From xavier.hinaut at inria.fr Fri Dec 1 02:01:27 2023 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Fri, 1 Dec 2023 08:01:27 +0100 Subject: Connectionists: MSc Internship - Evolving Reservoir Meta-RL - Inria, Bordeaux, France Message-ID: Please find below an offer for an intership from February/March to July/August 2024 in Mnemosyne team at Inria, Bordeaux, France # Title Title: Evolving Reservoirs for Meta Reinforcement Learning # Supervision Xavier Hinaut, Mnemosyne team, Inria Bordeaux Potential collaboration with Cl?ment Moulin-Frier (Flowers Team) & Pierrick Legrand (Astral Team) # Duration: 6 months, spring/summer 2024. Level: Master 2 research internship # Keywords: meta reinforcement learning, reservoir computing, evolutionary computation, neuroevolution, simulation environments, scientific programming with Python. # Research team & internship location Mn?mosyne Team: Inria Bordeaux Sud-Ouest, LABRI & Institut des Maladies Neurod?g?n?ratives (Centre Broca Aquitaine, Carreire campus) https://team.inria.fr/mnemosyne # Project How can a reinforcement learning (RL) agent autonomously learn a diversity of skills with minimal external supervision? Recent works have shown that a single goal-conditioned policy can be trained to solve multiple tasks in parallel (see e.g. Colas et al., 2021 for a recent review). Other works in Meta Reinforcement Learning (Meta-RL) have shown that artificial agents can ?learn how to learn? (hence the term meta-learning) multiple skills without having access to goal-related information (see e.g. Weng, 2019 for an introduction). Meta-RL aims at equipping agents with the ability to generalize to tasks or environments that have not been encountered during training. Two nested processes of adaptation are traditionally considered: an outer adaptation loop optimizing the hyperparameters of an inner adaptation loop. The inner adaptation loop can be a standard RL algorithm operating on a given environment. The outer loop is tuning the hyperparameters of the inner loop such that it performs well on a wide distribution of environments. The end result of this nested training process is an algorithm that learns how to learn, i.e. learns how to adapt to tasks that have never been encountered during training. Works differ in the optimization technique and adaptation mechanism they consider in the two loops. The outer loop often optimizes higher-level structures such as the architecture of a neural network (Baker et al., 2017), the morphology (Gupta et al., 2021), a curiosity module providing intrinsic rewards (Alet et al., 2020) or plasticity rules (Najarro & Risi, 2021), employing either evolutionary or gradient-based optimization. In parallel, Reservoir Computing (RC, (Jaeger 2001+)) is particularly well suited for extracting information from data stream with complex temporal dynamics (e.g. weather forecast or language). It is a machine learning paradigm on sequential data where a recurrent neural network is only partially trained (e.g. only training a linear readout). One of the major interests of these recurrent neural networks is their reduced computational cost and the possibility to learn both in on-line and off-line fashion. They have been successfully applied on a wide variety of tasks, from prediction/generation of chaotic timeseries to discrimination of audio sequences, such as bird song recognition. They offer de facto a fast, simple yet efficient way to train RNNs. This "reservoir of computations" works thanks to random projections in large dimensions, and is thus similar to temporal Support Vector Machines (SVM). In this internship, we will explore how Reservoir Computing can be leveraged in the context of Meta-RL. In this context, we will consider evolving the architecture of a reservoir for performing well on a wide range of RL tasks (see Seoane, 2019 for theoretical arguments on this evolutionary perspective). For this aim, we will use the ReservoirPy Python library developed in the Mnemosyne team (Trouvain & Hinaut, 2022) that we will interface with evolutionary computation algorithms (e.g. Tang et al., 2022). The project will involve: ? Designing of a wide range of RL tasks in an existing simulation environment (ex MuJoCo) ? Learning how to learn multiple tasks without access to the goal information (i.e. meta-RL with a reservoir). ? Evolve reservoir architectures for meta-RL with evolutionary methods # How to apply Contact xavier.hinaut at inria.fr with a CV and letter of motivation. We also recommend sending documents or reports describing previous projects you have been working on (even if they are not directly related to the topic), as well as your grades and links to some of your code repositories. # Requirements We are looking for highly motivated MSc students (Master II). Programming skills and prior experience with Python and deep learning frameworks (Pytorch, Tensorflow) are expected. # Other internship offers https://github.com/neuronalX/internships/ # References Alet, F., Schneider, M. F., Lozano-Perez, T., & Kaelbling, L. P. (2020). Meta-learning curiosity algorithms. International Conference on Learning Representations (ICLR 2020). https://openreview.net/forum?id=BygdyxHFDS Baker, B., Gupta, O., Naik, N., & Raskar, R. (2017). Designing neural network architectures using reinforcement learning. ArXiv:1611.02167 [Cs]. http://arxiv.org/abs/1611.02167 Botvinick, M., Ritter, S., Wang, J. X., Kurth-Nelson, Z., Blundell, C., & Hassabis, D. (2019). Reinforcement Learning, Fast and Slow. Trends in Cognitive Sciences, 23(5), 408?422. https://doi.org/10.1016/j.tics.2019.02.006 Colas, C., Karch, T., Sigaud, O., & Oudeyer, P.-Y. (2021). Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey. ArXiv:2012.09830 [Cs]. http://arxiv.org/abs/2012.09830 Gupta, A., Savarese, S., Ganguli, S., & Fei-Fei, L. (2021). Embodied intelligence via learning and evolution. Nature Communications, 12(1), 5721. https://doi.org/10.1038/s41467-021-25874-z Jaeger, H. (2007). Echo state network. Scholarpedia, 2(9), 2330. https://doi.org/10.4249/scholarpedia.2330 Najarro, E., & Risi, S. (2021). Meta-Learning through Hebbian Plasticity in Random Networks. ArXiv:2007.02686 [Cs]. http://arxiv.org/abs/2007.02686 Sakemi, Y., Morino, K., Leleu, T., & Aihara, K. (2020). Model-size reduction for reservoir computing by concatenating internal states through time. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s41598-020-78725-0 Seoane, L. F. (2019). Evolutionary aspects of reservoir computing. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1774), 20180377. https://doi.org/10.1098/rstb.2018.0377 Tang, Y., Tian, Y., & Ha, D. (2022). EvoJAX: Hardware-Accelerated Neuroevolution. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 308?311. https://doi.org/10.1145/3520304.3528770 Trouvain, N., & Hinaut, X. (2022). reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. https://hal.inria.fr/hal-03699931 https://github.com/reservoirpy/reservoirpy Weng, L. (2019, June 23). Meta Reinforcement Learning. https://lilianweng.github.io/posts/2019-06-23-meta-rl/ Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy -------------- next part -------------- An HTML attachment was scrubbed... URL: From aykut.erdem at gmail.com Fri Dec 1 07:04:18 2023 From: aykut.erdem at gmail.com (Aykut Erdem) Date: Fri, 1 Dec 2023 15:04:18 +0300 Subject: Connectionists: =?utf-8?q?Faculty_positions_at_Ko=C3=A7_Universit?= =?utf-8?q?y=2C_Istanbul=2C_Turkey?= Message-ID: <59FAA56B-A550-4C0F-8165-B05428046BB6@gmail.com> Ko? University College of Engineering invites applications for Full-time Faculty positions in Computer Science and Engineering starting in Fall 2024. Outstanding applicants with strong theoretical research contributions in all areas of computer science and engineering are invited to apply for the position. The ideal candidates are expected to have a visionary research agenda with an exceptional track record in research and publication, demonstrating a deep commitment to academic excellence and innovation; together with a keen commitment to teaching and learning. Faculty members are expected to teach undergraduate and graduate courses in addition to maintaining a vigorous research program, collaborating across multiple disciplines, and leveraging the research infrastructure of Ko? University such as Ko? University Is Bank Artificial Intelligence Research Center (KUIS AI) and Ko? University Translational Medicine Research Center (KUTTAM). Ko? University is a private, nonprofit institution located on a state-of-the-art campus in Istanbul, Turkey. The University is supported by the Vehbi Ko? Foundation and is committed to the pursuit of excellence in both research and teaching. The medium of instruction is English. Ko? University hosts the highest number of European Research Council (ERC) Grant recipients and continues to receive the largest total amount of research funding from Horizon 2020 in the nation. It has a newly established Central Research Infrastructure and one of the largest GPU clusters in Turkey. Having a very strong School of Medicine, Hospital and Health Sciences Campus, Ko? University provides an outstanding interdisciplinary research environment for the faculty members in the College of Engineering. The Department of Computer Science and Engineering at Ko? University is very strong and dynamic. Faculty members are among the world leaders in their respective research areas and have come to Ko? University with significant experience from the best institutions worldwide. Accomplishments of the faculty have been recognized by many national and international awards, including two ERC grants. The Department attracts a significant amount of government and industry funding. Detailed information on the Department and the College of Engineering can be found at eng.ku.edu.tr/en . We are looking for outstanding individuals who can build strong research and teaching programs and who can develop into intellectual leaders. It is also important that the candidates interact closely with colleagues across different disciplines and contribute positively to the successful advancement of the College. We offer a competitive salary and benefit package (e.g., housing support, private insurance, K12 package, research startup support). Applicants should submit their application online at Academic Jobs Online: CV, a statement of teaching interests, a description of the proposed research program, and the names and addresses of at least three references. The evaluation of applications will commence in mid-January and will continue until the positions are filled. All applications will be considered and treated confidentially. Please use this link to apply: https://academicjobsonline.org/ajo/jobs/26651 Review of applications will begin immediately. As part of the hiring process, the successful applicant must pass a criminal background check. Questions regarding the position can be directed to Asst. Prof. G?zde G?l ?ahin (gosahin{at}ku.edu.tr) and Assoc. Prof. Aykut Erdem (aerdem{at}ku.edu.tr) chair of this faculty search committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vonluehmann at tu-berlin.de Fri Dec 1 08:46:32 2023 From: vonluehmann at tu-berlin.de (=?Windows-1252?Q?von_L=FChmann=2C_Alexander=2C_Dr=2E?=) Date: Fri, 1 Dec 2023 13:46:32 +0000 Subject: Connectionists: =?windows-1252?q?Job_Opening=3A_PhD/PostDoc_at_TU?= =?windows-1252?q?_Berlin_/_BIFOLD_=96_Machine_Learning_for_Wearable_Brain?= =?windows-1252?q?-Body_Imaging?= Message-ID: <7ea966d0570d4434973cbe7f5c7bc88b@tu-berlin.de> Dear friends and colleagues, please spread the word in your networks or recommend a candidate if you know someone. I have a PhD position open and am looking for excellent candidates. This job ad is also advertised on social media via twitter/x @ibs_bifold and linkedin.com/in/avonluh/ Job Opening: PhD/PostDoc at TU Berlin / BIFOLD ? Machine Learning for Wearable Brain-Body Imaging The independent research group "Intelligent Biomedical Sensing (IBS)" headed by Dr.-Ing. Alexander von L?hmann is hiring! The IBS Lab belongs to Technical University of Berlin and BIFOLD ? one of the leading AI centers in Germany. We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health. The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS and DOT) and biopotentials (e.g. EEG). Working field: * Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications. * Exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis * Development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions * Scientific publishing, pursuit of doctoral degree is possible. * Teaching duties Employer: TU Berlin/BIFOLD Where: Berlin, Germany Salary grade: TV-L 13 Berliner Hochschulen ? full time (100%) Starting date: at the earliest possible Closing date: 28. Dec. 2023 Full job posting: IV-748/23 | BIFOLD | IBS Lab * https://www.jobs.tu-berlin.de/stellenausschreibungen/175191?language=en __________________________ Dr.-Ing. Alexander von L?hmann Head of Independent Research Group Intelligent Biomedical Sensing (IBS) [cid:image001.png at 01DA2461.DD110A00] BIFOLD-ML | Machine Learning Department Technische Universit?t Berlin Fakult?t IV ? EECS MAR 4-1 / Raum 4.045 Marchstr. 23, 10587 Berlin Telefon: +49 (0)30 314-77079 www.ibs-lab.com www.bifold.berlin www.ml.tu-berlin.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 19094 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 175191_tub_en.pdf Type: application/pdf Size: 880008 bytes Desc: 175191_tub_en.pdf URL: From jpezaris at gmail.com Fri Dec 1 09:27:04 2023 From: jpezaris at gmail.com (John Pezaris) Date: Fri, 1 Dec 2023 09:27:04 -0500 Subject: Connectionists: AREADNE 2024 Call for Abstracts Message-ID: AREADNE 2024 Research in Encoding and Decoding of Neural Ensembles Eliopoulos Conference Center, Milos, Greece 25-29 June 2024 http://areadne.org info at areadne.org Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2024, 25-29 June 2024, our tenth meeting, to be held at the Eliopoulos Conference Center in Milos, Greece. Note that this is a change in location from previous meetings. Continuing with the same highly successful format, AREADNE 2024 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal and beautiful setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 26 Jan 2024; notifications will be provided by late February 2024. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info at areadne.org . We hope to see you at AREADNE 2024! Best, - J. --- John S. Pezaris, Ph.D. AREADNE 2024 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA info at areadne.org From mtanveer at iiti.ac.in Sun Dec 3 04:43:18 2023 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sun, 3 Dec 2023 15:13:18 +0530 Subject: Connectionists: IEEE TFS SI - Extended Last Date - Feb 28, 2024 Message-ID: Special Issue: Advances in fuzzy deep learning algorithms for biomedical data Aim and Scope: Deep learning is one of the most important revolutions in the field of artificial intelligence over the last decade. Approaches under this family of models have achieved great success in different tasks such as computer vision, image processing, biomedical analysis and related fields. Researchers in deep and shallow machine learning including those working in computer vision, image processing, biomedical analysis and other fields comprising multi-dimensional data. Fuzzy set theory is a branch of artificial intelligence capable of analysing complex biomedical data, which has been one of the state of the art methodologies, leading to the enhanced performance in various medical applications to prevent, diagnose, and treat diseases. Compared to the traditional data analytics and decision support techniques, fuzzy sets and their extensions are effective white-box tools for representing and explaining the complexity and vagueness of the information, especially to reduce uncertainty. However, the relatively low learning efficiency and performance also hinder their applications in the medical domain. Therefore, in the last few years, integrating deep learning and fuzzy systems has been an emerging and promising topic with applications in healthcare. When tied with experienced clinicians, researchers in fuzzy deep learning can play a significant role in understanding and working on complex medical data, which ultimately leads to improved patient care. Developing novel fuzzy deep learning algorithms suited to deal with medical data still remains a challenge. Healthcare and biomedical sciences have become data-intensive fields, with a strong need for sophisticated data mining methods to extract knowledge from the available information. Biomedical data pose several challenges in data analysis, including high dimensionality, class imbalance and scarcity of annotated data featuring enough quality for modelling purposes. Although current research in this field has shown promising results, several research issues need to be explored, including novel feature selection methods to improve predictive performance along with interpretation, and to explore large scale data in biomedical sciences. This special issue aims to bring together the current research progress (from both academia and industry) on fuzzy deep learning algorithms to address the challenges of biomedical complex data. Special attention will be devoted to novel contributions related to feature selection, class imbalance, data fusion, explainability and biomedical use cases comprising real-world data. This special issue aims at providing an opportunity for collecting some advanced work in the fuzzy deep learning, including compilation of the latest research, development, and practical experiences as well as up-to-date issues, reviewing accomplishments, assessing future directions and challenges in this field. It will bring both researchers from academia and practitioners from industry to discuss the latest progress, new research topics, and potential application domains. Topics: The topics relevant to the special issue include (but are not limited to): - Fuzzy deep learning for computer aided detection and diagnosis - Fuzzy deep learning for neuroimaging - Fuzzy deep learning for radiographic data - Fuzzy deep learning for biomedical image classification and ROI localization - Fuzzy deep learning for genomics - Explainable fuzzy deep learning for prediction of healthcare variations - Fuzzy deep learning for multimodality neuroimaging data fusion systems - Fusion of fuzzy deep learning and big data for future challenges - Explainability of fuzzy deep learning in all its forms (counterfactuals, local explanations, relevance attribution, etc) - Advanced fuzzy deep learning techniques for the risk prediction of COVID-19 Submission guidelines: All authors should read ?Information for Authors? before submitting a manuscript http://cis.ieee.org/ieeetransactions-on-fuzzy-systems.html Submissions should be through the IEEE TFS journal website http://mc.manuscriptcentral.com/tfs-ieee. It is essential that your manuscript is identified as a Special Issue contribution. Ensure you choose ?Special Issue? when submitting. A cover letter must be included which includes the title ?Advances in fuzzy deep learning algorithms for biomedical data?. Important Dates: Submission Deadline: Feb 28, 2024 Notification of the first round review: Usually 2-3 months from the date of submission Guest Editors: M. Tanveer, Indian Institute of Technology Indore, India (Lead) Email: mtanveer at iiti.ac.in, Homepage: http://people.iiti.ac.in/~mtanveer/ Google Scholar Citations: 5050 with h-index 36 Chin-Teng Lin, University of Technology Sydney, Australia Email: Chin-Teng.Lin at uts.edu.au, Homepage: https://www.uts.edu.au/staff/chin-teng.lin Google Scholar Citations: 35800 with h-index 92 Yu-Dong Zhang, University of Leicester, UK Email: yudongzhang at ieee.org Homepage: https://le.ac.uk/people/yudong-zhang Google Scholar Citations: 29700 with h-index 97 ---------------------------------------------------------- Dr. M. Tanveer (Founding Chapter Chair, IEEE CIS Chapter - MP Section) SERB Ramanujan Fellow and INSA Associate Fellow IEEE CIS Distinguished Lecturer (2024-2026) Elected Board of Governors - APNNS (2023-2024) Associate Professor of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE Transactions on Neural Networks & Learning Systems (IF: 10.4). Action Editor: Neural Networks, Elsevier (IF: 7.8). Associate Editor: Pattern Recognition, Elsevier (IF: 8.0). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.7). Board of Editors: Engineering Applications of AI, Elsevier (IF: 8.0). Associate Editor: Neurocomputing, Elsevier (IF: 6.0). Associate Editor: Cognitive Computation, Springer (IF: 5.4). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 5.6). Lead Guest Editor: IEEE Transactions on Fuzzy Systems (IF: 11.9) -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Dec 2 06:12:10 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 2 Dec 2023 12:12:10 +0100 (CET) Subject: Connectionists: DeepLearn 2024: early registration December 28 Message-ID: <1275697270.674387.1701515530262@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: December 28, 2023 ****************************************************** SCOPE: DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. This year?s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Jiawei Han (University of Illinois Urbana Champaign), How Can Large Language Models Contribute to Effective Text Mining? Katia Sycara (Carnegie Mellon University), Effective Multi Agent Teaming PROFESSORS AND COURSES: (to be completed) 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), [intermediate/advanced] Machine Reading Comprehension with Large Language Models Frank Hutter (University of Freiburg), [intermediate/advanced] AutoML George Karypis (University of Minnesota), [intermediate] Deep Learning Models and Systems for Real-World Graph Machine Learning Anais M?ller (Swinburne University of Technology), [introductory/intermediate] Classification in Time-Domain Astronomy, the Challenges of Interpretability and Irregular and Very Large Data Sets Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective Massimiliano Pontil (Italian Institute of Technology), [intermediate/advanced] Operator Learning for Dynamical Systems Elisa Ricci (University of Trento), [intermediate] Continual and Adaptive Learning in Computer Vision Xinghua Mindy Shi (Temple University), [intermediate] Trustworthy Artificial Intelligence for Health and Medicine Laurens van der Maaten (Meta AI), [introductory/intermediate] Introduction to Computer Vision Danxia Xu (National Research Council of Canada) [introductory] Photonic Chips and Artificial Intelligence: An Interplay 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. HACKATHON ACTIVITIES: A section of the event will consist of hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. EMPLOYERS: Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2024/sponsoring/ ORGANIZING COMMITTEE: Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2024/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available at https://deeplearn.irdta.eu/2024/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From yongxin.yang at qmul.ac.uk Sun Dec 3 18:34:01 2023 From: yongxin.yang at qmul.ac.uk (Yongxin Yang) Date: Sun, 3 Dec 2023 23:34:01 +0000 Subject: Connectionists: PhD Studentship in Machine Learning for Quantitative Finance at QMUL Message-ID: A fully funded PhD studentship covering UK home fees and a London stipend of ?20,662 per annum for 3 years is available for a starting date in September 2024. The student will be supervised by Dr. Yongxin Yang in the school of Electronic Engineering and Computer Science of the Queen Mary University of London. This project sits at the intersection of machine learning and quantitative finance, with a focus on advancing areas such as derivatives pricing and portfolio optimization. The research may extend established studies like option pricing [1, 2] and index tracking [3,4] or explore some new topics (e.g., agent-based market simulation). The successful candidate will harness advanced techniques including Large Language Models (LLMs), AI Agents, Neural Differential Equations, Self-Supervised Learning (SSL), Neural Implicit Representations (NIR), and Meta Learning, with an emphasis on creating accurate, robust, and trustworthy models. The goal is to develop accountable machine learning tools that can be adopted by the finance industry, and promoting open-source research in quantitative finance. The deadline for applications is the 31st January 2024. To qualify as a home student for the purpose of the scholarships, a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. Applicants are encouraged to contact Dr. Yongxin Yang at yongxin.yang at qmul.ac.uk with any questions before applying online. More information can be found at http://eecs.qmul.ac.uk/phd/phd-studentships/qm-principal-epsrc-dtp-phd-studentships/principal-and-epsrc-dtp-phd-studentships. References [1] Y. Yang and T. Hospedales, "Mixture of Normalizing Flows for European Option Pricing", UAI 2023 [2] Y. Yang and T. Hospedales, "On Calibration of Mathematical Finance Models by Hypernetworks", ECML/PKDD 2023 [3] Y. Yang and T. Hospedales, "Partial Index Tracking: A Meta-Learning Approach", CoLLAs 2023 [4] Y. Yang and T. Hospedales, "An Evaluation of Self-Supervised Learning for Portfolio Diversification", ICANN 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Sun Dec 3 15:40:40 2023 From: bwyble at gmail.com (Brad Wyble) Date: Sun, 3 Dec 2023 15:40:40 -0500 Subject: Connectionists: [Postdoc job] Recruiting a new postdoc at the intersection of machine learning and psychology Message-ID: Dear colleagues, The Data Sciences and Artificial Intelligence (DS/AI) group at Penn State invites applications for a Postdoctoral Scholar position, set to commence in Fall 2024. This role is centered on cutting-edge research *at the nexus of machine learning, deep learning, computer vision, psychology, and biology*, with foci on psychology-inspired AI and addressing significant biological questions using AI. For more details see here: https://psu.wd1.myworkdayjobs.com/en-US/PSU_Academic/details/Postdoctoral-Scholar---College-of-IST-Data-Sciences-and-Artificial-Intelligence_REQ_0000050584-1 Feel free to reach out to me at bwyble at gmail.com if you have any questions about your fit and the goals of the project. -- Brad Wyble Professor of Psychology Penn State University -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiaxiangzhang at gmail.com Sun Dec 3 16:32:36 2023 From: jiaxiangzhang at gmail.com (Jiaxiang ZHANG) Date: Sun, 3 Dec 2023 21:32:36 +0000 Subject: Connectionists: [Conferences] AIiH 2024 Call for Special Session Proposals (International Conference on AI in Healthcare, Swansea UK) In-Reply-To: References: Message-ID: [Apologize for cross-posting] We are delighted to invite proposals for special sessions at the first International Conference on Artificial Intelligence in Healthcare (AIiH 2024), which will be held in Swansea from 4 September to 6 September 2024. A special session is designed to delve into a specific research theme or showcase innovative applications. Each special session will feature a minimum of five presentations. For topics of interest, please see the conference website (https://aiih.cc). Special session chairs will receive one free full registration. For a special session with more than five accepted papers, the organisers may invite one invited speaker, whose registration to the conference will also be free. Papers submitted to special sessions are reviewed in the same way as submissions to the conference's main sessions. Author guidance and paper submission details can be found here (https://aiih.cc/paper-submission). Presenting speakers are required to register at the conference. Special session papers will be included in the conference proceedings, published by Springer Lecture Notes in Computer Science. Procedure for Submitting Special Session Proposals Each proposal should include: 1. Session title. The title will be published in the conference programme. 2. Abstract (250 words). The abstract will be published in the conference program. 3. Name and affiliation of the special session organisers. 4. Name and affiliation of invited speakers who will contribute to the special session. Please note that the invited speakers will need to submit their papers (https://aiih.cc/paper-submission). Papers submitted for special sessions undergo the same review process as open submissions and will be included in the conference proceeding. 5. You can propose an open special session, which allows other delegates to submit their papers to the proposed session. Please email your proposal to contact at AIiH.cc by the deadline of January 26th, 2024. The conference committee will assess special session proposals based on the quality of the proposal and the broad appeal of the topic. -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Mon Dec 4 03:01:32 2023 From: erik at oist.jp (Erik De Schutter) Date: Mon, 4 Dec 2023 08:01:32 +0000 Subject: Connectionists: Announcing Okinawa/OIST Computational Neuroscience Course 2024 (OCNC 2024) Message-ID: <910BD418-9AA5-4A7F-81F7-670E3B75834A@oist.jp> OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2024 Methods, Neurons, Networks and Behaviors June 17 to July 4, 2024 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 17th through July 4th, 2024 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - January 31, 2024. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 19th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Lecturers: Erik De Schutter (OIST) Kenji Doya (OIST) Tomoki Fukai (OIST) Izumi Fukunaga (OIST) N. Alex Cayco Gajic (?cole Normale Sup?rieure, Paris, France) Yukiko Goda (OIST) Arvind Kumar (KTH, Stockholm, Sweden) Bernd Kuhn (OIST) Matthew Larkum (Humboldt University, Berlin, Germany) Hakwan Lau (RIKEN CBS, Tokyo, Japan) Sukbin Lim (NYU Shangai, China) Gerald Pao (OIST) Thomas Parr (Oxford University, UK) Sam Reiter (OIST) Kazumasa Tanaka (OIST) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3766 bytes Desc: not available URL: From h.toutounji at sheffield.ac.uk Mon Dec 4 06:22:27 2023 From: h.toutounji at sheffield.ac.uk (Hazem Toutounji) Date: Mon, 4 Dec 2023 11:22:27 +0000 Subject: Connectionists: Fully-funded PhD in mathematical neuroscience (Sheffield, UK) Message-ID: A fully-funded PhD in mathematical neuroscience is available with Dr Hazem Toutounji and Professor Eleni Vasilaki (University of Sheffield, UK). *Project title: *What can self-connected neurons do? A unifying theory of autaptic neural function in invertebrates and mammals The neuron is the fundamental building block in the nervous systems of all animal species, from C. elegans with its 302 neurons, to humans with their highly evolved cortex alone containing more than 10 billion neurons. The action potential, or spike, is the basic unit of neural signalling. Most neurons communicate through chemical synapses, which project from the axon of one neuron to the cell body or dendrites of another. An autapse is a synapse connecting the neuron to itself. In this project, we will use mathematical modelling to achieve two objectives: 1. Investigate the different roles of autapses in neural processing as observed experimentally. 2. Explore autapses as a potential route to chaos and its role in healthy and pathological neural function. The position is open to UK and overseas applicants. The ideal candidate will have a strong command of mathematical analysis and programming skills. Prior knowledge of dynamical systems theory is desirable. Application deadline: 5pm GMT 24 January 2024 For full details and how to apply see: https://www.findaphd.com/phds/project/what-can-self-connected-neurons-do-a-unifying-theory-of-autaptic-neural-function-in-invertebrates-and-mammals-psy-01-toutounji/?p163370 *Please note: *Interested candidates are strongly encouraged to contact me ( h.toutounji at sheffield.ac.uk) to discuss your interest in and suitability for the project prior to submitting your application. -- *Dr. rer. nat. Hazem Toutounji (they / them)* *Lecturer in Computational Neuroscience and ECR Champion* *The Neural Dynamics and Computation Lab* Department of Psychology The Neuroscience Institute Insigneo Institute for in silico Medicine University of Sheffield ICOSS Building, 4th floor, desk 5 219 Portobello, Broomhall Sheffield S1 4DP, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From crpalmec7 at alumnes.ub.edu Mon Dec 4 11:23:06 2023 From: crpalmec7 at alumnes.ub.edu (=?iso-8859-1?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Mon, 4 Dec 2023 16:23:06 +0000 Subject: Connectionists: Call for Participation - REACT 2024 Challenge: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions (REACT2024) Message-ID: [apologies for multiple copies] CALL FOR PARTICIPATION REACT 2024 Challenge: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions (REACT2024 at FG'24) The second "Multiple Appropriate Facial Reaction Generation in Dyadic Interactions" challenge (REACT2024) to be held in conjunction with the Automatic Face and Gesture Recognition (FG) 2024 in Istanbul, Turkey, is calling for contributions in the form of papers and competition in the challenge. The competition will be using the NoXI, and RECOLA datasets which contain audio-video clip data of participants engaged in dyadic video-conference settings. The challenge consists of two main tasks: * Task 1 - Offline Appropriate Facial Reaction Generation * Task 2 - Online Appropriate Facial Reaction Generation Participants are invited to participate in one or both sub-challenges. For more information about the challenge, check our website https://sites.google.com/cam.ac.uk/react2024/home. To register and access the challenge data, please fill the registration form you will find on the website and feel free to contact us by email: reactmultimodalchallenge at gmail.com . For each task, training and validation data will be made available to participants. At the end of the competition, participants will be required to submit their trained models (in the form of working code) via email. All submissions will be evaluated on a held-out test dataset to ensure a fair comparison. Participants will also be encouraged to submit a conference-style paper describing their proposed approach for tackling the challenge task(s) as well as the results obtained. Challenge timeline is as follows: * Launching Challenge website and call for participation poster: November 2, 2023 * Registration open: November 5, 2023 * Training and validation sets released: November 14, 2023 * Baseline paper and code released: December 31, 2023 * Final result and model submission: March 15, 2024 * Paper submission deadline: March 29, 2024 * Paper acceptance notification: April 5, 2024 * Camera ready paper submission deadline: April 15, 2024 The Organisers ? Dr Siyang Song*, University of Leicester & University of Cambridge, United Kingdom ? Dr Micol Spitale*, University of Cambridge, Cambridge, United Kingdom ? Cheng Luo, Monash University, Australia ? Cristina Palmero, Universitat de Barcelona, Barcelona, Spain ? German Barquero, Universitat de Barcelona, Barcelona, Spain ? Prof Sergio Escalera, Universitat de Barcelona, Barcelona, Spain ? Prof Michel Valstar, University of Nottingham, Nottingham, United Kingdom ? Dr Tobias Baur, University of Augsburg, Augsburg, Germany ? Dr Fabien Ringeval, Universit? Grenoble Alpes, Grenoble, France ? Prof Elisabeth Andr?, University of Augsburg, Augsburg, Germany ? Prof Hatice Gunes, University of Cambridge, Cambridge, United Kingdom Contact us via email: reactmultimodalchallenge at gmail.com Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s'adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l'enc?rrec de rebre'l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l'heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Dec 5 02:53:49 2023 From: hocine.cherifi at gmail.com (hocine Cherifi) Date: Tue, 5 Dec 2023 08:53:49 +0100 Subject: Connectionists: APPLY TO THE THOM YOUNG RESARCHER AWARD Message-ID: *YOUNG RESARCHER AWARD* *@ **FRCCS 2024* The Young Researcher Award is part of CSS FRANCE's global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* after the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. *Eligibility* - Applications for this award are welcomed by academia, business, and government scientists. - Eligible candidates should not be older than 35 years. - There should be no more than five years between the date of the Ph.D. defense and the deadline of the call for nomination. - Self-nominations are accepted and encouraged. - Any young researcher can be nominated in whatever discipline Complex Systems covers. - Candidates must commit to presenting their work at FRCCS if awarded. *Important dates* ? Application deadline: *March 04, 2024* ? Notification to applicants: *April 02, 2024* *Application Instruction* *For self-nomination* The application package must contain: - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A long-term research project (maximum two pages) *For supporter nomination* - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A statement from the candidate (maximum two pages) reflects their understanding of how the original scientific research moved science forward. *Application Process* Applications are made via a google form: Fill out the self-nomination form or the Supporter nomination form *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 1000 euros is awarded to the winner. The award also covers the registration fee of FRCCS 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS 2024. For more information contact: hocine.cherifi at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Mon Dec 4 17:26:55 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Mon, 4 Dec 2023 22:26:55 +0000 Subject: Connectionists: [ACM IUI 2024] Call for Doctoral Consortium Submissions Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://iui.acm.org/2024/call_for_doctoral_consortium.html ** ACM IUI 2024 - Call for Doctoral Consortium Submissions** 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ ** Overview ** The IUI 2024 Doctoral Consortium (DC) provides students an opportunity to present and receive feedback about their research in an interdisciplinary workshop, under the guidance of a panel of mentors selected from senior researchers in the field. We invite students who feel they would benefit from this kind of feedback?the ideal participant is a doctoral student about two years from finishing their Ph.D. We will also consider advanced Master's students and junior Ph.D. students provided their research plan is sufficiently developed to benefit from the discussion at the DC. Submissions will be selected by the DC chairs and potentially other reviewers. The strongest candidates will be those who have a clear topic and research approach and who have made some progress, but are not too far along in their research so that they can still reshape their research topic or approach. The final version of accepted Doctoral Consortium submissions will be included in the main conference proceedings published in the ACM Digital Library. The Doctoral Consortium workshop will take place as a separate session in parallel to workshops and tutorials, and DC participants will have the opportunity to present their research in the poster session during the main program. Complimentary/reduced conference registration will be available for students. Doctoral Consortium participants will also be given high priority when applying for the student travel awards, under the precondition that they agree to assist as student volunteers in the organization of the event. ** Objectives ** The objectives of the Doctoral Consortium are to: * Serve as a supportive setting to provide/receive feedback on students' current doctoral research as well as guidance on future research directions; * Offer each student comments and fresh perspectives on their work from researchers and students outside of their own institution; * Promote the development of a supportive community of scholars and a spirit of collaborative research; * Contribute to the conference goals through interaction with other researchers and conference events. ** Submission Instructions ** If you are unsure about eligibility or submission requirements, please do not hesitate to email us at dc2024 at iui.acm.org! To apply for the Doctoral Consortium, two steps are required: Please submit a single PDF containing your technical submission (for details see below) via PCS by January 9. In addition, your doctoral or thesis advisor should send a separate, brief letter of recommendation to the DC chairs at dc2024 at iui.acm.org by January 12. For the technical submission, please upload a single PDF containing the following four items to https://new.precisionconference.com/~sigchi by January 9, 2024: 1. Cover Letter (1 page max): Please include your full name, contact details, affiliation, web page, expected graduation date and target degree, the name of your thesis advisor, gender (optional), home country (optional), and whether you are a member of an underrepresented minority group (optional). 1. DC Submission (4 pages max including references) A document describing your thesis/dissertation topic and research plan and your progress thus far. Key points the submission should include: ? motivation for your dissertation research ? goal and research questions ? related work that frames your research ? methods/approach to reach the goal ? results, if any ? next steps for your research 1. Questions to mentors and co-students (1 page max): List the main questions and discussion points regarding your thesis/dissertation topic for which you expect to receive feedback from the Doctoral Consortium mentors/participants. 1. Your CV (3 pages max) Provide an academic curriculum vitae (CV) document. ** How to format and submit ** Prepare your submission for review in a single column format, using the latest templates: Word Submission Template , or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. All materials must be submitted electronically to PCS 2.0 https://new.precisionconference.com/~sigchi by the Doctoral Consortium deadline. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "Doctoral Consortium", respectively, and press "Go". ** Important dates (AoE) ** * DC Contributions Submission Due: Jan 9, 2024 DC Consortium Chairs (dc2024 at iui.acm.org) * Paul Taele, Texas A&M University, USA * J?rgen Ziegler, University Duisburg-Essen, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Mon Dec 4 17:13:54 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Mon, 4 Dec 2023 22:13:54 +0000 Subject: Connectionists: [ACM IUI 2024] Call for Posters and Demos Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://iui.acm.org/2024/call_for_posters_demos.html **ACM IUI 2024 - Call for Posters and Demos** 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ ACM Conference on Intelligent User Interfaces (ACM IUI) 2024 is the 29th annual premiere venue, where researchers and practitioners will meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques, and systems. We welcome contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and machines, by leveraging both HCI approaches and state-of-the-art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contributions from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. **Posters** Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 7 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required but is recommended. Accepted poster papers will appear in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person. **Demos** The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Authors further need to submit a video (max. 5 mins) along with their demo paper to showcase their work. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person. Authors who submitted a long or short research paper are welcome to also propose a demo of their work to exemplify their work at the conference. **Submission Instructions** Up to 4 (Demo) or 7 (Poster) page paper (references do not count towards the page limit). Demo and poster submissions do not need to be anonymized. Submissions should follow the ACM Master Article Templates in a single column format. * We will adopt the ACM TAPS Workflow. * Prepare your submission for review in a single column format, using the latest templates: Word Submission Template , or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: https://dl.acm.org/ccs/ccs.cfm A video (up to 5 mins) is required for demo submissions. The video should showcase the system that will be demonstrated during the conference. Please follow the SIGCHI Technical Requirements and Guidelines for Videos. Please submit your demos and posters at http://new.precisionconference.com/~sigchi under the IUI 2024 Demos and Posters track. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "IUI 2024 Demos and Poster", respectively, and press "Go". ** Important dates (AoE) ** * Submission - January 9, 2024 * Notification to authors - January 30, 2024 * Camera-ready - February 8, 2024 Poster and demo chairs (posters2024 at iui.acm.org) * Marko Tkal?i?, University of Primorska * Hanna Hauptmann, Utrecht University -------------- next part -------------- An HTML attachment was scrubbed... URL: From tien-dung.nguyen at bccn-berlin.de Mon Dec 4 15:20:10 2023 From: tien-dung.nguyen at bccn-berlin.de (Tien Dung Nguyen) Date: Mon, 4 Dec 2023 21:20:10 +0100 (CET) Subject: Connectionists: =?utf-8?q?Call_for_Abstracts_=E2=80=93_Neural_Tra?= =?utf-8?q?ces_2024=3A_Advanced_M/EEG_Methods_and_Clinical_Applications_Wo?= =?utf-8?q?rkshop?= Message-ID: <1139718852.4002366.1701721210467.JavaMail.zimbra@bccn-berlin.de> Neural Traces 2024: Advanced M/EEG Methods and Clinical Applications Workshop April 10-12, 2024 @ PTB Berlin, Germany [ https://neuraltraces2024.org/ | https://neuraltraces2024.org ] | Submission deadline : January 8, 2024 | Registration opening : February 1, 2024 Please find the flyer attached to this email. Neural Traces is an onsite, three-day workshop on methods in electroencephalography and magnetoencephalography (M/EEG) and their clinical applications. Advances in M/EEG, and the methods employed to extract information from their corresponding signals, have increasingly contributed to our understanding of brain function and network connectivity. In this workshop, we review various methods that have been developed to enable accurate source imaging from these electrophysiological modalities. We also discuss M/EEG signal extraction and interpretation in the context of various neurological and psychiatric disorders. We are soliciting extended abstract submissions for contributed oral and poster presentations. Topics Suitable submissions may cover but are not limited to the following topics: I. Advanced M/EEG data analysis methods: * Signal processing and time series modeling * Forward and inverse modeling * Machine learning and multivariate modeling * Open science (software, data, standards, protocols, ...) II. Clinical applications of M/EEG: * Movement disorders * Aging and dementia * Psychiatric and developmental disorders * Epilepsy * Sleep and consciousness disorders Submission guidelines Title, author list and affiliations, 700-word (maximum) extended abstract outlining the study's background, approach, (preliminary) findings and significance, and references. Optional: figure with a 150-word (maximum) description Registration and on-site participation is required for presenters. Please visit [ https://neuraltraces2024.org/ | https://neuraltraces2024.org ] for abstract submission, registration, and further information about the workshop. Important dates * January 8, 2024: Abstract submission closes * February 1, 2024: Workshop registration opens Workshop hosts and support Neural Traces 2024 is organized by the Brain and Data Science Group at Charit?-Universit?tsmedizin Berlin, the Machine Learning and Inverse Modeling Group at PTB Berlin, and the Uncertainty, Inverse Modeling and Machine Learning (UNIML) Group at Technische Universit?t Berlin. The Workshop is partially supported by the European Research Council (Funding ID: 758985) and the Helmholtz Fund. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: call_for_abstracts_NeuralTraces2024.pdf Type: application/pdf Size: 1297135 bytes Desc: not available URL: From sebastien.destercke at hds.utc.fr Tue Dec 5 00:47:52 2023 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Tue, 5 Dec 2023 06:47:52 +0100 Subject: Connectionists: Next SIPTA Seminar: 12th December at 3pm Paris Time Message-ID: <370E2C79-5BD2-49DD-8B5B-4FEC885AA902@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 12th December (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82027992604 For this new seminar, we are very happy to have Daniel Kuhn as our speaker. Daniel Kuhn is Professor of Operations Research at the College of Management of Technology at EPFL, where he holds the Chair of Risk Analytics and Optimization. Daniel Kuhn research interests cover a wide range of optimisation problems, with a specific interest in optimisation under uncertainty and distributionally robust optimisation, a topic that directly connects to handling sets of probabilities. On the 12th of December, at 15:00 paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "On the Interplay of Optimal Transport and Distributionally Robust Optimization?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 12th of December, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=M676ZQ8uZvE See you at the seminar! S?bastien, Enrique and Jasper From info at icas.cc Tue Dec 5 03:00:48 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Tue, 5 Dec 2023 09:00:48 +0100 Subject: Connectionists: Save the Date: LOD 2024 1st CfP: 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: March 23 Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy LOD 2024, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders https://lod2024.icas.events/ lod at icas.cc SATELLITE EVENTS: 2nd International Meeting on Foundation Models - IMFM2024 https://lod2024.icas.events/imfm2024/ 1st Workshop AI in Life Sciences - WAILS2024 https://lod2024.icas.events/wails2024/ 24 TRACKS: https://lod2024.icas.events/tracks/ PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2024 *Paper Submission deadline: March 23 (Anywhere on Earth)* CALL FOR PAPERS: https://lod2024.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2024, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; LOD 2024 KEYNOTE SPEAKERS: Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA Topics: Large Language Models, Deep Learning, AI Johannes Schmidt-Hieber, University of Twente, The Netherlands Topics: Mathematics of Artificial Neural Networks, Biological Neural Networks, Deep Learning https://lod2024.icas.events/keynote/ PAST LOD KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ BEST PAPER AWARD: Springer sponsors the LOD 2024 Best Paper Award with a cash prize of 1,000 Euro. https://lod2024.icas.events/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2024.icas.events/program-committee/ VENUE: https://lod2024.icas.events/venue/ The venue of LOD 2024 will be Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany - Italy. LOD 2024 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043? Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://lod2024.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=lod2024 See you in the beautiful Tuscany in September! Best regards, LOD 2024 Organizing Committee. Past Editions: https://lod2024.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ https://lod2024.icas.events/ lod at icas.cc LOD2024 Poster: https://lod2024.icas.events/wp-content/uploads/sites/27/2023/11/LOD-2024-poster.png * Apologies for multiple copies. Please forward to anybody who might be interested * -- *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data ? LOD 2024, *22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod at icas.cc *Submission Deadline: March 23* *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience ? ACAIN 2024,* 22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain at icas.cc *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Dec 5 02:22:18 2023 From: hocine.cherifi at gmail.com (hocine Cherifi) Date: Tue, 5 Dec 2023 08:22:18 +0100 Subject: Connectionists: Apply to the Bertalanffy Doctoral Student Award Message-ID: *DOCTORAL STUDENT AWARD* *@ **FRCCS 2024* The Bertalanffy Doctoral Student Award is part of CSS FRANCE's global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at the French Regional Conference on Complex Systems FRCCS if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project *Important dates* ? Application deadline: *March 04, 2024* ? Notification to applicants: *April 02, 2024* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 500 euros is awarded to the winner. The award also covers the registration fee of FRCCS 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS 2024. For more information contact: hocine.cherifi at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Dec 4 10:53:23 2023 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 4 Dec 2023 15:53:23 +0000 Subject: Connectionists: =?windows-1252?q?4_year_fully-funded_PhD_students?= =?windows-1252?q?hip_in_ML_and_Parkinson=92s_disease_at_Nottingham?= Message-ID: A 4-year fully-funded PhD studentship with Prof Mark Humphries and Dr JeYoung Yung at the University Of Nottingham is available to start September 2024. ?Optimising patient selection for Deep Brain Stimulation in Parkinson?s disease using multimodal machine learning? Parkinson?s disease has debilitating motor symptoms of tremor in the limbs, slowness of movement, and freezing, unable to move. A highly effective treatment is electrical stimulation deep in the motor regions of the midbrain. But surgery for this deep brain stimulation is only offered to around 2% of all patients, and about a quarter of those who receive it have poor outcomes. Optimising the selection of patients for deep brain stimulation will widen access to treatment, improve treatment outcomes, and prevent harm. The goal of this project is to test how fusing clinical data, neuroimaging, and video assessments could optimise the selection of patients. The project will be in collaboration with MachineMedicine (London), a MedTech company specialising in Parkinson?s disease, and the movement disorders clinical team at St George?s Hospital, London. In joining this collaboration, the PhD student will be trained in data-science and machine learning tools, including how to extract and analyse MRI and fMRI data, in fusing data across modalities, and in developing a machine-learning pipeline for predicting patient outcomes. These predictions will be tested against the 12-month follow-up data from the St George?s trial patients. The student?s further training will include a 3-month placement at MachineMedicine, and visits to St George?s clinic. Closing date:12 noon (GMT) Friday 12th January 2024. For full studentship details and how to apply see here: https://more.bham.ac.uk/mrc-aim/phd-opportunities/ Send all enquires to mark.humphries at nottingham.ac.uk 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 ahqureshi.purdue at gmail.com Tue Dec 5 16:49:13 2023 From: ahqureshi.purdue at gmail.com (Ahmed Qureshi) Date: Tue, 5 Dec 2023 16:49:13 -0500 Subject: Connectionists: [jobs] PhD positions in Physics-Informed Robot Learning at Purdue CS Message-ID: Professor Ahmed H. Qureshi (https://qureshiahmed.github.io/) in the Department of Computer Science at Purdue University is seeking to fill several Ph.D. positions in robotics for the Fall 2024 session. The research will focus on cutting-edge topics in Robotics, including Reinforcement Learning for Physics-informed Neural Networks, Neural PDEs for Robot Motion Planning and Control, Deformable Object Manipulation, and Human-centered Robot Manipulation for Collaboration Tasks. Interested candidates must submit their application through the Purdue CS admission portal and indicate Professor Ahmed H. Qureshi as their primary advisor. Links: CoRAL Lab: https://corallab.net/ PurdueCS admissions: https://www.cs.purdue.edu/graduate/admission/steps.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From nagai.yukie at mail.u-tokyo.ac.jp Tue Dec 5 20:10:11 2023 From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp) Date: Wed, 6 Dec 2023 01:10:11 +0000 Subject: Connectionists: CFP - IEEE International Conference on Development and Learning 2024 (Deadline extension) Message-ID: <26885A88-0C4A-457B-A6E4-50BE7C3FA9FB@mail.u-tokyo.ac.jp> Dear colleagues, IEEE International Conference on Development and Learning 2024 May 20?23, 2024 Austin, TX, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for full paper submissions: December 15, 2023 January 8, 2024 (no further extension) Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 The IEEE International Conference on Development and Learning (ICDL) conference is a unique meeting gathering researchers from computer science, robotics, psychology, neuroscience, and other disciplines to share and discuss research on how humans and other animals learn and develop and how this can inform and be informed by robotics and machine learning systems. Full papers and other submissions are invited on a range of topics including but not limited to: ? Embodied learning and development in biological systems and robots ? Developmental stages and sensitive periods ? Emergence of verbal and nonverbal communication ? Curiosity, intrinsic motivations, exploration, play and active learning ? Architectures for lifelong learning ? Emergence of body and affordance perception ? Learning control of body movement ? Emotional development and the role of emotion in learning ? Prediction, planning, and problem solving ? The relationship between evolution and development ? Epistemological foundations and philosophical issues ? Robotic and computational models of human and animal development ? Developmentally-inspired machine learning ? Human-robot interaction in developmental contexts ? Applications of machine learning to human and animal development Submissions may take the form of full (6-page) papers, 1-page poster abstracts, journal track posters, and workshops or tutorials. Please see below for details on each submission type. Decisions regarding acceptance will be based on technical quality, novelty, and expected interest to the conference?s interdisciplinary audience. In addition to talks and posters originating from these submissions, the conference will feature a keynote speaker as well as several invited symposia showcasing recent research on a set of themes, with different disciplines and perspectives featured, to prompt lively and productive discussion at the conference. [ Submission types ] ? Full six-page papers Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. Up to two extra pages are acceptable for a publication fee of $100 per page. Accepted papers will be invited for presentation either in oral or poster format. ? Workshops & Tutorials Half-day workshop and tutorials will be held on May 20, 2024 (the first day of the meeting). Proposals should be no more than two pages and should include a title, an abstract, a description of the workshop or tutorial concept, the target audience, a list of presenters, information on whether the session will be open to paper or poster submission, and a link to the workshop or tutorial website if applicable. ? 1-page poster abstracts To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. ? Journal-track posters Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. More detailed instruction regarding paper/abstract submissions is given in the conference website. Best regards, Yukie Nagai, on behalf of the organizing committees ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Wed Dec 6 07:53:58 2023 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Wed, 6 Dec 2023 13:53:58 +0100 Subject: Connectionists: [jobs] 2 four year PhD Scholarships at International Graduate School of Neuroscience in Bochum, Germany Message-ID: Dear All, the International Graduate School of Neuroscience (https://www.ruhr-uni-bochum.de/igsn/index.html) at Ruhr University Bochum (https://www.ruhr-uni-bochum.de/de) offers two four year PhD Scholarships financed through the DAAD (https://www.daad.de/en/) for experimentalists as well as computational people. For details see: * General Information: https://www.ruhr-uni-bochum.de/igsn/admission/daad-information.html * Requirements: https://www.ruhr-uni-bochum.de/igsn/admission/daad-requirements.html + Please read this carefully before applying. * Application: https://www.ruhr-uni-bochum.de/igsn/admission/daad-application.html + Deadline is 31.1.2024 Best, Laurenz Wiskott. __________________________________________________________________________ Prof. Dr. Laurenz Wiskott room: NB 3/29 Institut f?r Neuroinformatik phone: +49 234 32-27997 Fakult?t f?r Informatik fax: +49 234 32-14210 Ruhr Universit?t Bochum laurenz.wiskott at rub.de D-44780 Bochum, Germany https://www.ini.rub.de/PEOPLE/wiskott/ __________________________________________________________________________ From Donald.Adjeroh at mail.wvu.edu Wed Dec 6 04:51:33 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 6 Dec 2023 09:51:33 +0000 Subject: Connectionists: IEEE BIBM-LncRNA'23 -- 1 day to go; See updated Program Schedule In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... --------------------------------------------------------------------------------------------------- All, BIBM'2023 is already underway !! Our 5th IEEE BIBM-LncRNA Workshop will be held tomorrow, Thursday, Dec. 6, 2023. This is a whole-day workshop, and we have a full schedule, including keynote, plenary and invited presentations, and also our traditional Panel Discussion session. We wanted to notify you of the updated Program Schedule for the workshop. Please visit the workshop website, and check the schedule for the papers and other presentations: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ Note that we have to change and also reduce the presentation time for some of the papers to accommodate BIBM's relatively short schedule on December 7, 2023, given the Banquet and the accompanying Keynote presentation. Thank you once again for your interest in this year's BIBM-LncRNA workshop. If you have questions, please do not hesitate to contact us. Workshop Chairs ________________________________ From: Donald Adjeroh Sent: Saturday, November 18, 2023 12:34 PM To: don at csee.wvu.edu Subject: Call for Participation -- IEEE BIBM-LncRNA'23. See our array of speakers !! Apologies if you receive multiple copies ... --------------------------------------------------------------------------------------------------- The program for the 5th IEEE BIBM-LncRNA Workshop is now available. Please check the workshop webpage at: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ ---------------------------------------------------------------------------------------------------- Highlights: We have an exciting array of speakers for the workshop !! 2 Keynotes: * David Corey, PhD, UT Southwestern Medical Center Dallas, TX, USA * Sathyanarayanan V PuthanveettSathyanarayanan V PuthanveettilSathyanarayanan V Puthanveettil, PhD, University of Florida, Florida, USA 1 Plenary Talk: * Ranjan Perera, PhD, Johns Hopkins University School of Medicine, Baltimore, MD, USA 1 Invited Speaker: * Ivan Martinez, PhD, West Virginia University, Morgantown, WV, USA One "round-table" panel of experts in the field Presentation of accepted papers See our website: BIBM- LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ More details below .... The 5th IEEE BIBM Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Dec. 5 - 8, 2023, in Istanbul, Turkey. BIBM-LncRNA'2023 will be held on Dec 7, 2023. Please see the website below for the program schedule and speakers: BIBM-LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ IEEE BIBM 2023: https://ieeebibm.org/BIBM2023/ Fellowships: BIBM usually provides limited fellowships to support the participation of students, and of researchers from underrepresented minority groups at the conference. Please check with BIBM Program chairs, via the above website -- https://ieeebibm.org/BIBM2023/ Journal Special Issue: Pending final approval by the journal, authors of selected submissions will be invited to extend their papers for submission for review and possible publication in a special issue of the journal -- Non-Coding RNA. https://www.mdpi.com/journal/ncrna Important Dates: Dec 5-8, 2023: IEEE BIBM conference and workshops Dec: 7, BIBM-LncRNA Workshop BIBM-LncRNA'23 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathieu.desroches at inria.fr Wed Dec 6 06:30:38 2023 From: mathieu.desroches at inria.fr (Mathieu Desroches) Date: Wed, 6 Dec 2023 12:30:38 +0100 Subject: Connectionists: Postdoc on Dravet syndrome modeling: Inria (Montpellier, France) and BCAM (Bilbao, Spain) Message-ID: <01DD96AC-5583-4188-BEE8-45704DF824FC@inria.fr> Dear all, We have funds for a two-year postdoc on Dravet syndrome modeling. This is part of an international collaboration between Inria (Bordeaux, Montpellier, Sophia Antipolis, France) and BCAM - the Basque Center for Applied Mathematics (Bilbao, Spain), involving Fabien Campillo , Pierre Del Moral , Mathieu Desroches and Serafim Rodrigues . The postdoc will be based at Inria, in Montpellier. The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience and Markov processes. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page (deadline: Dec. 31st): https://jobs.inria.fr/public/classic/en/offres/2023-06688 https://jobs.inria.fr/public/classic/en/offres/2023-06688? https://jobs.inria.fr/public/classic/en/offres/2023-06688 If you have any questions, do not hesitate to contact us directly: Fabien Campillo: fabien.campillo at inria.fr Mathieu Desroches: mathieu.desroches at inria.fr Best, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro Project Team Leader Centre Inria d'Universit? C?te d'Azur, 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... 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Name: inr_logo_rouge_petit.png Type: image/png Size: 7716 bytes Desc: not available URL: From wanling.cai at tcd.ie Wed Dec 6 12:30:21 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 6 Dec 2023 17:30:21 +0000 Subject: Connectionists: ACM UMAP 2024 - Call for Workshop Proposals Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-workshop/ ACM UMAP 2024 - Call for Workshop Proposals ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is pleased to invite proposals for workshops to be held in conjunction with the conference. The workshops will provide a venue to discuss and explore key emerging areas of user modeling, recommender systems and adaptive hypermedia research, among others, with a group of like-minded researchers and practitioners from industry and academia. Please consult the ACM UMAP 2024 general call for full and short papers concerning the key topics of this call as well. In this edition, our goal is to have a balanced workshop program, comprising different workshop formats and combining newly emerging, currently evolving, and established research topics. Workshops are encouraged to be as dynamic and interactive as possible. Different full-day and half-day workshop schemas are possible, such as: * Working group meetings around a specific problem or topic where participants are asked to submit a white paper or position statement. * Traditional mini-conferences on key, emerging, specialized topics, having their own paper submission and review processes. * Mini-competitions or research challenges around selected topics, with either individual or team participation and their own evaluation processes * Interactive discussion meetings focusing on subtopics of the main conference general tracks, with interactivity and engagement in mind. * Joint panels aiming to synthesize insights from diverse perspectives by bringing together experts from different workshops or sessions. ** Important Dates ** * Workshop Proposal Submission: January 11, 2024 * Notification: February 1, 2024 * Workshop Description & Website URL Submission: February 24, 2024 * Workshop Summary Camera-ready Submission (TAPS system): May 16, 2024 * Workshop Day: July TBD, 2024 (it will happen in one of the conference days) We strongly encourage the organizers of accepted workshops to diligently follow the suggested deadlines in the schedule for the authors of workshop papers: * (Suggested) 1st Call for Workshop Papers: February 28, 2024 * (Suggested) 2nd Call for Workshop Papers: April 13, 2024 * (Suggested) Workshop Paper Submission: April 24, 2024 * (Suggested) Notification: May 8, 2024 * (Mandatory) Workshop Papers Camera-ready Submission (TAPS system): May 16, 2024 These dates are synchronized with the notification of paper acceptance in the main conference track, and the availability of early registration for the authors of accepted workshop papers. Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All workshop proposals must be written in English. Proposals should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Workshop and Tutorial Proposals? track. ** Length and Formatting ** *Format*: Each proposal should be arranged into a single PDF document, not exceeding 5 pages (references included). *Template*: Following the ACM Publication Workflow, the proposal should be arranged based on the new ACM single-column format. Instructions for the organizers are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Structure*: Each proposal is expected to include the following information: * Workshop title and acronym. * Workshop chair(s), including, for each organizer, their affiliation, main email address, website link, and experiences in organizing such events. Note that organizers are expected to attend the workshop and be actively involved in its organization. * Abstract (up to 300 words) and topics of interest. * Keywords (at least 3). * Motivation on why the workshop is of particular interest at this time and how it complements (rather than duplicates) the topics of the main conference. * Workshop format, particularly discussing the mix of expected events, such as paper presentations, invited talks, panels, and general discussions. * Short description of the intended audience and the expected number of participants, including how they will be selected. * List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal). The program committee is mandatory. * Requested duration (half day or full day). * When available, past editions of the workshop, including their website URLs, a brief statement on the development of the workshop series, e.g., in terms of topics, number of paper submissions and participants, post-workshop publications over the years and acceptance statistics. * If this would be the first edition of the workshop, a description of how this workshop differs from others on the same or similar topics (include conference name and year). * Any other relevant information to support your proposal. ** Instructions ** *Support*: We encourage both researchers and industry practitioners to submit workshop proposals. Researchers interested in submitting a workshop proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for workshop proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. *Diversity*: We strongly suggest involving organizers from different institutions, bringing their different perspectives to the workshop topic. We welcome workshops with a creative structure that may attract various types of participants and may ensure rich interactions. *Expectations*: The organizers of accepted workshops are expected to set up a webpage for the workshop including detailed information about the workshop organization and timeline, disseminate a call for papers, a call for participation, select reviewers, and gather reviews before selecting the final program. They will be responsible for their own publicity and reviewing processes. *Proceedings*: There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. A camera-ready summary of the workshop should be written by the organizers to be included in these adjunct proceedings. Moreover, all workshop papers will be published in the same proceedings. Hence, the workshop organizers will need to make sure that the authors of workshop papers adhere to the adjunct proceedings publication timeline. *Camera-ready Information*: Accepted summaries/papers will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the summaries/papers will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted workshop summary must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each workshop has to be run by all organizers. Therefore, each workshop organizer must be registered (at least 25% in person, the remaining online). Each accepted workshop summary will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. Each accepted workshop paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted workshop paper can be presented either in person or online and will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Workshop Chairs ** * Amra Delic, University of Sarajevo, Bosnia and Herzegovina * Eelco Herder, University of Utrecht, The Netherlands * Noemi Mauro, University of Turin, Italy Contact information: umap2024-wt at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From amartino at luiss.it Thu Dec 7 09:28:16 2023 From: amartino at luiss.it (Alessio Martino) Date: Thu, 7 Dec 2023 14:28:16 +0000 Subject: Connectionists: IEEE WCCI/IJCNN 2024 Special Session on Artificial Intelligence and Complex Systems Message-ID: <6E968330-5614-4E44-9C8B-A88F6B37FEF7@luiss.it> Dear Colleagues, We are inviting you to submit your research work to *WCCI 2024 * Special Session *Artificial Intelligence and Complex Systems* We would appreciate if you forward this CfP to friends and colleagues that might be interested. ******************************************************************************* *Special Session on Artificial Intelligence and Complex Systems* *IEEE World Congress on Computational Intelligence (IEEE WCCI)* *June 30th-July 5th, 2024. Venue - Yokohama, Japan.* ******************************************************************************* SCOPE and TOPICS The special session aims to explore the intricate relationship between Artificial Intelligence (AI) and complex systems through Complexity Theory, delving into the understanding of modern AI systems such as deep learning architectures and large language models (e.g., GPT/ChatGPT, BARD, Llama, Anthropic, etc.) as complex dynamic systems. With a focus on stochastic processes, explainable AI, cognitive approaches, multimodal learning, AI and security, and AI and bias, the session will serve as a multidisciplinary platform that extends beyond engineering to include cognitive science, linguistics, philosophy, and other relevant fields. Specifically, we welcome researchers and engineers in AI and complex systems theory, cognitive scientists, linguists, and philosophers as well as industry professionals seeking to apply complexity theory in AI solutions to submit their works to this special session to investigate on the following four objectives: - To investigate how Complexity Theory can offer invaluable tools for analyzing AI systems, particularly in the context of dynamic behavior, emergent properties, and stochastic processes. - To explore how AI can be employed to study and understand complex systems, including information granulation (Granular Computing) and multi-agent environments. - To establish new methodologies for measuring the intelligence and linguistic understanding of AI systems through the lens of Complexity Theory. - To discuss the future directions and next steps in the intersection of AI and Complexity Theory in reaching artificial general intelligence (AGI). Topics of interest include (but are not limited to): - Emergent Behavior and Stochastic Processes in AI Systems: Understanding how complex systems theory can explain the adaptive, emergent characteristics and stochastic outputs of AI. - Multifractal and Stochastic Analysis of AI: Utilizing complexity theory for the multifractal and stochastic analysis of AI systems. - Dynamic Systems Theory in AI: How dynamic systems theory can be applied to AI for better system analysis and prediction. - Explainable AI: Investigating methods for making complex AI systems understandable and interpretable. - Cognitive Approach in AI: Exploring how cognitive science can inform and improve AI systems. - Multimodal Learning: The role of multimodal learning in enhancing the capabilities of AI systems. - AI in Multi-Agent Complex Systems: Exploring the role of AI in the study and understanding of multi-agent complex systems. - AI and Security: Discussing the implications of complexity theory for AI in cybersecurity. - AI and Bias: Addressing the challenges and solutions for bias in AI systems. - Linguistic and Philosophical Aspects: Investigating the implications of complexity in AI for language models, meaning, and other linguistic aspects, as well as philosophical considerations. ******************************************************************************* IMPORTANT DATES * Paper Submission Deadline: January 15th, 2024 * Paper Acceptance Notification: March 15th, 2024 * Final Paper Submission & Early Registration: May 1st, 2024 ******************************************************************************* SUBMISSION GUIDELINES The submission procedure, deadlines, and paper format are the same as the *IEEE WCCI 2024 *main conference. In particular, we recall that papers must be submitted through the *IEEE WCCI 2024* online submission system and selecting the "Special Session Papers" track on IJCNN 2024. At submission stage, make sure to select "Special Session: AICS: Artificial Intelligence and Complex Systems" amongst the Topics. ******************************************************************************* ORGANIZERS and CONTACT - *Prof. Alessio Martino* ? LUISS University, Rome, Italy Email: amartino at luiss.it - *Prof. Enrico De Santis* ? Sapienza University of Rome, Italy Email: enrico.desantis at uniroma1.it - *Prof. Antonello Rizzi* ? Sapienza University of Rome, Italy Email: antonello.rizzi at uniroma1.it Official Special Session Website: ________________________________________ Alessio Martino, PhD Assistant Professor of Computer Science LUISS Guido Carli University Department of Business and Management Viale Romania 32, 00197 Rome, Italy (Room 539) Phone: (+39) 06-85225957 E-mail: amartino at luiss.it La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. ? vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Thu Dec 7 11:33:36 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Thu, 7 Dec 2023 16:33:36 +0000 Subject: Connectionists: ACM UMAP 2024 - Call for Tutorial Proposals Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-tutorial/ ACM UMAP 2024 - Call for Tutorial Proposals ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is pleased to invite proposals for tutorials to be given in conjunction with the conference. Tutorials are expected to be instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community. An ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Tutorials are encouraged to be as dynamic and interactive as possible. Example topics of interest include, but are not limited to: * User modeling in the era of generative artificial intelligence. * Responsible user modeling and personalization. * Effective evaluation of personalized applications. * Strategies to let users be in control of the personalization process. Tutorial presenters can have 4 pages + 1 for references in the adjunct proceedings. ** Important Dates ** ? Tutorial Proposal Submission: January 11, 2024 ? Notification: February 1, 2024 ? Tutorial Description & Website URL Submission: February 24, 2024 ? Tutorial Summary Camera-ready Submission (TAPS system): May 16, 2024 Note: The submission deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All tutorial proposals must be written in English. Proposals should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Workshop and Tutorial Proposals? track. ** Length and Formatting ** *Format*. Each proposal should be arranged into a single PDF document, not exceeding 5 pages (references included). *Template*. Following the ACM Publication Workflow, the proposal should be arranged based on the new ACM single-column format. Instructions for the organizers are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word. Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Structure*. The proposal should include the following information: * Title and abstract of the tutorial (200 words maximum). * Tutorial description: ? Learning objectives of the tutorial and relevance to ACM UMAP 2024. ? Targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills. ? Brief outline of the tutorial structure. ? Brief description of the practical sessions. * Tutorial length (ideally 1 hour and a half). * Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions, and from other tutorials on the same or similar topics (please specify conference name and year). * Name, email address, affiliation and brief professional biography of each tutorial organizer, indicating previous training and speaking experience. *Evaluation Criteria*. All proposals will be reviewed by the ACM UMAP 2024 Tutorial Chairs. The features that will be evaluated are: * ability of the tutorial to contribute to strengthening the foundations of UMAP research. * clarity of the tutorial, which should emerge from its description. * good organization, as appearing from the outline. * the value of any materials released with the tutorial for the community. * background/experience of tutorial instructor(s) in teaching the target topics. ** Instructions ** *Support*. We encourage both researchers and industry practitioners to submit tutorial proposals. Researchers interested in submitting a tutorial proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for tutorial proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. *Diversity*. We strongly suggest involving organizers from different institutions, bringing their different perspectives to the tutorial topic. We welcome tutorials with a creative structure that may attract various types of participants and may ensure rich interactions. *Expectations*. The organizers of accepted tutorials are expected to set up a webpage for the tutorial including detailed information about the tutorial organization and timeline, and disseminate a call for participation. They will be responsible for their own publicity. *Proceedings*. There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. A camera-ready summary of the tutorial should be written by the organizers to be included in these adjunct proceedings. *Camera-ready Information*. Accepted summaries will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the summaries will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted tutorial summary must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each tutorial has to be run by all organizers. Therefore, each tutorial organizer must be registered (at least 25% in person, the remaining online). Each accepted tutorial summary will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Tutorial Chairs ** * Amra Delic, University of Sarajevo, Bosnia and Herzegovina * Eelco Herder, University of Utrecht, The Netherlands * Noemi Mauro, University of Turin, Italy Contact information: umap2024-wt at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Thu Dec 7 09:47:44 2023 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Thu, 7 Dec 2023 15:47:44 +0100 Subject: Connectionists: Workshop of Ideas in Neuroscience: Origins of Order in Behaviour Message-ID: Dear Colleagues! We are happy to announce the second Workshop of Ideas in 2024! On April 19-21th in Warsaw, we will discuss the *origins of order in behaviour.* Animal behaviour seems, almost by definition, flexible and variable. But it is ? at the same time ? stable, predictable and robust. Migratory birds in every generation make the same travel between distant lands, finding the same spot without previous experience. Different species of Peromyscus mice dig burrows that are highly stereotyped. Human languages around the globe hold many universals. Where does this order come from? The goal of our workshop is to discuss the *different ways in which animal behaviour can be canalized*. We want to talk about genetic influences on behaviour, the way the environment shapes behavioural development and the newest computational methods that allow us to model the evolution and the development of behaviour. The workshop will be organized on April 19-21th in Jazd?w estate, in Finnish wooden house run by NGOs that host workshops, seminars, and conferences (Otwarta Pracownia Jazd?w). Please find more information here: https://nenckiopenlab.org/origins_of_order/ Best! Mateusz Kotecki -------------- next part -------------- An HTML attachment was scrubbed... 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Name: plakat_origins_2024_Plakat A3 kopia 2 (1).jpg Type: image/jpeg Size: 5804265 bytes Desc: not available URL: From ioannakoroni at csd.auth.gr Thu Dec 7 07:33:32 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 7 Dec 2023 14:33:32 +0200 Subject: Connectionists: AIIA/AIDA Winter School on Deep Learning, Big Data Analytics and Drone Imaging for Industrial Surveillance and Civil Protection Applications (free registration) In-Reply-To: References: Message-ID: <35907bd8-449b-4fc4-a578-28df2f29d0c6@csd.auth.gr> Dear AI/CS/ECEstudent/scientist/engineer/enthusiast, the Artificial Intelligence and Information Analysis (AIIA ) Lab of Aristotle University of Thessaloniki?(AUTH), in cooperation with the International AI Doctoral Academy (AIDA ),?offers the?hybrid (on-site, remote)?2023 ?*AIIA/AIDA Winter School on Deep Learning, Big Data Analytics and Drone Imaging for Industrial Surveillance and Civil Protection Applications *? comprising two short courses: 1. Short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection :?Drone Imaging for infrastructure inspection and surveillance, e.g., for damage detection in industrial pipelines and electrical installations. *12 December 2023*??a) on - site attendance in KEDEA ?building, AUTH, Thessaloniki, Greece?or b) remote participation via _Zoom _?(405011). Register in advance?in this course*for?fr**ee *through the above-mentioned short course www page . 2. Short course on Big Data Analytics for Natural Disaster Management :?Big Data Analytics for Natural Disaster Management (NDM), e.g., of forest fires and floods. In such cases, drone images are complemented with satellite images, meteorological data, maps and social media posts to form big data chunks that must be co-analyzed for efficient NDM. *13 December 2023 **??*a) on - site attendance in KEDEA ?building, AUTH, Thessaloniki, Greece?or b) remote participation via _Zoom _?(405011). Register in advance in this course*?for?free *through the above-mentioned short coursewww page . Prospective attendees can register in one or both short courses. Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed?to register. These short courses are organized by the Horizon Europe R&D projects _SIMAR _and TEMA , respectively. 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 -- This email has been checked for viruses by Avast antivirus software. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Thu Dec 7 14:53:42 2023 From: jimtoer at ifi.uio.no (=?iso-8859-1?Q?Jim_T=F8rresen?=) Date: Thu, 7 Dec 2023 19:53:42 +0000 Subject: Connectionists: [CFP] 13th IFIP International Conference on Intelligent Information Processing (IIP2024) Message-ID: Dear Colleagues, 13th IFIP International Conference on Intelligent Information Processing (IIP2024) will be held in May 3-6, 2024, Shenzhen, China. We welcome you to submit a paper with your latest research findings in any aspects of intelligent information processing. All papers should be sent electronically to the EasyChair paper management system https://easychair.org/conferences/?conf=iip2024 or through the IIP2024 Website (http://mi.hitsz.edu.cn/iip2024.htm). All accepted papers will be included in a proceedings published by Springer. Submission deadline is 18 December 2023. Best regards, Zhongzhi Shi, Jim Torresen, Shengxiang Yang and Xin Yao -------------- next part -------------- An HTML attachment was scrubbed... URL: From jan_melechovsky at mymail.sutd.edu.sg Fri Dec 8 00:30:33 2023 From: jan_melechovsky at mymail.sutd.edu.sg (Jan Melechovsky) Date: Fri, 8 Dec 2023 05:30:33 +0000 Subject: Connectionists: [Call for participants] Text2Music listeners wanted Message-ID: Dear community, We hope this message finds you in good spirits! We're reaching out to you to participate in a listening test for evaluating our AI music generation model from text-prompts. You'll be asked to rate 45 short music fragments, each lasting 10 seconds. (Estimated duration: 10-25 min) How to Participate: Simply click on the link below to access the evaluation form: https://www.psytoolkit.org/c/3.4.4/survey?s=xkJJH Thank you for your enthusiasm and valuable contribution! Best regards, Mr. Jan Melechovsky & Prof. Dorien Herremans This email may contain confidential and/or proprietary information that is exempt from disclosure under applicable law and is intended for receipt and use solely by the addressee(s) named above. If you are not the intended recipient, you are notified that any use, dissemination, distribution, or copying of this email, or any attachment, is strictly prohibited. Please delete the email immediately and inform the sender. Thank You The above message may contain confidential and/or proprietary information that is exempt from disclosure under applicable law and is intended for receipt and use solely by the addressee(s) named above. If you are not the intended recipient, you are hereby notified that any use, dissemination, distribution, or copying of this message, or any attachment, is strictly prohibited. If you have received this email in error, please inform the sender immediately by reply e-mail or telephone, reversing the charge if necessary. Please delete the message thereafter. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Thu Dec 7 18:52:46 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Thu, 7 Dec 2023 23:52:46 +0000 Subject: Connectionists: ACM UMAP 2024 - Call for Doctoral Consortium Papers Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-doctoral-consortium-papers/ ACM UMAP 2024 - Call for Doctoral Consortium Papers ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. The ACM UMAP 2024 Doctoral Consortium (DC) will take place as part of the conference. The DC provides an opportunity for doctoral students to explore and develop their research interests under the guidance of distinguished researchers and industry practitioners from the field. Doctoral students are invited to apply for presenting their research to experienced scholars who will provide constructive feedback and advice. Students should consider participating in the DC if they are at least one year away from completing their dissertation at the time of the event, but after having settled on a research area or dissertation topic. This forum will provide doctoral students with an opportunity to: * Present and discuss their research ideas to experienced scholars in a supportive, formative, and yet critical environment. * Explore and develop their research interests under the guidance of distinguished researchers from the field who will provide constructive feedback and advice. * Explore career pathways available after completing their doctoral degree. * Network and build collaborations with other members of the community. Students are asked to submit a brief proposal outlining their doctoral research (see detailed requirements below), which will be evaluated by the doctoral consortium committee. Good quality applications will be selected for presentation at a DC session as part of the conference. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student?s work. A mentoring session will take place during the conference, and the DC students are expected to attend. ** Important Dates ** Paper Submission: March 28, 2024 Notification: April 26, 2024 Camera-ready Submission (TAPS system): May 9, 2024 Conference: July 1 ? 4, 2024 DC Day: July TBD, 2024 (it will happen in one of the conference days) Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All submissions must be written in English. Submissions should be a single PDF document consisting of: (i) the recommendation letter, (ii) the research description, and (iii) the curriculum vitae. This PDF document should be submitted electronically through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Doctoral Consortium Papers? track. ** Length and Formatting ** Format and Content Guidelines. Consult the ACM UMAP 2024 general call for full and short papers concerning the key topics of this call as well. Each proposal should be a single PDF document, with three required components: (i) a recommendation letter, (ii) a description of your doctoral path, (iii) and a curriculum vitae. If you are unable to obtain a letter of recommendation from your dissertation advisor, please include a short explanation. Specifically, for each component, please consider the following instructions: 1. Letter of Recommendation (from your primary dissertation advisor, in any format): * Describe your interaction with the student and your assessment of the quality of their work. Explain how the ACM UMAP 2024 doctoral consortium would benefit this student at this point in their doctoral program, as well as the contributions you expect the student to make to the group. * The DC targets students who have a clear idea of their research plans and have started their research but have not yet executed a majority of their research. Please explain the structure of your student?s program and their expected level of progress by July 2024. * Recall that students who are unable to obtain a letter of recommendation from their dissertation advisor (or the equivalent) should instead include a short explanation and a description of where the student is in their doctoral progress and the anticipated timeline. 1. Research description (6 pages at most plus additional pages for references; figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit): using a single-column manuscript formatted according to the guidelines discussed below, please include the following: * Your name, advisor(s) name(s), and the university where you are conducting your doctoral work. * Current year of study and projected completion date (plus information about the regulations of your doctoral program regarding length, any part-time study, etc.). * Context and motivation for your research. * Key related work that frames your research. * Specific research objectives, goals, or questions. * Research approach, methods, and rationale. * Results and contributions to date. * Expected next steps. * Dissertation status and long-term goals. 1. Curriculum vitae (2 pages at most, in any format): a concise summary of your current curriculum vitae, including research publications. Clearly separate published papers from those under review or in press. Please ensure that your submission is complete and conforms to the format and content guidelines above. Submissions that do not meet these requirements will be desk-rejected. *Single-Blind Policy*. Proposals will be reviewed single-blind and, therefore, do not need to be anonymized before submission. *Template for the Research Description*. Following the ACM Publication Workflow, the research description component should be arranged based on the new ACM single-column format. Instructions for students are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Accessibility*. DC students are strongly encouraged to provide ?alt text? (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author?s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures. *Submission Policy*. Please consider the following ACM?s publication policies: 1. ?By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM?s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.? 2. ?Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.? *Camera-ready Information*. Accepted proposals (i.e., the research description component) will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted proposal in the doctoral consortium track must be accompanied by a distinct full author registration, completed by the doctoral student by the early registration date cut-off. Each accepted proposal must be presented in person in the doctoral consortium session to be included in the conference proceedings, published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Financial Support ** ACM UMAP has a long history of supporting students who want to attend the conference. Doctoral students of the accepted DC proposals will have higher priority for the ACM UMAP grant applications. Please periodically consult the page that summarizes grants and support opportunities, available at https://www.um.org/umap2024/grants-and-support/. ** Doctoral Consortium Chairs ** * Martijn C. Willemsen, Eindhoven University of Technology & JADS, The Netherlands * Styliani Kleanthous, CYENS CoE and Open University of Cyprus, Cyprus * Rodrygo Santos, Universidade Federal de Minas Gerais, Brazil Contact information: umap2024-dc at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.jeggle at env.ethz.ch Fri Dec 8 03:32:06 2023 From: kai.jeggle at env.ethz.ch (Kai Jeggle) Date: Fri, 8 Dec 2023 09:32:06 +0100 Subject: Connectionists: Tackling Climate Change with Machine Learning workshop at NeurIPS 2023 | FREE livestream Message-ID: The *Tackling Climate Change with Machine Learning workshop at NeurIPS 2023* is approaching fast! We are excited to welcome you on December 16 8:15 AM CST for a full day of talks, panels, and loads of discussions around how we can use AI and machine learning to tackle climate change. We are excited to offer a *FREE livestream * (available on the day of the workshop) for everyone around the globe. Feel free to share this link with your network. If you u are attending NeurIPS, make sure to join us in the Great Hall (level 1). More info on the CCAI website | Add the event to your calendar now NeurIPS 2023 Workshop Team: Rasika Bhalerao (Northeastern University) Mark Roth (Climate LLC) Kai Jeggle (ETH Zurich) Shiva Madadkhani (Technical University of Munich) Jorge Montalvo (Centrica) Yoshua Bengio (Mila, UdeM) -- *Kai Jeggle* Ph.D. Candidate, ETH Zurich, Institute for Atmospheric and Climate Science Communications Vice-Chair, Climate Change AI -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Thu Dec 7 18:51:29 2023 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Thu, 7 Dec 2023 18:51:29 -0500 Subject: Connectionists: [CFP] 3rd Conference on Lifelong Learning Agents (CoLLAs) 2024 - Deadline Feb 15 Message-ID: Dear All, We invite submissions to the *3rd Conference on Lifelong Learning Agents (CoLLAs) * that describe new theories, methodologies, applications, or insights into existing algorithms and benchmarks for learning in non i.i.d. and non-stationary settings. Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR). Topics of submission may include, but are not limited to, Reinforcement Learning, Supervised Learning, Self-supervised Learning, or Unsupervised Learning approaches for: - Lifelong Learning / Continual Learning - Meta-Learning - Multi-Task Learning - Transfer Learning - Curriculum Learning - Domain Adaptation - Few-Shot Learning - Out-Of-Distribution Generalization - Online Learning - Active Learning The conference also welcomes submissions at the intersection of machine learning and neuroscience and applications of the topics of interest to real-world problems. Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential, as well as in-depth analysis of existing methods and concepts. CoLLAs 2024 will be held in Pisa, Italy at Polo Didattico San Rossore 1938, a facility provided by the University of Pisa. For any questions about the conference, you can contact us at contact at lifelong-ml.cc. Key Dates: The planned dates are as follows: - Abstract deadline: February 09, 2024, 11:59 pm (Anywhere on Earth, AoE) - Paper submission deadline: February 15, 2024, 11:59 pm (AoE) - Reviews released: March 25, 2024 - Author rebuttals due: April 05, 2024 - Notifications of decision: April 25, 2024 - Resubmission deadline: May 25, 2024, 11:59 pm (AoE) - Decisions on resubmissions: June 10, 2024 - Main Conference: July 29 - August 01, 2024 Review Process Papers will be selected via a double-blind peer-review process. All accepted papers will be presented at the conference as contributed talks or as posters and will be published in the Proceedings (PMLR). The reviews process will be hosted on OpenReview with submissions and reviews being private until a decision is made. In addition to accept/reject, a paper can be marked for conditional acceptance. In this case, the authors have a fixed amount of time to incorporate a clear list of demands from the Program Chairs, and if these updates are present, the paper will automatically get accepted. Rejected papers that initially received a conditional acceptance (where authors decided not to add the required modifications) can be presented in the workshop track if the authors choose to. The authors will still be able to present a poster on their work as part of this track. This system aims to produce a fairer treatment of borderline papers and to save the time spent going through the entire reviewing process when resubmitting to a future edition of the conference or a different relevant conference. During the rebuttal period, authors are allowed to update their papers once. All updates should be clearly marked using the macros provided in the LaTex style files. However, reviewers are not required to read the new version. Formatting and Supplementary Material Submissions should have a recommended length of 9 single-column CoLLAs-formatted pages, plus unlimited pages for references and appendices. We enforce a maximum length of 10 pages, where the 10th page can be used if it helps with the formatting of the paper. The camera-ready version will have a strict 10-page limit. Accordingly, we ask you not to use the entire 10th page during the initial submission. The appendices should be within the same PDF file as the main publication, however, an additional zip file can be submitted that can include multiple files of different formats (e.g., videos or code). Note that reviewers are under no obligation to examine the appendix and the supplementary material. Please format the paper using the official LaTeX style files that can be found on Overleaf here or on Git Hub here . We do not support submissions in formats other than LaTeX. Please do not modify the layout given by the style file. For any questions, you can reach us at: contact at lifelong-ml.cc. Submissions will be through OpenReview: https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2024/Conference Complete CFP can be found here: https://lifelong-ml.cc/Conferences/2024/call Regards, Sarath Chandar, Razvan Pascanu (CoLLAs 2024 General Chairs) Vincenzo Lomonaco, Stefano Melacci, Tinne Tuytelaars (CoLLAs 2024 Program Chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Dec 8 21:00:55 2023 From: terry at salk.edu (terry) Date: Fri, 8 Dec 2023 18:00:55 -0800 Subject: Connectionists: NEURAL COMPUTATION - December 1, 2023 Message-ID: <60cb8d35-faa6-4b7a-8b90-fa214b0f9ef3@salk.edu> NEURAL COMPUTATION - Volume 35, Number 12 - December 1, 2023 Now available for online download: http://www.mitpressjournals.org/toc/neco/35/12 http://cognet.mit.edu/content/neural-computation ----- Articles Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation Zafeirios Fountas, Umais Zahid, and Qinghai Guo Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations? Hojin Jang, Syed Suleman Abbas Zaidi, Xavier Boix, Neeraj Prasad, Sharon Gilad-Gutnick Letters Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs Emma Wilson Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, and Ichiro Takeuchi Training a HyperDimensional Computing Classifier Using a Threshold on Its Confidence Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, and Steven Latr? ----- 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 triesch at fias.uni-frankfurt.de Sat Dec 9 14:56:05 2023 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Sat, 9 Dec 2023 20:56:05 +0100 Subject: Connectionists: Open Post-Doc Position on Computational Modeling of Active Auditory Perception in the Triesch lab, Frankfurt am Main, Germany Message-ID: We solicit applications for a post-doc position in my lab (http://fias.uni-frankfurt.de/~triesch/) at the Frankfurt Institute for Advanced Studies (FIAS) to develop neural network-based computational models of active auditory perception. The project will address how the brain simultaneously adapts sensory coding strategies, attentional processing, and behavior to optimize active auditory perception in its recurrent processing architecture. The project is embedded in Germany?s priority program ?Sensing LOOPS: Cortico-subcortical Interactions for Adaptive Sensing?(www.brainloops.de/spp2411) and will provide ample opportunities for collaboration with experimental labs, including the lab of Julio Hechavarrria in Frankfurt (https://www.julio-hechavarria.com). Keywords: active perception, active efficient coding, active noise avoidance, recurrent neural network, attentional modulation, bat echolocation, cocktail party problem. Please see some of our previous work on active visual and auditory perception and use of recurrent networks to model visual object recognition to get a flavor of this line of work: Eckmann, S., Klimmasch, L., Shi, B. E., & Triesch, J. (2020). Active efficient coding explains the development of binocular vision and its failure in amblyopia. Proceedings of the National Academy of Sciences, 117(11), 6156-6162. https://www.pnas.org/doi/abs/10.1073/pnas.1908100117 Wijesinghe, L. P., Wohlgemuth, M. J., So, R. H., Triesch, J., Moss, C. F., & Shi, B. E. (2021). Active head rolls enhance sonar-based auditory localization performance. PLoS computational biology, 17(5), e1008973. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008973 Ernst, M. R., Burwick, T., & Triesch, J. (2021). Recurrent processing improves occluded object recognition and gives rise to perceptual hysteresis. Journal of Vision, 21(13), 6-6. https://jov.arvojournals.org/article.aspx?articleid=2778154 Klimmasch, L., Schneider, J., Lelais, A., Fronius, M., Shi, B. E., & Triesch, J. (2021). The development of active binocular vision under normal and alternate rearing conditions. Elife, 10, e56212. https://elifesciences.org/articles/56212 The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living. We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Computational Neuroscience or a related field (Machine Learning, Physics, Engineering, etc.). The ideal candidate will have excellent analytic and neural network modeling skills (in particular using unsupervised and reinforcement learning techniques), a thorough understanding of information theory and a broad knowledge of Computational Neuroscience. A strong interest in active auditory perception and desire to collaborate with experimental labs is essential. Funding is available initially for two years. Renumeration is according to the German E13 pay scale, 100% full time equivalent (FTE). Applications should consist of a single pdf file. Please include a brief statement of research interests, CV and publication list, and contact information for at least two references. Application deadline is January 15st, 2024. Upload your document using the application platform at: https://pm.fias.science/projects/application. Click on ?New Issue? to start the application process. -- 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/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1418 bytes Desc: not available URL: From diochnos at ou.edu Sat Dec 9 23:09:14 2023 From: diochnos at ou.edu (Diochnos, Dimitrios) Date: Sun, 10 Dec 2023 04:09:14 +0000 Subject: Connectionists: Call for Posters: ISAIM 2024 Special Session on Deep Reinforcement Learning Message-ID: <13E7B488-0F0A-4D54-B694-E4A6F3E6DF37@ou.edu> Call for Posters: International Symposium on Artificial Intelligence and Mathematics (ISAIM) 2024 Special Session on Deep Reinforcement Learning Submission: https://forms.gle/MJuSJHJpuJ3mFevf6 Workshop Theme: "Deep Reinforcement Learning: Bridging Theory and Practice" https://isaim-deeprl.github.io/2024/ Dates & Venue: January 8, 9, 2024, collocated with the International Symposium on Artificial Intelligence and Mathematics (ISAIM), Fort Lauderdale, FL. Overview: Deep Reinforcement Learning (DRL) stands at the forefront of AI research, shaping the future of diverse fields from robotics to finance. However, the journey from theoretical foundations to practical applications in DRL is laden with challenges. Our workshop, a special session of ISAIM 2024, aims to address these challenges by fostering a deeper understanding and appreciation of the latest advancements in DRL. We will discuss a variety of talks (including but not limited to) sample efficiency, exploration vs. exploitation, transfer learning, stability and convergence, and real-world application barriers. Invited Speakers: Benjamin Eysenbach (Princeton) Aviral Kumar (CMU / Google) Pulkit Agrawal (MIT) Chi Jin (Princeton) Sanjiban Choudhury (Cornell) Wen Sun (Cornell) Kaiqing Zhang (UMD) Max Simchowitz (MIT) Animesh Garg (Georgia Tech) Zhuoran Yang (Yale) Objective: Our goal is to illuminate the connection between the theoretical and practical aspects of DRL, addressing inherent challenges in the field. Participants will gain comprehensive knowledge, backed by expert-led discussions, talks and lively interaction. Target Audience: This workshop is ideal for researchers, AI practitioners, graduate students, and industry professionals keen on exploring the forefront of Deep Reinforcement Learning. Call for Posters: We invite submissions for poster presentations that align with the theme of the workshop. This is an excellent opportunity to showcase your research, share novel ideas, and interact with experts in the field. There will be a lot of engaging discussion and all relevant work is welcome! Submission Guidelines: Poster topics should be relevant to DRL and its challenges. But this is defined very broadly, please submit if you think at all relevant! Abstracts should be concise, clearly outlining objectives, methodology, and findings. Include author(s) name, affiliation, and contact information. Flexible on format, 4+ page papers accepted! Submission Deadline: Jan 5, 2024 Contact Information: zhaoranwang at gmail.com or abhgupta at cs.washington.edu Join us in exploring the intricate world of DRL and contribute to bridging the gap between theory and practice. We look forward to your insightful contributions and lively discussions! Organizers: Abhishek Gupta (UW), Zhaoran Wang (Northwestern), Aldo Pacchiano (Boston University / Broad Institute), Claudio Gentile (Google) From newsletters at tommasoturchi.fyi Mon Dec 11 05:05:24 2023 From: newsletters at tommasoturchi.fyi (Tommaso Turchi) Date: Mon, 11 Dec 2023 11:05:24 +0100 Subject: Connectionists: [CfP] Adaptive eXplainable AI Workshop @ IUI 2024 Message-ID: *** Apologies for cross-posting *** ------------------------------------------------------ CALL FOR PAPERS: Adaptive eXplainable AI Workshop 2024 ------------------------------------------------------ We are excited to announce the call for papers for the Adaptive XAI (AXAI) Workshop, to be held in conjunction with ACM IUI 2024. This workshop is dedicated to exploring the design and development of intelligent interfaces that adaptively explain AI's decision-making processes, with a strong focus on human-centric principles. == Important Dates == * Submission Deadline: January 16, 2024 * Notification: February 9, 2024 * Camera Ready: February 23, 2024 * Workshop Date: March 18, 2024 == Submission Guidelines == * Length: 5-10 pages * Format: CEUR-ART 1-column Template * Selected papers may be invited to submit an extended version to a dedicated Special Issue of Springer's "Personal and Ubiquitous Computing" * Submission Website: https://cmt3.research.microsoft.com/AXAI2024 == Topics Include == We welcome submissions that address, but are not limited to, the following topics: 1. Transparent AI Decision-Making 2. Human-Centric AI Design 3. Adaptive Explanation Interfaces 4. Cognitive Needs and Situational Awareness 5. Seamless AI-HCI Integration 6. Diversity and Inclusivity in AI Explanations 7. Ethical Considerations in AI Explanations 8. Case Studies and Real-World Applications 9. Future Directions in Adaptive XAI 10. Cross-Disciplinary Perspectives == Organizers == * Tommaso Turchi, University of Pisa * Alessio Malizia, University of Pisa * Fabio Patern?, CNR-ISTI, Pisa * Simone Borsci, University of Twente * Alan Chamberlain, University of Nottingham For more information, please visit our website at https://axai.trx.li or contact Tommaso Turchi (tommaso.turchi at unipi.it). Join us in Greenville, South Carolina (USA) to shape the future of human-AI interaction! //==============================\\ Tommaso Turchi Department of Computer Science University of Pisa \\==============================// From kenneth_blum at harvard.edu Mon Dec 11 06:30:00 2023 From: kenneth_blum at harvard.edu (Blum, Kenneth I.) Date: Mon, 11 Dec 2023 11:30:00 +0000 Subject: Connectionists: Swartz postdoctoral fellowship in theoretical neuroscience at Harvard Message-ID: The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience. Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship is available at Harvard University with a start date in the summer or fall of 2024. Postdocs join a vibrant group of theoretical and experimental neuroscientists plus theorists in allied fields at Harvard?s Center for Brain Science. The Center for Brain Science includes faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Applications will be considered immediately and continuing until the position is filled. Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim at fiz.huji.ac.il) or Kenneth Blum (kenneth_blum at harvard.edu). Applications should have ?Swartz Fellowship? in the subject line. We strongly welcome applications from persons from underrepresented groups. Harvard University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zren at uni-bremen.de Mon Dec 11 08:03:02 2023 From: zren at uni-bremen.de (Zhao Ren) Date: Mon, 11 Dec 2023 14:03:02 +0100 Subject: Connectionists: CFP: Research Topic on Intelligent Audition Technologies for Personalized Healthcare - Deadline: 31 December Message-ID: <20231211140302.Horde.c1KJx4xHtGhQCWCx1XwSvL2@webmail.uni-bremen.de> Dear colleagues, we welcome your paper submissions to our Research Topic on INTELLIGENT AUDITION TECHNOLOGIES FOR PERSONALIZED HEALTHCARE. https://www.frontiersin.org/research-topics/54868/intelligent-audition-technologies-for-personalized-healthcare MANUSCRIPT SUBMISSION DEADLINE:? 31 December 2023 PARTICIPATING JOURNALS: Frontiers in Computer Science[1], Frontiers in Big Data[2], Frontiers in Artificial Intelligence[3], Frontiers in Digital Health[4] ? TOPIC EDITORS: Zhao Ren, University of Bremen, Germany Tanja Schultz, University of Bremen, Germany Kun Qian, Beijing Institute of Technology, China, Bj?rn W. Schuller, Technical University of Munich & Imperial College London, Germany & UK ? ********************************************* Over the past few decades, artificial intelligence has demonstrated its potential in helping with healthcare applications, including intelligent diagnosis, decision-making, and treatments using large amounts of medical data. Benefitting from signal processing, machine learning, and deep learning algorithms, computer audition is now rapidly emerging as an innovative instrument for effective, efficient, affordable, and non-invasive medical services using body acoustics and human speech. The new evolution of Internet-of-Things further increased the possibility of creating personalized healthcare with intelligent audition technologies, which can provide human-centered healthcare applications. The tendency toward developing machine learning and deep learning techniques in computer audition for personalized healthcare is promising and encouraging. This Research Topic seeks to progress the interdisciplinary field of healthcare, artificial intelligence, and acoustic signal processing by facilitating the investigation of advanced methodologies and encouraging the development of new applications. The goal is to gather innovative works, including not only computer-audition prototypes for healthcare, but also cutting-edge machine-learning methodologies. This topic is finally expected to promote the development of trustworthy, dependable, sustainable artificial intelligence algorithms for personalized healthcare. This Research Topic is also thought of as a venue for audiences from the signal processing and computer science communities, as well as medical groups. The Research Topic is looking for qualified research works in the field of intelligent audition technologies for personalized healthcare. Topics of interest include, but are not limited to: - Prototypes of computer audition for healthcare applications - New acoustic databases for study in healthcare - Trustworthy machine learning approaches for computer audition in the healthcare sector - Adversarial machine learning in computer audition for healthcare - Dependable machine learning methods in computer audition for healthcare - Methodologies and discussion in sustainability of machine learning for computer audition in the healthcare sector *********************************************** Best regards, Zhao Ren Links: ------ [1] https://www.frontiersin.org/journals/1511 [2] https://www.frontiersin.org/journals/1380 [3] https://www.frontiersin.org/journals/1437 [4] https://www.frontiersin.org/journals/1534 Dr.-Ing. Zhao Ren Cognitive Systems Lab (CSL) University of Bremen Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Mon Dec 11 09:38:42 2023 From: phitzler at googlemail.com (Pascal Hitzler) Date: Mon, 11 Dec 2023 08:38:42 -0600 Subject: Connectionists: New journal on Neurosymbolic Artificial Intelligence - call for papers Message-ID: <0c50417c-c44e-4a25-ad66-53d1e00118e7@googlemail.com> We are announcing the launch of a new journal, Neurosymbolic Artificial Intelligence, https://neurosymbolic-ai-journal.com/ . The journal will accommodate all high-quality papers on topics pertaining to neurosymbolic AI. The journal is following a non-standard, open and transparent review process. Papers currently under review can be found at https://neurosymbolic-ai-journal.com/underreview - most of these are position statement papers by editorial board members for the inaugural issue. The journal is fully (gold) open access, however fees are currently waived. Five Special Issue calls for papers are currently also open, on Commonsense Reasoning, Neurosymbolic AI for Cyberphysical Systems, Trustworthy Neurosymbolic AI, Knowledge Graphs and Neurosymbolic AI, and Neuro-Symbolic AI and Domain Specific Conceptual Modelling, see https://neurosymbolic-ai-journal.com/content/calls-papers-special-issues for details. You can contact the editors-in-chief (Tarek Besold, Artur d'Avila Garcez and Pascal Hitzler) at eic at neurosymbolic-ai-journal.com or via the #nai-journal channel on the neurosymbolic AI slack (email hitzler at ksu.edu to get added to the community slack if you are not yet on it). The journal is published by IOS Press, Amsterdam. Pascal. -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Co-Director, Inst. for Digital Agriculture and Advanced Analytics ID3A Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com From sebastian.otte at uni-luebeck.de Mon Dec 11 11:51:49 2023 From: sebastian.otte at uni-luebeck.de (Sebastian Otte) Date: Mon, 11 Dec 2023 17:51:49 +0100 Subject: Connectionists: ICANN 2024 - Call for Workshops and Special Sessions Message-ID: <00d212e5-1796-411e-9c07-cf86ce30e230@uni-luebeck.de> Call for Workshops and Special Sessions The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2024, the ICANN will take place in Lugano, Switzerland. Conference Dates: September 17 to September 20, 2024 Conference Venue: Campus of the University of Southern Switzerland and the University of Applied Sciences and Arts of Southern Switzerland, Via la Santa 1, 6962 Lugano-Viganello, Switzerland. Conference Webpage: https://icann2024.org We invite prospective organizers to submit Workshop and Special Session Proposals. Special Sessions focus on specific topics within the general scope of the conference. Their goal is to provide a forum for focalized discussions on state-of-the-art research in their specific field. Special Sessions have the same duration as a standard session (2 hours), and submissions should follow the same format as for the main conference track (12-15 pages, Springer format, peer reviewed). The internal organization of Special Sessions is up to the organizer (for example, it is possible to reserve more time for some distinguished speaker, or for a demonstration). Workshops have a broader focus than Special Sessions; they have the goal to showcase specific methods and applications to the general conference audience. While workshops normally feature peer-reviewed submissions, this is not obligatory for invited speaker(s). They can usually take up the entire conference day (or even more) and may feature a free format with presentations, panel discussions, brainstorming, etc. The program chairs are happy to discuss specific arrangements with prospective organizers. The organizer has the tasks of helping to publicize the special session/workshop, providing a list of scientists who would be invited to submit articles, organizing the review process (if appropriate), and finally chairing the session. Please send a short description of your proposal, including the responsible chairs, to program-committee at icann2024.org. We will then get in touch with you. For each accepted Workshop, we offer one free conference registration. Deadline for Workshop and Special Session Proposals: February 1, 2024. Direct all questions to program-committee at icann2024.org. Thanks for your contribution! Link to this call: https://e-nns.org/icann2024/call-for-workshops-and-special-sessions/ From Jean.MARTINET at univ-cotedazur.fr Mon Dec 11 17:04:05 2023 From: Jean.MARTINET at univ-cotedazur.fr (Jean Martinet) Date: Mon, 11 Dec 2023 22:04:05 +0000 Subject: Connectionists: =?utf-8?q?=5BJobs=5D_Multiples_positions_in_Neuro?= =?utf-8?q?morphic_Computer_Vision_at_Universit=C3=A9_C=C3=B4te_d=27Azur_i?= =?utf-8?q?n_France?= Message-ID: Dear colleagues, We have several opening positions in Neuromorphic Computer Vision starting from March 2024 at i3S lab, Sophia Antipolis, Universit? C?te d?Azur in France. We are hiring an internship student for 4-6 months from around March 2024 (flexible), a PhD for 36 months from around October 2024 (flexible), and a postdoc for 18 months from around October 2024 (flexible). There is an opportunity for the intern to continue with the PhD. These multiple proposals take place in the context of an international collaborative project co-funded by the French ANR and the Swiss NSF. The project NAMED (Neuromorphic Attention Models for Event Data) that will start on February 1st, 2024. Project summary: The humain perception of a complex visual scene requires a cognitive process of visual attention to sequentialy direct the gaze towards a visual region of interest to acquire relevant information selectively through foveal vision, that allows maximal acuity and contrast sensitivity in a small region around the gaze position ? whereas peripheral vision allows for a large field of view, albeit with lower resolution, contrast sensitivity. This cognitive process mixes bottom-up attention driven by saliency and top-down attention drivent by the demands of the task (recognition, counting, tracking, etc.) While numerous work have investigated visual attention in standard RGB images, it has barely been exploited for the recently developed event sensors (DVS). Inspired by human perception, the interdisciplinary NAMED project aims at designing neuromorphic event-based vision systems for embedded platforms such as autonomous vehicles and robots. A first stage will investigate and develop new bottom-up and top-down visual attention models for event sensors, in order to focus processing on relevant parts of the scene. This stage will require to understand what drives attention in event data. A second stage will design and implement a hybrid digital- neuromorphic attentive system for ultra-fast, low-latency, and energy-efficient embedded vision. This stage will require to set up a dual vision system (foveal RGB sensor and parafoveal DVS), to design Spiking and Deep Neural Networks, and to exploit a novel system-on-chip developed at ETH Z?rich. A last stage will validate and demonstrate the results by applying the robotic operational platform to real-life dynamic scenarios such as autonomous vehicle navigation, ultra-fast object avoidance and target tracking. Candidates must hold a degree in Computer Science, Computer Engineering, Applied Mathematics or a related field. Experience in image processing, computer vision, or machine learning is a plus. In addition, candidates should have the following skills: good proficiency in spoken and written English, scientific writing, and programming in Python. Application period from December 2023 to the offer starting date. Please send an email with subject [NAMED project application], include CV, cover letter, all available Master grades and ranking, Master thesis if available, any recommendation letter and supporting document). Video interviews will take place as applications arise. Universit? C?te d'Azur is a major research-intensive university in the south east of France, that is both rooted in its territory and internationally oriented. Universit? C?te d'Azur directly employs around 3,000 staff and welcomes over 30,000 students each year. The i3S laboratory is the largest information and communication science laboratory in the French Riviera. It is composed of nearly 300 people with approximately 100 professors or associate professors, 20 CNRS researchers and 13 INRIA researchers, along with 20 technical and administrative staff. More information here. With kind regards, Jean- -- [UCA.png] Prof. Jean Martinet Universit? C?te d'Azur / i3s / CNRS | Polytech Nice Sophia Campus SophiaTech, Sophia Antipolis EIT Digital Master School, Data Science Apprenticeship at Polytech Nice Sophia APROVIS3D CHIST-ERA ERA-NET Forum Numerica seminar series jean.martinet at univ-cotedazur.fr i3s.unice.fr/jmartinet +33.6.59.69.11.91 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: UCA.png Type: image/png Size: 19039 bytes Desc: UCA.png URL: From battleday at g.harvard.edu Mon Dec 11 11:24:31 2023 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Mon, 11 Dec 2023 10:24:31 -0600 Subject: Connectionists: Undergraduate Volunteers and Travel Prize for Mathematics of Neuroscience and AI Convention, Rome, 28-31st May 2024 Message-ID: The organizing committee is recruiting two volunteers to help prepare for and run the 5th International Convention on the Mathematics of Neuroscience and AI: www.neuromonster.org This year's conference is to be held in Rome, 28th-31st May 2024. We are seeking two undergraduate students at British universities to help with conference organization. Applications will be reviewed on a rolling basis, and a response sent as soon as a decision is made, via the following link: https://forms.gle/RETRucgZEYPRnfoc8 *Position 1: website and registrations (30 hours before and during the conference)* This position will involve keeping the website updated with speaker information (via Squarespace), ensuring speakers complete registration, and ensuring people that register online complete the full registration process. It will also involve helping the Italian staff with the registration desk on the first day. *Position 2: AV equipment, zoom, and processing recordings (30 hours during and after the conference)* This position will involve making sure the virtual components of the conference are running smoothly, and processing talk recordings after the conference. *Benefits* This is a great opportunity for anyone interested in cognitive science, computational neuroscience, or machine learning and artificial intelligence to become involved in a major international event! Through it, you will meet established and rising stars in the field, gain an appreciation of what research at a graduate level and beyond is like, and understand the workings of a nonprofit and conference. Our previous iterations have been called "the best conference ever" by many attendees! *Requirements* We are looking for two undergraduate students reading for degrees related to cognitive science, computational neuroscience, or machine learning and artificial intelligence at *British Higher Education *universities and / or institutions. Most of all, we are looking for enthusiastic young scientists interested in careers in these three fields! You may apply with a friend or colleague and split the two positions. Conversational-level Italian is preferred, but not essential. *Remuneration* We will cover flights to Rome for the conference from the UK, as well as accommodation and a modest food and drink budget. Any further questions, please feel free to email battleday at thinkingaboutthinking.org. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Executive Director 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 maria.m.hedblom at gmail.com Mon Dec 11 12:46:01 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Mon, 11 Dec 2023 18:46:01 +0100 Subject: Connectionists: ICCC'24: Call for Workshop and Tutorial Proposals Message-ID: *(apologies for potential cross-posting)* ICCC?24: The 15th International Conference on Computational Creativity June 17-21, 2024 J?nk?ping, Sweden https://computationalcreativity.net/iccc24/ Call for Workshop and Tutorial Proposals Submission deadline: January 7 *Overview* The 15th International Conference on Computational Creativity is soliciting proposals for workshops and tutorials to be held in association with the main ICCC conference. We welcome proposals for half-day, full-day and one-and-a-half-day workshops and tutorials on any aspect of computational creativity research whose focus area complements the topics discussed in the main conference. Workshops offer a great opportunity to exchange ideas, and a chance to drive broader adoption of your systems and methods. We welcome a diversity of formats, from academic workshops (with a process of peer review for submitted papers, managed by the workshop organisers) to traditional tutorials, as well as hands-on and practical workshops. Please feel free to contact the organisers to discuss the possibilities further. Topics can range from anything between theoretical or computational aspects of computational creativity, social and ethical implications, and/or focused artistic showcases. In the past, workshops at ICCC have covered a wide variety of focused areas and this is part of the strength of a workshop series. We will prioritise workshops that have a clear focus area, rather than a more general application area. This is to create a workshop program that is complementary to the conference. Please notice that all workshops will be academically self-contained: they should have their own organising committee and conduct their own peer review managed entirely by the workshop organisers. All peer-reviewed full papers of workshops accepted at ICCC?24 will be jointly published as a separate part of the conference proceedings or as part of CEUR-WS workshop proceedings. The venue has several rooms appropriate for a range of different types of workshops: including classic lecture rooms and showcase rooms with up to 8 projectors perfect for more artistically directed workshops/tutorials. *Important dates* - Workshop proposal submissions due: January 7, 2024 - Notification of workshop acceptance: January 14, 2024 In case of excellent early bird submissions, earlier acceptance may be possible at the chairs? discretion, to allow workshops a longer lead time. All workshop organisers should manage their own abstract/paper submission, invite a program committee and handle a peer-reviewing process with appropriate timelines. For the workshops that accept submissions for publications we recommend adhering to the following - Workshop call for papers announcement and publicity: January 24, 2024 - Workshop paper submission deadline: April 10, 2024 - Workshop author notification: April 30, 2024 - Camera-ready submission: June 1st, 2024 - STRICT - Workshop days: between June 17-18, 2024 (co-located with ICCC 2024) The organisers must develop their own workshop/tutorial web page that will be located on the ACC server. The web page must follow the visual identity of ICCC. The ICCC 2024 webmasters will provide templates to facilitate this process. *Submission Instructions* Please submit a PDF proposal of no more than 2 pages detailing the following: Title and abstract of the workshop/ hands-on workshop/tutorial (the abstract should clearly address the topic of the workshop). - Organising committee?s names and affiliations - One organiser must be indicated as a primary contact person (please notice that there must be at least one organiser committed to be physically present during the event). - Please include a brief description of your experience in workshop/tutorial organisation. - Description of the event?s scope, and the type of papers and/or works that will be accepted (feel free to refer to previous instances of the event, including publications) - Brief description of the expected audience - Expected number of participants, including information on onsite/remote participants - Expected audience's background and interests - The expected format and duration of the workshop/tutorial (between half a day and a full day) - Intended format of submission and reviewing platform (e.g. EasyChair) and, if applicable, a preliminary program committee - Any technical or space requirements (e.g., projector, PA, whiteboards, open space) - Preliminary timeline for the workshop/tutorial (submission dates, notification dates) All applications should be submitted as a single PDF file with the subject line ?ICCC 2024 Workshop/Tutorial Proposal? to the workshop chair: Guendalina Righetti, guendalina.righetti at ifikk.uio.no. We look forward to having you join us at ICCC! Best wishes, The ICCC?24 team -------------- next part -------------- An HTML attachment was scrubbed... URL: From oscar.fontenla at udc.es Tue Dec 12 04:19:04 2023 From: oscar.fontenla at udc.es (=?Windows-1252?Q?=D3scar_Fontenla_Romero?=) Date: Tue, 12 Dec 2023 09:19:04 +0000 Subject: Connectionists: [CFP] Green artificial intelligence at IJCNN 2024 Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Special Session on "Green artificial intelligence: towards a more sustainable future" at IJCNN 2024 The session will be part of the program of the ?IEEE World Congress on Computational Intelligence WCCI-2024?, which will be held in Yokohama, Japan, June 30 - July 5, 2024 Green artificial intelligence: towards a more sustainable future. Organized by: Veronica Bolon-Canedo, Amparo Alonso-Betanzos, ?scar Fontenla-Romero (CITIC - University of A Coru?a, Spain), Alicia Troncos Lora (Universidad Pablo de Olavide, Spain), Jos? C. Riquelme (University of Seville, Spain). In recent years, we have witnessed remarkable advances in the field of Artificial Intelligence (AI), primarily driven by the advent of deep learning models. However, it is irrefutable that deep learning comes with a substantial carbon footprint, as underscored by a 2019 paper which asserted that training a language model could release nearly five times the lifetime emissions of an average car. The term "Green AI" denotes AI research that prioritizes environmental sustainability and inclusivity. This paradigm shift extends beyond the mere pursuit of groundbreaking results without inflating computational demands; it also seeks to empower every researcher, regardless of their resources, to conduct high-quality research using a regular laptop. Conventional AI research, often termed "Red AI," predominantly focuses on achieving cutting-edge results at the expense of substantial computational power, relying on huge amounts of training data and extensive experimentation. Emerging from this landscape are more efficient machine learning approaches, particularly within the field of deep learning, which have recently garnered attention in the research community. However, the prevailing issue is that these endeavors frequently lack an explicit environmental motivation. Therefore, there exists an important need to encourage the AI community to acknowledge and value the work of researchers who diverge from the established path, emphasizing efficiency alongside, or even above, accuracy. Topics such as low-resolution algorithms, edge computing, efficient platforms, and, more broadly, scalable and sustainable algorithms and their applications, all contribute to a comprehensive vision of Green AI. Embracing these topics not only underscores the commitment to eco-conscious AI but also lays the foundation for a future where AI innovation aligns with environmental stewardship. In this special session, we invite papers on both practical and theoretical issues about developing new artificial intelligence and machine learning methods that are sustainable and green, as well as review papers with the state-of-the-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to: * Developing energy-efficient algorithms for training and/or inference. * Investigating sustainable data management and storage techniques. * Exploring the use of renewable energy sources for machine learning. * Examining the ethical and social implications of green machine learning. * Investigating methods for reducing the carbon footprint of machine learning systems. * Studying the impact of green machine learning on various industries and applications Information on paper submission can be found here: https://2024.ieeewcci.org/submission All accepted papers will be included in the WCCI-2024 proceedings, published on the IEEE Xplore Digital Library. Paper submission deadline is January 15, 2024. Best regards. Oscar Fontenla-Romero LIDIA lab Computer Science Department University of A Coru?a Email: oscar.fontenla at udc.es -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue Dec 12 07:47:57 2023 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 12 Dec 2023 13:47:57 +0100 Subject: Connectionists: CfP FRCCS 2024 - Fourth French Regional Conference on Complex Systems, 29-31 May 2024, Montpellier Message-ID: CFP FRCCS 2024 Montpellier, France May 29 ? 31, 2024 Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 ? 31, 2024 Montpellier, France *FRCCS 2024* After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Papers* about *original research* (up to 12 pages) ? *Extended Abstract* about published or unpublished research (3 to 4 pages). *Keynote Speakers* ? Ingmar Weber , Saarland University ? Sonia K?fi , Universit? de Montpellier ? Petter Holme , Aalto University ? Natasa Przulj , Barcelona Supercomputing Center ? Bolek Szymanski , Rensselaer Polytechnic Institute *Publication* - Contributions will be included in the conference proceedings (With ISBN) - *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * o Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals ? *Complex Networks * o Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. ? *Neuroscience, Linguistics* o Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity ? *Economics & Finance* o Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment ? *Infrastructure, planning, and environment * o critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences ? *Biological and (bio)medical complexity * o biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging ? *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation ? *Socio-Ecological Systems* o Global environmental change, green growth, sustainability & resilience, and culture ? *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution ? *Engineering systems and systems of systems* o bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology ? *Complexity in physics and chemistry* o quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Roberto Interdonato , CIRAD, UMR TETIS, Montpellier Bruno Pinaud , LABRI University of Bordeaux -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Tue Dec 12 12:50:29 2023 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Tue, 12 Dec 2023 18:50:29 +0100 Subject: Connectionists: Special session at WCCI'24 Message-ID: <29973671-C411-4492-823F-C254D1A759CB@techfak.uni-bielefeld.de> We would like to draw your attention to a a special session at WCCI 2024 in Yokohama Special session on "Machine Learning in Critical Infrastructure" Scope: Properly working critical infrastructures such as those delivering electricity, water, transportation, and gas are essential for our modern society. Proper and safe operation of such infrastructure requires dealing with many aspects and challenges such as: maintaining stability and functionality of the entire system, anomaly detection, defense against cyber-physical attacks, etc. Usually, the human operator monitors and controls the system by investigating (in real-time) sensor readings from the system. With recent advances in AI (in particular in Machine Learning), the need to design data-driven decision support systems for critical infrastructure arises. However, such data-driven systems have to deal with specific and unique challenges such as complex spatio-temporal data (e.g. sensor readings), uncertainty and noise and the input data as well as in the topology and description of the system, very sparse sensor placements, missing or uncertain labels, simulated training data only, etc. Data-driven systems applied to critical infrastructure have been classified as high-risk systems (e.g. by the EU AI act) because failures can have catastrophic consequences in the real world. Consequently, such systems must (by law, such as requested by the EU AI act) provide transparent outputs, and also come with guarantees with respect to robustness. In this special session, we aim to bring together researchers from AI and engineering, as well as practitioners from industry, to explore and discuss foundational research and applications of data-driven methods in critical infrastructure. We expect high-quality and novel contributions to this highly relevant topic. Call for Papers We welcome contributions to all topics related to Machine Learning in critical infrastructure, including (but not limited to): Transparency of data-driven systems in critical infrastructure Handling noise and uncertainty in data-driven systems Data-driven systems for spatio-temporal data Robustness of data-driven systems Novel applications of machine learning to critical infrastructure Submissions must be anonymized and submitted directly through the EDAS system (https://edas.info/newPaper.php?c=31628&track=121739 ) ? make sure to select the topic ?Special Session: Machine Learning in Critical Infrastructure?. The complete author guidelines can be found at https://2024.ieeewcci.org/submission Submission deadline: 15.01.2024 Organizers Andr? Artelt, Bielefeld University, Germany Prof. Cesare Alippi, Politecnico di Milano, Italy & Universit? della Svizzera Italiana, Switzerland Prof. Barbara Hammer, Bielefeld University, Germany Prof. Marios M. Polycarpou, University of Cyprus, Cyprus -- Prof. Dr. Barbara Hammer Machine Learning Group, CITEC Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.c.kampffmeyer at uit.no Tue Dec 12 09:35:12 2023 From: michael.c.kampffmeyer at uit.no (Michael Kampffmeyer) Date: Tue, 12 Dec 2023 14:35:12 +0000 Subject: Connectionists: =?iso-8859-1?q?Open_3-year_postdoctoral_position_?= =?iso-8859-1?q?in_the=A0Machine_Learning_Group=A0at_UiT_The_Arctic_Univer?= =?iso-8859-1?q?sity_of_Norway_=28application_deadline=A01st_January_2023?= =?iso-8859-1?q?=29?= Message-ID: Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway (application deadline 1st January 2023). We are seeking a candidate to take an active role in the group's research on developing novel machine learning/computer vision methodology. Special focus in this project will be on the development of deep learning methodology for learning from limited labeled data (few-shot/self-supervised/metric learning and/or deep clustering). The position will be part of the already ongoing effort to design approaches that explore geometric properties of the embedding spaces and the alignment of multiple modalities. We are looking for a motivated candidate who is independent thinking and enjoys working in a team. The suitable candidate should have expertise in deep learning and a strong documented background in mathematics is needed. The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. For more details, please see: https://www.jobbnorge.no/en/available-jobs/job/253151/postdoctoral-research-fellow-in-machine-learning-at-uit-the-arctic-university-of-norway Applications have to be submitted through the above link. For additional questions, please contact Michael Kampffmeyer (michael.c.kampffmeyer at uit.no) --- Michael Kampffmeyer Associate Professor UiT Machine Learning Group http://machine-learning.uit.no UiT The Arctic University of Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Tue Dec 12 11:34:04 2023 From: steve at bu.edu (Grossberg, Stephen) Date: Tue, 12 Dec 2023 16:34:04 +0000 Subject: Connectionists: A podcast about how I introduced neural networks in 1957 and discovered how resonant brain states may become conscious In-Reply-To: References: Message-ID: Dear Connectionists colleagues, I have attached below the title and url of a two-hour video podcast about my life and work developing neural network models of how our brains make our minds, and applying them to solve large-scale problems in engineering, technology, and AI. The podcast discussion is wide-ranging, including: How I came to introduce neural networks in 1957 as a college Freshman, and How I came to model how resonant brain processes embody conscious awareness. The title of the podcast is: How Do Resonant Brains Make Conscious Minds? Towards Solving the Hard Problem of Consciousness https://lnkd.in/eS8n-ZTj This is a discussion with Tevin Naidu from his series Mind-Body Solution. The podcast was motivated by my Magnum Opus CONSCIOUS MIND, RESONANT BRAIN: HOW EACH BRAIN MAKES A MIND https://lnkd.in/eiJh4Ti that I wrote to be self-contained and non-technical for a general audience. Best, Steve Grossberg Stephen Grossberg Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg/ steve at bu.edu http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://sites.bu.edu/steveg/files/2021/08/Grossberg-CV-8-14-21.pdf https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Wed Dec 13 08:36:29 2023 From: info at incf.org (INCF) Date: Wed, 13 Dec 2023 14:36:29 +0100 Subject: Connectionists: Exciting news from INCF: Neuroscience Community & Neuroinformatics special collection Message-ID: Exciting news from INCF: 1. Launch of *Neruoscience Community* 2. Contribute to *Neuroinformatics* special collection *1. Launch of Neuroscience Community* Together, INCF and GA4GH has launched the *Neuroscience Community*, connecting global neuroscience and genomic data, and developing standards and systems needed to power data visiting! This new group unites collaborators from around the world to share best practices and improve standards that will expand the responsible use of data. Learn more *2. Contribute to Neuroinformatics special collection* Are you developing training in computational neuroscience, data science, data management, or neuroinformatics? Please consider sending your work to the special collection at *Neuroinformatics* - Bridging the gap: How neuroinformatics is preparing the next generation of neuroscience researchers. Even better, the collection is guest-edited by INCF! Learn more -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Wed Dec 13 06:44:57 2023 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Wed, 13 Dec 2023 11:44:57 +0000 Subject: Connectionists: Modelling with NeuroML: ecosystem updates and pre-print Message-ID: <26opkykr6kw7t45rgjde3or52l6sc4wm7zymqvywg7yswjfsit@mefv54z6bczv> Dear all, This is to alert you to the availability of exciting new resources for the model description language NeuroML and a recently posted bioRxiv preprint on the ecosystem of NeuroML-compliant tools for data-driven modelling of neurons and circuits. In the preprint (doi: https://doi.org/10.1101/2023.12.07.570537), we provide a major update on the current scope of the NeuroML standard, the software ecosystem and describe the newly extended online resources for helping researchers incorporate NeuroML into their modelling work. We show how the modular nature and hierarchical structure of NeuroMLv2, combined with the flexibility of coding in Python, has created a powerful "building block" approach for constructing standardised models from scratch. Moreover, we illustrate how the ecosystem of NeuroML compliant tools supports users at all stages of the model development life cycle. This includes automated model validation, advanced analysis, visualisation, and sharing/reuse of models. The paper demonstrates how NeuroML unifies and standardises the diverse approaches to biologically-detailed computational modelling of neural systems, by enabling an ecosystem of interoperable tools that support the FAIR principles and promotes open, transparent and reproducible science. In the newly updated NeuroML online resources (https://docs.neuroml.org) we provide tutorials on how to use NeuroML to build, validate and share standardised models together with extensive documentation on this INCF approved community standard. We hope you find these resources useful for your modelling work. On behalf of the NeuroML community, Ankur Sinha, Padraig Gleeson, and Angus Silver. -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London From zoran.tiganj at gmail.com Wed Dec 13 14:36:51 2023 From: zoran.tiganj at gmail.com (Zoran Tiganj) Date: Wed, 13 Dec 2023 14:36:51 -0500 Subject: Connectionists: Faculty Positions in Human Intelligence, Artificial Intelligence and Machine Learning at Indiana University-Bloomington Message-ID: The College of Arts and Sciences and the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington invite applications for *three* tenured Associate Professor positions in one or more of the following areas: *human intelligence, artificial intelligence, and machine learning* to begin in Fall 2024 or after. Appointments will be in one or more departments, including Cognitive Science, Computer Science, Informatics, and Psychological and Brain Sciences. The positions are part of a new initiative that aims to transform our understanding of human and artificial intelligence, centered around the new Mind Brain Machine Quadrangle and the Luddy Artificial Intelligence Center. IU has long been an international leader in research on cognition across humans, animals, and artificial systems, and how intelligence manifests in embodied cognition. These hires build on existing strengths to position IU at the forefront of new research innovations in our understanding of human and animal cognition, the development of intelligent computing technologies, and the use of machine learning applied to a wide range of phenomena. *Qualifications: *Applicants must have a PhD in cognitive science, computer science, neuroscience, psychology, or a related field, and a record of scholarship, teaching, and professional experience appropriate for a tenured professorship at IU Bloomington. The positions are open at the associate professor levels, but exceptional candidates at the full and assistant professor level may be considered. To advance scholarly innovation and excellence, we especially welcome candidates who will broadly increase the university?s diversity, equity, and inclusion through any of the following: their lived experience, research, teaching, and/or mentoring. Candidates should be able to work effectively in an interdisciplinary team environment. *Application Procedures:* To apply, submit a CV, letter of application that describes your research, teaching, and engagement with fostering a diverse and welcoming work environment, and be prepared to provide the names of six references. References will only be contacted for those candidates moving to advanced stages of consideration. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/21731. Review of applications will begin immediately and continue until the position is filled. *Applications received by January 5, 2024 will be given full consideration.* The position?s expected start date is August 1, 2024; however, alternative dates can be considered. All queries about the position or the application procedures may be addressed to faculty1 at indiana.edu. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. -------------- Zoran Tiganj, PhD Assistant Professor Department of Computer Science Luddy School of Informatics, Computing, and Engineering Department of Psychological and Brain Sciences Indiana University Bloomington https://homes.luddy.indiana.edu/ztiganj/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From valle at ime.unicamp.br Wed Dec 13 16:10:59 2023 From: valle at ime.unicamp.br (Marcos Eduardo Valle (IMECC-Unicamp)) Date: Wed, 13 Dec 2023 18:10:59 -0300 Subject: Connectionists: [CFP] Complex- and Hypercomplex-valued Neural Networks - Special Session WCCI 2024 Message-ID: Dear colleagues, I would like to draw your attention to the following special session at WCCI 2024, which will be held in Yokohama, Japan. Complex- and Hypercomplex-valued Neural Networks https://www.ime.unicamp.br/~valle/CFPs/wcci2024/ https://2024.ieeewcci.org/ Aim and Scope: Complex-valued, quaternion-valued, and more generally, hypercomplex-valued neural networks (HVNNs) constitute a rapidly growing research area that has attracted continued interest for the last decade. Besides their natural ability to tread multidimensional data, hypercomplex-valued neural networks can benefit from hypercomplex numbers? geometric and algebraic properties. For example, complex-valued neural networks are essential for adequately treating phases and the information contained in phases, including the treatment of wave- and rotation-related phenomena such as electromagnetism, light waves, quantum waves, and oscillatory phenomena. Quaternion-valued neural networks, which have potential applications in three- and four-dimensional data modeling, have been effectively used to process and analyze multivariate images such as color and polarimetric SAR images. Despite significant theoretical development and successful applications, many research directions in HVNNs remain. These include formally generalizing the commonly used real-valued network architectures and training algorithms to the hypercomplex-valued case. There are also many exciting applications in pattern recognition and classification, nonlinear filtering, intelligent image processing, brain-computer interfaces, time-series prediction, bioinformatics, and robotics, to list a few. This special session aims to be the proper forum for a systematic and comprehensive exchange of ideas, present the recent research results, and discuss future trends in complex- and hypercomplex-valued neural networks. We hope the proposed session will attract potential speakers and researchers interested in joining the community. We also expect this session to benefit and inspire computational intelligence researchers and other specialties that need sophisticated neural network tools. List of Topics: This special session welcomes papers that are or might be related to all aspects of complex- and, more generally, hypercomplex-valued neural networks. Contributions to theoretical advances or of applied nature are appreciated. We also welcome interdisciplinary contributions from other areas on the proposed scope's borders. Topics include, but are not limited to: - Theoretical aspects of complex- and hypercomplex-valued neural networks - Complex- and hypercomplex-valued activation functions - Learning algorithms for complex- and hypercomplex-valued neural networks - Complex- and hypercomplex-valued associative memories - Pattern recognition, classification, and time series prediction using hypercomplex-valued neural networks - Complex- and hypercomplex neural networks in nonlinear filtering - Dynamics of complex- and hypercomplex-valued neurons and networks - Chaos in the complex- and hypercomplex domain - Complex- and hypercomplex-valued deep neural networks - Spatiotemporal processing using complex- and hypercomplex-valued neural networks - Frequency domain processing using complex-valued neural networks - Phase-sensitive signal processing - Applications of complex- and hypercomplex-valued neural networks in image processing, speech processing, and bioinformatics - Quantum computation and quantum neural networks - Complex- and hypercomplex-valued neural networks in brain-computer interfaces - Complex- and hypercomplex-valued neural networks in robotics - Complex and hypercomplex-based hardware/devices such as lightwave and spin-wave neural devices Past Special Sessions: Special sessions on complex- and hypercomplex-valued neural networks have become a traditional event of the IJCNN conference. Twelve special sessions have been organized since 2006 (WCCI-IJCNN 2006, Vancouver; WCCI-IJCNN 2008, Hong Kong; IJCNN 2009, Atlanta; WCCI-IJCNN 2010, Barcelona; IJCNN-2011, San Jose; WCCI-IJCNN 2012, Brisbane; IJCNN-2013, Dallas; WCCI-IJCNN 2014, Beijing; WCCI-IJCNN 2016, Vancouver; WCCI-IJCNN 2018, Rio De Janeiro; WCCI-IJCNN 2020, Glasgow, WCCI-IJCNN 2022, Padua). These special sessions attracted numerous submissions and had large audiences. They featured many engaging presentations and very productive discussions. Because of the recent advances in complex- and hypercomplex-valued neural networks, we expect this special session to be as exciting and fruitful as the past special sessions. Organizers - Teijiro Isokawa. University of Hyogo, Japan - Marcos Eduardo Valle. Universidade Estadual de Campinas (Unicamp), Brazil - Danilo Mandic, Imperial College, London, UK - Igor Aizenberg, Manhattan College, USA - Akira Hirose, University of Tokyo, Japan Important Dates - Paper Submission: January 15, 2024 - Notification of Acceptance: March 15, 2024 - Final Paper Submission: May 01, 2024 - IEEE WCCI 2024, Yokohama, Japan. June 30 - July 05, 2024 Do not hesitate to contact me or the organizers if you have any questions. We are looking forward to seeing you in Yokohama! Best regards, Marcos Eduardo -------------- next part -------------- An HTML attachment was scrubbed... URL: From vomlel at utia.cas.cz Thu Dec 14 08:17:43 2023 From: vomlel at utia.cas.cz (Jirka Vomlel) Date: Thu, 14 Dec 2023 14:17:43 +0100 Subject: Connectionists: Postdoc positions in the Czech Academy of Sciences, Prague, EU Message-ID: <18cf09bd-7742-46b2-a9d7-e6f339c961c7@utia.cas.cz> The Institute of Information Theory and Automation (UTIA), Czech Academy of Sciences (_http://www.utia.cas.cz/_) invites applications for two-year postdoctoral positions in the institute beginning in July 2024. Candidates are expected to work in one of these areas: * artificial intelligence and machine learning, * probabilistic graphical models, * statistics and stochastics, * image, video, and signal processing, * control theory, * adaptive decision intelligence and human-centric intelligence, * modelling economic and financial problems, * non-smooth analysis, * PDEs, calculus of variations, and continuum mechanics. The candidates are also expected to have a strong record of, or outstanding potential for, significant research and have no more than two years since being awarded a Ph.D., Dr. or equivalent title (as of March 31). Moreover, experience in obtaining third-party funds is advantageous. The Institute offers a monthly salary of CZK 50 000 (about 2 000 EURO) and yearly benefits supporting e.g. recreational and sport activities, as well as health care programs. Complete applications must be received by *February 29, 2024*. In case of interest, please send your application via email to _utia at utia.cas.cz_. The application should include a CV, a research proposal, a motivation letter, and a copy of the PhD diploma. Letter(s) of recommendation is/are welcome. They should be sent by their authors directly to the email above. For further information see http://www.utia.cas.cz/news/3727 and the institute page at http://www.utia.cas.cz/ Jirka Vomlel -------------- next part -------------- An HTML attachment was scrubbed... URL: From v.steuber at herts.ac.uk Thu Dec 14 06:21:43 2023 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Thu, 14 Dec 2023 11:21:43 +0000 Subject: Connectionists: Postdoctoral Research Fellows in Computational Neuroscience at the University of Hertfordshire, UK In-Reply-To: References: Message-ID: Research Fellows in Computational Neuroscience Biocomputation Research Group University of Hertfordshire UK https://www.jobs.herts.ac.uk/go/053215 ________________________________ Application deadline: 14 January 2024 FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term contract until 31/12/2024 (extension expected pending funding availability) Salary: UH7 ?37,099 to ?44,263 pa commensurate with skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Main duties and responsibilities We are seeking to employ two full-time research fellows to join the Biocomputation Group at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate?s research will involve synergistic collaborations within a team of 16 PI in the US, UK and Canada towards understanding how odorants shape the behaviour of animals (https://odor2action.org ). The candidate will apply computational methods from Computational Neuroscience, AI, Machine Learning and/or Data Science in close collaboration with internationally leading experimental researchers who investigate the neurophysiology of the sense of smell, the dynamics of turbulent odorant plumes, and the structural biology of odorant receptors. Funding for international travel for research secondments is available. The successful candidate will be embedded in an interdisciplinary team of computational researchers whose expertise spans Neuroscience, Machine Learning, Information Theory, Cheminformatics, Software Engineering, and Neurorobotics, providing a unique opportunity to learn and create impactful research at the interface of these disciplines. The exact research topic is flexible within the opportunities provided through the Odor2Action research consortium. The preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals to funding bodies such as UK Research and Innovation (UKRI) and the European Commission are expected. The postholder will proactively create and exploit opportunities to maximise their research activity and engage with stakeholders to support impact. Skills and Experience The successful candidate will have a strong theoretical, computational and programming background in Computational Neuroscience and/or AI and/or Machine Learning and/or Data Science, evidenced e.g. by a degree in a relevant discipline or suitable professional experience. Will have demonstrated capability to apply computational methods for research discovery, e.g., through peer-reviewed research papers or monographs. The ability to conduct independent research, usually evidenced by a PhD or comparable research qualification. Proficiency in written and oral English. The candidate would ideally have experience in olfaction research and evidence of prior interdisciplinary research collaboration. Contribution to software packages and experience in releasing code are beneficial. Qualifications Required A minimum of an undergraduate honours degree in Computer Science, Physics, Mathematics, Neuroscience, Chemistry, Biology or a related discipline, and a PhD (or close to completion) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details for Informal Enquiries Professor Volker Steuber, v.steuber at herts.ac.uk Closing date: 14 January 2024 Interview date: TBC (Online) Reference number: 053215 Date advert placed: 14 December 2023 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. #GoHerts Apply online at https://www.jobs.herts.ac.uk/go/053215 Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk ________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marwen.belkaid at ensea.fr Thu Dec 14 05:19:11 2023 From: marwen.belkaid at ensea.fr (marwen Belkaid) Date: Thu, 14 Dec 2023 11:19:11 +0100 Subject: Connectionists: Research internship offer: Neural model of affect-driven prioritized attention, ETIS, Cergy-Pontoise (Paris, France) Message-ID: <28152037-df07-46c5-8e9f-99701379f8c0@ensea.fr> Applications are open for a research internship with a potential extension to a PhD thesis. _Topic_: Neural model of affect-driven prioritized attention A research internship is proposed on computational modeling at the interface between robotics and neuroscience on the link between affect and visual attention. This internship could be extended to a PhD thesis. More details about the topic and the application process here --> https://l.cyu.fr/uk4yk _Supervisor_: Marwen Belkaid _Workplace_: ETIS Lab, CY Cergy Paris Universit?, Site Saint-Martin, Cergy-Pontoise (Paris region) _Dates/Duration_: 5 to 6 months, starting from March/April 2024 (negotiable) Applications are reviewed as they come. It is recommended to apply before December 31, 2023. -- Marwen Belkaid Junior Professor Chair in Neuroscience and Robotics ETIS Lab | CY Cergy Paris Universit?, ENSEA, CNRS UMR8051 Address: 2 avenue Adolphe-Chauvin, BP 222, Pontoise 95302 Webpage:https://marwenbelkaid.github.io/ Twitter: @marwenBelkaid -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Thu Dec 14 04:03:49 2023 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Thu, 14 Dec 2023 09:03:49 +0000 Subject: Connectionists: CfP 5th workshop on Resources for African Indigenous Language (RAIL) @ LREC-COLING Message-ID: <4256f9feca783b84ff6c6f068c0542be1ffc2c63.camel@nwu.ac.za> First call for papers The fifth workshop on Resources for African Indigenous Language (RAIL) Colocated with LREC-COLING 2024 https://bit.ly/rail2024 Conference dates: 20-25 May 2024 Workshop date: 25 May 2024 Venue: Lingotto Conference Centre, Torino (Italy) The fifth RAIL workshop website: https://bit.ly/rail2024 LREC-COLING 2024 website: https://lrec-coling-2024.org/ The fifth Resources for African Indigenous Languages (RAIL) workshop will be co-located with LREC-COLING 2024 in Lingotto Conference Centre, Torino, Italy on 25 May 2024. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. Many African languages are under-resourced while only a few of them are somewhat better resourced. These languages often share interesting properties such as writing systems, or tone, making them different from most high-resourced languages. From a computational perspective, these languages lack enough corpora to undertake high level development of Human Language Technologies (HLT) and Natural Language Processing (NLP) tools, which in turn impedes the development of African languages in these areas. During previous workshops, it has become clear that the problems and solutions presented are not only applicable to African languages but are also relevant to many other low-resource languages. Because these languages share similar challenges, this workshop provides researchers with opportunities to work collaboratively on issues of language resource development and learn from each other. The RAIL workshop has several aims. First, the workshop brings together researchers who work on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop has ?Creating resources for less-resourced languages? as its theme, but submissions on any topic related to properties of African indigenous languages (including non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references. The final camera-ready version of accepted long papers are allowed one additional page of content (up to 9 pages) so that reviewers? feedback can be incorporated. Papers should be formatted according to the LREC- COLING style sheet (https://lrec-coling-2024.org/authors-kit/), which is provided on the LREC-COLING 2024 website (https://lrec-coling-2024.org/). Reviewing is double-blind, so make sure to anonymise your submission (e.g., do not provide author names, affiliations, project names, etc.) Limit the amount of self citations (anonymised citations should not be used). The RAIL workshop follows the LREC-COLING submission requirements. Please submit papers in PDF format to the START account (the submission link will be available soon). Accepted papers will be published in proceedings linked to the LREC-COLING conference. Important dates: Submission deadline: 16 February 2024 Date of notification: 15 March 2024 Camera ready deadline: 29 March 2024 RAIL workshop: 25 May 2024 Organising Committee Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Muzi Matfunjwa, South African Centre for Digital Language Resources (SADiLaR), South Africa Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen at nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________ From bbiancardi at cesi.fr Thu Dec 14 07:01:41 2023 From: bbiancardi at cesi.fr (BIANCARDI Beatrice) Date: Thu, 14 Dec 2023 12:01:41 +0000 Subject: Connectionists: CfP AVI 2024 Advanced Visual Interfaces - 2nd Call for Papers References: Message-ID: CfP AVI 2024 Advanced Visual Interfaces - 2nd Call for Papers ACM in-cooperation Conference on Advanced Visual Interfaces ================================================= 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ================================================= IMPORTANT DATES Long and short papers: - Abstract submission: Wednesday, January 10, 2024 - Paper submission: Wednesday, January 17, 2024 (all deadlines are 23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 --------------------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy. We look forward to your participation in AVI 2024! Cristina Conati, AVI 2024 General Chair Gulatiero Volpe, AVI 2024 General Chair Ilaria Torre, AVI 2024 Program Chair --------------------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Visual Interfaces Computer Supported Cooperative Work Conversational Interfaces Full-body Interaction Human-AI Interaction Visual Interfaces for Human-Centered AI Systems Information Visualization Intelligent Interfaces Creative AI for advanced visual interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Generative AI for the design and development of visual interfaces Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for i-TV Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces for Children Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices User Interfaces for the Internet of Things Usability and Accessibility Usability and (Cyber)Security Virtual and Augmented Reality Visual Analytics LONG AND SHORT RESEARCH PAPERS We solicit high-quality original research papers in the area of advanced visual interfaces and Human-Computer Interaction in general. All submissions will be peer-reviewed by an international panel of experts. Long and Short papers are publications that address AVI 2024 topics and describe original, unpublished research. Submissions must be anonymized. The maximum length of long papers is 8 pages (with one additional page for references). The maximum length of short papers is 4 pages (with one additional page for references). SUBMISSION FORMAT All the papers mentioned above, i.e., long and short research papers, require online submission. Authors must format submissions according to the ACM SIGCONF template. Please find the templates below: - Latex for Overleaf: https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty - Word Template: https://www.acm.org/publications/proceedings-template Long and short papers must be anonymized, removing information (such as authorship, acknowledgments, name of an application, or software, or project) that can suggest the authors' identity. Citation to authors' previous work should not be anonymous and should be in third person in the text, e.g., "As described by [10]" and not "As described in our previous work [10]". Papers must be submitted online on EasyChair https://easychair.org/conferences/?conf=avi2024 Authors are required to send a 250-word abstract by the abstract deadline, one week before final submission, to speed up the paper assignment to reviewers. PROCEEDINGS Since 1994, accepted long and short research papers are included in the Proceedings published by ACM Press and available in the ACM Digital Library. For each accepted paper, at least one author must register to AVI 2024 by the early registration deadline for authors and present the paper at the Conference. --------------------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Patern?, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Universit? C?te d'Azur, France --------------------------------------------------------------------------- @avi2024conference (https://www.facebook.com/avi2024conference/) @avi2024conference (https://www.instagram.com/avi2024conference/) @avi2024conf (https://twitter.com/avi2024conf) [cid:image001.png at 01DA2E8D.AD259A00] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi at cesi.fr https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image002.png at 01DA2E8D.AD259A00] [cid:image003.png at 01DA2E8D.AD259A00] [cid:image004.png at 01DA2E8D.AD259A00] [cid:image005.png at 01DA2E8D.AD259A00] [cid:image006.png at 01DA2E8D.AD259A00] cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.png Type: image/png Size: 588 bytes Desc: image006.png URL: From fmschleif at googlemail.com Fri Dec 15 02:57:59 2023 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Fri, 15 Dec 2023 08:57:59 +0100 Subject: Connectionists: WSOM+ 2024: One month to deadline and some news Message-ID: -- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de Confirmed invited speakers: - John Aldo Lee - Universit? catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Call for papers WSOM+ Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM IMPORTANT DATES: ? Paper submission deadline: 15 January 2024 ? Notification of acceptance: 15 March 2024 ? The WSOM+ 2024 conference: 10-12 July 2024, Mittweida, Germany Submission details and other information at wsom.si-cim.de (The submission system will be conftool and open in the next days) All the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From A.Visser at uva.nl Fri Dec 15 08:44:40 2023 From: A.Visser at uva.nl (Arnoud Visser) Date: Fri, 15 Dec 2023 13:44:40 +0000 Subject: Connectionists: Call for Papers: RoboCup International Symposium 2024 Message-ID: Call for papers RoboCup International Symposium 2024 https://2024.robocup.org/?page_id=2734 Monday 22 July 2024 Eindhoven, Netherlands. The 27th RoboCup International Symposium will be held on 22 July 2024, in conjunction with RoboCup 2024 (15 July to 21 July 2024), in Eindhoven, The Netherlands. We call for submissions of papers reporting innovative, original research with relevance to areas of robotics and artificial intelligence as listed below. Within the described scope of topics, we also encourage submissions of high-quality overview articles, papers describing real-world research, and papers reporting theoretical results. Researchers are invited to submit their work independently of whether they participate in the RoboCup competitions or have a RoboCup team. The symposium will be held in person at the Evoluon Conference Center in Eindhoven. In addition to the regular track with regular research papers, there is the development track encouraging reports on innovative hardware developments, software frameworks, and open-source releases of software components. A review of papers describing these contributions will be based on technical aspects and benefits to the practice of communities working in the above fields in general and RoboCup in particular. IMPORTANT DATES Submission of full papers: 30 January 2024 Notification to authors: 04 May 2024 Submission of camera-ready copies: 20 May 2024 RoboCup Symposium 2024: 22 July 2024 (RoboCup on 15-21 July 2024) SUBMISSION AND PROCEEDINGS All papers will be peer-reviewed and evaluated by members of the senior program committee. The proceedings of the RoboCup International Symposium will be published and archived within the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series by Springer-Verlag after the conference. Papers should be formatted following the LNAI author guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and must be electronically submitted through Springer's electronic-submission system EquinOCS (https://equinocs.springernature.com/service/RoboCup2024). Submissions are limited to 12 pages including references. The LNAI author guidelines site contains a Springer's proceedings LaTeX template (v2.23), an older version of this template (v2.21) is also available in Overleaf: (https://www.overleaf.com/latex/templates/springer-conference-proceedings-template-updated-2022-01-12/wcvbtmwtykqj) TOPICS Topics of interest include, but are not limited to: * Robot Hardware and Software - mobile robotics - humanoid robotics - sensors and actuators - embedded and mobile devices - robot construction and new materials - robot system integration - robot software architectures - robot programming environments and languages - real-time and concurrent programming - robot simulators - sim2real learning * Perception and Action - 3D perception - distributed sensor integration - sensor noise filtering - real-time image processing and pattern recognition - motion and sensor models - sensory-motor control - robot kinematics and dynamics - high-dimensional motion control * Robot Cognition and Learning - world modelling and knowledge representation - learning from demonstration and imitation - localisation, navigation, and mapping - planning and reasoning - decision making under uncertainty - neural systems and deep learning - complex motor skill acquisition - reinforcement learning and optimisation - motion and sensor model learning * Human-Robot Interaction - robot social intelligence - fluency of interaction - speech synthesis and natural language generation - natural language recognition - explainable robot behaviours - emotion recognition and reaction - understanding human intent and behaviour - safety, security and dependability - enabling humans to predict robot behaviour * Multi-Robot Systems - team coordination methods - communication protocols - learning and adaptive systems - teamwork and heterogeneous agents - dynamic resource allocation - adjustable autonomy * Education and Edutainment - robotics and artificial intelligence education - educational robotics - robot kits and programming tools - robotic entertainment * Applications and Benchmarking - search and rescue robots - robot surveillance - service and social robots - robots at home, at work and in public spaces - robots in the real world - performance metrics - human-robot interaction DEVELOPMENT TRACK To encourage open-source release of hardware and software systems, the RoboCup International Symposium has included a development track in recent years. In 2024, we expand the scope of this track to include datasets and benchmarks. We encourage the submission of papers describing open-source hardware and software, tools and frameworks that facilitate development of robotics hardware and software, datasets that enable new robotic capabilities, as well as benchmarks that establish reproducible test beds and performance metrics to advance research. If applicable, contributions to the special track should include evidence of the released system or dataset, and highlight past, ongoing, and/or potential future impacts on the RoboCup community. A review of these contributions will be based on technical merit and benefits to the RoboCup community, and the research topics listed above. PROGRAM CO-CHAIRS Hiroyuki Okada (Tamagawa University, Japan) Elena Torta (Eindhoven University of Technology, NL) Josiah Hanna (University of Wisconsin - Madison, USA) Edna Barros (Federal University of Pernambuco, Brazil) LOCAL ORGANIZERS Elena Torta (Eindhoven University of Technology, NL) ?m?r Arslan (Eindhoven University of Technology, NL) Femke van Beek (Eindhoven University of Technology, NL) Arnoud Visser (University of Amsterdam, NL) CONTACT You can contact via the PC chairs via the contact button in EquinOCS BONUS You can download a Poster version of the Call for Papers for your lab from https://staff.fnwi.uva.nl/a.visser/activities/robocup/RoboCup2024/PosterRoboCupSymposium2024_v3.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From emanuel.dinardo at collaboratore.uniparthenope.it Fri Dec 15 09:12:52 2023 From: emanuel.dinardo at collaboratore.uniparthenope.it (EMANUEL DI NARDO) Date: Fri, 15 Dec 2023 14:12:52 +0000 Subject: Connectionists: [CFP] A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision Message-ID: <4F3735A0-9F53-4D5F-B74D-D8758AF5E83F@uniparthenope.it> [Apologies if you receive multiple copies of this CFP] Call for papers for special session "A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision" Special session is included in IJCNN at the IEEE WCCI 2024 in Yokohama Scope and topics Computer vision has always been an extremely popular topic in the field of Artificial Intelligence. It is of fundamental importance in many high-impact application areas, such as in security with Visual Object Tracking, in the medical field through the possibility of making predictions of diseases and attempting to locate through object detection and segmentation possible diseased areas in images. It is perfectly applicable to any kind of visual input even from different domains such as using data from ECG or EEG that can easily be transformed from one-dimensional signals into two or tri-dimensional signals and represent them with high semantic meaning as images. Moreover, with the latest generative techniques, artificial data can be made with extraordinary fidelity. The techniques produced in this area are able to work on both static images and sequences of images, which can have both temporal and volumetric expansion. Because of all these applications, some of them extremely sensitive and high-impact for humans, it has become necessary in recent years to begin to understand why a neural model working on images chooses one response over another. This is possible through explainable Artificial Intelligence techniques. As time goes on, however, it becomes increasingly important not only to explain why an artificial neural network makes choices, but also and especially to provide architectures that can explicitly or implicitly provide a set of explanations/rules, why it was possible to interpret a certain output with given input and verify the mechanisms that are activated within it, even making them predictable. Finally, it is becoming more and more appropriate to put side by side with this type of analysis, how well a model is able to "defend" and "adapt" itself from elements in the external world. that attempt to confuse the model and try to steer it down the wrong path. Thus, the purpose of this special session is to revise computer vision models by changing the perspective of looking at these methodologies, making them no longer only data- and performance-driven, which is the point on which mostly new algorithms are created, but to be able to make them become human-centric, that is, through processes of explainability, interpretability, and resilience to go about unwinding the skein of uncertainty that hovers over deep learning and, especially, in the field of computer vision by allowing artificial intelligence to be reliable from a human perspective. The topics of interest for this special session include (but are not limited to): * Explainability and interpretability of deep neural networks * Resilient models in computer vision * Robustness and adaptation to adversarial inputs * Visualization techniques for explainability and interpretability * Meta-explanation, generative description of outputs * Specific explainability and effects of visual attributes in images * Datasets reliability * Multisource imaging interpretation Paper submission deadline is January 15, 2024 To submit a paper use edas platform (https://edas.info/newPaper.php?c=31628&track=121739) and specify, in the topics section, that your paper is for the "A Human-Centric Perspective of Explainability, Interpretability and Resilience in Computer Vision?. Paper submission guidelines can be found on WCCI website (https://2024.ieeewcci.org/) All papers accepted and presented at WCCI2024 will be included in the conference proceedings published by IEEE Explore. All details can be found here (https://sites.google.com/view/heiro-ijcnn-call-for-paper/home) Organizers Emanuel Di Nardo, PhD, University of Naples Parthenope, Italy Prof. Ihsan Ullah, University of Galway, Ireland Prof. Angelo Ciaramella, University of Naples Parthenope, Italy ------ Emanuel Di Nardo, PhD University of Naples Parthenope Naples, Italy emanuel.dinardo at uniparthenope.it https://research.emanueldinardo.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Fri Dec 15 05:48:04 2023 From: announce at ucy.ac.cy (Announce) Date: Fri, 15 Dec 2023 10:48:04 +0000 Subject: Connectionists: 28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024): Last Call for Papers Message-ID: *** Last Call for Papers *** 28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024) 19-21 June, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/iceccs2024/ (*** Submission Deadline: 5 January, 2024 AoE (extended) ***) Recent years have witnessed a rapidly rising emphasis on the design, implementation and management of complex computer systems which are present in every aspect of human activities, such as manufacturing, communications, defence, transportation, aerospace, hazardous environments, energy, and healthcare. These complex systems are frequently distributed over heterogeneous networks and process a large amount of data, leveraging emerging artificial intelligence (AI), large language models, and machine learning techniques. Complexity arises from many factors, including the dynamic environment and the scenarios these systems operate in, demanding and sometimes conflicting requirements in functionality, efficiency, scalability, security, dependability and adaptability, data heterogeneity, as well as the wide range of development methodologies, programming languages and implementation details. Performance, real-time behaviour, fault tolerance, robustness, security, adaptability, development time and cost, and long life concerns are some of the key issues arising in the development of such systems. The International Conference on Engineering of Complex Computer Systems (ICECCS) is a well-established event that has been held around the world for over 25 years. The goal of this conference is to bring together industrial, academic, and government experts from a variety of application domains and software disciplines, to discuss how the disciplines? problems and solution techniques interact within the whole system. Researchers, practitioners, tool developers and users, and technology transfer experts are all welcome. The scope of the conference includes long-term research issues, near-term requirements and challenges, established complex systems, emerging promising tools, and retrospective and prospective reflections of research and development into complex systems. LIST OF TOPICS Authors are invited to submit papers describing original, unpublished research results, case studies and tools. Papers are solicited in all areas related to complex computer-based systems, including the causes of complexity and means of avoiding, controlling, or coping with complexity. Topic areas include, but are not limited to: Requirements, modeling and formal methods ? Requirements analysis and specification ? Model-driven development ? Model checking ? SAT/SMT solvers for software analysis and testing AI, Complex intelligent models and complex systems ? Big data management ? Data-drive and AI-backed systems ? Machine Learning for Software Engineering ? AI4SE and SE4AI ? Adaptive, self-managing and multi-agent systems Security, reliability and dependability ? Safety-critical and fault-tolerant architectures ? Formal methods ? Security and privacy of complex systems ? Privacy-preserving AI ? Fairness Software engineering ? Verification and validation ? Reverse engineering and refactoring ? Software architecture ? Human Machine Interaction ? Agile methods Realistic complex systems ? Ubiquitous computing, context awareness, sensor networks ? Cyber-physical systems and Internet of Things (IoT) ? Autonomous systems and self-healing systems ? Industrial case studies Different kinds of contributions are sought, including novel research, lessons learned, experience reports, and discussions of practical problems faced by industry and user domains. The ultimate goal is to build a rich and comprehensive conference program that can fit the interests and needs of different classes of attendees: professionals, researchers, managers, and students. A program goal is to organize several sessions that include both academic and industrial papers on a given topic and culminate panels to discuss relationships between industrial and academic research. COLLABORATION WITH THE ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY (TOSEM) To facilitate the dissemination of high-quality research presented at ICECCS 2024, selected papers will be invited to submit extended versions of their accepted conference papers to ACM Transactions on Software Engineering and Methodology (TOSEM). Authors of these selected papers are kindly requested to submit their extended manuscripts within six months following their conference presentation. Upon the authors' acceptance of this invitation, TOSEM will provide comprehensive instructions and requirements for the submission and review process. TOSEM will conduct its rigorous review process and make final decisions on acceptance. SUBMISSION AND PUBLICATION Full papers are divided into two categories: Technical Papers and Experience Reports. The papers submitted to both categories will be reviewed by the program committee members, and papers accepted in either category will be published in the conference proceedings. Technical papers should describe original research, and experience reports should present practical projects carried out in the industry, and reflect on the lessons learnt from them. Short paper submissions describe early-stage, ongoing or PhD research. All short papers will be reviewed by the program committee members, and accepted short papers will be published in the conference proceedings. Submissions to the conference must not have been published or be concurrently considered for publication elsewhere. All submissions will be judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the conference. The proceedings have been published by the Conference Publishing Services (CPS) of the IEEE Computer Society. Submitted manuscripts should be in English and formatted in the style of the double-column IEEE CPS format. Full papers should not exceed 9 pages + 1 page for bibliography, and short papers should not exceed 5 pages + 1 page for bibliography, including figures, references, and appendices. All submissions should be in PDF format. Submissions not adhering to the specified format and length may be rejected immediately without review. Please prepare your manuscripts in accordance with the IEEE CPS guidelines. https://www.ieee.org/conferences/publishing/templates.html . We invite all prospective authors to submit their manuscripts via the ICECCS 2024 portal, hosted by the EasyChair conference management system. https://easychair.org/conferences/?conf=iceccs2024 . IMPORTANT DATES ? Abstract Submissions Due: 29 December, 2023 AoE (extended) ? Full Paper Submissions Due: 5 January, 2024 AoE (extended) ? Acceptance/Rejection Notification: 15 March, 2024 ? Camera-ready Due: 15 April, 2024 ? Author Registration Due: 15 April, 2024 ? Conference Dates: 19-21 June, 2024 ORGANISATION Steering Committee ? Jin Song Dong, National University of Singapore, Singapore ? Mike Hinchey, University of Limerick, Ireland ? Xiaohong Li, Tianjin University, China ? Shaoying Liu, Hiroshima University, Japan ? Mauro Pezze, University in Lugano, Switzerland ? Roy Sterritt, Ulster University, United Kingdom ? Jing Sun (Chair), University of Auckland, New Zealand General Co-Chairs ? Yamine Ait-Ameur, IRIT, France ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Guangdong Bai, University of Queensland, Australia ? Fuyuki Ishikawa, National Institute of Informatics, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From papaleon at sch.gr Fri Dec 15 11:13:22 2023 From: papaleon at sch.gr (Papaleonidas Antonios) Date: Fri, 15 Dec 2023 18:13:22 +0200 Subject: Connectionists: 20th AIAI 2024 - 25th EANN/ EAAAN 2024 Submission In-Reply-To: <93a301da18ac$4210a6c0$c631f440$@civil.duth.gr> References: <93a301da18ac$4210a6c0$c631f440$@civil.duth.gr> Message-ID: <38f801da2f71$a06ed940$e14c8bc0$@sch.gr> Dear colleagues We would like to invite you to submit your work at the 20th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2024) and/or at the 25th International Conference on Engineering Applications of Neural Networks / Advances of Artificial Intelligence (EANN / EAAAI 2024). 20th AIAI & 25th EANN / EAAAI joint hybrid events 27 - 30 June 2024 Full Hybrid @ Web & Ionian University, Corfu, Greece https://ifipaiai.org/2024/ & https://eannconf.org/2024/ 20th International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024, is technically sponsored by IFIP Artificial Intelligence Applications WG12.5, while 25th International Conference on Engineering Applications and Advances of Artificial Intelligence EAAAI 2024, (ex EANN series), is technically sponsored by the INNS (International Neural Network Society). HYBRID EVENTS Both events will be held as full hybrid conferences. All participants will be able to present their work and fully attend the conference no matter if they are in the venue (Ionian University, Corfu, Greece) or at their office, at home, or everywhere in the world. SPECIAL ISSUES & PROCEEDINGS Selected papers will be published in high quality international scientific Journals. Journal list will be completed soon. More info can be found at https://ifipaiai.org/2024/special-issues/ and https://eannconf.org/2024/special-issues/ Proceedings will be published by SPRINGER IFIP AICT Series for AIAI conference and by SPRINGER CCIS book series for EANN/ EAAAI conference. Starting from 2024, AIAI and EANN/EAAAI conference series are providing two more pages to all authors so submitted papers can be up to 14 pages long and not less than 6 pages. Submission details and instructions can be found at AIAI web site and EANN/ EAAAI web site. BIBLIOMETRIC DETAILS We proudly announce that according to Springer's statistics, the last 17 AIAI conferences have been downloaded 2,488,000 times, while last 14 EANN / EAAAI conferences have been downloaded more than 890,000 times! IFIP AIAI series has reached h-index of 35 while EANN / EAAAI series reached h-index of 28. Published papers have been Cited more than 14.500 times! For more Bibliometric Details please click AIAI BIBLIOMETRIC DETAILS or EANN / EAAAI BIBLIOMETRIC DETAILS IMPORTANT DATES * Workshops & Special Sessions proposals deadline: 13th of January 2024 * Paper Submission Deadline: 29th of February 2024 * Notification of Acceptance: 24th of March 2024 * Camera ready Submission: 20th of April 2024 * Early / Authors Registration Deadline: 20th of April 2024 * Conference: 27 - 30 of June 2024 KEYNOTE SPEAKERS So far, three Plenary Lectures have been announced. Professor Angelo Cangelosi, University of Manchester and Alan Turing Institute, UK, will give a talk about "Developmental Robotics for Language Learning, Trust and Theory of Mind." Professor Haris Mouratidis, University of Essex, UK, will give a talk about "AI and cybersecurity: Friend or Foe?" Professor Emma Hart, Edinburgh Napier University, UK, will give a talk about "Evolutionary Approach to the Autonomous Design and Fabrication of Robots for Operation in Unknown Environments?" More Keynote speakers will be announced soon. VENUE Conference activities will take place at the Ionian University in Corfu Island, Greece Ionian University is located in Corfu Island and all conference activities will take place in the main buildings located in the city of Corfu. More details will be announced soon at https://ifipaiai.org/2024/venue/ and https://eannconf.org/2024/venue/ Conference topics, CFPs, Submissions & Registration details can be found at: * https://ifipaiai.org/2024/call-for-papers/ * https://ifipaiai.org/2024/paper-submission/ * https://ifipaiai.org/2024/registration/ and * https://eannconf.org/2024/call-for-papers/ * https://eannconf.org/2024/paper-submission/ * https://eannconf.org/2024/registration/ We are expecting Submissions on all topics related to Artificial and Computational Intelligence and their Applications. Detailed Guidelines on the Topics and the submission details can be found at the links above. On behalf of AIAI / EANN / EAAAI 2024 committee Papaleonidas Antonios Program and Organizing co-Chair of AIAI / EANN / EAAAI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mturner at flatironinstitute.org Fri Dec 15 11:19:55 2023 From: mturner at flatironinstitute.org (Matthew Turner) Date: Fri, 15 Dec 2023 11:19:55 -0500 Subject: Connectionists: Fully Funded Summer Internships at CCN (Flatiron Institute, NYC) In-Reply-To: References: Message-ID: Dear all, The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation will be offering our fully-funded summer internships once again in 2024. More details are included below and on the application page , and applications are due by February 2, 2024. Please feel welcome to share widely and contact me with any questions. *Summer Interns (Undergraduate, Graduate, and Pre-Doctoral)* *ORGANIZATIONAL OVERVIEW* The Center for Computational Neuroscience (CCN) aims to develop theories, models, and computational methods that deepen our knowledge of brain function ? both in health and in disease. CCN takes a ?systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN is one of five centers that make up the Flatiron Institute, an internal scientific unit of the Simons Foundation, focused on computational aspects of a wide range of basic science. The general mission of the Flatiron Institute is to advance scientific research through computational methods, including theory, modeling, simulation and data analysis. CCN?s core research groups include computational vision (Eero Simoncelli , PI), neural circuits and algorithms (Dmitri ?Mitya? Chklovskii , PI), neuroAI and geometric data analysis (SueYeon Chung , PI), statistical analysis of neural data (Alex Williams , PI). Candidates must select a primary group for their application, and can optionally indicate a secondary group. Candidates specifically interested in contributing to open source software projects at CCN should indicate the NeuroRSE group as their secondary group. *POSITION SUMMARY * CCN invites applications for paid summer internship positions by motivated students in computational neuroscience, physics, electrical engineering, machine learning, computer science or related fields. The purpose of this Summer Internship Program is to allow students studying in a relevant field the opportunity to be employed at the CCN for the purpose of collaborating on a research project with one or more CCN staff mentors. Knowledge of neuroscience is helpful but not required. Interested applicants should review the research group pages listed above, and should describe in their research statement the project on which they'd like to collaborate and the research group(s) with whom they?d like to work. Undergraduate students will be appointed with the title of Summer Research Assistant, graduate students will be appointed with the title of Summer Research Associates, and advanced doctoral students (defined as doctoral students who have passed comprehensive/qualifying exams and are actively working on their thesis) will be appointed as Summer Predoctoral Scholars. CCN Summer Interns are invited to participate as full members of the CCN and Flatiron communities during their term of residency. CCN Summer Interns are assigned a primary mentor and research group within the center, are invited to attend and present within their research group?s meetings, and are also invited to participate in meetings of CCN?s other research groups as well as center- and Flatiron-wide activities such as guest lectures, training on use of the Institute?s robust scientific computing resources, and intern social activities. Finally, Summer Interns will be invited to present their work at an Institute-wide symposium held at the end of the residency period. The CCN Summer Internship Program will take place in-person at the Simons Foundation?s offices in New York City. CCN will provide eligible Summer Interns roundtrip travel to New York City and subsidized housing for the duration of their employment. Intern appointment titles and compensation will be determined based on the intern?s education level and experience. Visit the Summer at Simons page to learn more. *ESSENTIAL FUNCTIONS/RESPONSIBILITIES* ? Reporting to the assigned mentor in the CCN, the projects will involve analysis of neuroscience data and modeling networks, applying the skills of analytical calculations and computer programming ? Perform any other duties or tasks as assigned or required *MINIMUM QUALIFICATIONS* *Education:* ? Candidates should be enrolled in an undergraduate, graduate, or doctoral degree program in computational neuroscience, electrical engineering, physics, computer science or related fields. ? Candidates must have permission to participate in the program from their dissertation advisor/PI (CCN PIs will be in touch with advisors directly to confirm). *Experience:* ? Experience with research projects in electrical engineering, computer science physics or related fields is helpful. *Related Skills & Other Requirements:* ? The successful applicant should have experience with programming in Matlab, Python, or C ? The applicant should have satisfactorily completed Cal III and Linear Algebra (NeuroRSE applicants are exempt from this requirement) ? The applicant should have experience with basic optimization and machine learning techniques (Helpful but not required for NeuroRSE candidates) ? Elementary knowledge of neuroscience is helpful *Summer Internship Program and Deadlines* ? Summer Internship Period: May 28 to August 9, 2024 ? Deadline to apply: February 2, 2024 Decisions will be made on a rolling basis through Friday, March 15, 2024. *REQUIRED APPLICATION MATERIALS* ? Curriculum vitae with bibliography; ? Research statement of no more than two pages describing the candidate?s past research experience, the research project on which the candidate would like to work, and the CCN research group(s) with whom the candidate would like to collaborate. *COMPENSATION* ? Interns at the Research Assistant (undergraduate) level will earn $20.00 per hour ? Interns at the Research Associate (graduate) level will earn $25.00 per hour ? Interns at the Predoctoral Researcher (advanced doctoral students) will earn $28.85 per hour. *THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT* Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law. To apply, please visit: https://apply.interfolio.com/137388 Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Co-Chair, Flatiron Institute Professional Development Committee Flatiron Institute 917.363.1095 mobile mturner at flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron -------------- next part -------------- An HTML attachment was scrubbed... URL: From taislee at andrew.cmu.edu Fri Dec 15 13:27:42 2023 From: taislee at andrew.cmu.edu (Tai-Sing Lee) Date: Fri, 15 Dec 2023 13:27:42 -0500 Subject: Connectionists: Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience In-Reply-To: References: Message-ID: <8CFD24C2-F56F-4282-A7E5-F74124E548D3@andrew.cmu.edu> Please encourage computationally oriented undergraduates to apply to the Summer 2024 undergraduate program in computational neuroscience (uPNC) in Pittsburgh! Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Neuroscience Institute in Pittsburgh, PA. The environment at Carnegie Mellon University has much to offer to students interested in computational approaches. We benefit from a partnership with the Center for the Neural Basis of Cognition, a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Admitted students will receive a stipend of $4500, in addition to travel expenses to/from Pittsburgh, PA, and university dormitory housing. All further information and the application can be found here . (https://www.cmu.edu/ni/academics/undergraduate-training/summer-ugrad-comp-neuro.html ) A showcase of past years? undergraduate mentored research and program schedules is also available. Application Receipt Deadline: February 15, 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mariya.k.toneva at gmail.com Fri Dec 15 15:16:29 2023 From: mariya.k.toneva at gmail.com (Mariya Toneva) Date: Fri, 15 Dec 2023 21:16:29 +0100 Subject: Connectionists: [Jobs] Open Postdoc + PhD positions Message-ID: The Research Training Group 2853 ?Neuroexplicit Models of Language, Vision, and Action? is looking for 6 PhD students - September 2024 1 Postdoc - March 2024 or later Neuroexplicit models combine neural and human-interpretable (?explicit?) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (?Language?), computer vision (?Vision?), and planning and reinforcement learning (?Action?) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (?Foundations?). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025; the first six PhD students started in late 2023. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbr?cken, Germany. The positions are funded as follows: - PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master?s thesis or relevant publications. - The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG?s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics J?rg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 7 January 2024 to apply at neuroexplicit.org . Include the reference number W2298 for the postdoc position and the reference number W2299 for the PhD positions. We aim to conduct job interviews in July (for a start in October) and September (for a later start). The legally binding version of this job ad is at https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2412.pdf (postdoc) and https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2411.pdf (PhD), respectively. For details on what materials to submit with your application and all other information about the RTG, please see our website: https://www.neuroexplicit.org/jobs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hugo.o.sousa at inesctec.pt Fri Dec 15 14:32:41 2023 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Fri, 15 Dec 2023 19:32:41 +0000 Subject: Connectionists: Text2Story@ECIR'24 Call for Papers Message-ID: <4b34d69428d844f99b03cf452217fa56@inesctec.pt> *** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ **************************************************************************** Seventh International Workshop on Narrative Extraction from Texts (Text2Story'24) Held in conjunction with the 46th European Conference on Information Retrieval (ECIR'24) March 24th, 2024 ? Glasgow, Scotland Website: https://text2story24.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission Deadline: January 10th, 2024 - Acceptance Notification: February 23rd, 2024 - Camera-ready copies: March 15th, 2024 - Workshop: March 24th, 2024 ++ Overview ++ Over these past years, significant breakthroughs, led by Transformers and Large Language Models (LLMs), have been made in understanding natural language text. However, the ability to capture, represent, and analyze contextual nuances in longer texts is still an elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. In the seventh edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g, chatGPT) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation and understanding from texts including but not limited to narrative information extraction aspects, narratives representation, knowledge extraction, ethics and bias in narratives, datasets and evaluation protocols and narrative applications such as visualization of narratives, multi-modal aspects, Q&A, etc. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: Information Extraction Aspects * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Big Data Applied to Narrative Extraction Narrative Representation * Annotation protocols * Narrative Representation Models * Lexical, Syntactic, and Semantic Ambiguity in Narrative Representation Narrative Analysis and Generation * Argumentation Analysis * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Comprehension of Generated Narratives * Story Evolution and Shift Detection * Automatic Timeline Generation Datasets and Evaluation Protocol * Evaluation Methodologies for Narrative Extraction * Annotated datasets * Narrative Resources Ethics and Bias in Narratives * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking Narrative Applications * Narrative-focused Search in Text Collections * Narrative Summarization * Narrative Q&A * Multi-modal Narrative Summarization * Sentiment and Opinion Detection in Narratives * Social Media Narratives * Narrative Simplification * Personalization and Recommendation of Narratives * Storyline Visualization ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset - published at ECIR'21 - under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks (e.g., Q&A), especially when combined with Large Language Models (LLMs) like ChatGPT. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We solicit the following types of contributions: * Full papers up to 8 pages + references Original and high-quality unpublished contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Short papers up to 5 pages + references Unpublished short papers describing work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. * Demos | Resource Papers up to 5 pages + references Unpublished papers presenting research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community; Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Invited Speakers ++ Homo narrans: From Information to Narratives Jochen L. Leidner, Coburg University of Applied Sciences, Germany Abstract: Humans are curious creatures, equipped with a sense of (and desire for) finding meaning in their environment. They are predisposed to identify patterns, real and spurious, in the world they live in, and above anything else, they understand the world in terms of narratives. In this talk, we will explore a set of questions about narratives: what is a narrative made up of? What signals from textual prose tell us what the narrative is? What about signals from structured data that imply a particular narrative? What is the essence of a story? How can narrative information be extracted and presented? Open source intelligence analysts and investigative reporters alike are hunting for the story, the narrative, behind the petabyte intercepts or terabyte leaks. The more data we gather or have available, the stronger will be our thirst to distill meaningful stories from it. Bio: Professor Jochen L. Leidner MA MPhil PhD FRGS is the Research Professor for Explainable and Responsible Artificial Intelligence in Insurance at Coburg University of Applied Sciences and Arts, Germany, where he leads the Information Access Research Group, a Visiting Professor of Data Analytics in the Department of Computer Science, University of Sheffield and founder and CEO of the consultancy KnowledgeSpaces. He is also a Fellow of the Royal Geographical Society. Dr. Leidner's experience includes positions as Director of Research at Thomson Reuters and Refinitiv in London, where he headed its R&D team (2013-2022). He has built up research and innovation teams. He was also the Royal Academy of Engineering Visiting Professor of Data Analytics at the Department of Computer Science. His background includes a Master's in computational linguistics, English and computer science (University of Erlangen-Nuremberg), a Master's in Computer Speech, Text and Internet Technology (University of Cambridge) and a PhD in Informatics (University of Edinburgh), which won the first ACM SIGIR Doctoral Consortium Award. He is a scientific expert for the European Commission (FP7, H2020, Horizon Europe) and other funding bodies in Germany, Austria, the UK and the USA. He also is a past chair of the Microsoft-BCS/BCS IRSG Karen Sparck Jones award. Professor Leidner is an author or co-author of several dozen peer-reviewed publications (including one best paper award), has authored or co-edited two books and holds several patents in the areas of information retrieval, natural language processing, and mobile computing. He has been twice winner of the Thomson Reuters inventor of the year award for the best patent application, and is the past received of a Royal Society of Edinburgh Enterprise Fellowship in Electronic Markets. Visual Storytelling with Question-Answer Plans Mirella Lapata, University of Edinburgh, Scotland Abstract: Visual storytelling aims to generate compelling narratives from image sequences. Existing models often focus on enhancing the representation of the image sequence, e.g., with external knowledge sources or advanced graph structures. Despite recent progress, the stories are often repetitive, illogical, and lacking in detail. To mitigate these issues, we present a novel framework which integrates visual representations with pretrained language models and planning. Our model translates the image sequence into a visual prefix, a sequence of continuous embeddings which language models can interpret. It also leverages a sequence of question-answer pairs as a blueprint plan for selecting salient visual concepts and determining how they should be assembled into a narrative. Automatic and human evaluation on the VIST benchmark (Huang et al., 2016) demonstrates that blueprint-based models generate stories that are more coherent, interesting, and natural compared to competitive baselines and state-of-the-art systems. Bio: Professor Mirella Lapata is a faculty member in the School of Informatics at the University of Edinburgh. She is affiliated with the Institute for Communicating and Collaborative Systems and the Edinburgh Natural Language Processing Group. Her research centers on computational models for the representation, extraction, and generation of semantic information from structured and unstructured data. This encompasses various modalities, including text, images, video, and large-scale knowledge bases. Prof. Lapata has contributed to diverse applied Natural Language Processing (NLP) tasks, such as semantic parsing, semantic role labeling, discourse coherence, summarization, text simplification, concept-to-text generation, and question answering. Using primarily probabilistic generative models, she has employed computational models to investigate aspects of human cognition, including learning concepts, judging similarity, forming perceptual representations, and learning word meanings. The overarching objective of her research is to empower computers to comprehend requests, execute actions based on them, process and aggregate large datasets, and convey information derived from them. Central to these endeavors are models designed for extracting and representing meaning from natural language text, internally storing meanings, and leveraging stored meanings to deduce further consequences. ++ Organizing committee ++ Ricardo Campos (INESC TEC; University of Beira Interior, Covilh?, Portugal) Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ Jo?o Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Concei??o Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ ?lvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Universit? de La Rochelle) Ant?nio Horta Branco (University of Lisbon) Anubhav Jangra (IIT Patna, Japan) Arian Pasquali (Faktion AI) Bart Gajderowicz (University of Toronto) Bego?a Altuna (Universidad del Pa?s Vasco) Behrooz Mansouri (Rochester Institute of Technology) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Brucce dos Santos (Computational Intelligence Laboratory (LABIC) - ICMC/USP) David Semedo (Universidade NOVA de Lisboa) Deya Banisakher (Florida International University) Dhruv Gupta (Norwegian University of Science and Technology) Evelin Amorim (INESC TEC) Henrique Lopes Cardoso (LIACC & University of Porto) Ignatius Ezeani (Lancaster University) Irina Rabaev (Shamoon College of Engineering) Ismail Altingovde (Middle East Technical University) Jo?o Paulo Cordeiro (INESC TEC & University of Beira Interior) Liana Ermakova (HCTI, Universit? de Bretagne Occidentale) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Luis Filipe Cunha (INESC TEC & University of Minho) Marc Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Mariana Caravanti (Computational Intelligence Laboratory (LABIC) - ICMC/USP) Moreno La Quatra (Kore University of Enna) Natalia Vanetik (Sami Shamoon College of Engineering) Nuno Guimar?es (INESC TEC & University of Porto) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Purifica??o Silvano (CLUP & University of Porto) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) S?rgio Nunes (INESC TEC & University of Porto) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Valentina Bartalesi (ISTI-CNR, Italy) ++ Contacts ++ Website: https://text2story24.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2024 at easychair.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Sat Dec 16 00:42:52 2023 From: kc.w at cityu.edu.hk (Prof. WONG Ka Chun) Date: Sat, 16 Dec 2023 05:42:52 +0000 Subject: Connectionists: PostDoc recruitment in Computational Intelligence / Evolutionary Computation Message-ID: Dear All, I am writing for a PostDoc recruitment in Computational Intelligence / Evolutionary Computation at City University of Hong Kong. A suitable candidate should have ALL of the following good (not necessarily excellent) qualifications: Good Publication Records (e.g. 1 journal paper per year) Good Technical Skills (e.g. GPA > 3 out of 4) Good Judgement Ability (e.g. Job Prioritization) Good English Writing (e.g. TOEFL and IELTS) Good Adaptation to Different Environments Good Ability to Work Independently The candidate is also expected to deliver independent research works published on good journals (e.g. IEEE TNNLS, PAMI, TEVC, CYB, and others) for his/her career advancements in the future. Interested candidates should contact Prof. Ka-Chun WONG directly at: kc.w at cityu.edu.hk His research group works have been published on Nature Communications, Advanced Science, Nucleic Acids Research, iScience (Cell Press), Briefings in Bioinformatics, Bioinformatics, IEEE/ACM Transactions, and others. Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong PhD (CS, Toronto) Associate Professor Computer Science City University of Hong Kong 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 tobi at ini.uzh.ch Sat Dec 16 12:40:54 2023 From: tobi at ini.uzh.ch (Tobi Delbruck (INI)) Date: Sat, 16 Dec 2023 09:40:54 -0800 Subject: Connectionists: 2023 Misha Mahowald Prizes for Neuromorphic Engineering Message-ID: <85a06943-307b-41ee-98e7-77ddab645f55@ini.uzh.ch> The Juries of the Misha Mahowald Prizes for Neuromorphic Engineering have announced the following awards on the Prize website at 1200 15 December 2023 UTC. (see https://www.mahowaldprize.org/). Details the 2023 awards are provided at https://www.mahowaldprize.org/prize-awards/prizes-2023 Recognition of Lifetime Contribution to Neuromorphic Engineering: This special award is conferred on Prof. Carver Mead, Gordon and Betty Moore Professor Emeritus of Engineering and Applied Science at the California Institute of Technology. Jury citation: "Carver Mead established the field of Neuromorphic Electronic Engineering. His creativity and vision has inspired a generation of scientists, technologists, and entrepreneurs? to emulate brain-like information processing in electronic systems." Misha Mahowald Prize: The jury awarded the 2023 award to a team from the Sandia National Laboratories for the project "Neuromorphic Advantage for Discrete-Time Markov Chain Random Walks" Jury citation: "The Sandia team demonstrated that neuromorphic hardware can efficiently implement Monte Carlo methods for solving differential equations.? Monte Carlo methods are used for solving a wide range of problems including those in heat transfer, medical imaging and finance." Tobi Delbruck (on behalf of the MMPs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From federico.stella at donders.ru.nl Sun Dec 17 10:43:58 2023 From: federico.stella at donders.ru.nl (Stella, F. (Federico)) Date: Sun, 17 Dec 2023 15:43:58 +0000 Subject: Connectionists: Fully Funded PhD Position in Theoretical Neuroscience at Donders Institute in the group of Federico Stella Message-ID: <42FCDD13-294E-4BB1-B5FF-40AD4CEA9FB3@donders.ru.nl> A fully-funded 4-year PhD position in the group of Federico Stella at Donders Institute in Nijmegen, NL is now available. I have recently started my own group at Radboud University and in the context of my research in theoretical neuroscience I am currently looking for a PhD student starting as early as possible in 2024. The project will focus on the computational investigation of the role of neural reactivations in memory. Since their discovery neural reactivations happening during sleep have emerged as an exceptional tool to investigate the process of memory formation in the brain. This phenomenon has been mostly associated with the hippocampus, an area known for its role in the processing of new memories and their initial storage. Continuous advancements in data acquisition techniques are giving us an unprecedented access to the activity of large-scale networks during sleep, in the hippocampus and in other cortical regions. At the same time, our theoretical understanding of the computations underlying neural reactivations and more in general memory representations, has only began to take shape. Combining mathematical modeling of neural networks and analysis of existing dataset, we will address some key aspects of this phenomenon such as: 1) The role of different sleep phases in regulating the reactivation process and in modulating the evolution of a memory trace. 2) The relationship of hippocampal reactivations to the process of (semantic) learning and knowledge generalization. 3) The relevance of reactivation statistical properties for learning in cortico-hippocampal networks. The successful candidate will carry out their studies at the Donders Institute of Radboud University in Nijmegen. The project will expose the student to a highly interdisciplinary context, rich in experimental and theoretical expertise. Moreover the project will take place in the context of a wider range of scientific collaborations already established in the lab. The ideal candidate has a strong interest in neuroscience; a background in theoretical physics, math or similar quantitative disciplines (familiarity with statistical mechanics and/or dynamical systems is very welcomed); and some degree of computational and programming skills (ideally, knowledge of Matlab and/or Python) The ideal candidate must also be able to carry out their work in an independent, and highly collaborative manner. The starting date is flexible but should be in the first part of 2024. Interested candidates should submit their application to Federico Stella (federico.stella at donders.ru.nl), before 14th of January including a CV and a research interest statement. Interviews with short-listed candidates will be held online later in January 2024. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Sun Dec 17 06:34:22 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sun, 17 Dec 2023 11:34:22 +0000 Subject: Connectionists: ACM UMAP 2024 - 3rd Call for Full and Short Papers Message-ID: * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://www.um.org/umap2024/call-for-full-and-short-papers/ =============== ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. The proceedings, published by ACM, will be part of the ACM Digital Library. The theme of UMAP 2024 is ?Collaboration and Cooperation for the Greater Good?. Specifically, we welcome submissions that highlight the impact that working together and synergy (such as between academia, industry, influential policy making bodies, committees and communities) can have on solving the world?s biggest problems; the focus is on investigations that capture how user modeling, personalization, and adaptation of (intelligent) systems may influence user behavior, trustful processes and whether new models are required, for building sustainable and inclusive services and solutions that can address critical challenges of our world. While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. As always, contributions from academia, industry, and other organizations discussing open challenges or novel research approaches are expected to be supported by rigorous evidence appropriate to claims (e.g., user study, system evaluation, computational analysis). Important Dates - Paper Abstract Submission: January 22, 2024 (mandatory) - Paper Submission: January 29, 2024 - Notification: March 28, 2024 - Camera-ready Submission: May 9, 2024 - Conference: July 1 ? 4, 2024 The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth). Conference Topics We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and domains. Detailed descriptions and the suggested topics for each track will be available shortly in the extended version of the CFP on this page. ** Personalized Recommender Systems ** This track invites works from researchers and practitioners on recommender systems. In addition to mature research works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems. ** Knowledge Graphs, Semantics, Social and Adaptive Web ** This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and social web. ** Intelligent User Interfaces ** This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. ** Personalizing Learning Experiences through User Modeling ** This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning. ** Fairness, Transparency, Accountability, and Privacy ** Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users, providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users? privacy, beneficial to society, and accountable for their impacts. ** Personalization for Persuasive and Behavior Change Systems ** This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies. ** Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction ** This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms. ** Research Methods and Reproducibility** This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works. ** Submission and Review Process** For UMAP 2024 we encourage two kinds of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the ACM new single-column format: * Long papers should report on substantial contributions of lasting value. The maximum length is 14 pages (excluding references, which do not count towards the limit). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. * Short papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. The maximum length is 7 pages (excluding references, which do not count towards the limit). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session. UMAP uses a double-blind review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. For instance, citations to the authors? prior work should be in the third person. Submissions not abiding by anonymity requirements will be desk rejected. In addition, UMAP 2024 will introduce a new ?Raise Your Voice? stage during evaluation, offering a small window to authors to optionally discuss the initial decision of their submission, enhancing the transparency and quality of the reviewing process. Additional review criteria and submission link will be available shortly on the conference website: https://www.um.org/umap2024. UMAP has a no dual submission policy, which is why full and short paper submissions should not be currently under review at another publication venue. Further, UMAP operates under the ACM Conference Code of Conduct. Program Chairs * Panagiotis Germanakos, SAP SE, Germany * Elvira Popescu, University of Craiova, Romania Contact information: umap2024-program at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Mon Dec 18 07:33:55 2023 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 18 Dec 2023 13:33:55 +0100 Subject: Connectionists: Transatlantic Behavioural Neuroscience Summer School, Sept 9-20th 2024, Wojciechy, Poland Message-ID: Hello! We are super happy to announce the third (!) edition of our *Transatlantic Behavioural Summer School*! This time we will come back to Poland - with new ideas (but the same enthusiasm). During our school you will learn how to deliver stimuli or modify the environment in which the animal is embedded with *Arduino-based devices and Bonsai code*; you will design and *3D-print cases* and holders for your instruments. And then you will apply cutting-edge tools:* Deeplabcut, keypoint-MoSeq, and CEBRA* ? to extract as much information as possible from your data. But that?s not everything. At TBNSS you will *listen to fascinating lectures and interact with speakers*, who explored bold ideas and made their unique career paths. You will look at what behavior is through many lenses. Most importantly though, *you will meet people with similar interests and goals*. And you may become a part of our global Open Lab community, and help us to spread the knowledge further! More information and the application form can be found here - https://nenckiopenlab.org/tbnss2024/. *The deadline for application is Feb 15th, the fee is EUR 900, but we have secured funding for fee waivers and travel grants if needed.* With best wishes, TBNSS Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Tue Dec 19 00:30:00 2023 From: jonizhong at msn.com (Joni Zhong) Date: Tue, 19 Dec 2023 05:30:00 +0000 Subject: Connectionists: [Meetings][CFP] WCCI 24 Special Session: Machine Learning in Rehabilitation Message-ID: WCCI 2024 Special Session: Machine Learning in Rehabilitation Venue: Yokohama, Japan Important Dates: 15 January 2024:Paper Submission Deadline 15 March 2024: Paper Acceptance Notification 1 May 2024: Final Paper Submission & Early Registration Deadline 30 June - 5 July 2024: IEEE WCCI 2024 Rehabilitation, denoting the restoration of physical and cognitive functions following injury or illness, stands to derive substantial benefit from the integration of machine learning (ML) and big data. Given its longitudinal nature and the involvement of a multidisciplinary team, ML advancements present significant potential for applications in rehabilitation. Specifically, with the evolution of deep learning and sensing technologies, ML can proficiently analyze and interpret body movements, speech patterns, and cognitive activities, thereby providing comprehensive assessments in rehabilitation settings. In the close interplay of physiological and psychological dimensions within rehabilitation, ML technologies also emerge as pivotal, such as robotic exoskeletons, interactive robots, and extended reality (xR) systems, capable of adapting in real-time based on a patient's progress, thereby providing a dynamic and responsive rehabilitation experience. Accurate measurement facilitated by ML not only informs healthcare specialists of physical progress but also instills motivation in patients to actively engage in their rehabilitation journey. This special session in WCCI 2024 welcomes discussions and explorations of the multifaceted applications and future developments of ML in rehabilitation and healthcare applications. Please submit your contribution via https://edas.info/newPaper.php?c=31628&track=121739 and choose the special session ?Machine Learning in Rehabilitation?. Main topics but not limited to: ML-Driven Personalized & Optimizing Rehabilitation Adaptive Technology Integration Human-robot Interaction Human-computer Interaction Data-driven Clinical Decision-Making Predictive Analytics for Progress Monitoring Patient Monitoring and Feedback Monitoring Health Indicators Virtual Assistants and Companion Robots Human Factors and Ergonomics Gamification for Engagement Intelligent Tutoring Systems Serious Game Organizers: Junpei Zhong, The Hong Kong Polytechnic University, Hong Kong Chu Kiong Loo, Universiti Malaya, Malaysia Sao Mai Nguyen, ENSTA Paris, France Sum Yuet Joyce Lau, The Hong Kong Polytechnic University, Hong Kong Corresponding Email: joni.zhong at polyu.edu.hk -------------- next part -------------- An HTML attachment was scrubbed... URL: From adamsorrenti8 at gmail.com Mon Dec 18 12:35:40 2023 From: adamsorrenti8 at gmail.com (Adam Sorrenti) Date: Mon, 18 Dec 2023 12:35:40 -0500 Subject: Connectionists: QSciTech-Quantum BC-CMC Virtual Workshop 2024: Quantum Machine Learning Message-ID: * Participants must be physically present in Canada during the full period of the workshop to access IBM?s quantum computers. See registration page for full details: https://www.cmc.ca/qscitech-quantumbc-virtual-workshop-2024-quantum-machine-learning/ ========================================================= Quantum computing has the potential to solve problems beyond the capabilities of conventional supercomputers, and could revolutionize the advancement of several fields, including materials science, biochemistry, finance, logistics, and artificial intelligence. It is thus essential to develop concrete expertise to take advantage of the new possibilities that will arise from quantum computing. Do not miss this QSciTech-QuantumBC-CMC virtual workshop, which will allow you to develop your expertise tangibly while running calculations on really powerful quantum computers! See below for all the details. Important Dates: Online Workshop: January 22, 24, 29, 31, and February 5 and 7, 2024 Registration Deadline: January 15, 2024 Target Attendees The target audience for this workshop are graduate students, postdoctoral fellows, and undergraduate students involved in research along with other students, academics, and industry members with relevant background. Important Notes: You must register to the workshop using your institutional email address. This institutional email address will be required to login and access IBM quantum computers. You must have an IBMid before registering. Acknowledgement and compliance with the IBM Quantum End User Agreement is a requirement for joining this course, including compliance with related export restrictions. Registration to the workshop does not guarantee access to IBM?s quantum computers. Trainees are expected to participate in all scheduled activities (9 hours per week) and be involved in team projects (approximately 5 hours per week). A minimal attendance of 90% is required to receive the participation certificate. For students, participation in the poster presentation is mandatory. Schedule When: January 22, 24, 29, 31, and February 5, and 7, 2024 Start Time: 8 am Pacific/11 am Eastern End Time: 2:30 pm Pacific/5:30 pm Eastern The workshop will run 4.5 hours per day in three 1.5-hour sessions. It will emphasize teamwork and problem-based learning, focusing on quantum machine learning. Included are student poster presentations, awards and prizes. Attendee Group, Price Student in Canada*, $100 Subscriber and postdoctoral fellow in Canada*, $200 General*, $400 From Samuel.Neymotin at nki.rfmh.org Mon Dec 18 14:34:19 2023 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Mon, 18 Dec 2023 19:34:19 +0000 Subject: Connectionists: Computational neuroscientist positions at Nathan Kline Institute Message-ID: Several postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org) to work on computational neuroscience research funded by NIH and DoD grants. NKI offers the scientists a highly interdisciplinary environment spanning research at cutting-edge electrophysiology labs, high-performance computing for computational neuroscience, and human fMRI behavioral experiments and data analysis. The funded grants at NKI involve collaborations with leading research institutions including Columbia, The Feinstein Institutes for Medical Research, University of Texas, SUNY Downstate, University of Tennessee, Carnegie Mellon University, Brown, and Stanford. Our NIH-funded projects rely on recently developed, detailed biophysical circuit models of the auditory system. Postdocs will use the models to investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected brain areas. Postdocs will build upon models constrained by electrophysiology data and use the models to devise neuromodulation strategies for inducing/suppressing circuit dynamics, testable in vivo. NKI also has NIMH funding to investigate the origin of electrophysiological biomarkers observed in the auditory system of animal models of schizophrenia (mismatch negativity, altered oscillatory patterns), and using modeling to predict circuit-level origins and treatments. An additional NIH-funded BRAIN award uses modeling of the auditory system to optimize new DISC electrodes developed by our colleagues at UTexas, which could dramatically improve brain computer interfaces. Our DoD projects involve developing computational models of the hippocampal and entorhinal cortex circuits used in spatial navigation, higher level decision making circuits including prefrontal cortex, and integrating these circuit models with agents learning to solve spatial navigation tasks using neurobiologically-inspired learning rules. Postdocs will also integrate these models with basal ganglia models that weigh evidence/context for improved decision-making (developed by colleagues at CMU). Postdocs will also work with applied mathematicians and data scientists at University of Tennessee to use topological data analysis to improve understanding the structure and representations of neuronal circuits used in spatial reasoning, facilitated through detailed circuit modeling. Postdocs will also have the opportunity to collaborate with Army Research Lab computational neuroscientists and mathematicians, with the ultimate aim of using the models developed to improve human-agent teaming. Applicants should have a strong background in: multiscale neural modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, software development, writing/presenting research, and applying for grants. To apply for positions, email a CV and cover letter to Sam Neymotin (samuel.neymotin at nki.rfmh.org). The position requires presence at NKI (Orangeburg, New York), with part-time telecommuting allowed. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From agocse109 at gmail.com Mon Dec 18 12:26:04 2023 From: agocse109 at gmail.com (Alexander Ororbia II) Date: Mon, 18 Dec 2023 12:26:04 -0500 Subject: Connectionists: Comprehensive Survey on Neurobiologically-Inspired Credit Assignment Message-ID: Dear fellow connectionists, A recent survey has come out of my lab reviewing neurobiologically-inspired (or brain-inspired) credit assignment in artificial neural networks over the past several decades: https://osf.io/preprints/osf/xukqf (OSF Link) -- this is a bit more up-to-date (as of 12/17/2023) than the arxiv link at the moment (including a few extra references, such as to Hanson's stochastic delta rule) https://arxiv.org/abs/2312.09257 (arXiv Link) The hope is that this work will not only inspire more interest in brain-inspired computing and biologically-inspired credit assignment, an exciting domain of research that lies at the intersection of cognitive science, computational neuroscience, and machine learning. Please disseminate to any graduate students or post-docs interested in working in the area as this might be a useful spot for gathering as much of the work into one place and under one possible taxonomy. *Note*: I intend for the linked preprint versions to be "breathing" long-form versions of this effort, so if I missed your (historical) work, please message me the reference (and possibly where you think it fits in the taxonomy) and I will update the survey to cite/include it; I already have few updates to make for the arXiv version as it has lagged a tiny bit behind the OSF version! @Jurgen - I made sure I didn't miss your classics =) [of course, if I still missed something, I'll add it accordingly] Best regards, -Alex -- Dr. Alexander G. Ororbia II Director, Neural Adaptive Computing Laboratory Assistant Professor, Department of Computer Science Affiliate Professor, Department of Psychology Rochester Institute of Technology, Rochester, NY, USA Google Scholar: https://scholar.google.com/citations?hl=en&user=IAFscrMAAAAJ&view_op=list_works&sortby=pubdate NAC Laboratory Page: https://www.cs.rit.edu/~ago/nac_lab.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.zock at lis-lab.fr Mon Dec 18 21:47:00 2023 From: michael.zock at lis-lab.fr (Michael Zock) Date: Tue, 19 Dec 2023 03:47:00 +0100 Subject: Connectionists: cfp for CogALex-VIII (Cognitive Aspects of the Lexicon), a workshop co-located with LREC-COLING 2024 Message-ID: <7989b792-040a-0c92-f4db-e1b59ec9ec1d@lis-lab.fr> *The 8th Workshop on Cognitive Aspects of the Lexicon (CogALex-**VIII**)* ** co-located with LREC-COLING 2024 https://lrec-coling-2024.org/about-lrec-coling/ location: Torino, Italy date of the workshop: May 20, 2024 website : https://sites.google.com/view/cogalex-viii-2024 submission: _https://softconf.com/lrec-coling2024/cogalex2024/_ 1. Goal The way we look at the lexicon has changed dramatically over the last few decades. While in the past being considered as an appendix to grammar, the lexicon has now moved to the center stage. Indeed, there is hardly any task in NLP that can be conducted without it. Also, many new proposals have emerged during the last few years. Living in a fast-moving world, it is hard for anyone to stay on top of the wave. Hence the reason for organizing an event like this. The *goal* of this workshop is to provide builders and users of lexical resources (researchers in NLP, psychologists, computational lexicographers) a forum to share their knowledge and needs concerning the construction, organization, and use of a lexicon by people (lexical access) and machines (NLP, IR, data mining). Like in the past, we invite researchers to address unsolved problems concerning the lexicon, by considering this time, however, also Large Language Models (LLMs). More precisely, we would like to explore their potential for building and using lexical resources as well as their ability to deal with the cognitive aspects of the lexicon. We solicit contributions including, but not limited to, the topics listed below, topics, which can be considered from any of the following points of view: * traditional-, computational- or corpus linguistics, * neuro- or psycholinguistics (tip of the tongue problem, word associations), * mathematics (vector-based approaches, graph theory, small-world problems), etc. 2.Possible Topics * The potential of Large Language Models for the creation and use of lexical resources; * Organization, i.e., structure of the lexicon; * The meaning of words and how to reveal it; * Analysis of the conceptual input given by a dictionary user; * Methods for crafting dictionaries or indexes; * Creation of new types of dictionaries; * Dictionary access (navigation and search strategies), interface issues For more details see: https://sites.google.com/view/cogalex-viii-2024 3.Important dates: * Submission deadline: February 23, 2024 * Date of notification: March 20, 2024 * Camera-ready deadline: March 29, 2024 * COGALEX workshop: May 20, 2024 1.4.Submissions Two types of submissions are invited: * Full papers: ?should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research. * Short papers: ?may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc. Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication. Submissions must be anonymous, electronic, and in PDF format. They must be made via SOFTCONF: _ https://softconf.com/lrec-coling2024/cogalex2024/_. To create your document, please follow the *guidelines* defined by COLING using their style sheets (https://lrec-coling-2024.org/authors-kit/). 5.Invited Speaker Gilles-Maurice de Schryver(Ghent University, Belgium,https://tshwanedje.com/members/gmds/cv.html Tentativetitle: ?Fine-tuning LLMs for lexicography? 6.Workshop Organizers * Michael Zock (https://pageperso.lis-lab.fr/~michael.zock/) CNRS, LIS-lab, Aix-Marseille University, Marseille, France * Emmanuele Chersoni (https://research.polyu.edu.hk/en/persons/emmanuele-chersoni) Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University, Hong Kong, China * Yu-Yin Hsu**(https://research.polyu.edu.hk/en/persons/yu-yin-hsu) Department of Chinese and Bilingual Studies,? Hong Kong Polytechnic University, Hong Kong, China * Simon de Deyne (https://simondedeyne.me) University of Melbourne School of Psychological Sciences (University of Adelaide) -- Michael ZOCK Emeritus Research Director CNRS LIS UMR 7020 (Group TALEP) Aix Marseille Universit? 163 avenue de Luminy - case 901 13288 Marseille / France Mail: michael.zock at lis-lab.fr Tel.:??? +33 (0)6 51.70.97.22 Secr.:? +33 (0)4.86.09.04.60 http://pageperso.lif.univ-mrs.fr/~michael.zock/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruce.graham at stir.ac.uk Tue Dec 19 05:49:06 2023 From: bruce.graham at stir.ac.uk (Bruce Graham) Date: Tue, 19 Dec 2023 10:49:06 +0000 Subject: Connectionists: Book: Principles of Computational Modelling in Neuroscience Message-ID: We are very pleased to announce our new book: Principles of Computational Modelling in Neuroscience 2nd edition, Cambridge University Press, October 2023 Hardback, paperback and ebook. URL: www.cambridge.org/highereducation/isbn/9781108716420 David Sterratt, University of Edinburgh U.K. Bruce Graham, University of Stirling U.K. Andrew Gillies, Psymetrix Limited Gaute Einevoll, Norwegian University of Life Sciences (NMBU) David Willshaw, University of Edinburgh U.K. Taking a step-by-step approach to modelling neurons and neuralcircuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Key features: Presents all models within the context of biological scenarios to connect computational models with real neurobiology. Highlights and explains mathematical details in boxes alongside the main text, so readers can follow the discussion easily and clearly. Shows how to choose an appropriate model structure and to set its parameter values. Demonstrates how to translate a mathematical formulation of a model into a simulation. 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. ________________________________ 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 damien.DEPANNEMAECKER at univ-amu.fr Tue Dec 19 03:02:03 2023 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Tue, 19 Dec 2023 08:02:03 +0000 Subject: Connectionists: =?iso-8859-1?q?M2_internship_on_bifurcation_detec?= =?iso-8859-1?q?tion_at_Institut_de_Neuroscience_des_Syst=E8mes_=28INS=29_?= =?iso-8859-1?q?Marseille=2C_France=2E?= In-Reply-To: <764793b4cc9b4aefbff661875a97f3ad@univ-amu.fr> References: <764793b4cc9b4aefbff661875a97f3ad@univ-amu.fr> Message-ID: Dear all, Could you please forward the announcement below to any interested and motivated students? Thanks a lot Damien Depannemaecker M2 internship on bifurcation detection Summary: For causal estimation in brain pathological conditions, models offer crucial insights into neurophysiological mechanisms. Model-based inference involves constructing a statistical or mechanistic model that captures the essential features of the data-generating process. In this context, simulation-based inference (SBI) using deep neural networks provides an invertible map between parameters and data features. Therefore, there is a need to automatically extract the low-dimensional informative data features, to train the neural networks, the so-called Normalizing-Flows. In this project, our goal is to utilize machine learning algorithms to provide input into the SBI pipeline. The data for this project will be, simulated data from models at different scales and corresponding electrophysiological data such as patch-clamp and intracranial stereoelectroencephalography (SEEG) recordings. The objective is to classify seizure onset and bifurcation patterns from the complex biophysical models. The trainee will benefit from the support of the various skills available within our teams. When: The starting date is flexible in the first semester of 2024, for 5 months Where: Institut de Neuroscience des Syst?mes (INS) Th?oretical Neuroscience Group (TNG) Facult? de Med?cine, Aix-Marseille Universit?, 27, Boulevard Jean Moulin, 13005 Marseille, France How to Apply: Send a CV, motivation letter, and two letters of recommendation to: meysam.hashemi at univ-amu.fr damien.depannemaecker at univ-amu.fr marmaduke.woodman at univ-amu.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Tue Dec 19 08:46:06 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Tue, 19 Dec 2023 13:46:06 +0000 Subject: Connectionists: [ACM IUI 2024] 2nd Call for Doctoral Consortium Submissions Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://iui.acm.org/2024/call_for_doctoral_consortium.html ** ACM IUI 2024 - Call for Doctoral Consortium Submissions** 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ ** Overview ** The IUI 2024 Doctoral Consortium (DC) provides students an opportunity to present and receive feedback about their research in an interdisciplinary workshop, under the guidance of a panel of mentors selected from senior researchers in the field. We invite students who feel they would benefit from this kind of feedback?the ideal participant is a doctoral student about two years from finishing their Ph.D. We will also consider advanced Master's students and junior Ph.D. students provided their research plan is sufficiently developed to benefit from the discussion at the DC. Submissions will be selected by the DC chairs and potentially other reviewers. The strongest candidates will be those who have a clear topic and research approach and who have made some progress, but are not too far along in their research so that they can still reshape their research topic or approach. The final version of accepted Doctoral Consortium submissions will be included in the main conference proceedings published in the ACM Digital Library. The Doctoral Consortium workshop will take place as a separate session in parallel to workshops and tutorials, and DC participants will have the opportunity to present their research in the poster session during the main program. Complimentary/reduced conference registration will be available for students. Doctoral Consortium participants will also be given high priority when applying for the student travel awards, under the precondition that they agree to assist as student volunteers in the organization of the event. ** Objectives ** The objectives of the Doctoral Consortium are to: * Serve as a supportive setting to provide/receive feedback on students' current doctoral research as well as guidance on future research directions; * Offer each student comments and fresh perspectives on their work from researchers and students outside of their own institution; * Promote the development of a supportive community of scholars and a spirit of collaborative research; * Contribute to the conference goals through interaction with other researchers and conference events. ** Submission Instructions ** If you are unsure about eligibility or submission requirements, please do not hesitate to email us at dc2024 at iui.acm.org! To apply for the Doctoral Consortium, two steps are required: Please submit a single PDF containing your technical submission (for details see below) via PCS by January 9. In addition, your doctoral or thesis advisor should send a separate, brief letter of recommendation to the DC chairs at dc2024 at iui.acm.org by January 12. For the technical submission, please upload a single PDF containing the following four items to https://new.precisionconference.com/~sigchi by January 9, 2024: 1. Cover Letter (1 page max): Please include your full name, contact details, affiliation, web page, expected graduation date and target degree, the name of your thesis advisor, gender (optional), home country (optional), and whether you are a member of an underrepresented minority group (optional). 1. DC Submission (4 pages max including references) A document describing your thesis/dissertation topic and research plan and your progress thus far. Key points the submission should include: motivation for your dissertation research goal and research questions related work that frames your research methods/approach to reach the goal results, if any next steps for your research 1. Questions to mentors and co-students (1 page max): List the main questions and discussion points regarding your thesis/dissertation topic for which you expect to receive feedback from the Doctoral Consortium mentors/participants. 1. Your CV (3 pages max) Provide an academic curriculum vitae (CV) document. ** How to format and submit ** Prepare your submission for review in a single column format, using the latest templates: Word Submission Template , or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. All materials must be submitted electronically to PCS 2.0 https://new.precisionconference.com/~sigchi by the Doctoral Consortium deadline. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "Doctoral Consortium", respectively, and press "Go". ** Important dates (AoE) ** * DC Contributions Submission Due: Jan 9, 2024 Consortium Chairs (dc2024 at iui.acm.org) * Paul Taele, Texas A&M University, USA * Jurgen Ziegler, University Duisburg-Essen, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Tue Dec 19 08:48:07 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Tue, 19 Dec 2023 13:48:07 +0000 Subject: Connectionists: [ACM IUI 2024] 2nd Call for Posters and Demos Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://iui.acm.org/2024/call_for_posters_demos.html **ACM IUI 2024 - Call for Posters and Demos** 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ ACM Conference on Intelligent User Interfaces (ACM IUI) 2024 is the 29th annual premiere venue, where researchers and practitioners will meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques, and systems. We welcome contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and machines, by leveraging both HCI approaches and state-of-the-art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contributions from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. **Posters** Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 7 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required but is recommended. Accepted poster papers will appear in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person. **Demos** The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Authors further need to submit a video (max. 5 mins) along with their demo paper to showcase their work. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person. Authors who submitted a long or short research paper are welcome to also propose a demo of their work to exemplify their work at the conference. **Submission Instructions** Up to 4 (Demo) or 7 (Poster) page paper (references do not count towards the page limit). Demo and poster submissions do not need to be anonymized. Submissions should follow the ACM Master Article Templates in a single column format. * We will adopt the ACM TAPS Workflow. * Prepare your submission for review in a single column format, using the latest templates: Word Submission Template , or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: https://dl.acm.org/ccs/ccs.cfm A video (up to 5 mins) is required for demo submissions. The video should showcase the system that will be demonstrated during the conference. Please follow the SIGCHI Technical Requirements and Guidelines for Videos. Please submit your demos and posters at http://new.precisionconference.com/~sigchi under the IUI 2024 Demos and Posters track. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "IUI 2024 Demos and Poster", respectively, and press "Go". ** Important dates (AoE) ** * Submission - January 9, 2024 * Notification to authors - January 30, 2024 * Camera-ready - February 8, 2024 Poster and demo chairs (posters2024 at iui.acm.org) * Marko Tkalcic, University of Primorska * Hanna Hauptmann, Utrecht University -------------- next part -------------- An HTML attachment was scrubbed... URL: From Michael.Fauth at phys.uni-goettingen.de Tue Dec 19 10:24:11 2023 From: Michael.Fauth at phys.uni-goettingen.de (Fauth, Michael) Date: Tue, 19 Dec 2023 15:24:11 +0000 Subject: Connectionists: =?iso-8859-1?q?PhD_position_on_reservoirs_with_dy?= =?iso-8859-1?q?namic_synapses_=28G=F6ttingen=2C_Germany=29?= Message-ID: <983b06a65ba141e9a9efe2f2a85f3214@phys.uni-goettingen.de> Apologies for cross-posting The Institute of Biophysics at the Georg-August-Universit?t G?ttingen, Germany, is looking to fill a Ph.D. position (German Salary Scale TV-L E13, 75% (29.85 weekly hours) for 3 years). This post is designed to foster young researchers and give the successful applicant the opportunity to pursue a doctoral degree. The position should be filled by March 1rst 2024 or soon thereafter. The positions will be affiliated with the groups of Dr. Michael Fauth and Prof. Florentin W?rg?tter. The Project: Based on mathematical modeling and analysis, we aim to understand how the dynamics of synapses (e.g., synaptic plasticity) will not only shape neuronal activities in recurrent neuronal networks, but also carry out computation. We propose that networks optimally exploit this computational power through continuous rewiring of synapses -- that is creating synapses with different properties and stabilizing synapses with the right dynamics at the right place. We will test this using the abstract framework of reservoir/echo state networks and envision applications both in neuroscience and machine learning. Your Profile: Suitable candidates should have - a Master degree or Diplom in physics, mathematics, computer science or comparable subjects, - excellent mathematical and coding skills (e.g., Python, C++), in particular: -- solid knowledge about linear algebra, differential equations and dynamical systems as well as their numerical simulation, -- basic knowledge in machine learning and optimization as well as computational neuroscience, - good skills in scientific communication (including proficiency in English), - the ability to self-organize and independently solve problems, - and the motivation to perform leading-edge research in a lively, multidisciplinary research environment Optimally, you also have first experiences with - echo state networks and reservoir computing - stochastic processes - information theory - using GPUs for fast computing The G?ttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) G?ttingen. The PhD candidate should enroll into the G?ttingen Graduate School for Neuroscience, Biophysics and Molecular Bioscience to profit from their excellent training and supervision infrastructure. The University of G?ttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae, copies of your certificates and contact information of at least two references until 21th of January, 2024 to Dr. Michael Fauth, e-mail: mfauth[at]gwdg.de. (Online-)Interviews will likely be held on February 5-7th. We will ask the candidates to give a 10min talk about their previous work (e.g. thesis project). If you have any questions, please contact Dr Michael Fauth via the above e-mail. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo From udnn.ht at tu-dortmund.de Tue Dec 19 10:08:20 2023 From: udnn.ht at tu-dortmund.de (HT, UDNN) Date: Tue, 19 Dec 2023 15:08:20 +0000 Subject: Connectionists: Call for Participation: Workshop on Epistemological Issues of Machine Learning in Science Message-ID: The Emmy Noether Group UDNN: Scientific Understanding and Deep Neural Networks (https://udnn.tu-dortmund.de/) invites participation in a two day workshop that marks the project?s kick-off. Workshop on Epistemological Issues of Machine Learning in Science 27.?28.02.2024 Chaudoire Pavillon, TU Dortmund, Germany Registration: udnn.fk14 at tu-dortmund.de Website: https://udnn.tu-dortmund.de/index.php/activities/ws-epi-issues/ Description: With impressive advances in Machine Learning (ML) and particularly Deep Learning, Artificial Intelligence is currently taking science by storm. This workshop brings together top scientists and philosophers working on fundamental issues connected to the use of Machine Learning in science. The workshop marks the launch of the DFG-funded Emmy Noether Group UDNN: Scientific Understanding and Deep Neural Networks, and is co-organized with the Lamarr Institute for Machine Learning and Artificial Intelligence and co-funded by the Department for Humanities and Theology at TU Dortmund University. Topics include, but are not restricted to: * The relation between prediction and discovery on the one hand, and explanation and understanding on the other, in fields of science that heavily rely on ML methods * The key issues in identifying genuine discoveries and stable predictions by ML systems * Core conceptions of ?explanation? involved in the field of eXplainable AI (XAI), and their relation to philosophical theories of understanding and explanation * Present limitations associated with ML?s predictive power and what may be needed to overcome them * The connection between ML and traditional scientific means for prediction and discovery, such as theories, models, and experiments * Our present understanding of ML itself and its limitations Speakers * Life Sciences J?rgen Bajorath (University of Bonn) Axel Mosig (Ruhr University Bochum) * Machine Learning Theory M. Klopotek (University of Stuttgart) Marie-Jeanne Lesot (Sorbonne Universit? Paris) David Watson (King?s College London) * Philosophy Kathleen A. Creel (Northeastern University Boston, MA) Brigitte Falkenburg (TU Dortmund) Konstantin Genin (University of T?bingen) Lena K?stner (University of Bayreuth) Henk de Regt (Radbout University Nijmegen) Eva Schmidt (TU Dortmund) Tom Sterkenburg (LMU Munich) * Physics / Astronomy Dominik Els?sser (TU Dortmund) Michael Kr?mer (RWTH Aachen) Mario Krenn (Max Planck Institute for the Science of Light) Wolfgang Rhode (TU Dortmund) Christian Zeitnitz (BU Wuppertal) Registration is free but places are limited. To register, please send an E-mail to udnn.fk14 at tu-dortmund.de until January 15, 2024 including your name and institution. A small number of attendees will be able to join the conference dinner on the 27th on a dutch-treat basis. If you want to join the dinner, please indicate this in your registration. Organizers Annika Schuster, Frauke Stoll, and Florian J. Boge UDNN ? Scientific Understanding and Deep Neural Networks TU Dortmund Emil-Figge-Stra?e 50 44227 Dortmund GERMANY Wichtiger Hinweis: Die Information in dieser E-Mail ist vertraulich. Sie ist ausschlie?lich f?r den Adressaten bestimmt. Sollten Sie nicht der f?r diese E-Mail bestimmte Adressat sein, unterrichten Sie bitte den Absender und vernichten Sie diese Mail. Vielen Dank. Unbeschadet der Korrespondenz per E-Mail, sind unsere Erkl?rungen ausschlie?lich final rechtsverbindlich, wenn sie in herk?mmlicher Schriftform (mit eigenh?ndiger Unterschrift) oder durch ?bermittlung eines solchen Schriftst?cks per Telefax erfolgen. Important note: The information included in this e-mail is confidential. It is solely intended for the recipient. If you are not the intended recipient of this e-mail please contact the sender and delete this message. Thank you. Without prejudice of e-mail correspondence, our statements are only legally binding when they are made in the conventional written form (with personal signature) or when such documents are sent by fax. -------------- next part -------------- An HTML attachment was scrubbed... URL: From roland.w.fleming at psychol.uni-giessen.de Wed Dec 20 01:54:46 2023 From: roland.w.fleming at psychol.uni-giessen.de (Roland Fleming) Date: Wed, 20 Dec 2023 07:54:46 +0100 Subject: Connectionists: Visual Neuroscience Summer School 2024 Message-ID: <8DB55337-2752-458F-B0CD-679743AD771D@psychol.uni-giessen.de> S U M M E R S C H O O L Visual Neuroscience: from spikes to awareness Rauischholzhausen Castle (near Frankfurt, Germany) 1st-13th September, 2024 Application deadline: 17th March, 2024 Organizers: Wolfgang Einh?user-Treyer, Roland Fleming, Alexander Sch?tz Visual neuroscience studies the neural underpinnings of visual function and visual sensation. Its results contribute to our understanding of cognitive brain processes in general and also help to boost the capabilities of technological vision systems. Visual neuroscience involves a wide variety of methods and approaches - computational theory, neurophysiology, neuroanatomy, functional imaging, psychophysics, neuropsychology, and others - and illustrates perhaps more clearly than any other area of brain research, the overriding need to combine and coordinate these diverse efforts. The European Summer School exposes young vision researchers - at the late pre-doctoral or early post-doctoral level - to the principal methods and seminal issues of contemporary visual neuroscience. In addition, it seeks to build a basic fluency in the emerging lingua franca of computational neuroscience. The range of topics is broad, literally from spikes to awareness, and the pace correspondingly brisk. This intensive experience should allow participants to take a broader view of, and make more informed decisions about, their future research direction. The European Summer School is taught by leading researchers in neurobiology, neuropsychology, psychophysics, and theoretical neuroscience. Two thematically related topics are covered each day, with approximately 3 hours allotted to each (including discussion time). An after-dinner discussion provides an opportunity to contrast and compare the day?s lectures. In addition, students pursue computational and theoretical projects during the afternoon, to experiment with key concepts and techniques of computational neuroscience. Confirmed speakers in 2024 are: Alessandra Angelucci (Utah), Wyeth Bair (Seattle), James Bisley (Los Angeles), Holly Bridge (Oxford), Farran Briggs (Rochester), Wolfgang Einh?user-Treyer (Chemnitz), Roland Fleming (Giessen), Karl Gegenfurtner (Giessen), Larry Maloney (New York), Pascal Mamassian (Paris), Tony Movshon (New York), Anitha Pasupathy (Seattle), Pieter Roelfsema (Amsterdam), Alexander Sch?tz (Marburg), Stefan Treue (G?ttingen), Felix Wichmann (T?bingen). The European Summer School meets at idyllic and inspiring Schloss Rauischholzhausen in Hessia, Germany. The main selection criterion for participants is the degree of benefit that each applicant can be expected to derive from the course. In addition, the organizers attempt to balance fields, nationalities, and genders among participants. The tuition, which covers the room plus all meals (breakfast/lunch/dinner) during the school amounts to 500 ?. Details for the application process can be found at the website https://www.allpsych.uni-giessen.de/rauisch/. We look forward to welcoming you to the summer school. Wolfgang Einh?user-Treyer, Roland Fleming, Alexander Sch?tz PS: A poster for advertising this school at your department can be downloaded at https://www.allpsych.uni-giessen.de/rauisch/rauisch24.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.andreina.francisco at it.uu.se Wed Dec 20 07:59:42 2023 From: maria.andreina.francisco at it.uu.se (Maria Andreina Francisco Rodriguez) Date: Wed, 20 Dec 2023 12:59:42 +0000 Subject: Connectionists: Postdoctoral position in Decision Support Using Constraint Programming at Uppsala University Message-ID: Dear colleagues, I'm looking for a postdoctoral fellow (2-year position) to work on developing constraint programming methods to aid decision support in life science applications. The project will involve exploring a range of possible directions, including but not limited to: Devising specialised models and methods for solving problem substructures in the context of laboratory experiment design. Investigating the hybridisation of constraint programming and other artificial intelligence methods for reasoning and prediction, such as active learning, applied to drug discovery for brain tumours. More information and application details at: https://www.jobb.uu.se/details/?positionId=686103 Please contact me if you have any questions. Kind regards, Andre?na --------------------------------------------------------- Andre?na Francisco, PhD Assistant Professor in Artificial Intelligence Division of Computing Science Department of Information Technology Uppsala University, Sweden --------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... 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Name: smime.p7s Type: application/pkcs7-signature Size: 4728 bytes Desc: not available URL: From nkopco at gmail.com Wed Dec 20 15:12:34 2023 From: nkopco at gmail.com (Norbert Kopco) Date: Thu, 21 Dec 2023 07:12:34 +1100 Subject: Connectionists: Kosice Neuroscience Workshop, 15 - 17 April, 2024 In-Reply-To: References: <0cd9abc3-5b85-47ad-9c52-6d82e14e9d6a@upjs.sk> <4b7a3f15-b4c7-46b8-8bef-23394ef55975@upjs.sk> Message-ID: <46117adc-5293-4581-a6ca-295227d27f80@gmail.com> SAVE THE DATE *The 5th workshop on* *Cognitive neuroscience of auditory and cross-modal perception* *15-17 April 2024, Ko?ice (pronounced KOH-shih-tse), Slovakia* https://pcl.upjs.sk/workshop-2024 Objectives: * This workshop will include advanced research talks (and introductory lectures) on a range of topics related to the */neural processes of auditory, visual and cross-modal perception/*. * The main focus of this year?s workshop will be on **/spatial audio virtualization and gamification for hearing assessment and enhancement/**. * The talks will illustrate the */multidisciplinary character of cognitive neuroscience research/*, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. * The workshop is aimed at */early-stage and advanced students and young researchers/*, and it will provide ample opportunities for direct interactions between the lecturers and the attendees. The workshop will follow up on our previous workshops . Format: 1/2-day sessions, including invited talks, contributed talks, and posters focusing on the topics of *Spatial Audio Virtualization and Gamification for Hearing Assessment and Enhancement (general)*, as well as *other topics in computational and cognitive neuroscience*. (Also, non-scientific program ? outings to tourist destinations near Kosice ? will be organized on the days before and/or day after the workshop.) Guest speakers and SAV consortium speakers (tentative): G. Christopher Stecker , Boys Town National Research Hospital , United States Antje Ihlefeld, Meta , United States Eleni Vlahou , University of Thessaly , Greece Mathieu Lavandier , ENTPE - University of Lyon France Robert Baumgartner , Austrian Academy of Sciences , Austria Bernhard Laback,?Austrian Academy of Sciences , Austria Piotr Majdak, Austrian Academy of Sciences , Austria Anja Pahor , Univerza v Mariboru , Slovenia Frederick Gallun , Oregon Health and Science University , United States Jorg Buchholz , Macquarie University , Australia Jyrki Ahveninen , Mass General Research Institute / Harvard Medical School , United States Virginia Best ; Boston University , United States Aaron Seitz , Northeastern University , United States Norbert Kopco, P. J. ?af?rik University in Ko?ice , Slovakia Organizers: Norbert Kopco, P. J. ?af?rik University in Ko?ice Frederick Gallun , Oregon Health and Science University Robert Baumgartner , Austrian Academy of Sciences Mathieu Lavandier , ENTPE - University of Lyon Registration: The workshop is open to all interested students/scientists. Registration is free of charge but required. To register, please send an email to kogneuro at gmail.com stating your full name and affiliation and the dates on which you are planning to attend. All accepted abstracts will be published on the workshop website and in the abstract book. No proceedings will be published. In case you would like to have a presentation please send us an abstract (up to 200 words; also indicate whether you prefer poster or oral presentation) no later than *March 1, 2024*. Acknowledgement: The project has received funding from the HORIZON-MSCA-2022-SE-01 call (MSCA Staff Exchanges) of the research and innovation programme of Horizon Europe under the Marie Sklodowska-Curie actions grant agreement N? 101129903. -- doc. Norbert Kopco, Ph.D. Assoc Professor / Senior Researcher: Inst of Computer Sci, Faculty of Science, Safarik Univ, Kosice, Slovakia Visitor: Hearing Research Center, Boston University & Martinos Ctr for Biomed Imaging, Harvard Med School - Mass Gen Hospital P: +16175759556, Skype: nkopco,norbert.kopco at upjs.sk,http://pcl.upjs.sk/noro -------------- next part -------------- An HTML attachment was scrubbed... URL: From gadia at di.unimi.it Wed Dec 20 17:39:03 2023 From: gadia at di.unimi.it (gadia at di.unimi.it) Date: Wed, 20 Dec 2023 22:39:03 +0000 Subject: Connectionists: [IEEE CoG 2024] Call for Competition, Workshop, and Tutorial Proposals - Deadline January 21, 2024 Message-ID: IEEE CoG 2024: The 2024 IEEE Conference on Games August 5-8, 2024 Milan, Italy https://2024.ieee-cog.org/ Call for Competition, Workshop, and Tutorial Proposals Submission deadline: January 21, 2024 The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems. IEEE CoG 2024 will take place at Politecnico di Milano, which is located in Milan, Italy. We invite contributions related to all game aspects, including, but not limited to: - Accessibility and inclusivity in games - Game design (frameworks, game mechanics, etc.) - Game technology (game engines, graphics, audio, animation, physics, networking, controls, etc.) - Player-Computer Interfaces - Generative AI for games - Serious/applied games (for health, sustainability, etc.) - Extended reality (virtual reality, mixed reality, and augmented reality) - Esports and live-streaming - Games for education, learning and development - Game editors and authoring tools - Game User Research (player/opponent modeling, player experience studies, psychology of play and player types, etc.) - Game-playing AI - Games as test-beds for algorithms - Game analytics, game data science, and data visualization - AI for game development (automated playtesting, adaptation/personalization in games, etc.) CoG is not a conference about game theory and does not accept papers about game theory unless they are applied to games people would play, such as video games or board games. *** Workshops *** Workshops are a fantastic platform for fostering visions, idea-sharing, and nurturing emerging or interdisciplinary research areas. Accepted workshops will be part of CoG (attendees will have to register for the conference) and are expected to be half-day events, though shorter or longer workshops will be considered. Workshop organizers will manage a dedicated event webpage, promote a call for participation, and coordinate the peer review of submitted papers to the workshop. Please notice that workshop papers will be part of the auxiliary track of CoG and will be published in the conference proceedings if accepted. Workshops may also feature panel discussions, demonstrations, and interactive sessions. Finally, at least one of the organizers will be required to attend CoG 2024 to run the workshop. *** Competitions *** Competitions can focus on various topics within the scope of CoG such as playing games, generation, recommendations, modeling, analytics, and data visualization. They are often based on well-known games but competitions based on custom-made and lesser-known games are also welcome. Organizers must define clear rules and scoring objectives. Competition participants may submit a competition paper as part of the auxiliary track of CoG that once accepted will be published in the conference proceedings. Responsibilities include managing a dedicated webpage and promoting the competition timeline and participation. Finally, at least one of the organizers of the competition will be required to attend CoG 2024 to present the results. *** Tutorials *** Tutorials are an opportunity to share your expertise and influence future research in the CoG community. Typically lasting 1.5 hours, we are open to considering longer sessions. At least one of the organizers will be required to attend CoG 2024 to give the tutorial. *** Submission Instructions *** Your proposal should include: - Title of the workshop/competition/tutorial - Organizers' names, contacts, and affiliations - Detailed description of the event - Links to previous editions (if applicable) - Any other relevant information Submit your 2-page max proposal in PDF format to ieeecog2024 at gmail.com by January 21, 2024. *** Important Dates *** - Proposal submission deadline: January 21, 2024 - Notification of acceptance: February 4, 2024 - Submission of auxiliary papers: April 28, 2024 We look forward to having you join us at CoG 2024 in Milan. Best regards, The Organizing Committee of IEEE CoG 2024 --------------------------------------------------------------- Davide Gadia, PhD Associate Professor Dipartimento di Informatica "Giovanni Degli Antoni" Universit? degli Studi di Milano Via Celoria 18 20133 Milano Room 3005 - Floor 3 Tel. +39 02 5031 6301 Homepage: https://pong.di.unimi.it/davide/ PONG laboratory: https://pong.di.unimi.it/ --------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Wed Dec 20 13:56:42 2023 From: massimo.srt at gmail.com (Massimo Sartori) Date: Wed, 20 Dec 2023 19:56:42 +0100 Subject: Connectionists: [news] AI-powered Digital Humans for Personalised HealthCare Robotics: 4-episode podcast on MyoSuite and MyoChallenge Message-ID: How far are we, and what role will AI-powered Digital Human Twins play in the future of healthcare robotic technologies? The University of Twente's Robotic Center interviews the MyoSuite team (Vikash Kumar, Massimo Sartori and Vittorio Caggiano) and one of NeurIPS's 2023 MyoChallenge winners (Alberto Chiappa) for a deeper dive. Listen to the 4-episode podcast here: https://open.spotify.com/show/3dQjP4kQ9nM3IaD5pHYvxB?si=c7a01c6dfc9e4c9e The MyoChallenge 2023 is a world-wide competition as part of NeurIPS based on the opensource platform MyoSuite and focuses on learning contact-rich manipulation and locomotion skills for physiologically realistic musculoskeletal models. Thanks to the 2023 MyoChallenge co-organizers: Vittorio Caggiano, Vikash Kumar, Massimo Sartori, Huawei Wang, Seungmoon Song, Chun Kwang Tan, Guillaume Durandau, Cheryl Wang, Cameron Berg, Pierre Schumacher --- Massimo Sartori Professor and Chair, Neuromechanical Engineering PI, Neuromechanical Modeling and Engineering Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From katharina.eggensperger at uni-tuebingen.de Wed Dec 20 10:27:23 2023 From: katharina.eggensperger at uni-tuebingen.de (Katharina Eggensperger) Date: Wed, 20 Dec 2023 16:27:23 +0100 Subject: Connectionists: [CfP] International Conference on Automated Machine Learning 2024 - Deadline 29.02.2024 Message-ID: <17158640-bea7-4c06-a2f0-ad1f7bf5f456@uni-tuebingen.de> Hi everyone, We invite submissions to the 3rd International Conference on AutoML (09.09.2024 - 12.09.2024 in Paris)AutoML 2024 brings together researchers and users with the goal of developing automated methods for machine learning pipelines and applications. These automated methods can accelerate development, improve performance, and democratize machine learning to a wider audience. We welcome submissions on any topic touching upon automating any aspect of machine learning, broadly interpreted. See a full list of topics here .This year?s conference will have two parallel main tracks: one on AutoML methodsand one on applications, benchmarks, challenges, and datasets (ABCD) for AutoML. All accepted papers will be presented in poster sessions and published in a volume of PMLR . In addition, we will also have a Journal Trackand a Workshop track. Submissions will be done via OpenReview. Templates, formatting instructions, and more details can be found here . Key dates: * Abstract submission:? 26.02.2024 [AoE] * Paper submission: 29.02.2024 [AoE] * Author rebuttal: 03.04.2024 - 10.04.2024 * Author notification: 24.04.2024 [AoE] Best regards,Katharina Eggensperger ? also on behalf of the general chair, Marius Lindauer and the other PC chairs, Joaquin Vanschoren and Roman Garnett. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabien.wagner at u-bordeaux.fr Thu Dec 21 05:35:22 2023 From: fabien.wagner at u-bordeaux.fr (Fabien Wagner) Date: Thu, 21 Dec 2023 11:35:22 +0100 (CET) Subject: Connectionists: Call for interest: permanent Inria research position in Computational Neurostimulation in Bordeaux Message-ID: <1991701565.763710.1703154922236.JavaMail.zimbra@u-bordeaux.fr> Dear colleagues, We are looking for a young and motivated researcher to join our hybrid CNRS and Inria team led by Dr. Fabien Wagner (CNRS) and Dr. Am?lie Aussel (Inria). We are currently collaborating within the Neuromodulation and Neuroprosthetics team at the Institute of Neurodegenerative Diseases (IMN, CNRS UMR 5293) in Bordeaux, France: [ https://www.bordeaux-neurocampus.fr/en/team/neuromodulation-and-neuroprosthetics/ | https://www.bordeaux-neurocampus.fr/en/team/neuromodulation-and-neuroprosthetics/ ] Over the past few years, we have initiated a multifaceted research program that aims at developing new neuromodulation strategies for manipulating neural oscillations that support neurological functions, especially cognition. More precisely, our program is based on four key components: I) Computational modeling of neural oscillations in limbic (in particular the hippocampal formation) and cortical structures and how they are affected by neurostimulation; II) Invasive neurostimulation in non-human primates (NHP) using novel intracranial brain implants that target large-scale brain networks (ERC project MEMOPROSTHETICS); III) Non-invasive neurostimulation in humans using EEG recordings and transcranial electrical or magnetic stimulation (as part of the new Vascular Brain Health Institute: [ https://ihu-vbhi.fr/ | https://ihu-vbhi.fr/ ] ); IV) Neuroimaging in non-human primates , especially diffusion MRI, to build personalized models of the NHP brain. We believe that the synergy between these research axes has the potential to create an integrated understanding of how neuromodulation strategies may improve neurocognitive functions, and lead to a novel class of digital therapeutics for neurological disorders such as Alzheimer?s disease or neurovascular disorders. In this context, we are now seeking a young and talented researcher with a mix of computational and experimental skills and specialized in neuromodulation techniques (e.g. DBS, tACS, TI, or TMS) , with the intention to support her/his application for a permanent researcher position at Inria . The ideal candidate will strongly complement our group, currently composed of a neurophysiologist and neuroengineer at CNRS, Dr. Fabien Wagner, and a computational neuroscientist at Inria, Dr. Am?lie Aussel, as well as several PhD students, postdocs and engineers. We expect the candidate to lead her/his own research program, but in strong interaction with the topics and other projects of the team. Please find information about the recruitment process at Inria: [ https://www.inria.fr/en/recruitment-campaign-researchers-2024 | https://www.inria.fr/en/recruitment-campaign-researchers-2024 ] . In a single application, the candidate will have the possibility to apply to both a permanent research position (CRCN) and an Inria starting faculty position (ISFP). A first stage requires the submission of a written application. The deadline for applications will be in the first trimester 2024 , and will be posted on the Inria website. If preselected, the candidate will then defend her/his project orally in front of a jury (second and last recruitment stage). Please contact us and send us your CV if you think you could be a good fit for this position, and also thank you for circulating it to anyone who might be interested. Best wishes, Fabien Wagner and Am?lie Aussel [ mailto:fabien.wagner at u-bordeaux.fr | fabien.wagner at u-bordeaux.fr ] [ mailto:amelie.aussel at inria.fr | amelie.aussel at inria.fr ] Institut des Maladies Neurod?g?n?ratives - CNRS UMR 5293 Universit? de Bordeaux Centre Broca Nouvelle-Aquitaine - 3?me ?tage 146 rue L?o Saignat - CS 61292 - Case 28 33076 Bordeaux cedex -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Thu Dec 21 07:28:13 2023 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Thu, 21 Dec 2023 12:28:13 +0000 Subject: Connectionists: =?windows-1252?q?NEST_Conference_2024_=97_Save_th?= =?windows-1252?q?e_date_17/18_June_2024?= Message-ID: Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2024. Save the date for the virtual conference taking place on June 17?18, 2024! The annual NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! Registration and abstract submission will open early next year. For more information on the event please visit the conference website https://nest-simulator.org/conference. We are looking forward to seeing you in June and wish you happy holidays and a good start into the new year! Hans Ekkehard Plesser and colleagues [Image] -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... 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Name: image001.jpg Type: image/jpeg Size: 159903 bytes Desc: image001.jpg URL: From xiao at gmu.edu Thu Dec 21 21:25:16 2023 From: xiao at gmu.edu (Xuesu Xiao) Date: Fri, 22 Dec 2023 02:25:16 +0000 Subject: Connectionists: [meetings] [news] Online Submission Open: 3rd Benchmark for Autonomous Robot Navigation (BARN) Challenge -- ICRA 2024 Competition Message-ID: <8BCF6DB8-88B1-45F7-98BF-68DED2F791C6@gmu.edu> Submission Form: https://docs.google.com/forms/d/e/1FAIpQLSfZLMVluXE-HWnV9lNP00LuBi3e9HFOeLi30p9tsHUViWpqrA/viewform?usp=sf_link Competition Website: https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge24.html Participation Instructions: https://github.com/Daffan/nav-competition-icra2022 Lessons Learned from The BARN Challenge 2023: https://cs.gmu.edu/~xiao/papers/barn23_report.pdf Lessons Learned from The BARN Challenge 2022: https://cs.gmu.edu/~xiao/papers/barn22_report.pdf Dear roboticists, are you interested in agile robot navigation in highly constrained spaces with a lot of obstacles around, e.g., cluttered households or after-disaster scenarios? Do you think mobile robot navigation is mostly a solved problem? Are you looking for a hands-on project for your robotics class, but may not have (sufficient) robot platforms for your students? If your answer is yes to any of the above questions, we sincerely invite you to participate in our (3rd) ICRA 2024 BARN Challenge (https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge24.html)! The BARN Challenge aims at evaluating state-of-the-art autonomous navigation systems to move robots through highly constrained environments in a safe and efficient manner. The task is to navigate a standardized Clearpath Jackal robot from a predefined start to a goal location as quickly as possible without any collision. The challenge will take place both in the simulated BARN dataset and in physical obstacle courses at ICRA2024. 1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA2024 as fast as possible without collision. 2. The 300 BARN environments can be the training set for learning-based methods, or to design classical approaches in. During the simulation competition, we will generate another 50 unseen environments unavailable to the participants before the competition. 3. We will standardize a Jackal robot in the Gazebo simulation, including a Hokuyo 2D LiDAR, motor controller of 2m/s max speed, etc. 4. Participants can use any approaches to tackle the navigation problem, such as using classical sampling-based or optimization-based planners, end-to-end learning, or hybrid approaches. We will provide baselines for reference. 5. A standardized scoring system is provided on the website. 6. We will invite the top teams in simulation to compete in the real world. The team who achieves the fastest collision-free navigation in the physical obstacle courses wins. If you are interested in participating, please submit your navigation system at https://docs.google.com/forms/d/e/1FAIpQLSfZLMVluXE-HWnV9lNP00LuBi3e9HFOeLi30p9tsHUViWpqrA/viewform?usp=sf_link Co-Organizers: Xuesu Xiao (George Mason University) Zifan Xu (UT Austin) Garrett Warnell (US Army Research Lab / UT Austin) Peter Stone (UT Austin / Sony AI) Sponsor: Clearpath Robotics, https://clearpathrobotics.com/ Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ From suashdeb at gmail.com Fri Dec 22 01:53:41 2023 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 22 Dec 2023 12:23:41 +0530 Subject: Connectionists: Deadline approaching, ISMSI 2024 Message-ID: Dear friends and esteemed colleagues, Greetings to all for the upcoming festivities. This is just a gentle reminder about the imminent deadline (25th Dec'23) for ISMSI24, an annual event of IICCI http://www.ismsi.org If you haven?t submitted your manuscript as yet, I hope you will consider doing that before the deadline ends. Thank you and with kind regards, Suash Deb General Chair, ISMSI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Thu Dec 21 23:11:08 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Fri, 22 Dec 2023 04:11:08 +0000 Subject: Connectionists: ACM UMAP 2024 - 2nd Call for Tutorial Proposals Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-tutorial/ ACM UMAP 2024 - Call for Tutorial Proposals ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is pleased to invite proposals for tutorials to be given in conjunction with the conference. Tutorials are expected to be instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community. An ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Tutorials are encouraged to be as dynamic and interactive as possible. Example topics of interest include, but are not limited to: * User modeling in the era of generative artificial intelligence. * Responsible user modeling and personalization. * Effective evaluation of personalized applications. * Strategies to let users be in control of the personalization process. Tutorial presenters can have 4 pages + 1 for references in the adjunct proceedings. ** Important Dates ** Tutorial Proposal Submission: January 11, 2024 Notification: February 1, 2024 Tutorial Description & Website URL Submission: February 24, 2024 Tutorial Summary Camera-ready Submission (TAPS system): May 16, 2024 Note: The submission deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All tutorial proposals must be written in English. Proposals should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Workshop and Tutorial Proposals? track. ** Length and Formatting ** *Format*. Each proposal should be arranged into a single PDF document, not exceeding 5 pages (references included). *Template*. Following the ACM Publication Workflow, the proposal should be arranged based on the new ACM single-column format. Instructions for the organizers are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word. Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Structure*. The proposal should include the following information: * Title and abstract of the tutorial (200 words maximum). * Tutorial description: Learning objectives of the tutorial and relevance to ACM UMAP 2024. Targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills. Brief outline of the tutorial structure. Brief description of the practical sessions. * Tutorial length (ideally 1 hour and a half). * Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions, and from other tutorials on the same or similar topics (please specify conference name and year). * Name, email address, affiliation and brief professional biography of each tutorial organizer, indicating previous training and speaking experience. *Evaluation Criteria*. All proposals will be reviewed by the ACM UMAP 2024 Tutorial Chairs. The features that will be evaluated are: * ability of the tutorial to contribute to strengthening the foundations of UMAP research. * clarity of the tutorial, which should emerge from its description. * good organization, as appearing from the outline. * the value of any materials released with the tutorial for the community. * background/experience of tutorial instructor(s) in teaching the target topics. ** Instructions ** *Support*. We encourage both researchers and industry practitioners to submit tutorial proposals. Researchers interested in submitting a tutorial proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for tutorial proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. *Diversity*. We strongly suggest involving organizers from different institutions, bringing their different perspectives to the tutorial topic. We welcome tutorials with a creative structure that may attract various types of participants and may ensure rich interactions. *Expectations*. The organizers of accepted tutorials are expected to set up a webpage for the tutorial including detailed information about the tutorial organization and timeline, and disseminate a call for participation. They will be responsible for their own publicity. *Proceedings*. There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. A camera-ready summary of the tutorial should be written by the organizers to be included in these adjunct proceedings. *Camera-ready Information*. Accepted summaries will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the summaries will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted tutorial summary must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each tutorial has to be run by all organizers. Therefore, each tutorial organizer must be registered (at least 25% in person, the remaining online). Each accepted tutorial summary will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Tutorial Chairs ** * Amra Delic, University of Sarajevo, Bosnia and Herzegovina * Eelco Herder, University of Utrecht, The Netherlands * Noemi Mauro, University of Turin, Italy Contact information: umap2024-wt at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Thu Dec 21 23:14:47 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Fri, 22 Dec 2023 04:14:47 +0000 Subject: Connectionists: ACM UMAP 2024 - 2nd Call for Workshop Proposals Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-workshop/ ACM UMAP 2024 - Call for Workshop Proposals ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is pleased to invite proposals for workshops to be held in conjunction with the conference. The workshops will provide a venue to discuss and explore key emerging areas of user modeling, recommender systems and adaptive hypermedia research, among others, with a group of like-minded researchers and practitioners from industry and academia. Please consult the ACM UMAP 2024 general call for full and short papers concerning the key topics of this call as well. In this edition, our goal is to have a balanced workshop program, comprising different workshop formats and combining newly emerging, currently evolving, and established research topics. Workshops are encouraged to be as dynamic and interactive as possible. Different full-day and half-day workshop schemas are possible, such as: * Working group meetings around a specific problem or topic where participants are asked to submit a white paper or position statement. * Traditional mini-conferences on key, emerging, specialized topics, having their own paper submission and review processes. * Mini-competitions or research challenges around selected topics, with either individual or team participation and their own evaluation processes * Interactive discussion meetings focusing on subtopics of the main conference general tracks, with interactivity and engagement in mind. * Joint panels aiming to synthesize insights from diverse perspectives by bringing together experts from different workshops or sessions. ** Important Dates ** * Workshop Proposal Submission: January 11, 2024 * Notification: February 1, 2024 * Workshop Description & Website URL Submission: February 24, 2024 * Workshop Summary Camera-ready Submission (TAPS system): May 16, 2024 * Workshop Day: July TBD, 2024 (it will happen in one of the conference days) We strongly encourage the organizers of accepted workshops to diligently follow the suggested deadlines in the schedule for the authors of workshop papers: * (Suggested) 1st Call for Workshop Papers: February 28, 2024 * (Suggested) 2nd Call for Workshop Papers: April 13, 2024 * (Suggested) Workshop Paper Submission: April 24, 2024 * (Suggested) Notification: May 8, 2024 * (Mandatory) Workshop Papers Camera-ready Submission (TAPS system): May 16, 2024 These dates are synchronized with the notification of paper acceptance in the main conference track, and the availability of early registration for the authors of accepted workshop papers. Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All workshop proposals must be written in English. Proposals should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Workshop and Tutorial Proposals? track. ** Length and Formatting ** *Format*: Each proposal should be arranged into a single PDF document, not exceeding 5 pages (references included). *Template*: Following the ACM Publication Workflow, the proposal should be arranged based on the new ACM single-column format. Instructions for the organizers are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. *Structure*: Each proposal is expected to include the following information: * Workshop title and acronym. * Workshop chair(s), including, for each organizer, their affiliation, main email address, website link, and experiences in organizing such events. Note that organizers are expected to attend the workshop and be actively involved in its organization. * Abstract (up to 300 words) and topics of interest. * Keywords (at least 3). * Motivation on why the workshop is of particular interest at this time and how it complements (rather than duplicates) the topics of the main conference. * Workshop format, particularly discussing the mix of expected events, such as paper presentations, invited talks, panels, and general discussions. * Short description of the intended audience and the expected number of participants, including how they will be selected. * List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal). The program committee is mandatory. * Requested duration (half day or full day). * When available, past editions of the workshop, including their website URLs, a brief statement on the development of the workshop series, e.g., in terms of topics, number of paper submissions and participants, post-workshop publications over the years and acceptance statistics. * If this would be the first edition of the workshop, a description of how this workshop differs from others on the same or similar topics (include conference name and year). * Any other relevant information to support your proposal. ** Instructions ** *Support*: We encourage both researchers and industry practitioners to submit workshop proposals. Researchers interested in submitting a workshop proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for workshop proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. *Diversity*: We strongly suggest involving organizers from different institutions, bringing their different perspectives to the workshop topic. We welcome workshops with a creative structure that may attract various types of participants and may ensure rich interactions. *Expectations*: The organizers of accepted workshops are expected to set up a webpage for the workshop including detailed information about the workshop organization and timeline, disseminate a call for papers, a call for participation, select reviewers, and gather reviews before selecting the final program. They will be responsible for their own publicity and reviewing processes. *Proceedings*: There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. A camera-ready summary of the workshop should be written by the organizers to be included in these adjunct proceedings. Moreover, all workshop papers will be published in the same proceedings. Hence, the workshop organizers will need to make sure that the authors of workshop papers adhere to the adjunct proceedings publication timeline. *Camera-ready Information*: Accepted summaries/papers will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the summaries/papers will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. ** Registration and Presentation Policy ** Each accepted workshop summary must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each workshop has to be run by all organizers. Therefore, each workshop organizer must be registered (at least 25% in person, the remaining online). Each accepted workshop summary will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. Each accepted workshop paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted workshop paper can be presented either in person or online and will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. ** Workshop Chairs ** * Amra Delic, University of Sarajevo, Bosnia and Herzegovina * Eelco Herder, University of Utrecht, The Netherlands * Noemi Mauro, University of Turin, Italy Contact information: umap2024-wt at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From bbiancardi at cesi.fr Thu Dec 21 12:20:57 2023 From: bbiancardi at cesi.fr (BIANCARDI Beatrice) Date: Thu, 21 Dec 2023 17:20:57 +0000 Subject: Connectionists: CfP AVI 2024 Advanced Visual Interfaces - 1st Call for Posters and Demos In-Reply-To: References: Message-ID: CfP AVI 2024 Advanced Visual Interfaces - 1st Call for Posters and Demos ACM in-cooperation Conference on Advanced Visual Interfaces ================================================= 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ================================================= IMPORTANT DATES Posters and Demo papers: ? Thursday, February 29, 2024 (23:59, AoE) REMINDER and NOTICE for Long and short papers: - Abstract submission: Wednesday, January 10, 2024 (23:59, AoE) - Paper submission: Wednesday, January 17, 2024 (23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 --------------------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy and is held in-cooperation with ACM, SIGCHI, SIGMM, SIGWEB. We look forward to your participation in AVI 2024! Cristina Conati, AVI 2024 General Chair Gulatiero Volpe, AVI 2024 General Chair Ilaria Torre, AVI 2024 Program Chair --------------------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Interfaces and Interaction Computer Supported Cooperative Work Embodied Conversational Interfaces Full-body Interaction and Nonverbal Behavior Human-AI Interaction Information Visualization Intelligent Interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for entertainment Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Persuasion and Behaviour Change Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces and interactions for usable security Interfaces for Children Interfaces for well-being and flourishing Interfaces for Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices Sonification User Interfaces for the Internet of Things Usability and Accessibility Virtual and Augmented Reality Visual Analytics Technical demonstrations developed in context of artistic/cultural activities (e.g., elements of museum exhibits or dance performances) POSTER PAPERS The AVI 2024 Poster Track provides researchers and practitioners with the opportunity of presenting contributions which are work-in-progress and obtaining precious feedback from their peers in an informal setting. Poster submissions must be up to 2 pages (with one additional page for references), not anonymized. DEMO PAPERS The demo track is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive visual interfaces. We are looking for implementations of novel and exciting concepts or systems related to the main topics of AVI. We are especially keen to welcome innovative demonstrations from industry and startups that are closely aligned with the conference core themes. We encourage the emergent innovators interested to demonstrate their solutions even at an early stage of development to submit the papers to this call. Demo papers must be up to 2 pages (with one additional page for references), not anonymized. Demo submissions need to be complemented by a document that describes technical requirements (the template can be downloaded from the website). Please notice that: ? The committee reserves the right to reject proposals whose hardware and/or space requirements cannot be met by organizers (if you have any doubt please contact the demo chairs before submitting the paper). The organizers cannot provide any specific equipment (e.g., sound or lighting systems). ? In no case does a demonstration involve any remuneration from conference organizers. SUBMISSION FORMAT All the papers mentioned above, i.e., posters and demos, require online submission. Authors must format submissions according to the ACM SIGCONF template. Please find the templates below: ? Latex for Overleaf: https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty ? Word Template: https://www.acm.org/publications/proceedings-template Papers must be submitted online on EasyChair https://easychair.org/conferences/?conf=avi2024 PROCEEDINGS Since 1994, accepted long and short research papers are included in the Proceedings published by ACM Press and available in the ACM Digital Library. For each accepted paper, at least one author must register to AVI 2024 by the early registration deadline for authors, pay the registration fee and present the paper at the Conference. --------------------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Patern?, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Universit? C?te d'Azur, France ) --------------------------------------------------------------------------- @avi2024conference (https://www.facebook.com/avi2024conference/) @avi2024conference (https://www.instagram.com/avi2024conference/) @avi2024conf (https://twitter.com/avi2024conf) @avi2024conference https://www.linkedin.com/company/avi2024conference/) [cid:image007.png at 01DA343A.6FC6D4A0] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi at cesi.fr https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image008.png at 01DA343A.6FC6D4A0] [cid:image009.png at 01DA343A.6FC6D4A0] [cid:image010.png at 01DA343A.6FC6D4A0] [cid:image011.png at 01DA343A.6FC6D4A0] [cid:image012.png at 01DA343A.6FC6D4A0] cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image012.png Type: image/png Size: 590 bytes Desc: image012.png URL: From tanaka.gouhei at nitech.ac.jp Thu Dec 21 20:57:59 2023 From: tanaka.gouhei at nitech.ac.jp (Gouhei Tanaka) Date: Fri, 22 Dec 2023 01:57:59 +0000 Subject: Connectionists: [CFP] WCCI-IJCNN 2024 Special Session on Reservoir Computing Message-ID: Special Session on Reservoir Computing: Progress in Methods, Applications, and Implementations IEEE World Congress on Computational Intelligence (WCCI 2024) International Joint Conference on Neural Networks (IJCNN 2024) 30 June - 5 July 2024, Yokohama (Japan) More info at: https://dyn.web.nitech.ac.jp/en/wcci2024_ss_rc === Important dates === Paper submission deadline: January 15, 2024 Decision notification: March 15, 2024 Final Paper Submission & Early Registration Deadline: May 1, 2024 === Scope === Reservoir Computing (RC) is a computational framework derived from efficient training methods for recurrent neural network models, which consists of a fixed hidden recurrent layer (called a reservoir) and a trainable output layer (called a readout). The research field of RC has expanded broadly in recent years. First, many advanced RC models and learning methods have been developed to enhance computational performance in temporal pattern recognition while maintaining its low computational cost. Some RC models have been combined with other machine learning techniques, data scientific approaches, and inspirations from neuroscience. Second, the RC approaches have been applied to engineering applications with sensor data under resource/power-constrained conditions such as edge AI systems. Third, physical RC has been actively explored for realizing efficient AI hardware and device in the context of neuromorphic and unconventional computing, e.g., based on photonics, material science, and spintronics. Fourth, mathematical theory and analysis for revealing RC properties have made much progress. In this way, RC is a rapidly growing research topic, while being closely related to machine learning, dynamical systems theory, neuroscience, and bio/natural-computing, and AI hardware. This special session is intended to be a hub for discussion and collaboration within the Neural Networks community, and therefore invites contributions on all aspects of RC, from theory to new models to emerging applications. === Topics === A list of topics relevant to this session includes, but is not limited to, the following: * New Reservoir Computing models and architectures, including Echo State Networks and Liquid State Machines * Hardware, physical, and neuromorphic implementations of Reservoir Computing systems * Learning algorithms in Reservoir Computing * Reservoir Computing in Computational Neuroscience * Reservoir Computing on the edge systems * Novel learning algorithms rooted in Reservoir Computing concepts * New applications of Reservoir Computing, e.g., to images, video and structured data * Federated and Continual Learning in Reservoir Computing * Deep Reservoir Computing neural networks * Theory of complex and dynamical systems in Reservoir Computing * Extensions of the Reservoir Computing framework, such as Conceptors === Submission === (Details in https://dyn.web.nitech.ac.jp/en/wcci2024_ss_rc) 1. Go to "https://edas.info/N31614" 2. Choose "IJCNN, Special Session Papers" 3. In the topics section, choose "Special Session: Reservoir Computing: Progress in Methods, Applications, and Implementations" === Organizers === Andrea Ceni (University of Pisa, Italy), Claudio Gallicchio (University of Pisa, Italy), Ryosho Nakane (The University of Tokyo, Japan), Gouhei Tanaka (Nagoya Institute of Technology, Japan) Sincerely, Organizing team From axel.hutt at inria.fr Fri Dec 22 14:37:48 2023 From: axel.hutt at inria.fr (Axel Hutt) Date: Fri, 22 Dec 2023 20:37:48 +0100 (CET) Subject: Connectionists: Permanent position in computational modeling of neurostimulation in mental disorders Message-ID: <641390575.8752439.1703273868210.JavaMail.zimbra@inria.fr> ------------------------------------------------------------------------------------ Permanent position in computational modeling of neurostimulation in mental disorders ------------------------------------------------------------------------------------ The new research team NECTARINE at INRIA in Strasbourg / France aims to create a synergy between clinicians and scientists to develop new healthcare technologies. The team researchers collaborate closely with clinicians and choose their research focus along the clinical applications. Major scientific objectives are the development of advanced online- and offline simulations of neural activity on the macroscopic scale involving new numerical techniques for real-time computation and data-driven simulation dedicated to patient-specific modelling. The specific focus of the team's research is general anaesthesia, description of consciousness and attention and neurostimulation of patients suffering from mental disorders. The team offers the possibility to apply for a permanent position as Charg? de Recherche (CR) or Directeur de Recherche (DR) in the research field of computational neuroscience with a strong focus on linking brain network modelling with experimental data. The new colleague should have a strong expertise in neurostimulation and/or modelling of experimental data observed in mental disorders. Strong programming and mathematical skills are mandatory. INRIA is a French National Institute for Research in Digital Science and Technology ( [ https://www.inria.fr/en | https://www.inria.fr/en ] ) with 9 research centres in France. The new team will be located in the centre of Strasbourg on the hospital campus as part of the Research Centre Nancy Grand Est. The application deadline will be mid of February 2024 , but it is recommended to contact us (by email: axel.hutt at inria.fr ) in advance. For more details or sending your application documents (CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt at inria.fr ) . -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France [ https://mimesis.inria.fr/members/axel-hutt/ | https://mimesis.inria.fr/members/axel-hutt/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Fri Dec 22 10:07:24 2023 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Fri, 22 Dec 2023 16:07:24 +0100 Subject: Connectionists: NeSy 2024 (Intl. Conf. on Neurosymbolic Learning and Reasoning): Announcement & Pre-CfP Message-ID: 1st International Conference on Neurosymbolic Learning and Reasoning (NeSy 2024) ===== TL;DR ===== Dates: September 9-12, 2024 Location: Barcelona, Catalonia, Spain Full paper submission: April 12, 2024 Late/short paper submission: May 5, 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 1st International Conference on Neurosymbolic 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. The proceedings of NeSy 2024 will be published as part of Springer's LNCS/LNAI series. ===== Relevant Dates ===== Conference website available: Late January 2024 Detailed CfP (including formatting guidelines): Late January 2024 Full paper abstract deadline: April 5, 2024 Full paper submission: April 12, 2024 Author notification: May 24, 2024 Camera-ready papers: June 19, 2024 Late/short paper submission: May 5, 2024 Author notifications: June 3, 2024 Camera-ready papers: June 19, 2024 ===== 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) -------------- next part -------------- An HTML attachment was scrubbed... URL: From meysam.hashemi at gmail.com Fri Dec 22 06:33:40 2023 From: meysam.hashemi at gmail.com (Meysam Hashemi) Date: Fri, 22 Dec 2023 12:33:40 +0100 Subject: Connectionists: Available PhD/Postdoc positions in Viktor Jirsa's team, Marseille Message-ID: Dear all, We have several PhD/Postdoc/Engineer positions available in Viktor Jirsa ?s group at the Institut de Neurosciences des Syst?mes (INS), in Marseille, southern France. *1) Researcher Position: Virtual Brain Twins in Epilepsy * [image: 6.png] Job Offer: Researcher Position: Virtual Brain Twins in Epilepsy ? INS ins-amu.fr *2)* *Researcher Position: Virtual Brain Twins in Psychiatric Disorders * [image: 6.png] Job Offer: Researcher Position: Virtual Brain Twins in Psychiatric Disorders ? INS ins-amu.fr *3) Postdoctoral Researcher in Multiscale Model Building to Simulate DIGITAL TWIN Brain Models in EBRAINS: * [image: 6.png] Job Offer: Postdoctoral Researcher in Multiscale Model Building to Simulate DIGITAL TWIN Brain Models in EBRAINS ? INS ins-amu.fr *4) Postdoctoral Researcher in Stimulation Model Building to Simulate DIGITAL TWIN Brain Models in EBRAINS * [image: 6.png] Job Offer: Postdoctoral Researcher in Stimulation Model Building to Simulate DIGITAL TWIN Brain Models in EBRAINS ? INS ins-amu.fr *5) Postdoctoral Researcher in Machine Learning for Large-Scale Brain Network Models * [image: 6.png] Job Offer: Postdoctoral Researcher in Machine Learning for Large-Scale Brain Network Models ? INS ins-amu.fr *6) Engineer in Probabilistic Machine Learning for Building Workflows to Operate DIGITAL TWIN Brain Models in EBRAINS* [image: 6.png] Job Offer: Engineer in Probabilistic Machine Learning for Building Workflows to Operate DIGITAL TWIN Brain Models in EBRAINS ins-amu.fr *Application Deadline:* The position will remain open until filled. *Starting Date:* January 2023 *How to Apply:* Interested candidates are encouraged to submit their applications, including a cover letter, curriculum vitae, and contact information for references, to giovanna.RAMOS-QUEDA at univ-amu.fr and lisa.otten at univ-amu.fr. Please specify the title of the position in the subject line. Thanks for your attention, and we look forward to receiving your application. Kind Regards, Meysam ---Meysam HASHEMI *Institut de Neuroscience des Syst?mes- Inserm UMR 1106**Aix-Marseille Universit? Facult* *? de M?decine de la Timone* *27, Boulevard Jean Moulin 13005 Marseille* *France* Homepage: https://mhashemi0873.github.io/personalwebpage/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 91681 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 91681 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 91681 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 91681 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 105302 bytes Desc: not available URL: From Mark.Humphries at nottingham.ac.uk Fri Dec 22 07:51:32 2023 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Fri, 22 Dec 2023 12:51:32 +0000 Subject: Connectionists: PhD project in recurrent neural network models of neural dynamics Message-ID: A 4-year fully-funded PhD studentship project with Professor Mark Humphries and Professor Stephen Coombes is available for October 2024 start, through the University of Nottingham's BBSRC Doctoral Training Programme. The striatum is central to an extraordinary range of disorders, from Parkinson's disease to OCD, but our best models for its function are outdated and contradicted by recent data. In this project, we will test the hypothesis that the striatum is a special class of recurrent neural networks (RNNs) that use purely inhibitory connections. We will build and analyse this class of networks, deriving predictions for the computations that striatum performs, and for the activity of neuron populations in the striatum. We will then test these predictions in two large-scale datasets of population recordings from striatum in freely-exploring mice from the studies of Klaus et al (Neuron, 2017) and Markowitz et al (Cell, 2018). The DTP offers 2 lab rotations and wide-ranging training modules. If successful, the PhD student will join the Humphries' lab ( https://www.humphries-lab.org/) and be part of the School of Psychology's extensive postgraduate support network. Closing date:12 noon (GMT) Friday 12th January 2024. For full studentship details and how to apply see here: https://www.nottingham.ac.uk/bbdtp/apply/how-to-apply.aspx Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike 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 samuel.kaski at manchester.ac.uk Fri Dec 22 08:05:09 2023 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Fri, 22 Dec 2023 13:05:09 +0000 Subject: Connectionists: I am hiring: Postdoc and PhD researcher positions in machine learning in Helsinki and Manchester, DL January 28, 2024 Message-ID: Thinking about the next position during the holidays? I am hiring in my machine learning research group both in Helsinki and Manchester, DL January 28, 2024 Manchester: Postdoc in probabilistic machine learning and sustainability; collaboration with an outstanding sustainability team - Univ Manchester is top in the UK and Europe, and 3rd in the world in the QS World University Ranking for Sustainability. This position belongs to the European Lighthouse of AI for Sustainability ELIAS (https://elias-ai.eu) : https://www.jobs.manchester.ac.uk/internal/Job/JobDetail?JobId=27651 Manchester: Doctoral students: https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/ Helsinki: Probabilistic modelling and Bayesian inference for Machine Learning, ML for drug design, synthetic biology and biodesign, with differential privacy, for personalized medicine, for next-generation distribution shifts, or for collaborative machine learning: https://aalto.wd3.myworkdayjobs.com/aalto/job/Otaniemi-Espoo-Finland/Postdoctoral-and-doctoral-researcher-positions-in-Probabilistic-Machine-Learning-research-group--Aalto-University_R38234 Additionally, we have positions open in the Finnish Center for Artificial Intelligence FCAI (https://fcai.fi/we-are-hiring), to work with my FCAI colleagues and collaborators with or without me, DL January 21, 2024. Feel free to contact me for more details; please Cc Fang Wang (Helsinki) or Angel Harper (Manchester), addresses on the call pages. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastiano.vascon at unive.it Fri Dec 22 10:29:45 2023 From: sebastiano.vascon at unive.it (Sebastiano VASCON) Date: Fri, 22 Dec 2023 16:29:45 +0100 Subject: Connectionists: [JOB POST] 1+1 Year PostDoc Researcher in Computer Vision @ Ca' Foscari University Message-ID: The Computer Vision and Machine Learning (CVML) Laboratory of the Ca' Foscari University of Venice offers a 1+1 year PostDoc position on Computer Vision for Robotics. The selected candidate will work on a project of national interest on Computer Vision applied to Robotics for Health. The aim is to develop an active assistive device (walker) for people with walking deficits. The project involves three partners, Ca' Foscari University of Venice, the University of Padova, and the University of Catania. === Who are we looking for? === We are looking for talented candidates with experience (track record of conference proceedings or journals) in at least one of the following areas: person detection/recognition, person re-identification, tracking and forecasting. Indeed, good development skills (Python and deep learning libraries Pytorch/Tensorflow), as well as curiosity, independence, and sincere interest in the above-mentioned topics are required. Previous experience in industrial projects involving computer vision techniques and/or ROS platform is also appreciated. Fluency in English (spoken and written) is essential. *The position will start ideally in February 2024 with a deadline to apply on the 7th of January.* === What you'll get? === - a good salary compared to the average stipend in Italy - a good working place (flexible working hours, in particular for family needs) - an international environment with friendly and nice colleagues - a good computing infrastructure (2 servers with GPUs in the lab plus a personal computer) - the possibility of living in one of the most beautiful cities in the world (Venice) - no didactic duties, but if the candidate is interested, there may be opportunities in that direction. === About us === As for us, the CVML group at Ca' Foscari University has a long tradition of research in computer vision, machine learning, and artificial intelligence, with a particular focus on graph-based methods. Currently, the group comprises one full professor (head of the lab), two full-time researchers, three postdocs, nine Ph.D. students, and many master students and external collaborators in various fields. We are a small but highly motivated group! The candidate will be expected to actively contribute to the laboratory activities by participating in weekly seminars, discussions, and research-related tasks. === Show your interest === If you are interested in this position, you can contact sebastiano.vascon at unive.it , attaching your CV and whatever doubts/curiosities you might have. Thank you and my best wishes for the new year! Seba -- *Sebastiano Vascon* Assistant Professor (RTD-b, tenure-track) Department of Environmental Science, Informatics and Statistics Ca' Foscari University of Venice Via Torino, 155 - 30170 Mestre, Venice (VE), Italy European Center for Living Technology Dorsoduro 3911, Calle Crosera, 30123 Venice, Italy phone: +390412348487 mail: sebastiano.vascon at unive.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Fri Dec 22 11:44:41 2023 From: Pavis at iit.it (Pavis) Date: Fri, 22 Dec 2023 16:44:41 +0000 Subject: Connectionists: CALL for Machine Learning Research Engineer - IIT Genova, Italy [Jobs] In-Reply-To: <68be4fd785a540a2be407ded5ffc978a@iit.it> References: , <68be4fd785a540a2be407ded5ffc978a@iit.it> Message-ID: <80b04166b2bc45c79bc742973e22e49d@iit.it> CALL for Machine Learning Research Engineer - IIT Genova, Italy We seek to appoint a full-time Machine Learning Research Engineer to contribute to the development of new technologies for cutting edge vision systems in the context of an industrial project in collaboration with a large multinational company. The project carries out innovative research on the topics of Visual Question Answering and fast adaptation of vision-language models. The project team will be responsible for all the phases of the research development, including methods design and implementation, data preparation and benchmarking, task planning and frequent reporting. Within the team, your main responsibilities and duties will depend on your expertise and experience. ESSENTIAL REQUIREMENTS * Master's degree in computer science, computer engineering or related fields with excellent overall score; * Strong engineering and programming skills (Python or C/C++); Experience with software development in Linux or Windows; * Solid knowledge of machine learning and computer vision; * Good in time and priority management; Strong problem-solving attitude; Creative, proactive and collaborative attitude; Ability to work autonomously in a highly interdisciplinary environment; High motivation to learn; * Good communication skills; proficiency in English language (written and oral). ADDITIONAL SKILLS * A PhD in relevant field (machine learning, robotics, computer science or equivalent); * Documented experience in the development of machine learning pipelines with deep learning libraries/frameworks, such PyTorch, TensorFlow; * Experience in the development of computer vision systems; * Experience in the development of data science pipelines. EXTRA AWESOME * A strong publication record; * Documented experience in coaching junior scientists; * Documented experience working in machine learning and computer vision research projects in industry or academia in a mid/senior or junior role; * Experience working with modern machine learning methods as Transformers. More information and application instructions https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2300005V -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Sat Dec 23 05:41:52 2023 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sat, 23 Dec 2023 10:41:52 +0000 Subject: Connectionists: [CFP] Graph Neural Networks for Real-World Data Message-ID: <50D1C3AD-C99B-4D44-854A-C76D3CF13D25@uniparthenope.it> Dear colleagues, we are pleased to invite you to submit your original contributions to Special Session: Graph Neural Networks for Real-World Data which will take place at IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024 (IEEE EAIS 2024), to be held in Madrid, Spain, on 23?24 May, 2024. Special Session website: https://sites.google.com/icar.cnr.it/gnn-for-rw-data/home Paper submission deadline: Feb 15, 2024 Call for paper Graphs are a powerful tool for the analysis and depiction of real-world data due to their ability to capture intricate relationships and structures inherent in many domains. These structures are often graph-like, and the interaction among various sources of information can be effectively represented using nodes and links. The application of the computational versatility of neural architectures to graphs has resulted in the development of powerful computational models, notably Graph Neural Networks (GNN). These models excel in exploiting the inherent information present in a graph structure. GNNs offer a versatile framework for various computations, including but not limited to node classification, graph classification, and link prediction. These computations play a crucial role in solving supervised and unsupervised classification problems. Moreover, GNNs prove their adaptability by accommodating information that doesn't conform to traditional grid-like structures. This flexibility allows data to be cast into graphs, considering a topology derived from specific features and adjacency matrices. By doing so, GNNs become applicable to a broader range of data types and structures. The overarching goal of this special session is to provide a forum for the presentation and discussion of original papers and reviews on the latest methods involving GNNs. These methods are specifically tailored for the analysis of diverse real-world data types. Examples of such data include environmental, biomedical, and social network data. By exploring the application of GNNs across different domains, we aim to foster a deeper understanding of their capabilities and potential contributions to advancing data analysis and representation in various fields. Topics: General GNN-based architectures Representation Learning by GNNs Explainability in GNNs GNNs in Computer vision and Image Processing GNNs in Natural Language Processing Processing of Biological data with GNNs GNNs for Environmental Monitoring Organizing Committee Giosu? Lo Bosco, Department of Mathematics and Computer Science of the University of Palermo, Italy. Salvatore Calderaro, Department of Mathematics and Computer Science of the University of Palermo, Italy. Riccardo Rizzo, Institute for High Performance Computing and Networking, CNR, Italy Antonino Staiano, Department of Science and Technology, University of Naples Parthenope, Italy Filippo Vella, Institute for High Performance Computing and Networking, CNR, Italy Antonino Staiano Antonino Staiano, PhD Associate Professor Department of Science and Technology University of Naples Parthenope, Centro Direzionale Isola C4, 80143, Napoli, Italy Room 429, 4th Floor (North side) Email: antonino.staiano at uniparthenope.it Phone : +39 081 5476520 -------------- next part -------------- An HTML attachment was scrubbed... URL: From malte.schilling at uni-muenster.de Sat Dec 23 04:48:56 2023 From: malte.schilling at uni-muenster.de (malte.schilling at uni-muenster.de) Date: Sat, 23 Dec 2023 10:48:56 +0100 Subject: Connectionists: PhD Position on DRL for robot locomotion Message-ID: <3388B246-A779-4B62-8416-22C14114E5A8@uni-muenster.de> There is a PhD position open in the Autonomous Intelligent Systems group at the University of M?nster. The focus of the position will be on Deep Reinforcement Learning for the control of locomotion in robots. In particular, we are aiming to develop biologically-inspired principles that enable more efficient learning mechanisms for adaptive behaviour. This position will focus on model-free and model-based learning approaches for the control of robots based on biological principles such as decentralization, modularization, and hierarchical organization. The architecture shall be applied to one of our robots, e.g. the Unitree Go1, in multiple and increasingly more difficult tasks that require transfer learning. Furthermore, the candidate will get the opportunity to extend this work in further directions, for example, towards a multi-agent setting or XAI that makes decision-making more transparent (for more information, get in contact with us). This position is tied to working towards a doctorate. For more information, get in contact with us and see: https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20231512_js12.html Applications of interested computer scientists and machine learners are welcome! Regards Malte Schilling -- Prof. Dr. Malte Schilling Autonomous Intelligent Systems Group, University of M?nster Computer Science Department, FB 10 Einsteinstr. 62, D-48149 M?nster, Germany Tel: +49-251-8333804 malte.schilling at uni-muenster.de From tomas.hromadka at gmail.com Sun Dec 24 11:50:54 2023 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sun, 24 Dec 2023 17:50:54 +0100 Subject: Connectionists: COSYNE 2024: Travel grants; Pre-Cosyne Brainhack Message-ID: ==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open Travel grants applications are now open. Travel grant applications deadlines: *31 December 2023, 11.59PM PST (Undergraduate Travel Grant)* 24 January 2024, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside Europe. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- PRE-COSYNE BRAINHACK ----------------------------------------------------- Pre-COSYNE Brainhack is a satellite event and hackathon from 27-28 February 2024 in Lisbon, Portugal, immediately preceding the COSYNE conference. This hackathon brings together people who are passionate about open science, open-source tools, and collaboration around computational and systems neuroscience. It provides an opportunity for people from different institutions to work together on projects of shared interest and learn from each other. Anyone is welcome to participate. Space is limited to 25 people. To learn more and apply, please visit the Pre-COSYNE Brainhack website: https://pre-cosyne-brainhack.github.io/hackathon2024 ----------------------------------------------------- COSYNE 2024 SPEAKERS ----------------------------------------------------- Blaise Aguera y Arcas (Google Research) Dora Angelaki (NYU) Silvia Arber (U Basel) Laura Busse (LMU Munich) Lars Chittka (Queen Mary U) Kafui Dzirasa (Duke U) Elizabeth Hong (Caltech) Alex Pouget (U Geneva) Rajesh Rao (U Washington) Mac Shine (U Sydney) David Sussillo (Meta Reality Labs & Stanford) Claire Wyart (ICM Brain & Spine Institute) ----------------------------------------------------- COSYNE 2024 COMMITTEES ----------------------------------------------------- COSYNE ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Champalimaud) Poster Design: Maja Bialon COSYNE PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Yashar Ahmadian (U Cambridge) Athena Akrami (UCL) Timothy Buschman (Princeton) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Jorge Mejias (U Amsterdam) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) Dan Yamins (Stanford) COSYNE EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) COSYNE CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists lists for details. From juxi.leitner at gmail.com Sun Dec 24 06:44:02 2023 From: juxi.leitner at gmail.com (Juxi Leitner) Date: Sun, 24 Dec 2023 22:44:02 +1100 Subject: Connectionists: =?utf-8?q?=5BMeetings=5D_Call_for_Workshops_=7C_R?= =?utf-8?q?obotics=3A_Science_and_Systems=E2=80=9D_=28RSS=29_2024?= Message-ID: + Call for Workshops + We invite proposals for full and half-day workshops and tutorials to take place in conjunction with the ?Robotics: Science and Systems? (RSS) 2024 conference. Proposals should be submitted by February 16, 2024, 23:59 AOE via Google Forms: https://forms.gle/aG55LpD6UxbxDrCt6 The conference, including its workshops and tutorials, is planned as an in-person event. Please contact the workshop chairs (c.pek at tudelft.nl and katsu.yamane at gmail.com) for any clarifications. For more information keep reading and check the webpage at: https://roboticsconference.org/information/cfw/ ++++++++++++++++++++++++++++++++++++++++++++ Call for Workshops The RSS workshops and tutorials provide high-quality, topically-focused forums for researchers at the forefront of robotics. They will take place at the Technical University of Delft in Delft, Netherlands, on Monday July 15 and Friday July 19, 2024. Workshops are intended to supplement the research presented in the main proceedings. Tutorials should support researchers new to the field in quickly gaining the necessary skills and knowledge. We are encouraging events that will promote discussion and interaction among the participants. We will prioritize proposals with high educational value, interest and relevance. Specifically, we welcome: + Proposals with a diverse set of confirmed speakers as well as with a plan for active participation of the audience (e.g., submissions for posters/presentations, discussion sessions, interactive hands-on tutorials, etc.). + We encourage organizers to consider, among others, diversity of presenters in terms of: i) Seniority and academic rank (beyond senior researchers, you could invite senior PhD students and postdocs whose work you appreciate), ii) Gender, iii) Race and ethnicity, iv) Geographic location, v) Professional backgrounds (e.g., industry, government, and academia). + Innovative event structures that will encourage discussion and interaction among the participants. Previous examples include structured debates or groupings of senior and junior researchers for brainstorming new research directions. + Proposals that will encourage the participation of communities that have not traditionally participated at RSS but are relevant to robotics science and systems, or the practice and philosophy of the discipline. + Tutorials focusing on tools commonly used in work presented at RSS or showcasing new libraries, which the community can leverage. + Workshops that will encourage analysis and reflection on topics and issues, which formulate challenging problems and that promote discussion, debates, and long-term vision. This includes workshops on ideas that may be important for the field but may be poorly treated by the formal peer-review process. Workshop proposers should indicate to invited speakers that they should not accept to participate in more than 2 workshops or tutorials. Organizers should explicitly remind and verify this recommendation with the invited speakers. ++++++++++ Submissions We expect proposals to be approximately 2-3 pages in length, and no more than 5 pages. The proposal template can be found at this link: https://docs.google.com/document/d/1E6idp_ihl2WJNBJPWQRsIxCWpvw4ki4ptteoPdanD2g/edit?usp=sharing Workshop and tutorial proposals should be submitted here: https://forms.gle/aG55LpD6UxbxDrCt6 Please contact the workshop chairs (c.pek at tudelft.nl and katsu.yamane at gmail.com) for any clarifications. +++++++++++++ Important Dates February 16, 2024, 11:59 pm AoE: Workshop Proposal Submission Deadline March 22, 2024: Workshop Proposal Acceptance Notification late March/early April 2024: RSS Workshop Organisers Meeting (virtual) July 15th and July 19th, 2024Workshops Dates Please check the conference website as well as the conference?s social media accounts for more information. -- Juxi Leitner Senior Lecturer | Monash University | http://www.monash.edu/engineering/robotics CTO / Co-founder | LYRO Robotics | http://www.lyro.ai From wduch at umk.pl Sun Dec 24 07:24:46 2023 From: wduch at umk.pl (Wlodek Duch) Date: Sun, 24 Dec 2023 13:24:46 +0100 Subject: Connectionists: Machine Learning and Signal Processing for Brain or Behavioral Analysis, WCCI2024 Message-ID: An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Sat Dec 23 22:17:03 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sun, 24 Dec 2023 03:17:03 +0000 Subject: Connectionists: ACM UMAP 2024 - Call for Late-Breaking Results and Demos Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-lbr-and-demos/ ACM UMAP 2024 - Call for Late-Breaking Results and Demos ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. ACM UMAP operates under the ACM Conference Code of Conduct. The proceedings, published by ACM, will be part of the ACM Digital Library. ACM UMAP 2024 invites Late-Breaking Results (LBR) papers as well as Demonstrations (demos) of innovative UMAP-based systems (including research prototypes). The topics for these submissions are the same as the ones included in the Call for Full and Short Papers. However, their scope and timing is different. In particular, although short papers (from the main track) and the LBR papers of this call have the same maximum length, LBR papers are expected to present innovative ideas that are being explored and have already shown some promising results. It is also a dissemination channel for new research directions. Mature results which have already gone through experimental validation are more suitable for the general call, either as a full or short paper. Thus, rejected papers from the main track are not expected to be a valuable contribution as an LBR paper unless their contents are revised to address the scope of this track. Note also that LBR papers are to be presented physically during the conference in a poster format, allowing for more informal discussions on the ideas shared. Demos are intended to present systems that have been used to achieve the research outcomes presented as full and short papers. Thus, we highly recommend authors of accepted full and short papers to also prepare a submission for a demo of their system to be showcased at the conference in the LBR and Demo session. ** Important Dates ** Submission: April 18, 2024 Notification: May 9 2024 Camera-ready Submission (TAPS system): May 16, 2024 Conference: July 1 ? 4, 2024 Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. Submission All submissions must be written in English. Papers should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Late Breaking Results and Demo Papers? track ** Length and Formatting ** -- Late-Breaking Results Format -- * Page Limits. Up to 7 pages, plus up to 2 additional pages for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). * Proceedings. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation. Physically presented as a poster during the conference. * Description. LBRs are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of UMAP. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. In case that papers rejected in the main track (i.e. submitted as full or short papers) are submitted to this track, they should be revised not only to take into account the comments made to help improve the paper, but to fulfill the scope of the LBR, which emphasizes novelty of ideas. This is also valid for papers that have been recommended as an LBR when rejected in the main track. -- Demos Format -- * Page Limits *. Up to 5 pages, plus up to 1 additional page for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2024. * Supporting Material *. Video or external material demonstrating the system. * Proceedings *. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation * . Physically presented as a demo plus as a poster during the conference. * Description *. Demos will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and get valuable feedback from the community, especially for those papers that have been presented in the main track. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). Non-Anonymity. Submissions will be reviewed single-masked (i.e., authors? names should be included in the papers) thus there is no need to be anonymized before submission. Template for the Research Description. Following the ACM Publication Workflow, all authors should submit manuscripts for review in the new ACM single-column format. Instructions for authors are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. * Accessibility *. Authors are strongly encouraged to provide ?alt text? (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author?s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures. ** Review Process & Camera-ready Submission ** * Review * Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. The ACM Code of Ethics gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minority communities. Further, reviewers will be explicitly asked to consider whether the research was conducted in compliance with professional ethical standards and applicable regulatory guidelines. Failure to do so could lead to a (desk-)rejection. * Camera-ready Information *. Accepted papers will be subject to further revision to meet the requirements of the camera-ready format required by ACM. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. Instructions for preparing the camera-ready versions of accepted papers will be provided after acceptance. This might include instructions to prepare a video of the accepted contribution. Camera-ready versions of accepted papers will be later submitted using ACM?s new production platform where authors will be able to review PDF and HTML output formats before publication. ** Registration and Presentation Policy ** Each accepted paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted paper must be presented in person to be included in the conference adjunct proceedings, published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. During the conference, all categories will be presented at the poster reception, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. ** Late-Breaking Results and Demos Chairs ** * Bamshad Mobasher, DePaul University, USA * Hanna Hauptmann, Utrecht University, Netherlands * Olga C. Santos, Universidad Nacional de Educacion a Distancia (UNED), Spain Contact information: umap2024-lbr at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at snl.salk.edu Sun Dec 24 11:58:39 2023 From: terry at snl.salk.edu (Terry Sejnowski) Date: Sun, 24 Dec 2023 08:58:39 -0800 Subject: Connectionists: NEURAL COMPUTATION - January 1, 2024 In-Reply-To: References: Message-ID: <4220ad93-fb7f-4f10-8625-e2a738cd43f9@snl.salk.edu> NEURAL COMPUTATION - Volume 36, Number 1 - January 1, 2024 Now available for online download: http://www.mitpressjournals.org/toc/neco/36/1 http://cognet.mit.edu/content/neural-computation ----- Articles Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning and Hierarchical Planning Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish Modelling the Role of Contour Integration in Visual Inference Salman Khan, Alexander Wong, Bryan Tripp Synchronization and Clustering in Complex Quadratic Networks Anca R?dulescu, Danae Evans, Amani-Dasia Augustin, Anthony Cooper, Johan Nakuci, Sarah Muldoon Letters Cocaine Use Prediction With Tensor-based Machine Learning on Multimodal MRI Connectome Data Anru R. Zhang, Ryan P. Bell, Chen An, Runshi Tang, Shana A. Hall, Cliburn Chan, Kareem Al-Khalil, Christina S. Meade Performance Evaluation of Matrix Factorization for fMRI Data Yusuke Endo, Koujin Takeda The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins ----- 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 christopher.pack at mcgill.ca Mon Dec 25 11:20:45 2023 From: christopher.pack at mcgill.ca (Christopher Pack, Dr.) Date: Mon, 25 Dec 2023 16:20:45 +0000 Subject: Connectionists: Neuro-AI Conference in Chile, April 2024 Message-ID: Abstract submission is now open for the Puc?n Summit on Neuroscience and Artificial Intelligence, to be held in Puc?n, Chile, from April 8-12, 2024. The Summit will aim to explore the intersection of neuroscience and Artificial Intelligence (AI), with a particular focus on mechanisms of learning. This event will provide a platform for AI and experimental neuroscience researchers to delve into the mechanisms of learning at the cellular, systems, and behavioral levels. The meeting aims to address three fundamental questions that have been the subject of intense research and theoretical debate: 1) What cellular mechanisms enable learning on different timescales? 2) How do brain networks modify their connectivity to support adaptive behaviors? 3) How do popular AI learning algorithms relate to biological mechanisms of learning at the cellular and systems levels? The emphasis will be on exchanging information between theoretical and experimental scientists. How can AI generate testable predictions for neuroscientists? How can neuroscientific discoveries inform the next generation of AI models? More information is available at the website: https://plena.cenia.cl/ This five-day meeting will involve talks in the morning, free afternoons for speakers, workshops for students, and round table discussions in the evenings. There is also a possibility of satellite workshops and other activities involving trainees before and after the meeting. Important dates Abstract submission: January 24, 2024 Early registration: February 2, 2024 Regular registration: March 5, 2024 Keynote speakers Sara Solla (Northwestern University) Nelson Spruston (HHMI) Full list of invited talks: https://plena.cenia.cl/speakers/ Chile is renowned for its beautiful landscapes, rich culture, and vibrant research community. We have selected the city of Puc?n, as an exceptional venue providing a secluded and conducive environment for stimulating conversations, fruitful collaborations, and unique outdoor activities (i.e., Volcano trekking, river rafting, lake activities, etc.). We hope to see you there. Regards, The Scientific Committee [cid:image002.jpg at 01DA3724.7C7EDC50]Roberto Araya (U. Montreal, Canada) Christopher Pack (McGill University, Canada) Pedro Maldonado (Universidad de Chile, Chile) Markus Diesmann (J?lich Research Center, Germany) For any questions, please contact us by email: plena at cenia.cl -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 47225 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 6114 bytes Desc: image002.jpg URL: From battleday at g.harvard.edu Tue Dec 26 19:52:04 2023 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Tue, 26 Dec 2023 18:52:04 -0600 Subject: Connectionists: Mathematics of Neuroscience and Artificial Intelligence (Rome May 28-31st 2024): Call for Papers and Early-Registration Special Message-ID: We are delighted to announce The 5th International Convention on the Mathematics of Neuroscience and Artificial Intelligence! www.neuromonster.org This year?s convention will be held in the Villa Wolkonsky, the official residence of the British ambassador in Rome, from the 28th to the 31st May, 2024. We *invite submissions* for any of the four sessions listed on the website. Please make submissions via the following Google Form: https://forms.gle/SbyQy5kRSFcKaH2FA To accompany the launch of the event, we are excited to release *a limited number of early-bird registrations, accompanied by a fee discount*. If you think you would like to join, please sign up! And of course please do forward on to anyone who might also be interested. Confirmed Keynote Speakers: Professor Peter Dayan (Max Planck Institute, T?bingen) Professor Sophie Deneve (Ecole Normale Sup?rieure, Paris) Professor Giovanni Pezzulo (National Research Council, Rome) Sessions: *Biocomputation* (Chairs: Professor Dan V. Nicolau Jr, KCL; Yasmine Ayman, Harvard) *Neural Theory* (Chairs: Dr Francesca Mastrogiuseppe, Champalimaud; Dr James Whittington, Stanford/Oxford) *Cognitive Science* (Chairs: Dr Antonella Maselli, NRC Italy; Dr Ruairidh Battleday, Harvard/MIT) *Artificial Intelligence* (Chair: Dr Ilia Sucholutsky, Princeton) We are looking forward to seeing everyone at the conference; and to discussing the next breakthroughs in mathematical approaches to the mathematical and computational study and simulation of brain and behavior! With our best wishes and Season?s Greetings, Ruaridh and Dan -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Executive Director 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 suashdeb at gmail.com Tue Dec 26 05:06:12 2023 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 26 Dec 2023 15:36:12 +0530 Subject: Connectionists: Extended Deadline, ISMSI 2024 Message-ID: Dear friends and esteemed colleagues, Festival greetings to all and my best wishes for a great 2024. This is to share with you that on numerous requests due to overlapping holidays, the deadline for submission of manuscripts for 2024 8th ISMSI, an annual event of IICCI, has been extended till 30th January, 2024 http://www.ismsi.org In case you are not able to submit till now, I hope you will avail this extended deadline and submit yours. Thank you and will look forward to receiving your papers in the coming days. With kind regards, Suash Deb General Chair, ISMSI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Wed Dec 27 10:57:35 2023 From: antonior at usp.br (Antonio Roque) Date: Wed, 27 Dec 2023 12:57:35 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S?o Paulo (USP), Brazil, and funded by the S?o Paulo Research Foundation (FAPESP), is offering post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team that can be consulted at our website. The project may be developed at the laboratories of USP, campuses of S?o Paulo or Ribeir?o Preto, or at UNICAMP, Campinas, in person. We seek candidates capable of developing independent research in one of the research lines below. 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing, and quantitative analysis of neurobiological data. 3. Instrumentation development associated with brain stimuli. Candidates to the first research line are required to have a strong background in probability theory with emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. Candidates to the third research line are required to have a strong background in electronic instrumentation, robotics, programing, and safety in medical equipment. The initial appointment is for one year, with a possible extension, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form . The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the three research lines the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program . - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl at numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until the deadline of February 02, 2024. Appointment is expected to start by March 2024. The initial period of the position lasts for 12 months, with possible renewals to up to the end of the project, July 31, 2025. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of BRL 9,047.40 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427 . -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior at usp.br aroquesilva at gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 ResearcherID: C-2316-2011 Google Scholar: GqHWF74AAAAJ CV Lattes: 4609096963207702 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jacek.malec at cs.lth.se Thu Dec 28 08:49:47 2023 From: jacek.malec at cs.lth.se (Jacek Malec) Date: Thu, 28 Dec 2023 14:49:47 +0100 Subject: Connectionists: Assistant Professor position at Lund University, Semantic Systems and NLP, deadline 9th January Message-ID: Dear colleagues, The Robotics and Semantic Systems group at the Department of Computer Science, Lund University, has announced an Assistant Professor position (bitr?dande universitetslektor, BUL) in Computer Science with focus on semantic systems and natural language processing. The group (https://rss.cs.lth.se) is doing research in cognitive robotics and AI, including Machine Learning, Natural Language Processing, Human-Robot Interaction and Advanced Robotics. The group is part of the RobotLab LTH (https://robotics.lth.se). It is involved in a number of research centers and programmes, including WASP (Wallenberg Autonomous Software and Systems Programme, https://wasp-sweden.org), ELLIIT (Excellence Center at Link?ping ? Lund in Information Technology, https://elliit.se), LTH profile area: Pillars of AI and Digitalization and LU profile area: Natural and Artificial Cognition. The candidate is expected to have a PhD a couple of years old, preferably after a postdoc, planning to settle for the academic career in a vibrant university (with a fresh Nobel prize in house:-). Detailed information about the position may be found in the announcement: https://lu.varbi.com/what:job/jobID:654845/?lang=en The deadline for applying has been postponed until January 9th, 2024. You are welcome to contact me for more details. Jacek Malec, head of the RSS group -- Jacek Malec jacek.malec at cs.lth.se Department of Computer Science tel. +46 46 2224950 LTH, Lund University cell +46 70 4950474 Box 118, 221 00 Lund, Sweden http://cs.lth.se/Jacek_Malec/ When you send emails to Lund University, we process your personal data in accordance with existing legislation. To find out more about the processing of your personal data, visit the Lund University website: https://www.lunduniversity.lu.se/about/contact-us/processing-of-personal-data-at-lund-university From rskhorshidi at gmail.com Thu Dec 28 07:52:42 2023 From: rskhorshidi at gmail.com (Reza Khorshidi) Date: Thu, 28 Dec 2023 12:52:42 +0000 Subject: Connectionists: Call for application -- Oxford ML Summer School (OxML 2024) Message-ID: <5CDC78DA-30EB-4DA7-9CF9-4A64A4AADC07@gmail.com> Dear all, The application page for OxML 2024 is now open. Key information Dates: July 6-14, 2024 (Oxford Mathematical Institute + Virtual) Application deadline: 27 Feb 2024 Link to the application form: https://forms.gle/WjNykaMiaLXh2vWXA For more info, please visit the school?s website: www.oxfordml.school About OxML 2024 OxML is organised by AI for Global Goals , in partnership with CIFAR and The University of Oxford?s Deep Medicine Program. It will take place at the Mathematical Institute, University of Oxford , and online. OxML 2024 consists of three separate schools/modules: MLx Fundamentals (3-4 & 10-11 May, online): This module will provide all participants with the necessary background in fundamental theories and techniques behind modern ML. Representation Learning + Gen. AI (hybrid): This module will cover the advanced topics in deep learning (including, but not limited to generative AI) and its applications in language, vision, and more. Health+Bio (hybrid): In this, our speakers will cover the latest research and applications of ML in healthcare, biology, and more (e.g., ML in imaging, genomics, electronic health records (EHR), drug discovery, ... ). We aim to host ~250 participants in person (plus ~250 virtually) in each module. Note that, the MLx Fundamentals module will not have a selection/application process; everyone can register on a first-come-first-served basis. Speakers The school?s world-renowned speakers are from top ML research groups. The first group of speakers? bios and more details on their talks can be found on the school?s website ; more speakers will be announced in the coming weeks. You can follow the updates via our website, or Twitter and LinkedIn accounts. Target audience Everyone is welcome to apply to OxML 2024 regardless of their origin, nationality, and country of residence. Our target audience is (1) Ph.D. students with a good technical background whose research topics are related to ML, plus (2) researchers and engineers in both academia and industry with similar/advanced levels of technical knowledge. All applicants are subject to a selection process; we aim to select strongly motivated participants, who are interested in broadening their knowledge of the advanced topics in the field of ML/DL and their applications. Application You can find the application for the school here . Given the overwhelming number of applications we received in previous years, the application portal may close earlier than the deadline if the number of applications exceeds our capacity to review. Best, Reza Khorshidi, DPhil (Oxon) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Sat Dec 30 14:11:40 2023 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sat, 30 Dec 2023 20:11:40 +0100 Subject: Connectionists: MESS 2024 ~ autoDL meets HPC ~ 15-18 July 2024 Message-ID: <20231230201140.Horde.FwIPdeph4B9lkGtsN_inuZA@webmail.dmi.unict.it> 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/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 16th March 2024 ** MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general. The main theme of this edition 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. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LECTURERS + 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 + El-Ghazali Talbi, University of Lille1, France Lecture#1: TBA Lecture#2: TBA ~ More Lecturers will be announced soon ~ ** METAHEURISTICS COMPETITION 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 a manuscript 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. ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *March 16, 2020*. ** 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 - Mario Pavone, University of Catania, 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/ -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MESS 2024 - Metaheuristics Summer School 15-18 July 2024, Catania, Italy mess.school at ANTs-lab.it https://www.ANTs-lab.it/mess2024/ https://www.facebook.com/groups/MetaheuristicsSchool/ ========================================================= From dhansel0 at gmail.com Sun Dec 31 11:44:49 2023 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 31 Dec 2023 18:44:49 +0200 Subject: Connectionists: =?utf-8?q?World_wide_VVTNS_series=3A_2024_Inaugur?= =?utf-8?q?al_Lecture=2C_Wednesday=2C_January_3=2C_2024=2C_at_11=3A?= =?utf-8?q?00_am_ET=7C_Marc_M=C3=A9zard=2C_Bocconi_University=2C_Mi?= =?utf-8?q?lano?= In-Reply-To: References: Message-ID: https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Marc M?zard Bocconi University, Milano on the topic of "Matrix Factorization with Neural Networks" The lecture will be held on zoom on January 3, 2024, at *11:00 am ET * Register on the our website - https://www.wwtns.online -to receive the zoom link *Abstract:* The factorization of a large matrix into the product of two matrices is an important mathematical problem encountered in many tasks, ranging from dictionary learning to machine learning. Statistical physics can provide on the one hand theoretical limits on the possibility of factorizing matrices in the limit of infinite size, and also practical algorithms. While this program has been successful in the case of finite rank matrices, the regime of extensive rank (scaling linearly with the dimension of the matrix) turns out to be much harder. This talk will describe a new approach to matrix factorization that maps it to neural network models of associative memory: each pattern found in the associative memory corresponds to one factor of the matrix decomposition. A detailed theoretical analysis of this new approach shows that matrix factorization in the extensive rank regime is possible when the rank is below a certain threshold. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: