timoth?e Masquelier (CNRS research director). The aim of the project is to develop computational models that explain how the visual system evolves following the onset of pathologies associated with visual field deficits (e.g., in patients with macular degeneration or retinis pigmentosa). We will be specifically interested in the neuroplasticity mechanisms that may underly the visual rehabilitations observed in some animal models of these pathologies (see e.g., Shao et al., 2014; Burnat et al., 2017). It will be realized using spiking neural networks trained with data collected by event-based cameras from partially occluded visual scenes (see e.g., Moore et al., 2021). The outputs of the networks after training will be compared to those observed in neural recordings and/or in behavioural experiments realized in patients (the CerCo has a privileged connection with the Retina Center of the Purpan hospital in Toulouse). The candidate should be willing to work in a multidisciplinary environment which combines AI, neurosciences and ophthalmology, have a good level in English, very good mathematical and programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. The position will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau at cnrs.fr and timothee.masquelier at cnrs.fr, including a CV and 2 names of references. References: - Burnat, K., Hu, T. T., Kossut, M., Eysel, U. T., & Arckens, L. (2017). Plasticity beyond V1: reinforcement of motion perception upon binocular central retinal lesions in adulthood. Journal of Neuroscience, 37(37), 8989-8999. - Moore, J. A., Tuladhar, A., Ismail, Z., Mouches, P., Wilms, M., & Forkert, N. D. (2023). Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics, 21(1), 45-55. - Shao, Y., Keliris, G. A., Papanikolaou, A., Fischer, M. D., Zobor, D., J?gle, H., ... & Smirnakis, S. M. (2013). Visual cortex organisation in a macaque monkey with macular degeneration. European journal of neuroscience, 38(10), 3456-3464. ************************************************************************************************************ Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at IPAL (IRL 2955, Singapore) and CerCo (UMR 5549, Toulouse) laboratories, Adjunct associate professor in computer science at the National University of Singapore (NUS), Director of the CerCo SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University webpages: http://cerco.cnrs.fr/page-benoit-cottereau/ https://ipal.cnrs.fr/benoit-cottereau-personal-page/ e-mail: benoit.cottereau at cnrs.fr phone: (+65)-8302-2615 -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Tue May 21 18:46:04 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 22 May 2024 01:46:04 +0300 Subject: Connectionists: =?utf-8?q?ICSC_CFP_=28Hybrid_Conference_Co-Sponso?= =?utf-8?q?red_by_IEEE_=29=3A_The_Fourth_Intelligent_Cybersecurity_?= =?utf-8?q?Conference=2C_17=E2=80=9320_September=2C_2024_=7C_Valenc?= =?utf-8?q?ia=2C_Spain=2E?= Message-ID: [Apologies if you got multiple copies of this invitation] The Fourth Intelligent Cybersecurity Conference (ICSC2024) Hybrid Event https://www.icsc-conference.org/2024/ 17?20 September, 2024 | Valencia, Spain. Technically Co-Sponsored by IEEE Spain Section *ICSC 2024 CFP:* In today?s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others. The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: - Intelligent systems for effective detection of cyber-attacks - Advanced Intelligent systems and data analytics for Cloud/Edge systems security - Malware detection using intelligent systems Vulnerability assessment - Intelligent systems for intrusion detection in Internet of Things (IoT) systems - Network forensics using intelligent systems and data analytics - Data Analytics for privacy-by-design in smart health - Datasets, benchmarks, and open-source packages - Recourse efficient deep learning - Adversarial Machine learning and Backdoor Attacks - Blockchain Systems for Cyber Security - Trustworthy AI Systems - Intelligent Systems for Misinformation Detection *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: June 15, 2024 (Extended) * - Notification of acceptance: July 25, 2024 - Camera-ready Submission: August 5, 2024 *Contact:* Please send any inquiry on ICSC to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue May 21 14:25:10 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 21 May 2024 21:25:10 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, May 22 at 11am (EDT), Yu Hu , Hong Kong University of Science and Technology | How random connections and motifs shape the covariance spectrum of recurrent network dynamics 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 Yu Hu Hong Kong University of Science and Technology on the topic of "How random connections and motifs shape the covariance spectrum of recurrent network dynamics*"* The lecture will be held on zoom on *May 22, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Theoretical neuroscience aims to understand the relationship between neuron dynamics and connectivity in recurrent circuits. This has been intensively studied at the local level, where dynamics is described by pairwise correlations. Recent advances in simultaneous recordings of many neurons have allowed researchers to address the question at the global level, such as for the dimensionality of population dynamics. Our work contributes to this effort by analyzing the impact of connectivity statistics, including certain motifs, on the bulk and outlier covariance eigenvalues. By considering linearized dynamics around a steady state, we obtained analytically the covariance spectrum which exhibits a signature long tail robust to model variants and matches zebrafish calcium imaging data. This provides a local circuit mechanism for shaping the geometry of population dynamics and a quantitative benchmark for interpreting data. *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.* ? ? ? ? ? -------------- 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 H.Brouwer at tilburguniversity.edu Wed May 22 03:05:59 2024 From: H.Brouwer at tilburguniversity.edu (Harm Brouwer) Date: Wed, 22 May 2024 07:05:59 +0000 Subject: Connectionists: PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years) Message-ID: <9957bebc-0be7-4bec-b15b-d1c7a783bd34@tilburguniversity.edu> PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master?s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of ?3226- per month up to a maximum of ? 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer at tilburguniversity.edu), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master?s degrees; * a sample of writing, such as your Master?s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/neurocomputation-language The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences Recruitment code Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- [ Dr. Harm Brouwer, Associate Professor [ Cognitive Science and Artificial Intelligence, Tilburg University [ E-mail: h.brouwer at tilburguniversity.edu [ http://www.hbrouwer.eu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.decampos at tue.nl Wed May 22 04:56:13 2024 From: c.decampos at tue.nl (Cassio de Campos) Date: Wed, 22 May 2024 10:56:13 +0200 Subject: Connectionists: [job] PhD in probabilistic ML @ TU Eindhoven Message-ID: Dear all, We are currently looking for a PhD candidate in probabilistic machine learning; please forward the information below to any parties you think might be interested! best regards, cassio. --- Are you interested in working on foundational issues of robustness and reliability of probabilistic AI? Are you motivated to translate your theoretical results to real-world problems in healthcare? Then come join us as our next PhD-candidate in the Uncertainty in AI group! The Uncertainty in Artificial Intelligence (UAI) group is a growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl). In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms, and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together with the successful candidate and in line with the NWO Perspectief Project Personalised Care in Oncology (www.personalisedcareinoncology.nl). The research topics may include, but are not restricted to: * Probabilistic graphical models (Markov, Bayesian, credal networks) * Causality: Theory and application * Cautious AI, including imprecise probabilities * Robust stochastic processes * Tractable models and decision-making * Online/continual learning with evolving data Job requirements * Master?s degree in Mathematics, Statistics, Computer Science, or a related field * Excellent analytical and mathematical skills * Affinity with developing theoretical results * Excellent algorithmic skills (including realizing it via coding) * Excellent academic writing and presentation skills * Proficiency in English (written and spoken) * Desire to conduct excellent research and publish in high quality conferences and journals * Independent thinker and self-responsibility * Ability and desire to collaborate and work in teams * Ability and desire to support teaching and to co-supervise bachelor and master students For more information and applying (deadline 23 June 2024), please see https://jobs.tue.nl/en/vacancy/phd-in-probabilistic-machine-learning-1081259.html If you have further questions, please don't hesitate to contact me! Best, dr. Thomas Krak t.e.krak [at]tue.nl Assist. Prof. in UAI group Eindhoven University of Technology From bernstein.communication at fz-juelich.de Wed May 22 06:56:49 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Wed, 22 May 2024 12:56:49 +0200 Subject: Connectionists: Bernstein Conference 2024 - Deadline approaching for contributed talk abstract submission Message-ID: <9b106866-61b0-4357-b54d-a1652f44cc9a@fz-juelich.de> Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST * Bernstein Conference: September 29 ? October 2, 2024 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 ?. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/ ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Sup?rieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of T?bingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universit?t zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor M?ynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 francesca.naretto at sns.it Wed May 22 10:55:45 2024 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Wed, 22 May 2024 16:55:45 +0200 Subject: Connectionists: Discovery Science in Pisa 2024 CFP Message-ID: *** Apologies for cross-posting *** 27th International Conference on Discovery Science (DS2024) October 14-16, 2024, Pisa, Italy http://ds2024.isti.cnr.it/index.html ***CALL FOR PAPER: MAIN RESEARCH TRACK*** Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. - Knowledge Discovery and Data Mining - Anomaly and Outlier Detection - Time-Series Analysis - Spatial, Temporal and Spatiotemporal Data Analysis - Unstructured Data Analysis (textual and web data) - Data and Knowledge Visualization - Complex Network Analysis - Causal Modelling - Explainable AI and Interpretable Machine Learning - Human-Machine Interaction for Knowledge Discovery and Management - Data Streams, Evolving Data, Change Detection & Concept drift - AutoML, Meta-Learning, Planning to Learn - AI and High-performance Computing, Grid and Cloud Computing - AI and Cybersecurity - Computational Creativity - Learning from Complex Data - Process Discovery and Analysis - Evaluation of Models and Predictions in Discovery Setting - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences ***INVITED SPEAKERS*** - Roberto Navigli, Sapienza University of Rome and Babelscape ? October 14th - Carlos Castillo, ICREA and Universitat Pompeu Fabra ? October 15th - Francesca Toni, Imperial College London ? October 16th ***IMPORTANT DATES*** Abstract submission (deadline): Monday June 3, 2024 Full paper submission (deadline): Monday June 10, 2024 Notification of acceptance: Monday July 22, 2024 Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ At least one of the authors must be a registered participant at the conference to present the work. ***SPECIAL ISSUE*** The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. ***BEST PAPER AWARD*** There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area. ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA*** SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of the main track but focussed on experiments for the SoBigData research spaces: - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts. - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies. - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a ?conscious system? able to self-control a large number of subsystems. - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics. - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas. - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities. - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance). Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels. ***IMPORTANT DATES & SUBMISSION PROCEDURE*** Abstract submission (deadline): Monday June 3, 2024 Full paper submission (deadline): Monday June 10, 2024 Notification of acceptance: Monday July 22, 2024 Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***BEST PAPER AWARD*** There will be a Best SoBigData Paper award in the value of 550 Eur sponsored by SoBigData. ***CALL FOR LATE BREAKING CONTRIBUTIONS *** The Posters Track complements the research track of the conference and offers an opportunity to present late-breaking results and showcase innovative implementations in an informal and interactive setting. During the Poster session authors are encouraged to directly connect with conference participants and engage in discussions about their work. We invite submissions relevant to Discovery Science and which address, but are not limited to, the topics of the Research Track. We also welcome work that has already been seen in other places but needs to be shared with the Discovery Science community. Authors of the research papers not accepted for the Research track can be invited to present their work via a poster in the Poster session to discuss their research and scientific contributions with the community and expand their network with other researchers. ***IMPORTANT DATES*** Submission due: Monday June 22, 2024 Notification of acceptance: Monday July 27, 2024 Camera-ready version (extended abstract), author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to two-page (excluding references) extended abstract for evaluation. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ Poster submissions should describe late-breaking research results, on-going research projects, or work-in-progress relevant to Discovery Science. Additional links to relevant resources are encouraged to be included in the submission. The submissions should not be anonymised. Each submission will be reviewed by 2 members of the Program Committee. All accepted posters will be available on the conference website. Authors are encouraged to link in the poster complementary materials (e.g. images, videos, code). At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***CALL FOR CONTRIBUTIONS: DOCTORAL CONSORTIUM*** The Doctoral Consortium (DC) provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Discovery Science. The DC will also provide opportunities to network and build collaborations with other members of the Discovery Science community. We welcome submissions across research Discovery Science-related domains and which address, but are not limited to, the topics of the Research Track. The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event to present their PhD research proposal in a Poster session. Details for the submission are found below under ?Submission Details?. ***IMPORTANT DATES*** Submission due: Monday June 22, 2024 Notification of acceptance: Monday July 27, 2024 Camera-ready version (extended abstract), author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to four-page (excluding references) description of their PhD research proposal. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section. Research proposals (and if accepted, the Posters) should contain the following elements: - Context: The background and motivation for your research, including the related work that frames your research - Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature. - Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description. - Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps. - Discussion and Future work: What are intermediary conclusions, and what are the planned next steps? All accepted research proposals will be presented in a Poster session. Posters and PDF documents will be available on the conference website. PhD students are encouraged to link in the poster complementary materials (e.g. images, videos, code). At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***COMMITTEES AND CHAIRS*** GENERAL & PROGRAM CHAIRS - Dino Pedreschi, University of Pisa - Anna Monreale, University of Pisa - Riccardo Guidotti, University of Pisa STEERING COMMITTEE - Michelangelo Ceci, University of Bari SPECIAL SESSION CHAIR - Roberto Trasarti, ISTI-CNR Pisa POSTER SESSION CHAIR - Francesca Naretto DOCTORAL CONSORTIUM CHAIRS - Fosca Giannotti - Roberto Pellungrini SOCIAL MEDIA & PUBLICITY CHAIR - Vittorio Romano LOCAL ORGANIZATION COMMITTEE - Francesco Spinnato, University of Pisa -- Francesca Naretto Ph.D. in Data Science francesca.naretto at sns.it SNS, Pisa | CNR, Pisa -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Wed May 22 14:22:32 2024 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Wed, 22 May 2024 14:22:32 -0400 Subject: Connectionists: 2024 NEURON Summer Course reminder Message-ID: <107b571d-fca7-4cf6-ba15-c3a93236b707@yale.edu> A few seats remain open for the 2024 NEURON Summer Course, but the registration deadline is Monday, June 3 -- less than two weeks from today! -- so you should act now if you want to join us at Brown University in Providence, Rhode Island. This course will provide a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise.It will start at 9 AM Sunday, June 16, and end at 5 PM Friday, June 21, 2024. For more information and the on-line application form, see The 2024 NEURON Summer Course --Ted -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlas at fi.upm.es Wed May 22 17:30:29 2024 From: mlas at fi.upm.es (mlas at fi.upm.es) Date: Wed, 22 May 2024 23:30:29 +0200 (CEST) Subject: Connectionists: XVI Madrid UPM Machine Learning and Advanced Statistics Summer School (June 17th - June 28th, 2024) - Early registration deadline Message-ID: <1154002927.0.1716413430037.JavaMail.bmihaljevic@lenovo> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school finishes on May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 17th to June 28th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 17th - June 21st, 2024) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Statistical Inference (15 h) Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 24th - June 28th, 2024) ## 1st session: 9:45-12:45 ### Course 7: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: SVMs, Kernel Methods and Regularized Learning (15 h) Regularized learning. Kernel methods. SVM models. SVM learning algorithms. Practical session: Python Anaconda with scikit-learn. ### Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From kordjams at msu.edu Thu May 23 00:12:07 2024 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Thu, 23 May 2024 04:12:07 +0000 Subject: Connectionists: [Deadline Extension] ACL 2024: Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) In-Reply-To: <7C174D6A-9C1F-44DA-961B-CC2CFE9A7DB5@msu.edu> References: <1FA77755-A996-4D77-9958-72ECF02FBCB9@msu.edu> <4A1658CF-7489-468C-B714-45AF0FB51F1D@msu.edu> <7C174D6A-9C1F-44DA-961B-CC2CFE9A7DB5@msu.edu> Message-ID: <0DED67F0-1274-4003-848C-CF85AF3F1387@msu.edu> Deadline extended to May 27th 2024 --------------------------------------------------------------- Last CALL FOR PAPERS ---------------------------------------------------------------- International Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) @ACL 2024 (https://splu-robonlp-2024.github.io/ ) Location: Bangkok, Thailand Date: August 16, 2024 --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Important Dates - Submission Deadline: 17 May 27 May 2024 (Anywhere on Earth) - Notification of Acceptance: 17 June 2024 (Anywhere on Earth) - Camera Ready Deadline: 1 July 2024 (Anywhere on Earth) - Workshop Day: 16 August 2024 (co-located with ACL 2024) --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- Leveraging the foundation built in the prior workshops SpLU-RoboNLP 2023, SpLU-RoboNLP 2021, SpLU 2020, SpLU-RoboNLP 2019, SpLU 2018, and RoboNLP 2017, we propose the fourth combined workshop on Spatial Language Understanding and Grounded Communication for Robotics. Natural language communication with general-purpose embodied robots has long been a dream inspired by science fiction, and natural language interfaces have the potential to make robots more accessible to a wider range of users. Achieving this goal requires the continuous improvement of and development of new technologies for linking language to perception and action in the physical world. In particular, given the rise of large vision and language generative models, spatial language understanding and natural interactions have become more exciting topics to explore. This joint workshop aims to bring together the perspectives of researchers working on physical robot systems with human users, simulated embodied environments, multimodal interaction, and spatial language understanding to forge collaborations. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- We are interested in but not limited to original research in developing computational models, benchmarks, evaluation metrics, analysis, surveys, and position papers on the following topics: - Deployment of Large Language Models for Situated Dialogue and Language Grounding - Spatial Reasoning with Large Language Models - Aligning and Translating Language to Situated Actions - Evaluation Metrics for Language Grounding and Human-Robot Communication - Human-Computer Interactions Through Natural or Structural Language - Instruction Understanding and Spatial Reasoning based on Multimodal Information for Navigation, Articulation, and Manipulation - Interactive Situated Dialogue for Physical Tasks - Language-based Game Playing for Grounding - Spatial Language and Skill Learning via Grounded Dialogue - (Spatial) Language Generation for Embodied Tasks - (Spatially-) Grounded Knowledge Representations - Spatial Reasoning in Image and Video Diffusion Models - Qualitative Spatial Representations and Neuro-symbolic Modeling - Utilization and Limitations of Large (Multimodal-)Language Models in Spatial Understanding and Grounded Communication --------------------------------------------------------------- INVITED SPEAKERS ??????????????????????????????? Malihe Alikhani, Northeastern University Danial Fried, Carnegie Mellon University Inderjeet Mani, (Formerly) Yahoo Labs Yu Su, Ohio State University We are open to the nomination of additional speakers and encourage self-nomination. The speakers are REQUIRED to attend the workshop in person. We aim to gather a diverse set of senior/junior speakers from academia/industry who work on related topics in language, vision and robotics and did not have a chance to speak in the past versions of the workshop. If you are interested, please email splu-robonlp2024 at googlegroups.com and include your tentative topic. --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- * Long Papers * Technical papers: ACL style, 8 pages excluding references * Short Papers * Position statements describing previously unpublished work or demos: ACL style, 4 pages excluding references ACL Style Files (GitHub): https://github.com/acl-org/ACLPUB/tree/master/templates ACL Style Files (Overview): https://www.overleaf.com/read/crtcwgxzjskr OpenReview Submission: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP Non-Archival Option: ACL workshops are traditionally archival. To allow dual submission of your work to SpLU-RoboNLP 2024 from *ACL Findings and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please apply the ACL format and submit through OpenReview, but indicate that this is a cross-submission (non-archival) at the bottom of the submission form. --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Parisa Kordjamshidi, Michigan State University Xin Eric Wang, University of California Santa Cruz Yue Zhang, Michigan State University Ziqiao Ma, University of Michigan Mert Inan, Northeastern University --------------------------------------------------------------- ADVISING COMMITTEE --------------------------------------------------------------- Raymond J. Mooney, The University of Texas at Austin Joyce Y. Chai, University of Michigan Anthony G. Cohn, University of Leeds --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact the Organizing Committee at splu-robonlp2024 at googlegroups.com . ------------------------------------------- ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/ Woman, Life, Freedom -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1620 bytes Desc: not available URL: From contact at sscc.fr Thu May 23 00:08:48 2024 From: contact at sscc.fr (Samir Ouchani) Date: Thu, 23 May 2024 06:08:48 +0200 Subject: Connectionists: [First CFP] CRiSIS 2024: The 19th International Conference on Risks and Security of Internet and Systems Message-ID: <002601daacc6$f0e20fa0$d2a62ee0$@sscc.fr> Apologies if you receive multiple copies 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) November 26th - 28th, 2024 Aix-en-Provence, France The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. TOPICS ====== We target contributions from both academia and industrials on the following topics, but not limited to: - AI and machine learning-based security approaches - Formal methods and logics-centered security approaches - Analysis and management of risk - Attacks and defenses - Attack data acquisition and network monitoring - Authorization, Authentication, and Identity Management - Blockchain and Distributed Ledger Technologies - Cryptography, biometrics, watermarking - Dependability and fault tolerance of Internet applications - Distributed systems security and safety - Embedded system security and safety - Empirical methods for security and risk evaluation - Hardware-based security and physical security - Intrusion detection and prevention systems - Organizational, ethical, and legal issues - Privacy protection and anonymization - Risk-aware access and usage control - Analysis and management of cyber crisis - Security and risk assessment - Security and risks metrics - Security and dependability of operating systems - Security and safety of critical infrastructures - Security and privacy of peer-to-peer system - Security and privacy of wireless networks - Security in Cloud/Edge/Fog computing - Security models and security policies - Security of big data - Security of industrial control systems - Security of intelligent transportation systems - Security of e-commerce, electronic voting, and database systems - Security of new-generation networks - Security of smart cities - Security of smart grid - Security of social networks - Security of the IoT and IIoT - Security of VoIP and multimedia - Smartphone security and privacy - Traceability, metrology and forensics - Trust management - Ubiquitous computing security - Use of smart cards and personal devices for Internet applications - Virtualization security - Web and Web-service security IMPORTANT DATES ================ Submission deadline: June 15th, 2024 Notification of acceptance: July 15th, 2024 Camera-ready paper due: October 15th, 2024 PAPER SUBMISSION ================= Submitted papers must not significantly overlap with papers already published or those being concurrently submitted to a journal or conference with proceedings. Papers should be written in English and submitted electronically in PDF format. Selected papers presented at the conference will be included in the post-proceedings, to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Authors are required to revise their papers according to review comments before publication. Pre-proceedings will be available at the time of the conference. The maximum length for submissions is 16 pages for full papers and 6 pages for short papers, following the LNCS formatting guidelines. We recommend the use of LNCS Springer Overleaf Template (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer -science/kzwwpvhwnvfj#.WtR5Hy5ua71). Authors must upload their paper as PDF file using the EasyChair submission system: https://easychair.org/conferences/?conf=crisis2024 WEB SITE ======== https://crisis2024.univ-gustave-eiffel.fr GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada - Nora Cuppens, Polytechnique Montreal, Canada - Jean-Paul Mizzi, Universit? Gustave Eiffel, France - David Garcia, CESI Lineact, France PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France - Samir Ouchani, CESI Lineact, France PUBLICITY CHAIRS =============== - Slim Kallel, University of Sfax, Tunisia ORGANIZING COMMITTE ===================== - David Garcia, CESI Lineact, France - Amine Mohammed Boudouaia, CESI Lineact, France - Malika Benkhalifa, Ecole d'Ing?nieurs CESI, France - Philippe Bon, Gustave Eiffel University, France - Seddik Reguieg, Gustave Eiffel University, France - Val?rie Osmont, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France ============================= Dr. Samir Ouchani, Ing., PhD., HDR. Research Director, CESI Lineact. Aix-en-Provence, France. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Thu May 23 05:13:30 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Thu, 23 May 2024 10:13:30 +0100 Subject: Connectionists: [Jobs] [Deadline Approaching] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction Message-ID: Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health*) at Plymouth University, UK. The closing date for applications is *29**th May 2024 (**midnight, UK time) **(**The difference in tuition fees between national and international students will be waived for excellent international candidates**)*. Join our interdisciplinary team to shape the future of mental health care. *AI models like ChatGPT* fundamentally change the landscape for the automated delivery of psychological interventions. These models will likely make it possible to deliver *psychologically-informed treatment* at scale, meeting a substantial unmet need for these services. This project will develop datasets and software to deliver *Functional Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied agents (robots)*. As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare. More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-functional-imagery-training-via-generative-ai-to-improve-access-to-effective-psychological-interventions-for-health PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health at University of Plymouth jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health. Discover exciting PhD opportunities on jobs.ac.uk. 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 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 ------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From durda at ubu.es Thu May 23 05:19:57 2024 From: durda at ubu.es (=?Windows-1252?Q?DANIEL_URDA_MU=D1OZ?=) Date: Thu, 23 May 2024 09:19:57 +0000 Subject: Connectionists: CFP: Special Session under CISIS 2024 Conference - JCR-indexed journals Message-ID: CFP: Special Session under CISIS 2024 Conference - JCR-indexed journals * We apologize if you receive this CFP more than once. * PLEASE CIRCULATE this CFP among your colleagues and students. Special Session on Artificial Intelligence for Protecting the Internet of Things under the frame of the 17th International Conference on Computational Intelligence in Security for Information Systems Salamanca (Spain), 9th-11th October 2024 http://cisisconference.eu/accepted-special-sessions/ SCOPE The Internet of Things (IoT) is everywhere, with devices and networks gathering and communicating information in many different domains at present time. These comprise varied and critical environments such as industrial, health, security and domestic, among others. On the other hand, comparatively, scarce resources have been applied so far to protect such resources and communications which carry relevant and critical information. In parallel, Artificial Intelligence (AI) can nowadays be considered a consolidated technology that is being applied to a wide variety of domains, comprising the many brand-new applications that are daily proposed in the present hype. Among these domains, AI has also been successfully applied to develop virtual sensors, gain insights from sensor and/or device data, and many others. To fill the gap, this special session is aimed at presenting innovative applications of Artificial Intelligence for protecting IoT assets. ??????????????????????????????????????????????????????????? Paper submission deadline: 1st June 2024 (may be extended) ??????????????????????????????????????????????????????????? *** JOURNAL SPECIAL ISSUES *** All the accepted papers of this special session will be considered for its possible inclusion in a special issue of the following journal: * Logic Journal of the IGPL (Oxford University Press). 2023 JCR Impact Factor: 1.0 ? Q1 More journals will be announced soon. ?????????????????????- ***PAPER SUBMISSION*** CISIS 2024 proceedings will be published by Springer in a special volume of Lecture Notes in Networks and Systems (LNNS). Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All submissions will be refereed by experts in the field based on originality, significance, quality, and clarity. Every submitted paper will be reviewed by at least three members of the Program Committee. Papers must be prepared according to the LNNS style template (templates are available in http://sococonference.eu/paper-submission-publication) and must be no more than ten (10) pages long, including figures and bibliography. Additional pages (over 10 pages) will be charged 150 euros for each page. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The submission system is available at https://easychair.org/conferences/?conf=cisis2024 For further information, please visit http://cisisconference.eu/call-for-papers/ ??????????????????????? CISIS 2024 will be held in conjunction with: SOCO 2024 http://sococonference.eu ICEUTE 2024 http://iceuteconference.eu ??????????????????????? *** SESSION CHAIRS *** ?lvaro Herrero ? University of Burgos, Spain F?lix Iglesias ? TU Wien, Austria Daniel Urda ? University of Burgos, Spain Nuno Lopes - Polytechnic of C?vado and Ave, Portugal Diego Granados ? University of Burgos, Spain For more information about this special session, please refer to the webpage: http://cisisconference.eu/accepted-special-sessions/ ________________________________________________________ Dr Daniel Urda Mu?oz Escuela Polit?cnica Superior, Ed. A1 - Campus Vena Avenida de Cantabria s/n, 09006 - Burgos (Spain) UNIVERSIDAD DE BURGOS Tel?fono: (+34) 947 104067 E-mail: durda at ubu.es ________________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu May 23 11:15:41 2024 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 23 May 2024 15:15:41 +0000 Subject: Connectionists: Deadline approaching: SBP-BRiMS'2024 -- Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2024 17th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 18-20, 2024 Will be held in hybrid mode (In-person in Pittsburgh, PA, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build a community of social cyber scholars by fostering interaction among members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior in our quickly evolving social world of today. The conference values diverse disciplinary participation from the social, behavioral, physical, and computational sciences and welcomes a broad range of methodological approaches (agent-based models, online experiments, network science and social network analysis, and machine learning). All computational social science papers and panels are welcome. Some illustrative topics include: ??Social Cyber Security ??Trust in AI; Human-AI Interaction ??Blockchain and Privacy-Preserving Technologies ??Social Media Analytics and Network Science ??Online Collective Action, Social Movements, and Mob Dynamics ??Military in the Age of AI ??Cognition and Organization Theory ??Disinformation, Deepfakes, and Online Harms ??Applications (Healthcare, Economics, Government, Military, etc.) BEST PAPER AWARDS: All accepted and presented full papers will compete for Best Conference Paper Award and Best Student Paper Award. Only Student first author papers will be considered for the Best Student Paper Award. Papers will be evaluated on originality, technical merit, and significance to social-cyber applications. Winners will be announced at the conclusion of the conference and will have an opportunity to publish an extended version of their paper in the Computational and Mathematical Organization Theory (CMOT) special issue. IMPORTANT DATES: Full Paper Submission: 2-Jun-2024 Author Notification: 30-Jun-2024 Final Files Due : 14-Jul-2024 Panel/Tutorials/Working Paper due: 21-Jul-2024 Panel/Tutorial/Working Paper Notification: 4-Aug-2024 Final Files due: 1-Sep-2024 Challenge Response due: 21-Jul-2024 Challenge Notification: 4-Aug-2024 Final Files due: 1-Sep-2024 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference will have a computational challenge as in previous years. Additional details are available at the conference Challenge website: http://sbp-brims.org/2024/challenge/. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Thu May 23 23:43:15 2024 From: vladan at temple.edu (Vladan Radosavljevic) Date: Fri, 24 May 2024 03:43:15 +0000 Subject: Connectionists: 2nd CfP - AdKDD @ KDD2024 Message-ID: Call for Workshop Papers AdKDD 2024 in conjunction with The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) Barcelona, Spain, August 25th-29th, 2024 http://www.adkdd.org Important Deadlines (anywhere on Earth): Submission : June 15th, 2024 Decisions : July 1st, 2024 Camera-ready : July 8th, 2024 Video Submission: August 12th, 2024 Workshop : August 26th, 2024 Submission Website: https://easychair.org/conferences/?conf=adkdd2024 Call for Papers: In 2023, the average worldwide internet user spent on average 6.5 hours daily across all devices interacting with online content almost entirely sponsored by advertisements. At almost $700B global market size in 2024, and expected to pass $830B by 2026, digital advertising has already surpassed traditional ads in global spend and continues to grow despite economic headwinds. Digital advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads connect us to opportunities to enrich our lives and creep us out when done badly. Recently at the forefront of political battles between governments, large multinational corporations, and consumers, digital advertising remains a dynamic industry and research area. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving from simple rule-based ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences within native, video, and display formats on mobile devices, connected TV, and audio?all utilizing data amassed from petabytes of stored user data collected increasingly through inferred identity providers. The increasing use of sequence models and the rise of Generative AI is spawning new directions such as the auto-generation of ad creatives or pay-for-use shopping assistants. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of seventeen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. ? Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and increasing application of Graph-based NN and Generative AI models, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data, and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following the KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be archived on the AdKDD website, and we are also working on having them published in official proceedings as well. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Organizers: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Kuang-chih Lee (Walmart) Linsey Pang (Salesforce) Suju Rajan (Amazon) Vladan Radosavljevic (Spotify) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Thu May 23 21:00:11 2024 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Fri, 24 May 2024 01:00:11 +0000 Subject: Connectionists: Postdoc/student workshop at Washington University in St Louis Message-ID: Opportunity for postdocs and senior graduate students! The recently established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from postdocs and senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its second Computational Neuroscience Next Generation symposium, September 16-17th 2024: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for successful applicants. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity s to share your research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows), and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is June 15th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd -------------- next part -------------- An HTML attachment was scrubbed... URL: From kkpatel7 at gmail.com Fri May 24 06:48:20 2024 From: kkpatel7 at gmail.com (KK Patel) Date: Fri, 24 May 2024 16:18:20 +0530 Subject: Connectionists: [CFP] Springer icSoftComp2024: (Scopus indexed)(Hybrid conference)(Bangkok, Thailand)(2024 6th International Conference on Soft Computing and its Engineering Applications) Message-ID: Dear Dr. / Prof., Please consider contributing to and/or forwarding it to the appropriate groups the following opportunity to submit and publish original scientific results to the *2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024)**. *icSoftComp2024 is scheduled to be *December 10-12, 2024* in *Bangkok, Thailand*. The accepted and presented papers will be published as proceedings with *Springer* in their prestigious *Communications in Computer and Information Science (CCIS)* series (indexed by *Scopus*, DBLP, Ei Compendex, Google Scholar, and Springerlink). Conference series link: https://link.springer.com/conference/icsoftcomp Paper submission link: https://equinocs.springernature.com/service/icSoftComp2023 Conference website: https://www.charusat.ac.in/icSoftComp2024/ The regular paper submission is due on *June 30, 2024*. The conference will be held in a hybrid mode: in-person and online. -- Warm regards, K. K. Patel, Ph.D., Email: kanupatel.mca at charusat.ac.in Cell#: +91-8200 10 3724 ** Sincere apologies if you receive multiple copies of this CFP ** ** Please forward to anyone who might be interested ** *=============* *Call for Papers* *=============* *Springer* *2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024)* *Bangkok, Thailand **|| December 10-12, 2024* Conference website: https://www.charusat.ac.in/icSoftComp2024/ Paper submission link: https://equinocs.springernature.com/service/icSoftComp2024 *==============* *Important Notes:* *==============* - icSoftComp2024 follows a *double-blind peer review* system. - Conference proceedings by *Springer CCIS Series* (*Scopus* indexed) - Please follow the Springer CCIS format for paper submission. - Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer reviewed Scopus indexed journals. 2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024) aims to provide an excellent international forum to the researchers, academicians, students, and professionals in the areas of computer science and engineering to present their research, knowledge, new ideas and innovations. It will exhibit an exciting technical program. It will also feature high-quality Tutorials and Workshops, Industry Panels and Exhibitions, as well as Keynotes from prominent research and industry leaders. We are now open for technical paper submission, proposals for workshops/special sessions, and proposals for tutorials. Submission for the workshops/special session proposals are to be directed to the TPC Chair ( kanupatel.mca at charusat.ac.in). *======================* *Keynotes and invited talks:* *======================* - Prof. Bharat Bhargava, Purdue University, Indiana, USA - Flora Ferreira, University of Minho, Portugal - Katarzyna Turo?, Silesian University of Technology, Poland *================* *Paper Submission:* *================* Paper submissions must be made online through EquinOCS following the submission link: https://equinocs.springernature.com/service/icSoftComp2024 Authors are advised to prepare their papers according to the Springer paper formatting guidelines . Paper Template can be downloaded from the conference website. icSoftComp2024 solicits papers on all aspects of Soft computing and its engineering applications for a smart and better world. The topics of the conference include, but are not limited to the following: *Track 1: Theory and Methods* Ant colony theory Approximate reasoning Artificial Intelligence (AI) Big Data analytics Bio-inspired computing Chaos theory Cognitive science Data mining and Knowledge discovery Deep learning Digital information processing Evolutionary computing Fuzzy set theory Immunological computing Knowledge virtualization Machine learning Modelling Neural computing Probabilistic reasoning Rough sets Swarm intelligence *Track 2: Systems and Applications* Advanced intelligent systems Agent-based systems Agricultural informatics Assistive systems Autonomic and autonomous systems Bioinformatics and scientific computing Cognitive systems and applications Complex systems Computer forensics Cyber Physical Systems (CPS) Human computer integration Internet of Things (IoT) Intrusion detection and Security intelligence Mechatronics Multi-agent systems Natural language processing Network and telecommunications systems Optimization Pattern recognition Process control Remote sensing system Robotics Signal processing Time series forecasting Web intelligence *Track 3: Hybrid Techniques* Auxiliary hybridization Embedded hybridization Fuzzy-genetic approach Neuro-evolutionary computing Neuro-fuzzy computing Sequential hybridization *Track 4: Soft Computing for Smart Sustainable World* Smart cities Smart governance Smart healthcare Smart homes and buildings Smart social services Smart transportation Smart utilities Smart vehicles Smart villages *==============* *Important Dates:* *==============* Submission due: 30/06/2024 Acceptance Notification: 31/07/2024 Camera Ready Paper Submission due: According to notification Last date of registration: According to notification Conference dates: 10-12/12/2024 *================* *Paper Publication:* *================* The accepted and presented papers will be published as proceedings with Springer in their prestigious Communications in Computer and Information Science (CCIS) series. Indexed by Scopus, DBLP, Ei Compendex, Google Scholar, and Springerlink *================* *Journal Publication:* *================* Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed journals. *================== * *Organizing Committee:* *================== * Honorary Chairs - Kalyanmoy Deb, Michigan State University, MI, USA - Witold Pedrycz, University of Alberta, Alberta, Canada - Leszek Rutkowski, Czestochowa University of Technology, Poland - Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland General Chairs - Atul Patel, Charotar University of Science and Technology, India - George Ghinea, Brunel University London, UK - Dilip Kumar Pratihar, Indian Institute of Technology Kharagpur, India - Pawan Lingras, Saint Mary's University, Canada Technical Program Chairs - K. K. Patel, Charotar University of Science and Technology, India - Ashish Ghosh, Indian Statistical Institute (ISI), Kolkata, India - KC Santosh, The University of South Dakota, SD, USA - Gayatri Doctor, CEPT University, Ahmedabad, India - Gabriel Gomes de Oliveira, University of Campinas (Unicamp), Brazil - Ashis Jalote Parmar, Norwegian University of Science and Technology, Norway Please join icSoftComp WhatsApp group to get updates: https://chat.whatsapp.com/CnkrBjvMcuu1ksjQGi67Ak Charotar University of Science and Technology (CHARUSAT) (Center of Excellence by Govt. of Gujarat) (Accredited "A+" grade by NAAC, GoI) Changa, India -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrs at unibas.ch Fri May 24 11:40:26 2024 From: hrs at unibas.ch (HR Shared Services) Date: Fri, 24 May 2024 15:40:26 +0000 Subject: Connectionists: Professorship in AI and Foundation Models (open rank) Message-ID: <4d335e0e835e4d778eb03d1ddbf1269a@unibas.ch> Dear Sir or Madam We are looking for a Professorship in AI and Foundation Models (open rank). Interested applicants can apply via this link. https://career2.successfactors.eu/career?company=UNIBAS&career_ns=job_listing&career_job_req_id=5828 Best regards, HR Shared Services HR Shared Services Universit?t Basel | Vizerektorat People & Culture | Human Resources Steinengraben 5 | Postfach | 4001 Basel | Switzerland hrs at unibas.ch | www.unibas.ch This e-mail and any attachments to it may contain confidential information, which is for the sole attention and use of the intended recipient. If you are not the correct addressee or have received this email in error, please notify us immediately and delete this email. Copying and forwarding this message without consent of the sender is not permitted. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.montebelli at gmail.com Sat May 25 20:37:17 2024 From: alberto.montebelli at gmail.com (Alberto Montebelli) Date: Sun, 26 May 2024 02:37:17 +0200 Subject: Connectionists: Extended paper submission: ALife workshop "ALife in organisations" (Copenhagen - July 25, 2024 Message-ID: <4E0954F4-8D70-43CD-9D92-930748E398D4@gmail.com> Dear Connectionists community, **Extended deadline** Call for Papers for the workshop: ALife in organisations:?ALife methods in modeling and analyzing social and socio-technical ?organizations - from small and medium-sized enterprises to communities ?and whole economies. This is a joint event with ALIFE 2024 - The International Conference on Artificial Life -- Copenhagen, Denmark (July 22-26, 2024). The scope of the workshop includes, although it is not limited to, the following exemplary questions: Can the methods of Artificial Life (e.g. the simulation and analysis of relatively complex ecologies) contribute to better representing cognitive and affective aspects within social or socio-technical organizations, the individuals who constitute them, or the ones who use their services? Can synergies between modeling techniques and machine-learning-enhanced analysis promote efficient and effective allocation and use of resources by complex organizations that operate in industry, management, public administration, public health, etc.? Can modeling complex organizations in a globalized market identify the conditions for the emergence of dynamics such as competition, deception, reciprocity, collaboration, solidarity, diversity, etc., and evaluate their impact on the well-being of its symbiotic constitutive members and service users? Can systems thinking support globally sustainable operations? Can we test innovative organizational and economic models for a more balanced and ethically sound society? For more information, please visit the workshop webpage . Should you have any questions or need further details, please don't hesitate to contact us (email to alberto.montebelli at gmail.com ). Key dates: Extended paper submission deadline: June 20, 2024. Notification of acceptance: papers submitted by the initial deadline (May 26) will be reviewed by June 2, 2024 / papers submitted according to the extended deadline will be notified as soon as possible, and anyway by June 30. Workshop date: July 25, 2024. Please submit your contribution to: alifeinorg at gmail.com . We welcome your participation and look forward to hearing from you. Warm regards, The organizers: Alberto Montebelli (University of Gothenburg) Imran Khan (University of Gothenburg) Gary Linn?usson (University of Sk?vde) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Sat May 25 07:33:21 2024 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Sat, 25 May 2024 17:03:21 +0530 Subject: Connectionists: Machine Learning Challenge on Audio Deepfake Detection Message-ID: *Apologies for possible cross-posting* ============================= Dear all, We are delighted to announce that registration for participation in ASVspoof 5: Robust Speech Deepfake Detection and Automatic Speaker Verification https://www.asvspoof.org/ is now open. The registration deadline is July 10th, 2024 The challenge features two tracks: Track 1: Speech deepfake detection (DF) - "real vs fake" speech detection Track 2: Spoofing-robust automatic speaker verification (SASV) ASVspoof is a community-driven, not-for-profit challenge series which promotes the development and benchmarking of generalizable speech deepfake detection and automatic speaker verification systems intended to operate reliably in the face of spoofing attacks. The challenge data is constructed using public speech resources, and organizers provide baseline systems and reference metrics. Compared to previous challenge editions, ASVspoof 5 involves a substantially larger amount of data, enabling participants to develop more sophisticated detection models. To promote robustness, as well as the development of solutions with practical applications in the wild, ASVspoof 5 focuses on non-studio-quality speech data. How to participate? 1. Read the evaluation plan, available at www.asvspoof.org 2. Join the e-mail list: send an e-mail to sympa at lists.asvspoof.org with 'subscribe ASVspoof5' as the subject line. 3. Register: https://shorturl.at/cqrtK Timeline: - Training and development data available: May 20, 2024 - Challenge leaderboard (Codalab) opens: June 05, 2024 - Evaluation data available: June 12, 2024 - Challenge submissions due: July 17, 2024 - ASVspoof 5 workshop paper deadline: July 31, 2024 - Acceptance notifications: August 10, 2024 - ASVspoof 5 workshop at Interspeech: August 31, 2024 Please note that access to Codalab will be granted to registered participants only. Further details are available in the evaluation plan, which will be supplemented with additional details as the challenge progresses. Best regards, The ASVspoof 5 challenge organisers info at asvspoof.org -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India website: *https://sahidullahmd.github.io/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Mon May 27 04:25:58 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Mon, 27 May 2024 10:25:58 +0200 Subject: Connectionists: CfP: MACLEAN - MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2024) Message-ID: MACLEAN: MAChine Learning for EArth ObservatioN September 2024 KEY DATES Paper submission deadline: June 15, 2024 Paper acceptance notification: July 15, 2024 Paper camera-ready deadline: July 30, 2024 CONTEXT The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models. In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning. Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop?s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. TOPICS ? Supervised Classification of Multi(Hyper)-spectral data ? Supervised Classification of Satellite Image Time Series data ? Unsupervised of EO Data ? Deep Learning approaches to deal with EO Data ? Machine Learning approaches for the analysis of multi-scale EO Data ? Machine Learning approaches for the analysis of multi-source EO Data ? Semi-supervised classification approaches for EO Data ? Active learning for EO Data ? Transfer Learning and Domain Adaptation for EO Data Interpretability and explainabiilty of machine learning methods in the context of EO data analysis ? Bayesian machine learning for EO Data ? Dimensionality Reduction and Feature Selection for EO Data ? Graphicals models for EO Data ? Structured output learning for EO Data ? Multiple instance learning for EO Data ? Multi-task learning for EO Data ? Online learning for EO Data ? Embedding and Latent factor for EO Data INVITED SPEAKERS: - Matthieu Molinier, VTT Technical Research Centre of Finland, Finland Keynote Title: Improving temporal frequency of dense multispectral image time series : applications for environmental monitoring - Giuseppina Andresini & Annalisa Appice, Universit? di Bari, Italy Keynote Title: "Monitoring forest health with AI: approaches for mapping tree dieback in satellite data" SUBMISSION We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2024 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series. WORKSHOP WEBSITE: https://sites.google.com/view/maclean24 SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/ECMLPKDDWorkshops2024/Track/7/Submission/Create PC-CHAIRS Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti at cnrs.fr Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas at inrae.fr Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco at inrae.fr Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Mon May 27 03:54:38 2024 From: efipatm at gmail.com (Efi) Date: Mon, 27 May 2024 10:54:38 +0300 Subject: Connectionists: Invitation: AIDA short e-courses "Graph Neural Networks" & "Generative AI with Diffusion Models", May / June 2024 Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming short e-courses ?*Graph Neural Networks*? & ?*Generative AI with Diffusion Models?*. 1. *?Graph Neural Networks*? *by AIDA Lecturer Octavian Radu*. Host Institution: Doctoral School of Electronics, Telecommunications & Information Technology | National University of Science and Technology Politehnica Bucharest Level: Postgraduate Schedule: Online via Google Meet (the video call invitation (Google Meet) will be provided on May 27 by the lecturer), *May 29-31, 2024, 12:00-14:00 GMT* Join us and explore further: https://www.i-aida.org/course/graph-neural-networks/ Participations terms: *Free of charge* [image: ?] - *AIDA Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also fill in the Registration Form . - Students/participants *not* associated with any AIDA member can join the course by filling out the Registration Form . 2. *?Generative AI with Diffusion Models? by **Prof. Dr. Andras Hajdu and Mr. Gergo Bogacsovics*. Host Institution: Nvidia Deep Learning Institute, Faculty of Informatics, University of Debrecen, Hungary Level: Intermediate Schedule: Online, *31 May or 8 June, 2024,* *09:00-17:00 CET (UTC + 2)*. Participants will select their preferred day to attend the course. Join us and explore further: https://www.i-aida.org/course/nvidia-dli-generative-ai-with-diffusion-models/ Participation terms: *Free of charge for university students and staff* - *AIDA Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also fill in the Registration Form and select your preferred day of attendance. - Students/participants *not* associated with any AIDA member can join the course by filling out the Registration Form and selecting their preferred day of attendance. - All participants will receive an Nvidia Certificate of Competency upon successful completion of the assessment. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Mon May 27 08:48:15 2024 From: bart at ai.vub.ac.be (Bart de Boer) Date: Mon, 27 May 2024 14:48:15 +0200 Subject: Connectionists: PhD scholarship in computational modeling of the evolution of speech at Vrije Universiteit Brussel, Belgium Message-ID: <8c3542e9-56d6-4747-8fea-d554f4b66bab@ai.vub.ac.be> Dear all, The artificial intelligence lab of the Vrije Universiteit Brussel (Brussels, Belgium) is looking for candidates for a fully funded PhD position in agent-based modelling of the evolution of speech. For more information, and for information on how to apply, see the following link: https://ai.vub.ac.be/~bart/PhDs/ABM_Speech_PhD.pdf Best regards, Bart de Boer. From msmirat at gmail.com Mon May 27 17:36:23 2024 From: msmirat at gmail.com (Mohammad Alsmirat) Date: Tue, 28 May 2024 01:36:23 +0400 Subject: Connectionists: MCNA2024: VALENCIA, SPAIN (Deadline Extended) Message-ID: The International Conference on Multimedia Computing, Networking and Applications (MCNA2024) 17?20 SEPTEMBER, 2024 - VALENCIA, SPAIN CO-SPONSORED BY IEEE CONFERENCE WILL BE CONDUCTED IN HYBRID MODE https://mcna-conference.org/2024/ *Full Paper Important Dates* - Full Paper Submission: June 10, 2024 - Full Paper Acceptance Notification: July 15, 2024 - Camera Ready Submission: August 10, 2024 *About the Conference:* The multimedia landscape reflects a dynamic and ever-expanding ecosystem. Video content continued to dominate the digital realm, constituting more than 80% of global internet traffic, with YouTube standing out as a platform where users collectively upload a staggering 500 hours of video every minute. Social media platforms, including Instagram and Snapchat, showcased the power of visual communication, with users sharing over 100 million photos and 3 billion snaps daily. While specific numbers regarding virtual and augmented reality were not available, the increasing interest and investment in these technologies indicated a rising trend towards immersive multimedia experiences. Streaming services like Netflix played a pivotal role in shaping internet traffic patterns, contributing significantly to the multimedia data surge. The mobile landscape witnessed a substantial increase in data consumption, driven by users' growing penchant for multimedia content on smartphones. The total global storage for multimedia data reached the zettabyte scale, fuelled largely by the proliferation of cloud storage services. Digital photography, with billions of daily uploads, continued to be a cornerstone of online expression. User-generated content platforms and podcasts experienced exponential growth, fostering a vibrant ecosystem of multimedia content creation. As a collective force, multimedia traffic, encompassing activities like video streaming and online gaming, emerged as a key driver shaping the landscape of global internet usage. The International Conference on Multimedia Computing, Networking and Applications (MCNA) is a premier forum for researchers, practitioners, and educators to present and discuss the latest advancements, challenges, and future directions in the field of multimedia computing, networking, and applications. MCNA aims to bring together experts from academia and industry to foster collaboration, share insights, and promote innovative research in multimedia technologies. *Call for Papers:* We invite submissions of high-quality research papers addressing original and unpublished work on various aspects of multimedia computing, networking, and applications. Topics of interest include but are not limited to: Track 01: Multimedia Systems and Architectures Track 02: Image and Video Processing Track 03: Virtual and Augmented Reality Track 04: Multimedia Communication and Networking Track 05: Multimedia Security and Privacy Track 06: Machine Learning for Multimedia Track 07: Human-Computer Interaction Track 08: Multimedia Applications in Healthcare, Education, and Entertainment Track 09: Multimedia Big Data Analytics Track 10: Multimedia Content Analysis and Retrieval *Submissions Options:* Authors can submit their work in different formats as follows: *Full Paper* Papers are 6 to 8 pages and should be registered by at least one none-student author. *Workshop Paper* Papers are 6 to 8 pages submitted to one of the workshops (all papers will be included in the same proceedings) and should be registered by at least one non-student author. *Student Paper* MCNA offers a distinctive platform for students at all academic levels involved in diverse multimedia disciplines to showcase their continuous technical work and innovative ideas. This occasion fosters meaningful interactions, enabling participants to receive valuable feedback and suggestions from esteemed researchers in the field. Moreover, the symposium aims to cultivate a global community of supportive multimedia students, fostering social and intellectual engagement among students, researchers, and professionals from academia, industry, and government. Students at any academic level are encouraged to submit a concise paper (up to 4 pages) summarizing their technical work, which may include ongoing research or a technical project. Submissions will undergo thorough review by a program committee, and accepted papers will be presented by the students during oral or poster sessions (to be determined upon acceptance). The paper should be authored solely by the student(s) and their supervisor. Student registration (a reduced registration) will suffice to cover this submission track if a student author is the attending individual. Submission Site: https://easychair.org/conferences/?conf=mcna2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 28 01:09:22 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 28 May 2024 07:09:22 +0200 Subject: Connectionists: CFP 13 th Int. Conf. on Complex Networks & Their Applications 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 You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy *TUTORIALS (December 09, 2024)* ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands *PUBLICATION* 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)* Extended versions will be invited for publication in *special issues of international journals:* o PLOS Complex Systems edited by PLOS . o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Entropy edited by MDPI o Advances in Complex Systems edited by World Scientific o Complex Systems Journal *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* *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 *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) 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 cgf at isep.ipp.pt Mon May 27 20:38:09 2024 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 28 May 2024 01:38:09 +0100 Subject: Connectionists: CFP: SoGood 2024 - ECML-PKDD Workshop on Data Science for Social Good Message-ID: <4d4d9c29-c1ef-4336-b2bc-094bae04af26@isep.ipp.pt> ================= Call for Papers SoGood 2024 ? 9th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2024, 9-13 September, Vilnius, Lithuania, https://ecmlpkdd.org/2024/ Workshop site: https://sites.google.com/view/sogood-2024/home ================= The possibilities of Data Science for contributing to the social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models", or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of the social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: - Government transparency and IT against corruption - Public safety and disaster relief - Access to food, water, sanitation and utilities - Efficiency and sustainability - Climate change - Data journalism - Social and personal development - Economic growth and improved infrastructure - Transportation - Energy - Smart city services - Education - Social services, unemployment and homeless - Healthcare and well-being - Support for people living with disabilities - Responsible consumption and production - Gender equality, discrimination against minorities - Ethical issues, fairness, and accountability - Trustability and interpretability - Topics aligned with the UN development goals We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly "non-profit" but have Social Good as their main focus. ================= Important Dates: There will be an award for the best paper. - Submission deadline: 15 June 2024 - Acceptance notification: 15 July 2024 - Camera-ready deadline: 1 September 2024 ================= Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2024 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions. ================= Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From marcella.cornia at unimore.it Tue May 28 04:37:17 2024 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Tue, 28 May 2024 10:37:17 +0200 Subject: Connectionists: [CFP] International Workshop on FashionAI (in conjunction with ECCV 2024) Message-ID: ******************************** Call for Papers FashionAI: Exploring the Intersection of Fashion and Artificial Intelligence for Reshaping the Industry International Workshop at ECCV 2024 https://sites.google.com/view/fashionai2024 ******************************** === Submission Deadline: July 12, 2024 ==== (11:59 p.m. CET) Apologies for multiple posting Please distribute this call to interested parties AIMS AND SCOPE =============== The fashion domain is entering a transformative era marked by both opportunities and challenges that are closely linked to the integration of generative AI and computer vision solutions, with a strong focus on both research and technology transfer. These challenges, which range from the automation of complex design processes to the personalization of customer experiences and the optimization of supply chains, are not unique to any single company but are shared by the entire spectrum of companies operating in the luxury fashion sector. They also resonate deeply within the computer vision community, where ongoing research and development are pushing the limits of what is possible with fashion AI. This workshop is designed to be a central platform for presenting the latest advances in addressing these common challenges. More importantly, it aims to establish a dedicated fashion AI community. Such a community is conceived as a collaborative network of AI researchers, fashion designers, industry practitioners, and technology innovators. Its purpose is to foster ongoing dialogue, exchange of ideas, and collaborative projects that not only address current challenges but also anticipate and prepare for future trends. By encouraging open communication and collaboration, the workshop aims to create a synergy that leverages the strengths of both the AI and fashion sectors. TOPICS ======= The workshop calls for submissions addressing, but not limited to, the following topics: - Style and Product Recommendation - Cross-Domain Visual Search for Fashion - Visual Size and Fit Advice - Garment Classification and Retrieval - Virtual Try-On - Body Shape Prediction - Automatic Article Tagging - Trend Analysis and Forecasting - Personal Shopping Assistants - Efficient Methods for Fashion Search - Fashion Analysis in Videos - Generative Design Algorithms with Humans in the Loop - Creative Visual Content Generation for Fashion - Clothing Landmark Estimation - Application of LLMs and Multimodal LLMs to Fashion IMPORTANT DATES ================= - Paper Submission Deadline: July 12, 2024 - Decision to Authors: August 10, 2024 - Camera ready papers due: August 31, 2024 SUBMISSION GUIDELINES ====================== Papers should be submitted at: https://cmt3.research.microsoft.com/FashionAI2024. At the time of submission, authors must indicate the type of the paper: - Regular papers: will be peer-reviewed following the same policy of the main conference and will be published in the ECCV workshop proceedings. These are meant to present novel contributions not published previously (submitted papers should not have been published, accepted, or under review elsewhere). - Presentation papers: are meant for papers that are currently under review or have been already accepted for publication previously, preferably in the last year, in some major conferences or journals. These papers will undergo a soft-reviewing process by the chairs to assess their suitability for the workshop topics. These will not appear in the proceedings. All papers (both regular and presentation) must be prepared according to the ECCV guidelines, with a maximum of 14 pages plus unlimited pages for references. Regular papers will be reviewed by at least two reviewers with double-blind peer-review policy. Presentation papers do not need to be anonymized. Manuscripts must be submitted as pdf documents following using the ECCV main conference templates available at: https://eccv2024.ecva.net/Conferences/2024/SubmissionPolicies. ORGANIZING COMMITTEE ====================== - Rita Cucchiara, University of Modena and Reggio Emilia, Italy - Emanuele Frontoni, University of Macerata, Italy - Marcella Cornia, University of Modena and Reggio Emilia, Italy - Marina Paolanti, University of Macerata, Italy -- *Marcella Cornia*, PhD Tenure-Track Assistant Professor (RTD-B) Dipartimento di Educazione e Scienze Umane Universit? degli Studi di Modena e Reggio Emilia e-mail: marcella.cornia at unimore.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.legenstein at igi.tugraz.at Tue May 28 11:13:38 2024 From: robert.legenstein at igi.tugraz.at (Robert Legenstein) Date: Tue, 28 May 2024 17:13:38 +0200 Subject: Connectionists: Open PhD position - Brain-inspired computing and Spiking Neural Networks Message-ID: The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/igi/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/c979f4bb-8292-a539-ff62-6627a4de2995 -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- From emergingtechnetwork.publicity at gmail.com Tue May 28 18:17:01 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 29 May 2024 01:17:01 +0300 Subject: Connectionists: ICCNS2024 CFP (Hybrid Conference Co-Sponsored by IEEE): The International Conference on Intelligent Computing, Communication, Networking and Services, Dubrovnik, Croatia. Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024) Hybrid Event https://iccns-conference.org/2024/index.php 24-27 Sept. 2024 | DUBROVNIK, CROATIA. Technically Co-Sponsored by IEEE Croatia section *ICCNS 2024 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedent services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: June 15, 2024 (Extended) * - Notification of acceptance: August 5, 2024 - Camera-ready Submission: August 25, 2024 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Tue May 28 11:20:34 2024 From: publicity at acsos.org (ACSOS Publicity Chairs) Date: Tue, 28 May 2024 12:20:34 -0300 Subject: Connectionists: ACSOS 2024 - CFP Doctoral Symposium Message-ID: <0CBAD17F-1A12-4BD6-A9DF-E7605697F0A2@acsos.org> ****** ACSOS 2024 - CFP Doctoral Symposium ****** 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems 16-20 September 2024 - Aarhus University (AU), Aarhus, Denmark https://2024.acsos.org/ https://twitter.com/ACSOSconf *************************************************** The fifth IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) provides a forum to share the latest research results, ideas, and experiences in autonomic, self-adaptive, and self-organizing systems. ACSOS was founded in 2020 as a merging of the two long-running IEEE ICAC and SASO conferences, bringing together the two leading communities in this research space. The Doctoral Symposium provides an opportunity for PhD students to present their research and ideas, and network with the ACSOS community, consisting of a diverse audience of both leading experts and early career researchers in the field. The Doctoral Symposium not only offers early career researchers a chance to gain experience in presenting to an international audience but also to receive invaluable feedback about their work from members of the ACSOS community. PhD students are invited to submit a two-page abstract, with another page for references. The abstract should describe the key motivation of their research, the major contribution (either actual or expected, depending on the research stage), the research methodology, and the current status of the work. Authors of accepted papers will have the opportunity to present their work both at the Doctoral Symposium and in brief at the main conference itself, offering a vast audience for their research. PhD students are also invited to produce a poster to summarise their current work, for presentation at the Doctoral Symposium. Students at any stage of their PhD are welcome to submit. Reviews, feedback, and expectations will be adapted appropriately to the relative stage of each submission. **** Mentoring Program **** As in prior years, the Doctoral Symposium will employ a mentoring program in which every author of an accepted paper will be paired with an experienced mentor from the community. Mentors will help introduce the students to the community, offer extended discussions of their research objectives and career opportunities, and host their students throughout the event to help them gain the best experience from an international conference. Additionally, the Doctoral Symposium will incorporate activities to give participants a chance to interact with different members of the community at different stages of their careers in academia and industry. **** Important Dates **** Paper Submission Deadline: July 1st, 2024 Notification to Authors: July 22nd, 2024 Camera Ready Deadline: August 5th, 2024 ACSOS conference: September 16th - 20th, 2024 **** Symposium Organisers **** Sona Ghahremani, Hasso Plattner Institute at Potsdam University Monica Vitali, Politecnico di Milano More information: https://2024.acsos.org/track/acsos-2024-doctoral-symposium -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Tue May 28 09:31:57 2024 From: efipatm at gmail.com (Efi) Date: Tue, 28 May 2024 16:31:57 +0300 Subject: Connectionists: Invitation: Summer School "CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024", 27-29 August 2024, Thessaloniki, Greece. Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the Artificial Intelligence and Information Analysis (AIIA ) Lab of Aristotle University of Thessaloniki (AUTH) in cooperation with (TEMA) R&D project, the International AI Doctoral Academy (AIDA ), is excited to invite you to register and attend the upcoming ?CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024 ? which will take place in Thessaloniki, Greece from August 27th to 29th 2024. This Summer School offers a three-day short course that delivers an in-depth exploration of programming tools and techniques for addressing a variety of computer vision and deep learning challenges. The course focuses on the fundamentals of deep learning and its applications in Natural Disaster Management. Here's a glimpse of what the course entails: - Deep neural networks ? Convolutional NNs - 2D Object Tracking in Embedded Systems - Real Time Object Detection. - Real-Time Image Segmentation. - Natural Language Processing. - Explainability in Computer Vision applications. Additionally, hands-on programming workshops will be conducted on each topic, providing participants with practical experience and skills enhancement. *Details* *Host Institution*: *Aristotle University of Thessaloniki* *27, 28, 29 August 2024, 08:30 - 16:30 EEST (UTC + 3 hours)* *On-site Participation: **KEDEA* * Building, AUTH, Thessaloniki, Greece * *General Registration* Early registration (till 15/07/2024) Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed to register. *Special Registration for AIDA Students** On top of the above registration, also enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the program. *AIDA Students are PhD students/candidates or Postdoc researchers belonging to any AIDA member . Upon successful completion of the course, participants will receive a *certificate of attendance* issued by Aristotle University of Thessaloniki. *For more details, please visit*: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/ This summer school is technically sponsored by TEMA , AI.BIG Cluster , AIDA , AI4Media R&D projects. School Organizer: Prof. Ioannis Pitas Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece [image: 1.jpg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1.jpg Type: image/jpeg Size: 244389 bytes Desc: not available URL: From pkoprinkova at yahoo.com Wed May 29 03:34:38 2024 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Wed, 29 May 2024 07:34:38 +0000 (UTC) Subject: Connectionists: AIMSA 2024: deadline extended References: <854668225.5479426.1716968078605.ref@mail.yahoo.com> Message-ID: <854668225.5479426.1716968078605@mail.yahoo.com> Dear Colleagues, Due to many requests the deadline for submissions to the 19th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2024) was extended until May 31. More information about the conference can be found here:?https://www.aimsaconference.org/ On behalf of AIMSA Local Organizing CommitteePetia Koprinkova-Hristova -------------- next part -------------- An HTML attachment was scrubbed... URL: From alinepaes at ic.uff.br Wed May 29 10:41:28 2024 From: alinepaes at ic.uff.br (Aline Paes) Date: Wed, 29 May 2024 11:41:28 -0300 Subject: Connectionists: [CFP] 34th Brazilian Conference on Intelligent Systems (BRACIS 2024) Message-ID: ####################################################################### Call For Papers - BRACIS 2024 - 34th Brazilian Conference on Intelligent Systems ####################################################################### *TL;DR:* BRACIS 2024 Call for Papers - The 34th Brazilian Conference on Intelligent Systems (BRACIS) will be held in Bel?m, Brazil, from November 17-21, 2024. This is Brazil's primary AI and CI event. It invites the submission of research papers on various AI topics. Please visit the website for more information about the location and venue. *Key dates: submission by June 13,* *2024; notifications by August 10, 2024; and camera-ready copies by August20, 2024*. The conference features a double-anonymous review process and introduces four tracks, including a new "Published Papers in Top Venues" track. Best papers may be invited for special issue publications. Submissions are via JEMS . More details are as follows. ################################################################### The Program Committee of the 34th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Bel?m, PA, Brazil. **First edition in the North Region** from November 17th to 21st, 2024. BRACIS is the most important event in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). BRACIS, which previously had 12 editions, will now be recognized as the 34th edition when considering its history and the 21 editions of SBIA. The 34th BRACIS plays a pivotal role in AI in Brazil, serving as a hub for promoting theoretical concepts and applications in Artificial and Computational Intelligence. The event fosters a space for exchanging scientific ideas among researchers, practitioners, scientists, and engineers working toward advancing Artificial and Computational Intelligence science. This aligns with the goals of other major international conferences proposed in a similar period in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS (formerly called NIPS). The 33 previous editions of BRACIS highlight the pioneering of the Brazilian AI Community. **Please note that this year, we are inaugurating the track submissions.See further details in the Submission Details section. ** IMPORTANT DATESa - Paper submission - June 13th, 2024 - AoE* - Notification to authors - August 10th, 2024. - Camera-ready copy due - August 20th, 2024. SPECIAL ISSUES Authors of the best papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS Please note that the BRACIS submission is double-anonymous. This means that both the reviewer and author's identities and institutions are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. If you have published a non-anonymous version of your paper online before paper submission (e.g. arXiv), you can send an anonymous version to the conference. No references to the non-anonymous version should appear in the anonymous version, and you should inform the PC chairs that there is a non-anonymous version. You cannot update the online version nor publish information regarding the work on social media during the paper review period, as it can compromise the double-double-anonymous review process. We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub < or in a Dropbox folder). Submitted papers must be written in English and be at most 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at ConferenceProceedings guidelines . Springer's proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. For each accepted paper, at least one author must register for the conference and present the paper at the conference venue. Submissions must be made online using JEMS . ** ATTENTION - About the use of LLMs ** Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or similar LLMs do not meet the article authorship criteria for BRACIS 2024. However, we encourage articles that describe research on or involving such advanced AI models and tools. Authors who use an LLM in any part of the article writing process take full responsibility for all content, including checking for plagiarism and correcting all text. We suggest that this use be properly mentioned in the Acknowledgments section, with no harm in the evaluation process. ***** Tracks submission: New in this edition **** This year, BRACIS will have four tracks: 1. Main track: original works showing novel AI methods with sound results. 2. AI applications for Social Good: original works presenting novel Social Good applications using established AI methods. 3. General applications: original works presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. 4. Published papers: papers published in top AI conferences or journals in 2023 or 2024 (as a guide, consider the international rankings CS Metrics and CS rankings by selecting AI area or subareas; others can also be considered). Tracks 1-3 will have no distinction regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 1-page extended abstract (without references) that does not violate the copyright of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference. TOPICS OF INTEREST Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning - Commonsense Reasoning - Model-Based Reasoning - Probabilistic Reasoning, and Approximate Reasoning - Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering using AI - Combinatorial and Numerical Optimization - Computer Vision - Education for AI and AI for Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Large Language Models - Human-centric AI - Generative AI - Ethics in AI GENERAL CHAIR Andr? Ponce (ICMC/USP) PROGRAM CHAIRS Aline Paes (IC/UFF) Filipe A. N. Verri (IEC/ITA) ------------------------------------------------------------------------------------------------- *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-E 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 wanling.cai at tcd.ie Wed May 29 13:52:05 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 29 May 2024 17:52:05 +0000 Subject: Connectionists: ACM UMAP 2024 | Tutorials & Registration Message-ID: * We apologize if you receive multiple copies of this email * * Online version (registration): https://www.um.org/umap2024/registration/ * Online version (tutorials): https://www.um.org/umap2024/tutorials/ ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 There?s still time to register for UMAP 2024 Conference! - Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz *This year, UMAP 2024 will include 5 tutorials:* *Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives* Several efforts in Europe (e.g., the AI Act) and beyond have highlighted the significance of regulating AI technology, which has substantial implications for research and development in the areas of user modelling and recommender systems. It particularly requires actions to enhance the trust of various stakeholders in the processes and outcomes of corresponding R&D activities. This 90-minute tutorial will address these implications from both technical and regulatory perspectives. It will provide an interdisciplinary overview of recent regulations, with a specific focus on the core areas of (1) fairness and non-discrimination, (2) privacy and security, and (3) transparency and explainability. The tutorial will empower its audience with a deep understanding of the social and ethical consequences of their work, and of recent ethical guidelines and regulatory frameworks addressing the aforementioned dimensions. It will discuss relevant research and offer practical examples that address the aforementioned trustworthiness aspects. Furthermore, it will demonstrate how new regulations impact the daily work of the audience. * Website: https://socialcomplab.github.io/Trustworthy-UMAP-Tutorial-24/ *Collaborative Team Recommendation for Skilled Users: Objectives, Techniques, and New Perspectives* Collaborative team recommendation involves selecting users with certain skills to form a team who will, more likely than not, accomplish a complex task successfully. To automate the traditionally tedious and error-prone manual process of team formation, researchers from several scientific spheres have proposed methods to tackle the problem. In this tutorial, while providing a taxonomy of team recommendation works based on their algorithmic approaches to model skilled users in collaborative teams, we perform a comprehensive and hands-on study of the graph-based approaches that comprise the mainstream in this field, then cover the neural team recommenders as the cutting-edge class of approaches. Further, we provide unifying definitions, formulations, and evaluation schema. Last, we introduce details of training strategies, benchmarking datasets, and open-source tools, along with directions for future works. * Website: https://fani-lab.github.io/OpeNTF/tutorial/umap24/ *DECI: Designing Effective Conversational Interfaces* The rise in popularity of conversational agents has enabled humans to interact with machines more naturally. There is a growing familiarity among people with conversational interactions mediated by technology due to the widespread use of mobile devices and messaging services. Over half the population on our planet has access to the Internet with ever-lowering barriers to accessibility. Though text modality is a dominant way to implement CUIs today, foundational AI models enable the implementation of multimodal CUIs using voice and visual modality. Adopting visual and auditory cues in addition to text-based responses provides an engaging user experience, specifically in complex scenarios like health guidance, and job interviewing, among others. This tutorial will present a review of state-of-the-art research and best practices on building and deploying multimodal CUIs and synthesize the open research challenges in supporting such CUIs. The tutorial will also showcase the benefits of employing novel conversational interfaces in the domains of human-AI decision-making, health and well-being, information retrieval, and crowd computing. We will discuss the potential of conversational interfaces in facilitating and mediating the interactions of people with AI systems. * Website: https://sites.google.com/view/decitutorial *Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends* The tutorial is designed to act as a detailed guide through the evolving field of user modeling research, highlighting the significant changes that have recently reshaped this area of study. We provide an overview of the vast and continuously expanding areas of user modeling and profiling, covering both their historical development and technical aspects. Our goal is to clarify the meanings of each crucial term in this field, thereby reducing misunderstandings and misinterpretations. At the heart of our tutorial, we will delve into the significant paradigm shifts witnessed in the last few years, primarily driven by advances in technology, along with the latest research trends and innovative directions in the domain. We explore and elaborate on progress in areas such as user behavior modeling, user representation, and beyond-accuracy perspectives. Throughout the presentation, we intend to actively involve the audience in discussions to promote an interactive and engaging learning experience. * Website: https://link.erasmopurif.com/tutorial-umap24 *Mastering Mind and Movement. ACM UMAP 2024 Tutorial on Modeling Intelligent Psychomotor Systems (M3 at ACM UMAP 2024)* Research in the psychomotor field to provide personalization support to users represents several research challenges. The objective of the M3 at ACM UMAP 2024 tutorial is to provide all level researchers of the UMAP community with methodologies, tools and techniques to model complex psychomotor behaviours that can later personalize learning support in realms like sports, physical education or for rehabilitation purposes, providing insights into data gathering from activities that involve human movements. In the M3 tutorial we will focus on how to take advantage of a learning analytics platform to support data engineering processes applied to the psychomotor domain, thus allowing for a practical and guided experience to the tutorial participants. Participants will engage in hands-on activities, recording specific movements and learning how to capture human body keypoints and model psychomotor learning. * Website: https://phyum.uned.es/m3umap24/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From joseph.lizier at sydney.edu.au Wed May 29 19:19:20 2024 From: joseph.lizier at sydney.edu.au (Joseph Lizier) Date: Wed, 29 May 2024 23:19:20 +0000 Subject: Connectionists: Information theory workshop at CNS*2024 -- call for contributed talks Message-ID: <879c12c4-2555-40bd-9f5d-281249aae586@sydney.edu.au> Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at the 33rd Annual Computational Neuroscience Meeting (CNS*2024 conference), in Natal, Brazil. The workshop will be held during sessions over the final day of the main conference, July 24, 2024. Our confirmed speakers so far include the following: * Patricio Orio, University of Valpara?so, Chile * Marilyn Gatica, Northeastern University London, UK * ... more TBA! We would like to call for contributions of talks. If you are interested in contributing a talk, please send a title and abstract to Marilyn Gatica (marilyn.gatica at nulondon.ac.uk) and Joseph Lizier (joseph.lizier at sydney.edu.au). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2024 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2024itw for more details. We hope you will join us there! Organising Committee: Marilyn Gatica (chair) Joseph Lizier (co-chair) Abdullah Makkeh Michael Wibral Pedro Mediano -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Wed May 29 19:24:22 2024 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Thu, 30 May 2024 00:24:22 +0100 Subject: Connectionists: Registration and Abstract submission - Second edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 26-28 September 2024 Message-ID: Dear colleague, (Apologies for the mass email and cross posting) The second edition of the *Seeing and Acting Workshop (SAW)* is approaching fast, and registration and poster submission are now open! SAW will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 26-28, 2024* in Coimbra, Portugal. For the second edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: ? *Chris Baker*, National Institute of Mental Health, USA ? *Paolo Bartolomeo*, Paris Brain Institute, France ? *Marlene Behrmann*, University of Pittsburgh, USA ? *Jody Culham*, Western University, Canada ? *Roland Fleming*, Giessen University, Germany ? *Liuba Papeo*, Institute of Cognitive Sciences Marc Jeannerod, France ? *Hans Op de Beeck*, KU Leuven, Belgium The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 31, 2024*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by ANT Neuro. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2024/ Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 31, 2024 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pav?o Martins [image: saw24 (1).jpeg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: saw24 (1).jpeg Type: image/jpeg Size: 1036407 bytes Desc: not available URL: From pkoprinkova at yahoo.com Thu May 30 03:30:17 2024 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Thu, 30 May 2024 07:30:17 +0000 (UTC) Subject: Connectionists: Final deadline extension of AIMSA 2024 In-Reply-To: <854668225.5479426.1716968078605@mail.yahoo.com> References: <854668225.5479426.1716968078605.ref@mail.yahoo.com> <854668225.5479426.1716968078605@mail.yahoo.com> Message-ID: <1384450138.5987687.1717054217953@mail.yahoo.com> Dear Colleagues, Due to many requests the deadline for submissions to the 19th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2024) was extended until June 15. More information about the conference can be found herehttps://www.aimsaconference.org/ On behalf of AIMSA Local Organizing CommitteePetia Koprinkova-Hristova -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.gleeson at ucl.ac.uk Thu May 30 09:26:59 2024 From: p.gleeson at ucl.ac.uk (Padraig Gleeson) Date: Thu, 30 May 2024 14:26:59 +0100 Subject: Connectionists: Postdoctoral position on modelling C. elegans for OpenWorm project at University College London Message-ID: - Apologies for cross postings - Applications are open now for a 3 year postdoctoral position (Research Fellow / Senior Research Fellow) at University College London in the lab of Padraig Gleeson (https://openneuroai.org). The successful applicant will contribute to the goals of the OpenWorm project, to create a cell by cell model of the nematode C. elegans incorporating its full neuronal network and a 3D body/environment simulation (https://openworm.org). The role will involve contributing to existing and creating new software packages which facilitate the goals of the OpenWorm project. It will also involve carrying out research into the physiology, anatomy and behaviour of C. elegans, to ensure the simulations are biologically realistic. Code will be open source from the start and active interaction with the community of researchers in this area will be required. The ideal candidate will have a PhD in neuroscience or a related field, and experience in developing open source tools for investigating (neuro)biological function, a publication record demonstrating the use of such tools in original scientific research, and an active interest in making their research accessible to the wider community. For appointment to Grade 8 (Senior Research Fellow), the candidate will have substantial postdoctoral experience, a strong publication track record in this area, evidence of the ability to sustain independent research, and an established reputation in their field as a proponent of open science. UCL is Europe's research powerhouse in neuroscience, with more than twice as many publications and citations as any other European institution, based right in the heart of London. It is one of the best international environments to carry out neuroscience research. Please contact p.gleeson at ucl.ac.uk for more details or questions related to the role. The position is funded for 3 years as part of an EPSRC Open Fellowship grant. The closing date for applications is 19th June 2024. Apply here , including a cover letter stating why you are the ideal candidate for the role. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson at ucl.ac.uk ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu May 30 11:39:16 2024 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 30 May 2024 15:39:16 +0000 Subject: Connectionists: NEURAL NETWORKS, June 2024 Message-ID: Neural Networks - Volume 174, June 2024 https://www.journals.elsevier.com/neural-networks An elastic competitive and discriminative collaborative representation method for image classification Jian-Xun Mi, Jianfei Chen, Shijie Yin, Weisheng Li Source-free unsupervised domain adaptation: A survey Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing Zhongqi Lin, Linye Xu, Zengwei Zheng Structure-aware contrastive hashing for unsupervised cross-modal retrieval Jinrong Cui, Zhipeng He, Qiong Huang, Yulu Fu, ... Jie Wen An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph Xin Mei, Libin Yang, Zuowei Jiang, Xiaoyan Cai, ... Shirui Pan ARPruning: An automatic channel pruning based on attention map ranking Tongtong Yuan, Zulin Li, Bo Liu, Yinan Tang, Yujia Liu Multi-view graph pooling with coarsened graph disentanglement Zidong Wang, Huilong Fan MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song SecureNet: Proactive intellectual property protection and model security defense for DNNs based on backdoor learning Peihao Li, Jie Huang, Huaqing Wu, Zeping Zhang, Chunyang Qi DWSSA: Alleviating over-smoothness for deep Graph Neural Networks Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, ... Yang-Geng Fu Tolerant Self-Distillation for image classification Mushui Liu, Yunlong Yu, Zhong Ji, Jungong Han, Zhongfei Zhang Attention-based investigation and solution to the trade-off issue of adversarial training Changbin Shao, Wenbin Li, Jing Huo, Zhenhua Feng, Yang Gao Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, ... Wenzhong Guo RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation Dongzi Wang, Fangwei Zhong, Minglong Li, Muning Wen, ... Adam Yang Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks Zhengyang Shen, Yeqing Qiu, Jialun Liu, Lingshen He, Zhouchen Lin Generalization analysis of deep CNNs under maximum correntropy criterion Yingqiao Zhang, Zhiying Fang, Jun Fan FE-Net: Feature enhancement segmentation network Zhangyan Zhao, Xiaoming Chen, Jingjing Cao, Qiangwei Zhao, Wenxi Liu Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction Shidong Chen, Baoquan Zhang, Xutao Li, Yunming Ye, Kenghong Lin Multi-level feature fusion and joint refinement for simultaneous object pose estimation and camera localization Junyi Wang, Yue Qi A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu Modeling failures in smart grids by a bilinear logistic regression approach Enrico De Santis, Antonello Rizzi Geometry-driven self-supervision for 3D human pose estimation Geon-Jun Yang, Jun-Hee Kim, Seong-Whan Lee A self-supervised network for image denoising and watermark removal Chunwei Tian, Jingyu Xiao, Bob Zhang, Wangmeng Zuo, ... Chia-Wen Lin PDE-LEARN: Using deep learning to discover partial differential equations from noisy, limited data Robert Stephany, Christopher Earls Contrastive representation learning on dynamic networks Pengfei Jiao, Hongjiang Chen, Huijun Tang, Qing Bao, ... Huaming Wu Multi-agent Continuous Control with Generative Flow Networks Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, ... Chao Wu Goal-oriented inference of environment from redundant observations Kazuki Takahashi, Tomoki Fukai, Yutaka Sakai, Takashi Takekawa Distribution-free Bayesian regularized learning framework for semi-supervised learning Jun Ma, Guolin Yu Set stabilization of logical control networks: A minimum node control approach Jiayang Liu, Lina Wang, Amol Yerudkar, Yang Liu BAGAIL: Multi-modal imitation learning from imbalanced demonstrations Sijia Gu, Fei Zhu Exploring sparsity in graph transformers Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, ... Bo Du Cosine convolutional neural network and its application for seizure detection Guoyang Liu, Lan Tian, Yiming Wen, Weize Yu, Weidong Zhou On the approximation of bi-Lipschitz maps by invertible neural networks Bangti Jin, Zehui Zhou, Jun Zou Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks Demetrio Labate, Ji Shi Adaptive Relation-Aware Network for zero-shot classification Xun Zhang, Yang Liu, Yuhao Dang, Xinbo Gao, ... Ling Shao Communication-efficient distributed cubic Newton with compressed lazy Hessian Zhen Zhang, Keqin Che, Shaofu Yang, Wenying Xu Functional loops: Monitoring functional organization of deep neural networks using algebraic topology Ben Zhang, Hongwei Lin A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu Effects of impulse on prescribed-time synchronization of switching complex networks Qian Tang, Shaocheng Qu, Chen Zhang, Zhengwen Tu, Yuting Cao Finite-time guarantee-cost consensus control of second-order multi-agent systems based on sampled-data event-triggered mechanisms Yuejie Yao, Yiping Luo, Jinde Cao Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks Ning Zhao, Dongke Zhao, Yongchao Liu Adversarial pair-wise distribution matching for remote sensing image cross-scene classification Sihan Zhu, Chen Wu, Bo Du, Liangpei Zhang Adaptive selection of local and non-local attention mechanisms for speech enhancement Xinmeng Xu, Weiping Tu, Yuhong Yang CTF-former: A novel simplified multi-task learning strategy for simultaneous multivariate chaotic time series prediction Ke Fu, He Li, Xiaotian Shi Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging Xinran Qin, Yuhui Quan, Hui Ji PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng Multi-tailed vision transformer for efficient inference Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu Memristor-based circuit design of episodic memory neural network and its application in hurricane category prediction Qiuzhen Wan, Jiong Liu, Tieqiao Liu, Kunliang Sun, Peng Qin -------------- next part -------------- An HTML attachment was scrubbed... URL: From lrubchin at iu.edu Thu May 30 18:55:40 2024 From: lrubchin at iu.edu (Rubchinsky, Leonid L) Date: Thu, 30 May 2024 22:55:40 +0000 Subject: Connectionists: Late-breaking poster abstract submission for the 33rd Annual Computational Neuroscience Meeting CNS*2024 In-Reply-To: References: Message-ID: Dear Colleagues, We are inviting abstracts for the late-breaking poster-only presentations at the 33rd Annual Computational Neuroscience Meeting CNS*2024. The meeting will be held on July 20-24 in Natal, Brazil. The deadline to submit a late-breaking poster abstracts is June 18. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2024-registration Abstract submission: https://www.cnsorg.org/cns-2024-abstract-submission CNS*2024 information: https://www.cnsorg.org/cns-2024 We would also like to let you know that we were advised that earlier Brazilian government's plan to require visas for for US, Canadian, and Australian citizens has been delayed until 2025. Citizens of these these and many other countries do not need to obtain a visa in advance of their travel (see https://www.cnsorg.org/cns-2024-travel-and-visa-information). With kind regards, Leonid Rubchinsky OCNS Vice President, on behalf of the OCNS Board of Directors *********************** 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 *********************** From joe at selfmotion.net Thu May 30 22:10:46 2024 From: joe at selfmotion.net (Joe Monaco) Date: Thu, 30 May 2024 22:10:46 -0400 Subject: Connectionists: =?utf-8?q?Embodied_NeuroAI_Panel_at_BRAIN_Initiat?= =?utf-8?q?ive_Conference_=E2=80=94_June_18th?= Message-ID: <4ac4abf9-7c53-47fc-a51f-00f395d1f674@app.fastmail.com> Dear Colleagues, The NIH BRAIN Initiative is holding an upcoming special session entitled ?BRAIN and the Future of Computing: Embodied NeuroAI Perspectives? on *Tuesday June 18th at 11:15am ET *at the 10th Annual BRAIN Initiative Conference . Over the last 10 years, the BRAIN Initiative has spearheaded new tools and large-scale data to understand the brain. In this exciting discussion panel, BRAIN will kick off the conversation about exciting new directions at the intersection of neuroscience and AI research. Register to attend virtually or in-person at https://brainmeeting.swoogo.com/2024/begin. In-person registration ends on *Friday May 31*. _What:_ A symposium panel and discussion on NeuroAI research at the 2024 BRAIN Initiative Conference. _When:_ Tuesday June 18, 2024 from 11:15am to 12:15pm ET. _Where:_ Attend virtually or in-person at the White Flint Amphitheater, North Bethesda Marriott Hotel (5701 Marinelli Rd, Rockville, MD 20852). All BRAIN Initiative Conference information can be found at https://brainmeeting.swoogo.com/2024/home. _Why:_ Solving core shared problems in understanding brains and AI could reveal fundamental principles of cognition, behavior, and new paradigms of efficient brain-inspired computing for health and technology. This panel will discuss critical questions including the brain-body basis of intelligent behavior, and how AI and neuroscience can best work together. _Who:_ *Tony Zador*, Cold Spring Harbor Lab (Moderator): ?Towards an embodied Turing test?. *Henry Yin*, Duke University: ?Basal ganglia, analog computing, and neural control for flexible robotics?. *Kim Stachenfeld*, Google DeepMind & Columbia: ?Deep learning for physical simulation and graph neural network approaches?. *Gina Adam*, George Washington University: ?Neuromorphic computing designs and new neurotechnologies with biomedical applications?. See you there! __________________________________________ *Joseph D. Monaco, Ph.D.* Scientific Program Manager [C] (NINDS/OD) *Office of the BRAIN Director* joseph.monaco at nih.gov -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Fri May 31 00:00:23 2024 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 31 May 2024 09:30:23 +0530 Subject: Connectionists: ISCMI 2024 (Melbourne, Australia) - Submission deadline 1 month away Message-ID: Dear esteemed colleagues, Summer greetings from India. Hope you are doing well. This is to gently remind you that the submission deadline for 2024 11th ISCMI is just one month away http://iscmi.us/ I solicit your help in alerting your peers, students and others accordingly and motivate them to start preparing for submitting manuscripts, if not already. Thanks indeed and will look forward to receiving manuscripts from you/your peers in the coming days. With kind regards, Suash Deb General Chair, ISCMI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.clopath at imperial.ac.uk Fri May 31 08:08:28 2024 From: c.clopath at imperial.ac.uk (Clopath, Claudia) Date: Fri, 31 May 2024 12:08:28 +0000 Subject: Connectionists: Postdoc in Computational Neuroscience in the Clopath Lab Message-ID: We are hiring Postdocs in Computational Neuroscience in the Clopath Lab. If you are interested, send me an e-mail clopathlab.imperial at gmail.com with a small paragraph as a motivation and a CV attached. -------------- next part -------------- An HTML attachment was scrubbed... URL: From contact at sscc.fr Fri May 31 11:38:59 2024 From: contact at sscc.fr (Samir Ouchani) Date: Fri, 31 May 2024 17:38:59 +0200 Subject: Connectionists: [First CFP] CRiSIS 2024: The 19th International Conference on Risks and Security of Internet and Systems Message-ID: <001c01dab370$b12daa80$1388ff80$@sscc.fr> Apologies if you receive multiple copies 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) November 26th - 28th, 2024 Aix-en-Provence, France The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. TOPICS ====== We target contributions from both academia and industrials on the following topics, but not limited to: - AI and machine learning-based security approaches - Formal methods and logics-centered security approaches - Analysis and management of risk - Attacks and defenses - Attack data acquisition and network monitoring - Authorization, Authentication, and Identity Management - Blockchain and Distributed Ledger Technologies - Cryptography, biometrics, watermarking - Dependability and fault tolerance of Internet applications - Distributed systems security and safety - Embedded system security and safety - Empirical methods for security and risk evaluation - Hardware-based security and physical security - Intrusion detection and prevention systems - Organizational, ethical, and legal issues - Privacy protection and anonymization - Risk-aware access and usage control - Analysis and management of cyber crisis - Security and risk assessment - Security and risks metrics - Security and dependability of operating systems - Security and safety of critical infrastructures - Security and privacy of peer-to-peer system - Security and privacy of wireless networks - Security in Cloud/Edge/Fog computing - Security models and security policies - Security of big data - Security of industrial control systems - Security of intelligent transportation systems - Security of e-commerce, electronic voting, and database systems - Security of new-generation networks - Security of smart cities - Security of smart grid - Security of social networks - Security of the IoT and IIoT - Security of VoIP and multimedia - Smartphone security and privacy - Traceability, metrology and forensics - Trust management - Ubiquitous computing security - Use of smart cards and personal devices for Internet applications - Virtualization security - Web and Web-service security IMPORTANT DATES ================ Submission deadline: June 15th, 2024 Notification of acceptance: July 15th, 2024 Camera-ready paper due: October 15th, 2024 PAPER SUBMISSION ================= Submitted papers must not significantly overlap with papers already published or those being concurrently submitted to a journal or conference with proceedings. Papers should be written in English and submitted electronically in PDF format. Selected papers presented at the conference will be included in the post-proceedings, to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Authors are required to revise their papers according to review comments before publication. Pre-proceedings will be available at the time of the conference. The maximum length for submissions is 16 pages for full papers and 6 pages for short papers, following the LNCS formatting guidelines. We recommend the use of LNCS Springer Overleaf Template (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer -science/kzwwpvhwnvfj#.WtR5Hy5ua71). Authors must upload their paper as PDF file using the EasyChair submission system: https://easychair.org/conferences/?conf=crisis2024 WEB SITE ======== https://crisis2024.univ-gustave-eiffel.fr GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada - Nora Cuppens, Polytechnique Montreal, Canada - Jean-Paul Mizzi, Universit? Gustave Eiffel, France - David Garcia, CESI Lineact, France PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France - Samir Ouchani, CESI Lineact, France PUBLICITY CHAIRS =============== - Slim Kallel, University of Sfax, Tunisia ORGANIZING COMMITTE ===================== - David Garcia, CESI Lineact, France - Amine Mohammed Boudouaia, CESI Lineact, France - Malika Benkhalifa, Ecole d'Ing?nieurs CESI, France - Philippe Bon, Gustave Eiffel University, France - Seddik Reguieg, Gustave Eiffel University, France - Val?rie Osmont, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France ============================= Dr. Samir Ouchani, Ing., PhD., HDR. Research Director, CESI Lineact. Aix-en-Provence, France. -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Fri May 31 05:28:43 2024 From: efipatm at gmail.com (Efi) Date: Fri, 31 May 2024 12:28:43 +0300 Subject: Connectionists: Free AIDA short e-course "Ethics & STICs", June - July 2024 Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming short e-course by Dr. Thomas Baudel "*Ethics & STICs*". ?. This course will be held on *1 June to 5 July, 2024*, conducted online. *Key concepts*: This course is focused on some specific types of ethical issues encountered in information technologies including AI, which deserve specific attention. If answering an ethical dilemma in bioethics is often akin to answering the question ?who are we??, technology ethics triggers more questions of the type ?where are we going??. This, in our opinion, deserves a broad exposure. *Details* Host Institution: University Paris-Saclay Level: all PhD students and researchers in Information & Communication Sciences & Technologies Schedule: Online MOOC, *1 June ? 5 July, 2024* Join us and explore further: https://www.i-aida.org/course/ethics-stics/ Both AIDA and non-AIDA students are encouraged to participate in this course for *free* - *AIDA Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also follow the instructions on the course page . - Students/participants *not* associated with any AIDA member can join the course by following the instructions on the course page . The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From eleal at d.umn.edu Fri May 31 10:26:04 2024 From: eleal at d.umn.edu (Eleazar Leal) Date: Fri, 31 May 2024 09:26:04 -0500 Subject: Connectionists: Only Few Days Left for Submission: QDSM@VLDB 2024 Message-ID: ************************************************************************* CALL FOR PAPERS International Workshop on Quantum Data Science and Management (QDSM 2024) In conjunction with VLDB 2024 August 29, 2024, Guangzhou, China (and hybrid) Submission: June 3, 2024 - Submission deadline has been extended! Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm ************************************************************************* ** Aims of the Workshop ** The field of quantum computing has experienced remarkable progress after decades of research and development. Prototypes of quantum computers already exist and have been made available to users through cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu quantum cloud). While fault-tolerant and large-scale quantum computers are not available yet, the potential of this new technology is undeniable. Quantum algorithms have the proven ability to either outperform classical approaches for various tasks or are impossible to be efficiently simulated by classical means under reasonable complexity-theoretic assumptions. Even imperfect current-day technology is speculated to exhibit computational advantages over classical systems. For most database researchers, quantum computing and quantum machine learning are still new research fields. The goal of this workshop is to bring together academic researchers and industry practitioners from multiple disciplines (e.g., database, AI, software, physics, etc.) to discuss the challenges, solutions, and applications of quantum computing and quantum machine learning that have the potential to advance the state of the art of data science and data management technologies. Our purpose is to foster the interaction between database researchers and more traditional quantum disciplines, as well as industrial users. The workshop serves as a forum for the growing quantum computing community to connect with database researchers to discuss the wider questions and applications of how quantum resources can benefit data science and data management tasks, and how quantum software can support this endeavor. We believe that many unsolved and interesting issues can be found at boundaries and intersections between different fields and that there are insufficient venues to publish such cross-disciplinary results. We also believe that an important aspect of future quantum computing will concern issues of handling data in one way or another. This workshop will serve as a venue not only to discuss early, experimental results in research, but also to feature a demonstration part with the intention of providing attendees with first-hand experience in using novel quantum computing techniques that go beyond the simple examples offered by various web services. This will give researchers a realistic intuition about quantum computing for data science and data management tasks. ** Categories of Papers ** The workshop solicits papers of the following categories: - Research Papers propose new approaches, theories or techniques related to quantum data science and management including new data structures, protocols and algorithms. They should make substantial theoretical and empirical contributions to the research field. - System Papers describe new systems and whole frameworks for enabling quantum data science and management. - Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for quantum data science and management and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing the benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey. - Application Papers report practical experiences on applications of quantum data science and management. Application Papers might describe how to apply quantum technologies to specific application domains. - Vision Papers identify emerging new or future research issues and directions and describe new research visions for quantum data science and management. The new visions will potentially have significant impacts on society. - Demo Papers deal with innovative approaches and applications for quantum data science and management. These papers describe a showcase of the proposed approach/application. We are especially interested in demonstrations having a WOW-effect. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org) and presented as oral presentations. ** Topics of Interest ** We are interested in all issues concerning quantum data science and management such as the following: - Quantum Computing for problems related to Data Science and Management - Quantum Data Science - Quantum Computing for Data Science - Data Science for Quantum Computing - Quantum Data Management - Quantum Computing for Data Management - Data Management for Quantum Computing - Quantum Machine Learning - Quantum Machine Learning Enabled Databases - Quantum Data Management to Support Machine Learning - New approaches to Quantum Machine Learning - Applications for - Quantum Data Science - Quantum Data Management - Quantum Machine Learning - Quantum Algorithms with applications in Quantum Data Science and Management - Quantum Software Tools for Quantum Data Science and Management - Frameworks and APIs - Programming Languages - Optimizers of Quantum Programs and Circuits - Quantum Cryptography and Security for Data Science and Management ** Workshop Chairs ** - Sven Groppe, University of Lubeck, Germany - Jiaheng Lu, University of Helsinki, Finland - Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany - Le Gruenwald, University of Oklahoma, USA ** Publicity Chairs ** - Eleazar Leal, University of Minnesota Duluth, USA ** Proceedings Chairs ** - Valter Uotila, University of Helsinki, Finland ** Program Committee ** - Umut Calikyilmaz, University of Lubeck, Germany - Maja Franz, OTH Regensburg, Germany - Srinjoy Ganguly, Woxsen University, India - Natacha Kuete Meli, University of Lubeck, Germany - Nitin Nayak, University of Lubeck, Germany - Jukka K. Nurminen, University of Helsinki, Finland - IIya Safro, University of Delaware, USA - Manuel Schonberger, OTH Regensburg, Germany - Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India - Valter Uotila, University of Helsinki, Finland - Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA - Zhengtong Yan, University of Helsinki, Finland ** Important Dates ** Submission (extended): June 3, 2024 Notification: June 30, 2024 Workshop: August 29, 2024 ** Submission ** Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be formatted using the camera-ready templates in the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published online in the CEUR Workshop proceedings (CEUR-WS.org). We describe manuscript preparation and submission procedure at https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit -- Eleazar Leal, Ph.D. Associate Professor Dept. of Computer Science | University of Minnesota Duluth Heller Hall 331 1114 Kirby Drive Duluth, MN 55812 Tel: (218) 726-8452 | Fax: (218) 726-8240 -------------- next part -------------- An HTML attachment was scrubbed... URL: