From akarargyris at gmail.com Thu Jan 1 09:32:52 2026 From: akarargyris at gmail.com (Alex Karargyris) Date: Thu, 1 Jan 2026 15:32:52 +0100 Subject: Connectionists: Request for Feedback: A Technical Policy Blueprint for Trustworthy Decentralized AI Message-ID: Dear All, We invite the ML community to contribute to the collaborative community effort for technical policies that aim to help unlock governance in decentralized AI settings. Specifically we welcome: 1. Feedback to our inaugural paper "Technical Policy Blueprint for Trustworthy Decentralized AI" (https://arxiv.org/abs/2512.11878) 2. Contribute use cases that can be further improved and enabled via technical policies Please email Alex Karargyris (alex at mlcommons.org) to request more information. *About the Technical Policy Blueprint*The majority of the world's data is stored in private settings. Decentralized AI (e.g. Federated Learning) can unlock AI development on such private data without sharing. However strong governance (e.g. data access/use controls, auditability, etc) is required to further unlock decentralized AI (e.g. scalability, easiness, protection,etc.). Our proposed collaborative blueprint introduces: ? *Policy-as-code objects*: Community-driven, machine-readable templates that encode AI governance requirements transparently ? *A Policy Engine *that verifies evidence (e.g., signatures, credentials, payment proofs, etc.) and issues capability packages ? *Asset Guardians* that simply verify and apply these packages?no reconfiguration needed when policies change. The key insight: Don't make every system understand every policy. Instead, create a Policy Engine that checks the evidence and issues a "capability package." Asset Guardians then just verify that package and grant access to digital assets. *This decoupling aims to make decentralized AI systems even more transparent, auditable, interoperable and resilient to change.* *About the Working Group*We are researchers and engineers from major technology companies and research institutions and we initiated "Technical Policy Blueprint for Trustworthy Decentralized AI" as an open collaborative community effort that aims to help with digital asset access/use through technical policies in decentralized settings. *About MLCommons* MLCommons is a non-profit consortium that aims to accelerate the benefits of machine learning and artificial intelligence. Our members and partners include over 125 organizations from around the world, many of which are leading technology companies, startups, academics, and nonprofits that are actively researching, developing, and deploying artificial intelligence products for customers. Critically, our founding membership includes academic researchers at the forefront of machine learning research, and the research community continues to be core to our membership helping to lead many of our working groups. MLCommons acts as a neutral nexus for commercial and non-commercial actors to collaborate on tools that advance the field. Sincerely, Alex Karargyris, PhD Co-Chair for Medical WG MLCommons -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Fri Jan 2 14:26:02 2026 From: xiao at gmu.edu (Xuesu Xiao) Date: Fri, 2 Jan 2026 19:26:02 +0000 Subject: Connectionists: [jobs] The RobotiXX lab at GMU is hiring postdoctoral researchers Message-ID: <5FDB5CC5-3F69-42DF-825E-DA3C16591D03@gmu.edu> Dear roboticists, the RobotiXX lab (https://robotixx.cs.gmu.edu/) at the Department of Computer Science, George Mason University in the Washington D.C. area is looking for postdoctoral researchers. The positions can start anytime from now and are expected to last one year, with possible renewal pending funding availability. At RobotiXX lab, we perform robotics research at the intersection of motion planning and machine learning, with a specific focus on deployable field robotics. A few of our recent focuses include, but are not limited to, off-road mobility and autonomy, social robot navigation, multi-robot coordination, vision-based navigation, self-supervised learning for robotics, task and motion planning, as well as human robot interaction. Candidates with relevant experience in robotics, motion planning, and machine learning are encouraged to apply. Hands-on knowledge in robotics hardware, field experience, and a good publication record is strongly preferred. The RobotiXX lab recently moved into a brand new, $254 million Fuse building in the heart of Arlington, VA (https://masonsquare.gmu.edu/fuse). The lab is 15-minute walk from DARPA and ONR and 20-minute drive from NSF, which provides good networking opportunities with federal program managers for future faculty remembers. The new 6,000 sqft lab features a two-floor, high-bay space with full motion capture coverage (2,533 sqft), a state-of-the-art robot maker space with ~$1 million fabrication equipment (1299 sqft), and a robot assembly / computer cluster room with GPU workstations dedicated to the lab's use (1,681 sqft). Fuse is also the home to many tech companies, fostering academia-industry collaboration right across the hallway from the lab (https://fuseatmasonsquare.com/). The selected candidates will conduct independent research to develop highly capable and intelligent mobile robots that are robustly deployable in the real world with minimal human supervision, publish papers in top-tier robotics conferences and journals, and advise graduate and undergraduate students in the RobotiXX lab. To apply, please send a single PDF of the following documents to Dr. Xuesu Xiao, Assistant Professor (xiao at gmu.edu): 1. cover letter, 2. curriculum vitae, 3. three references, 4. relevant publications, 5. other relevant materials, with the subject line ?[postdoc] YOUR AFFILIATION - YOUR NAME?. For more information, please see the lab?s website (https://robotixx.cs.gmu.edu/), research statement (https://cs.gmu.edu/~xiao/xuesu_website_files/Research_Statement.pdf), and YouTube Channel (https://www.youtube.com/channel/UCCePdJzWg35eml4WRGkX3GQ). Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://people.cs.gmu.edu/~xiao/ https://robotixx.cs.gmu.edu/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1584 bytes Desc: not available URL: From pubconference at gmail.com Fri Jan 2 11:26:16 2026 From: pubconference at gmail.com (Pub Conference) Date: Fri, 2 Jan 2026 11:26:16 -0500 Subject: Connectionists: WCCI-IJCNN 2026 Special Session: #SS2, "Remote Sensing and Hyperspectral Image Classification" Message-ID: Dear Colleagues, We are organizing a Special Session for WCCI-IJCNN 2026 on papers related to remote sensing and hyperspectral imaging. The prestigious conference will be held in Maastricht, the Netherlands, from June 21-26, 2026. Topics of interest include, but are not limited to: - Semantic Segmentation of Remote Sensing Images - SAR Image Segmentation - Hyperspectral Image Classification - Graph Learning - Machine Learning and Deep Learning - Applications of Hyperspectral Image Classification All accepted papers will be included in the WCCI 2026 proceedings, which will be published in the IEEE Xplore Digital Library. The submission portal is: https://ssl.linklings.net/conferences/WCCI/. Please select *?IJCNN SS02: Advances in Machine Learning and Deep Learning for Hyperspectral Image Classification.?* *Submission deadline:* January 31, 2026 (no extensions will be granted). -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Fri Jan 2 12:33:46 2026 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries (staff)) Date: Fri, 2 Jan 2026 17:33:46 +0000 Subject: Connectionists: Review of 2025 in neuroscience Message-ID: My regular review of the year in neuroscience is up on The Spike: https://medium.com/the-spike/2025-a-review-of-the-year-in-neuroscience-b062c55a8831 The tenth of these, would you believe? Enjoy! Mark Professor Mark Humphries | Professor of Computational Neuroscience Office hours: Calendar Lab: humphries-lab.org Connect: Bluesky / LinkedIn / X Essays on the brain and science: drmdhumphries.medium.com Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback, paperback, ebook & audiobook read by Anand Jagatia 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 david at irdta.eu Sat Jan 3 03:09:58 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 3 Jan 2026 09:09:58 +0100 (CET) Subject: Connectionists: AIces 2026: early registration January 17 Message-ID: <1916450519.265581.1767427798902@webmail.strato.com> ****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto ? Maia, Portugal March 30 ? April 2, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: January 17, 2026 ****************************************************** SCOPE: AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI. The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education. The event will consist of 10 courses, 2 keynote lectures, 3 symposia collecting short contributions from participants, and 3 open thematic debate sessions. 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, AIces 2026 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: AIces 2026 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: 2 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. 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. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: Ricardo Baeza-Yates (Barcelona Supercomputing Center), [introductory] Introduction to Responsible AI Susan Brennan (Stony Brook University), [introductory/advanced] Where Are the Humans in Human-Centered AI? Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI SYMPOSIA: A symposium will collect 10-minute voluntary presentations on any of the 3 thematic areas of the event: cognition, ethics, and society. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david at irdta.eu by February 28, 2026. Only registered participants can contribute to symposia. OPEN DEBATES: Open debate sessions will be organized for each of the 3 thematic areas of the school: cognition, ethics, and society. A 2-page expression of interest to lead the respective session including the topics to be debated, the structure, call for contributions, and dynamics of the session must be sent to david at irdta.eu by December 30, 2025. Only registered participants are eligible for leading a debate session. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 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 in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. 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, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Jan 4 03:50:16 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 4 Jan 2026 09:50:16 +0100 Subject: Connectionists: Fwd: [seminar.wwtns] World wide VVTNS series (6th season): Wednesday, January 7, 2025, at 11:00 am ET - Carlos Brody, Princeton Neuroscience Institute In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the VVTNS 2026 opening lecture Carlos Brody Princeton Neuroscience Institute on the topic of *Towards using large-scale, cross-brain neuronal recordings * *to identify the brain?s internal signals* to identify the brain?s internal signals The lecture will be held on zoom on January 7, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Neural activity is often analyzed with respect to external referents, such as the onset of a sensory stimulus or an overt motor action. Simultaneous recordings allow referencing neurons? activity to each other and thus detecting signals that are internal to the organism. Further, multi-region simultaneous recordings allow observing how these internal signals are coordinated across the brain. Following this logic in rats performing a perceptual decision-making task, we recorded simultaneously from thousands of neurons across up to 20 brain regions at once. Here we report two internal signals which we found to profoundly shape decision-related neural dynamics and brain states. First, we decoded the continuously evolving decision state separately from each region, and found surprisingly large magnitude co-fluctuations in these measures. Dimensionality analysis showed these to be dominated by a single state variable, suggesting that only a single decision-making computation, not multiple parallel computations, are being carried out during the analyzed period. Second, we found that the precise time the subject commits to a decision ? a covert event that we decoded from large-scale neural activity in primary motor cortex ? was accompanied by a coordinated change, across the brain, from a decision formation to a post-commitment state. The two states differ substantially in their choice-predictive neural dynamics and in their inter-region correlations. Therefore, knowing the time of this state change on single trials is needed to correctly parse fundamentally different phases of decision-making. Overall, our data suggest that internally-referenced signals and state changes, not timelocked to external events but detectable through simultaneous recordings, are major features of neural activity during cognition. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From barna_iantovics at yahoo.com Sun Jan 4 06:43:00 2026 From: barna_iantovics at yahoo.com (Barna Iantovics) Date: Sun, 4 Jan 2026 11:43:00 +0000 (UTC) Subject: Connectionists: Call for papers - Special Issue: Advances in Intelligent Systems, Technologies and Applications References: <1876861277.3483098.1767526980742.ref@mail.yahoo.com> Message-ID: <1876861277.3483098.1767526980742@mail.yahoo.com> Call for papersSpecial Issue: Advances inIntelligent Systems, Technologies and ApplicationsJournal: Applied Sciences (ISSN2076-3417) Impact Factor 2.5Submission?https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, You are kindly invited tocontribute with a paper to the Special Issue. Intelligence in nature is verydiverse; it can be discussed in terms of the intelligence of chimps, dolphins,and many other animals and even the collective intelligence of very simple lifeforms such as ants. The concept of intelligence is being adopted in manydomains of science. >From practical and theoreticalperspectives, an essential current research direction that is under examinationby a very large number of scientists worldwide is the development of artificialsystems, also called agent-based systems, which can be either individual agentsor cooperative multiagent systems. These systems are embedded in theenvironment, possess a certain degree of autonomy, and are capable ofperceiving the environment and executing actions in it. Intelligence inagent-based systems can emerge through advanced problem-solving abilities. Todevelop these intelligent systems, techniques such as supervised learning andunsupervised learning play pivotal roles. Supervised learning involves trainingsystems on labeled datasets, enabling them to map inputs to outputs and improvetheir predictions or classifications over time. These methods are extensivelyused in applications such as image recognition, natural language processing,and medical diagnosis. On the other hand, unsupervised learning enables systemsto identify patterns and structures in unlabeled data, facilitating clustering,anomaly detection, and exploratory data analysis. A more recent paradigm,retrieval-augmented generation (RAG) and cache-augmented generation (CAG),combines retrieval- and cache-based methods with generative models to enhanceintelligent systems, producing highly contextualized and accurate responses oractions. These approaches are instrumental in developing advanced systems fordomains such as conversational AI, knowledge management, and decision support.Intelligent agent-based systems have many real-world applications, includingthe health sciences and industry. The number and diversity of intelligentsystems are increasing rapidly. In this context, the great challenge consistsof creating increasingly intelligent systems. Another critical challenge,approached by only a few researchers worldwide, is the development of universalmetrics, including black-box-based intelligence metrics, to measure theintelligence of these systems. Such advances could allow for the comparison ofsystems based on their intelligence. In cooperative multiagent systems,intelligence can be assessed at the system level; this is known as collectiveintelligence. Even in very simple cooperative multiagent systems, agents mayinteract nonlinearly at various decision points, resulting in emergentcomplexity and intelligence at the system level. This Special Issue aims toestablish a solid foundation for future research through a collection of papersthat advance the field by elaborating on theories, designing applications, andpresenting surveys regarding the next generation of increasingly intelligentsystems. The areas of research covered in these papers could include the studyof self-organization, emergence, hybridization, scalability, robustness,measuring machine intelligence, and the integration of advanced paradigms suchas supervised learning, unsupervised learning, retrieval-augmented generation,and cache-augmented generation. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. L?szl? Kov?csDr. Attila Bir? -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.rougier at inria.fr Sun Jan 4 08:27:51 2026 From: nicolas.rougier at inria.fr (Nicolas P. Rougier (inria)) Date: Sun, 04 Jan 2026 14:27:51 +0100 Subject: Connectionists: What can you do with 1000 neurons? Task 3 Message-ID: Dear all, The second task (cued decision) is still unsolved but the the challenge is still running with a new task (valued decision) as well as a new agenda. You'll find instructions at https://github.com/rougier/braincraft and the rules for the new task. Reminder: you have have 1000 neurons (leaky rate models), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constraints. Best, Nicolas Rougier. -- Nicolas P. Rougier ?? www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux From barna_iantovics at yahoo.com Sun Jan 4 06:46:27 2026 From: barna_iantovics at yahoo.com (Barna Iantovics) Date: Sun, 4 Jan 2026 11:46:27 +0000 (UTC) Subject: Connectionists: Call for papers - Computational biomimetics methods in drug design: Theory, Applications, and Future Directions References: <1785879646.3488291.1767527187250.ref@mail.yahoo.com> Message-ID: <1785879646.3488291.1767527187250@mail.yahoo.com> Call for papersSpecial Issue:Computational biomimetics methods in drug design: Theory, Applications, andFuture DirectionsJournal: Biomimetics(ISSN 2313-7673). Impact Factor 3.9Submission?https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, You are kindly invited tocontribute to a paper to this special issue. ?? ? ??Computational biomimetics (CB) methodsdeveloped in the frame of artificial intelligence (AI) and machine learning(ML) are rapidly evolving technologies that are transforming variousindustries. CB enables machines/systems to exhibit human-like intelligence,offering these machines many opportunities to learn from experience. ThisSpecial Issue aims to explore the theoretical foundations, broad range ofapplications, and future directions of CB. Theoretical research can includeideas such as new algorithms and optimization techniques, while applicationscan range from drug design to discovery. Additionally, topics on ethics andsecurity aim to enhance societal impact and the reliability of CB drug designand discovery. This Special Issue seeks to uncover the potential andlimitations of CB, encouraging innovative research and applications in thefield of interest. ??? The purpose of this Special Issue isto discuss recent advancements and innovative applications in the fields ofcomputational biomimetics. With a broad scope, it will cover the application ofCB across various disciplines related to drug discovery and design. Guest Editors,Prof. Dr. Laszlo BarnaIantovicsAssociate prof. dr. Fatih OzyurtAssociate prof. dr. Ale? Zamuda ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From alban.gallard at u-picardie.fr Mon Jan 5 03:18:34 2026 From: alban.gallard at u-picardie.fr (Alban Gallard) Date: Mon, 05 Jan 2026 09:18:34 +0100 Subject: Connectionists: Postdoctoral_Position_fMEG-OPM Message-ID: <20260105091834.Horde.O-scBU_huoquj21llapCwIz@webmail.u-picardie.fr> The GRAMFC in Amiens (France) is hiring a postdoctoral researcher to work on fetal and premature newborn magnetoencephalography to investigate brain signal and characterize the spontaneous activity and auditory neural responses in the course of development. Interested candidates can find more information and instructions on how to apply here: https://gramfc.u-picardie.fr/postdoc-positions/ From viktor.jirsa at univ-amu.fr Mon Jan 5 03:11:58 2026 From: viktor.jirsa at univ-amu.fr (Viktor Jirsa) Date: Mon, 5 Jan 2026 09:11:58 +0100 Subject: Connectionists: =?utf-8?q?Call_for_Contributions_to_the_EBRAINS_1?= =?utf-8?q?0-Year_Roadmap_2026=E2=80=932036?= Message-ID: Dear colleagues, dear friends, Please allow me to extend my best wishes to you and your families for 2026. I wish to draw your attention to the European call for contributions to the EBRAINS 10-Year Roadmap in digital neuroscience. The call for contributions to the EBRAINS Roadmap aims to gather strategic input from the scientific, clinical, industrial, and policy communities to shape EBRAINS? long-term vision, priorities, and services. It ensures that the roadmap reflects real user needs, emerging technologies, and societal impact, guiding EBRAINS? evolution as a sustainable European research infrastructure. In this sense, your input will be critical. Please find the call information here below. Best regards, Viktor --------------------------------- EBRAINS is pleased to announce a call for contributions to the EBRAINS 10-Year Roadmap 2026?2036. This call is the first major step in a community-driven process that will define the scientific, clinical and technological priorities guiding the evolution of EBRAINS as Europe?s digital research infrastructure for neuroscience. Purpose and Vision EBRAINS invites the neuroscience, clinical, and technology communities to co-create the EBRAINS 10-year Roadmap 2026?2036 ? a shared vision and implementation plan for the next decade of digital neuroscience in Europe. This roadmap aims to identify the scientific, clinical, and technological priorities that will guide EBRAINS as a European research infrastructure. We seek visionary yet concrete proposals that define science that cannot be done elsewhere ? projects, capabilities, or collaborations uniquely enabled by EBRAINS? data, models, compute, and federated ecosystem. Proposed activities should make full use of the EBRAINS suite of digital tools and services. The call presentation by?Prof. Viktor Jirsa, EBRAINS Chief Scientific Officer, will take place at the?EBRAINS Summit 2025 - Transforming Brain Research and Medicine ?on?December 10, 11h10?11h45 CET. Key actions and timeline Official launch of the roadmap process at the EBRAINS Summit 2025 December 10, 2025 Submission deadline for proposals March 1, 2026 EBRAINS Strategy Symposium Q2 2026 Publication of Roadmap Contributions April 15, 2026 Synthesis into the EBRAINS 10-Year Roadmap (approximately 10 pages) Q4 2026 Adoption of the Roadmap by EBRAINS governance as EBRAINS? official strategic framework Q1 2027 We are looking forward to your proposals and your participation to the call presentation at the EBRAINS Summit on?December 10, 11h10?11h45 CET. Contributing to the?EBRAINS 10-year Roadmap?means taking part in defining the next decade of neuroscience -?not as an observer, but as an architect. Find out more HERE about the purpose of EBRAINS 10-Year Roadmap, who can contribute, format of contributions, why participate, review and integration process, review criteria. Kind regards, Viktor Jirsa, Katrin Amunts, Philippe Vernier on behalf of the EBRAINS Management Board ebrains-roadmap at ebrains.eu ? Viktor Jirsa Directeur, Institut de Neurosciences des Syst?mes Chief Scientific Officer, EBRAINS AISBL UMR INSERM 1106 Aix-Marseille Universit? Facult? de M?decine, 27, Boulevard Jean Moulin 13005 Marseille, France tel : ++33 (0)4 91 32 42 51 http://ins-amu.fr http://ebrains.eu https://www.thevirtualbrain.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1545 bytes Desc: not available URL: From antona at alleninstitute.org Mon Jan 5 11:50:26 2026 From: antona at alleninstitute.org (Anton Arkhipov) Date: Mon, 5 Jan 2026 16:50:26 +0000 Subject: Connectionists: Allen Institute Modeling Software Workshop 2026 - and a brief survey Message-ID: Dear Colleagues, Happy New Year! It is that time of year again when we are asking for your thoughts about modeling and simulation software. Could you please help us understand what the field needs by filling out this brief survey? That will be very helpful to guide our work (and is required by the NIH). Also, consider joining us for the Allen Institute Modeling Software Workshop on July 20-22, 2026 at the Allen Institute in Seattle, WA! This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Applications are due March 15th, 2026. Selected applicants will be notified by May 1, 2026. Limited travel funding is available. And another exciting event is happening on January 27 in Singapore: the Neuro for AI & AI for Neuro workshop at the AAAI 2026 conference. Join us for a day of talks, posters, and discussions about cutting-edge research at the intersection of Neuro and AI. We are looking forward to hearing from you. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona at alleninstitute.org alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Mon Jan 5 04:54:00 2026 From: announce at ucy.ac.cy (Announce) Date: Mon, 5 Jan 2026 09:54:00 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Last Call for Demos & DC & T Message-ID: *** Last Call for Demos, DC and Tutorials *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial submission of 1800 abstracts. This is by far the highest number of submissions (around 50% more than the previous highest number) in the 25 years of AAMAS. We still welcome submissions to the Demo Track, the DC Track as well as for tutorials. The Demo Track allows participants from both academia and industry to showcase their latest developments in agent-based and robotic systems. The DC (Doctoral Consortium) is an opportunity to interact closely with established researchers in your field as well as other PhD students to receive feedback on your work and to get advice on managing your career. Tutorials will be half-day long and will be in person ? online/remote versions will not be accepted. A few full-day tutorials may be considered, but the proponents need to motivate their request when submitting their proposal. More information about the above calls, is available on the AAMAS 2026 web site. Important Dates (AoE) Demo Track ? Submission Deadline: January 9, 2026 ? Author Notification: February 6, 2026 ? Camera-Ready Deadline: February 25, 2026 ? Author Registration Deadline: March 31, 2026 ? Demonstrations: May 27-29, 2026 Doctoral Consortium ? Abstract Deadline: January 19, 2026 ? Submission Deadline: January 23, 2026 ? Author Notification: February 23, 2026 ? Camera-Ready Deadline: March 2, 2026 ? Author Registration Deadline: March 31, 2026 Tutorials ? Proposal Submission: January 16, 2026 ? Organiser Notifications: January 30, 2026 ? Tutorial Site Online: March 4, 2026 ? Tutorial Forum: May 25-26, 2026 Organizing Committee AAMAS 2026 General Chairs ? Viviana Mascardi, University of Genova, Italy ? John Thangarajah, RMIT University, Australia AAMAS 2026 Program Chairs ? Chris Amato, Northeastern University, United States of America ? Louise Dennis, University of Manchester, United Kingdom AAMAS 2026 Local Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus (Chair) ? Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurent.perrinet at univ-amu.fr Mon Jan 5 11:57:55 2026 From: laurent.perrinet at univ-amu.fr (PERRINET Laurent) Date: Mon, 5 Jan 2026 16:57:55 +0000 Subject: Connectionists: PhD Position in Computational & Systems Neuroscience (Marseille, France) : Neuromodulatory control of predictive processing in visual cortical circuits Message-ID: <9785B3F2-E09B-4580-9861-7B68360D7DD0@univ-amu.fr> ? PhD Position in Computational & Systems Neuroscience (Marseille, France) : Neuromodulatory control of predictive processing in visual cortical circuits ?? Deadline: January 28, 2026 We are recruiting a PhD student to work on neuromodulatory control of predictive processing in mouse vision, co-supervised by Ede Rancz (INMED) and myself. Project Overview This CENTURI project combines: * Computational modeling (spiking and normative models) * In vivo electrophysiology, imaging, behavior, and optogenetics * Investigation of how serotonin and noradrenaline shape prediction error signaling during sensory-motor mismatch Candidate Profile * Motivated individual with a background in neuroscience or computational sciences * Experience in either experimental in vivo work or modeling (Python, neural networks) * Interest in working at the interface of theory and biology Application Details ? Full project description [centuri-livingsystems.org] ?? Application form [centuri-livingsystems.org] [:rainbow_heart:] We welcome applicants from all backgrounds and celebrate diversity and free creative thinking in our research environment. Please share this opportunity or contact us directly if you know strong candidates who would thrive in this interdisciplinary environment. Best regards, Laurent PerrInet Discuss it there: https://laurentperrinet.github.io/post/content/post/2026-01-28-phd-position-neuromodulatory-predictive-processing https://bsky.app/profile/ederancz.bsky.social/post/3mbot3n2uzk2e https://www.linkedin.com/posts/ede-rancz-8a68b5_phd-position-in-computational-systems-activity-7413972661300510720-FKAu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2026PhDAd.pdf Type: application/pdf Size: 144394 bytes Desc: 2026PhDAd.pdf URL: From hocine.cherifi at gmail.com Tue Jan 6 04:09:18 2026 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 6 Jan 2026 10:09:18 +0100 Subject: Connectionists: Apply Now: ISCS 2026 Awards for Early-Career Researchers in Complex Systems Message-ID: ISCS invites applications for the *Bertalanffy Doctoral Student Award* and the *Thom Young Researcher Award*, recognizing outstanding early-career researchers in *Complex Systems*. ? *Bertalanffy Doctoral Student Award* (for Ph.D. candidates under 30) ? Details & Application ? *Thom Young Researcher Award* (for researchers ?5 years post-Ph.D., under 35) ? Details & Application ? *Deadline:* March 11, 2026 ? *Prizes:* ?500 (Doctoral) / ?1,000 (Young Researcher) + ISCS 2026 presentation opportunity ? *Don?t miss this chance to showcase your research in Complex Systems at *ISCS 2026 *Apply now!* Best, Join us at COMPLEX NETWORKS 2025 *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Universit? Bourgogne Europe Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Evolutionary Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Tue Jan 6 06:15:04 2026 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 6 Jan 2026 16:45:04 +0530 Subject: Connectionists: Extn of deadline-ISMSI 2026 (Philippines) Message-ID: Dear friends and esteemed colleagues, This is to let you know that on numerous requests on account of holidays, the deadline for submissions of manuscripts for 2026 10th ISMSI, an annual international event of IICCI, to be held in Cebu City, Philippines, has been extended till 15th February, 2026 https://www.ismsi.org/index.html Hope it will help. Thanks and with regards, Suash Deb General Chair, ISMSI 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Tue Jan 6 03:07:14 2026 From: el-ghazali.talbi at univ-lille.fr (El-Ghazali Talbi) Date: Tue, 6 Jan 2026 09:07:14 +0100 Subject: Connectionists: Deadline extended OLA'2026 @Creta (Greece) Message-ID: <837cb247-16d1-49f5-b055-49ba2814cfe4@univ-lille.fr> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ? ? ? ? ? ? ? ? ? ? ? ? ? OLA'2026 ? ? ? ? ? International Conference on Optimization and Learning ? ? ? ? ? ? ? ? ? ? ? ? ? 28-30 April 2026 ? ? ? ? ? ? ? ? ? ? ? ? ?Chania, Crete, Greece ? ? ? ? ? ? ? ? http://ola2026.sciencesconf.org/ ? ? ? ? ? ? ? ? ? ? SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2026 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2026 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -? ? ? ?S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -? ? ? ?S2: Original research contributions of a maximum of 12 pages -? ? S3: High-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication Important dates: =============== Paper submission deadline extension? ? Jan 16, 2026 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- *********************************************************************** OLA'2026 10th International Conference on Optimization and Learning (SCOPUS, Springer) April 28-30, 2026, Creta, Greece, https://ola2026.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS From stdm at zhaw.ch Tue Jan 6 05:38:42 2026 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Tue, 6 Jan 2026 10:38:42 +0000 Subject: Connectionists: [CfP deadline approaching] SDS2026 - The 13th IEEE Swiss Conference on Data Science and AI Message-ID: Dear colleague, We are pleased to invite you to submit your work to the 13th IEEE Swiss Conference on Data Science and AI (SDS2026), which will take place on May 6-7, 2026, in Z?rich, Switzerland. Abstract Registration Deadline: January 23, 2026 Paper Submission Deadline: February 01, 2026 Reviewer Feedback: until February 20, 2026 Option for a brief comment on reviewer Feedback: until February 23, 2026 Decision Notification: March 10, 2026 Conference: May 06, 2026 We invite original research submissions from the broad field of data science and artificial intelligence (AI) focusing on novelty, best practice and use case orientation. Submissions are required to demonstrate both scientific-technical depth and practical applicability, and may encompass methods along the full pipeline of data science and AI systems - from data acquisition and data management, through data analysis using machine learning and AI, to visualization, data product design, value creation, and the management of societal effects. Topics of Interest Topics include but are not limited to, the following key focus areas for 2026: * Large Language Models and Learning Methodology: Neural Architectures, World Models, Multimodal Models (Text, Image, Video), Pre-trained Foundation Models, Generative AI, Natural Language Processing (NLP), Question Answering, Retrieval-Augmented Generation (RAG), Agentic AI, Model Fine-tuning, Zero-shot Learning, Conversational AI, Data-Driven AI, Model Interpretability, and Trustworthy AI * Human-AI Interaction: Human-in-the-loop, Human-AI Teaming, Personalization and Contextualization, Explainable AI, Adversarial Attacks and Robustness, Data Privacy and Security, Data and Information Quality, Data Governance, Adaptive User Interfaces, Proactive AI Systems, and AI-Assisted Decision Making, Physical AI * Data-Driven Value Creation: Intelligence, Service Design and Operations, Smart Services, and Domain Specific Applications for Societal Challenges (e.g., Climate Change, Aging Population, Urban Planning and Smart Cities, Food Security and Agriculture, etc.), * AI and Society: Ethics, Fairness, Pro-Human AI, Accountability and Transparency, Sustainability, AI Regulation, AI Certification, Cybersecurity in Relation to Data Science, Business Models Data Science is a dynamic field. Therefore, we also welcome submissions that do not fit into any of the key focus areas, such as: Scientific Machine Learning, Data Exploration, Data Modeling and Visualization, Data Mining, Feature Selection, Pattern Recognition, Evolutionary Computing and Optimization, Fuzzy Computing, Digital Twins, Automated Hypothesis Generation, Predictive Analytics, Interdisciplinary Data Integration, Data Warehousing, Data Structures and Data Management, Information Retrieval, Information Integration, Big Data Applications, Data Quality for Trusted AI, etc. Submission Guidelines Submit at: https://easychair.org/conferences?conf=sds2026 * Full Paper: max. 8 pages incl. references, IEEE 8.5" x 11" two-column format. Present high-quality research contributions, including experiments, analysis, or system papers, as well as descriptions of application results. * Short Paper: max. 4 pages incl. references, IEEE 8.5" x 11" two-column format. Present late-breaking results, work in progress, follow-up extensions, application case studies, or evaluations of existing methods. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Concurrent submissions are strictly forbidden. SDS 2026 maintains the confidentiality of submitted material. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released. Review Process * Double-Blind Review: Each submission will undergo a thorough review by the international Scientific Program Committee, with multiple experts evaluating the papers based on established scholarly criteria. To ensure impartiality, authors must anonymize their submissions appropriately. Submissions that fail to meet this requirement will be desk rejected. * Decision by an Expert Panel: The international board of Program Co-Chairs will take the final decisions based on the external reviews. In special or borderline cases, the Program Co-Chairs will solicit additional meta-reviews and take brief author comments on the reviews into account to ensure fairness and consistency of the evaluation. Excellent content and presentation are mandatory for acceptance (acceptance rate 2025: 35%). * Commitment to Present: Submission of a paper implies the commitment of at least one author to register and present the paper at the conference (in English, as poster or talk). Publication Accepted papers will be published by the IEEE and included in the IEEE Xplore digital library. Policy on AI for Writing Assistance The use of AI assistants (e.g., ChatGPT, Copilot) in research, coding, or writing of the paper must be disclosed if it extended beyond pure language editing, brief input assistance, literature searches, or generating routine, low-novelty text. Best regards, The SDS2026 Scientific Co-Chairs Dr. Hella Bolck, Zurich University of Applied Sciences Dr. Kacper Sokol, University of Bristol Prof. Bernd Freisleben, University of Marburg Prof. Siegfrid Handschuh, University of St. Gallen Prof. Christoph Heitz, Zurich University of Applied Sciences Prof. Ata Kaban, University of Birmingham Prof. Daniel Keim, University of Konstanz Prof. Thilo Stadelmann, Zurich University of Applied Sciences Prof. Andrei Kucharavy, HES-SO Valais-Wallis -------------- next part -------------- An HTML attachment was scrubbed... URL: From Shengchen.Li at xjtlu.edu.cn Tue Jan 6 08:21:43 2026 From: Shengchen.Li at xjtlu.edu.cn (Shengchen Li) Date: Tue, 6 Jan 2026 13:21:43 +0000 Subject: Connectionists: New PhD Position Available Message-ID: <926317e9eae14a2a8f95df085435c321@xjtlu.edu.cn> [Apologies for cross-posting] Dear Community, Xi'an Jiaotong-Liverpool University (XJTLU), located in Suzhou, China, is offering four fully-funded PhD studentships in the exciting and rapidly growing field of machine listening and audio processing. Each project explores cutting-edge research areas including large audio models, audio enhancement, and trustworthy audio processing?providing students with the opportunity to work at the forefront of AI and audio technology. Detailed description of the projects can be found at https://shengchenli.notion.site/phd-2026. Successful candidates will be supervised by an exceptional international team led by Dr. Shengchen Li as primary supervisor, while Prof. Eng Gee Lim (Dean of Artificial Intelligence) and Prof. Qiufeng Wang (Head of Department of Intelligent Science) at XJTLU provide additional senior mentorship. Dr. Jacopo de Berardinis and Dr. Guangliang Cheng from University of Liverpool serve as co-supervisors, alongside Prof. Mark D. Plumbley (IEEE Fellow) from King's College London as external supervisor. This world-class supervision panel ensures you'll benefit from diverse expertise and numerous opportunities for international exchange throughout your PhD journey. Upon graduation, the candidate will be awarded a degree of PhD via University of Liverpool. We offer two types of studentships to provide different support with different flexibilities: two fee-waiver studentships that cover full tuition fees with potential living cost support while in China, and two full studentships that cover both tuition fees and a monthly maintenance allowance of 5,000 RMB in exchange for 200 hours of teaching assistance annually. Both options provide excellent financial support while you pursue groundbreaking research in a vibrant academic environment. All applicants should have (or expect to obtain) a first-class/upper-second-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction/Merit (or GPA equivalent 3.0) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.Non-native English speakers who did not graduate from an English-speaking country in the past two years must achieve an IELTS score of 6.5 (with a minimum of 5.5 in each component). Prospective students should prepare the following materials and complete the application form at https://shengchenli.notion.site/phd-2026. * CV (preferably with a photo) * Academic transcripts * Research proposal * Two reference letters * Proof of language proficiency (where applicable) * Other supporting materials The application deadline is February 15th (AoE time). Interviews are scheduled for Thursday, February 26th subject to further notifications of interview. For inquiries about these positions, please contact Dr. Shengchen Li (shengchen.li at xjtlu.edu.cn). Best wishes, Shengchen -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jan 6 07:54:04 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 6 Jan 2026 14:54:04 +0200 Subject: Connectionists: REMINDER - World wide VVTNS series (6th season): Wednesday, January 7, 2026, at 11:00 am ET - Carlos Brody, Princeton Neuroscience Institute In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the VVTNS 2026 opening lecture Carlos Brody Princeton Neuroscience Institute on the topic of *Towards using large-scale, cross-brain neuronal recordings * *to identify the brain?s internal signals* to identify the brain?s internal signals The lecture will be held on zoom on January 7, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Neural activity is often analyzed with respect to external referents, such as the onset of a sensory stimulus or an overt motor action. Simultaneous recordings allow referencing neurons? activity to each other and thus detecting signals that are internal to the organism. Further, multi-region simultaneous recordings allow observing how these internal signals are coordinated across the brain. Following this logic in rats performing a perceptual decision-making task, we recorded simultaneously from thousands of neurons across up to 20 brain regions at once. Here we report two internal signals which we found to profoundly shape decision-related neural dynamics and brain states. First, we decoded the continuously evolving decision state separately from each region, and found surprisingly large magnitude co-fluctuations in these measures. Dimensionality analysis showed these to be dominated by a single state variable, suggesting that only a single decision-making computation, not multiple parallel computations, are being carried out during the analyzed period. Second, we found that the precise time the subject commits to a decision ? a covert event that we decoded from large-scale neural activity in primary motor cortex ? was accompanied by a coordinated change, across the brain, from a decision formation to a post-commitment state. The two states differ substantially in their choice-predictive neural dynamics and in their inter-region correlations. Therefore, knowing the time of this state change on single trials is needed to correctly parse fundamentally different phases of decision-making. Overall, our data suggest that internally-referenced signals and state changes, not timelocked to external events but detectable through simultaneous recordings, are major features of neural activity during cognition. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From announce at ucy.ac.cy Tue Jan 6 04:22:12 2026 From: announce at ucy.ac.cy (Announce) Date: Tue, 6 Jan 2026 09:22:12 +0000 Subject: Connectionists: International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): First Call for Research Papers (2nd Round) Message-ID: *** First Call for Research Papers (2nd Round) *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://conf.researchr.org/home/variability-2026 The International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) invites high-quality contributions from researchers and practitioners in software engineering, systems engineering, and related disciplines focussing on a broad spectrum of methods, concepts, and tools for variability. VARIABILITY aims to be the premier forum for the exchange of ideas, experiences, and results in all aspects of software and systems variability management, reuse, software configuration, and customization. As software and systems become increasingly configurable, reusable, and adaptable, managing their variability across all lifecycle phases is more critical?and more challenging ?than ever. VARIABILITY 2026 seeks to bring together the diverse communities that address these challenges from theoretical, technical, and practical perspectives. VARIABILITY results from a merge of three prominent conferences focussing on software and systems variability, configuration and reuse: SPLC (the International Systems and Software Product Line Conference, 29 successful editions), VaMoS (the International Working Conference on Variability Modelling of Software-Intensive Systems, 19 successful editions), and ICSR (the International Conference on Systems and Software Reuse, 22 successful editions). VARIABILITY is by design open as a conference. It welcomes new fields of variability- intensive research, such as artificial intelligence, hybrid software-hardware systems, etc. For this first edition of VARIABILITY, we strive to continue the success of the predecessor conferences ICSR, SPLC, and VaMoS by welcoming high-quality submissions for the research track in numerous closely related areas, such as systems and software product lines, systems and software reuse, configurable systems and software, product configuration, and systems and software variability. We will award the best research paper and the best artifact paper. Topics of Interest We invite contributions on variability management, reuse, and configuration across all phases of the software and systems lifecycle. The topics of interest include, but are not limited to: Requirements & Domain Engineering ? Domain analysis and variability modeling ? Decision modeling and support ? Customization and personalization specification ? Requirements variability and traceability Architecture & Design ? Variability-aware software architectures ? Architecture-centric product line engineering ? Model-driven engineering (MDE) ? Multi-product lines, program families, product lines of product lines, software ecosystems Implementation & Code Generation ? Generative programming and code synthesis ? Modularization techniques for reusable code ? Programming languages and frameworks for variability ? Open-source strategies for software reuse Testing, Verification & Quality Assurance ? Testing and analysis of configurable systems ? Safety and security in variable systems ? Formal Methods for Software Product Lines ? Non-functional properties: quality-aware analysis, quality-driven configuration ? Reuse in testing, verification, and quality assurance Evolution, Maintenance & Operation ? Refactoring and restructuring of configurable systems ? Reverse engineering, variability mining, and refactoring ? Runtime variability and dynamic (software) product lines ? Maintenance strategies for large-scale reused systems ? Variability in DevOps and CI/CD pipelines AI and Data-Driven Methods ? Machine learning for variability management ? AI-assisted product configuration ? Data and repository mining from product lines and configuration histories ? Recommendation systems for reuse and customization Publication of Proceedings Accepted papers will be published in the VARIABILITY 2026 proceedings by Springer in the LNCS series. Submission Guidelines Paper Types We invite the following types of submissions: ? Full Papers (up to 18 pages excluding references): Research papers must present original, unpublished work with validated results through empirical evaluation, formal analysis, or implementation-based experiments. Submissions must clearly articulate the problem, its relevance, the proposed contribution, and validation results. ? Short Papers (6 - 8 pages excluding references): Short papers present early-stage research, novel ideas, or conceptual proposals that are not yet fully developed or validated but offer promising directions. These papers should articulate the vision, motivation, and potential impact. Formatting Papers must use the Springer LNCS template according to: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Springer provides author guidelines that should be consulted for further details: https://resource-preview-cms.springernature.com/springer-cms/rest/v1/content/19242230/data/v17 Submission Link Submissions should be made via Easy Chair, selecting the research track: https://easychair.org/conferences?conf=variability2026 Paper Originality, Double-Anonymous Policy, Reviewing All papers must be original and not under review elsewhere. Submissions will be double- anonymous and reviewed by at least three experts. Submissions will be evaluated based on their novelty, relevance, rigor, transparency, and presentation. Authors of submissions to the first deadline might be invited to submit a revision of their papers to the second deadline, which will be reviewed as a revision. Revisions Research-track papers can be submitted to the first or second cycle. In the first cycle, papers can receive the following decisions: accept, revision, or reject. Revision means that the reviewers believe that the paper has potential, but that its quality or contribution is not yet ready for publication. Such papers are offered lightweight shepherding by a community member, who is not necessarily a PC member or reviewer. Revised papers should be submitted to the second cycle together with a response letter, explaining how the reviewer comments were addressed. They are then reviewed by the same PC members. Papers rejected in the first cycle can be resubmitted in the second cycle, but need to contain an appendix ?Changes to First-Cycle Submission? at the end of the PDF (after references, regardless of the page limit) that lists the major changes in bullet-point format. Best Paper Awards Springer will sponsor the awards for bet papers with an overall amount of ?1000. Journal Special Issue Selected accepted papers will be invited to submit extended versions with at least 30% additional and original material, to be published in a special issue in a reputable Software Engineering journal (currently under negotiation). Important Dates (AoE) ? Paper Submission Deadline (2nd Round): 2 April 2026 ? Notification of Acceptance (2nd Round): 1 June 2026 ? Camera-Ready Deadline: 15 July 2025 ? Author Registration: 15 July 2025 Organisation General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Gilles Perrouin, FNRS & University of Namur, Belgium Research Track Chairs ? Thorsten Berger, Ruhr University Bochum, Germany ? Ina Schaefer, KIT, Germany Industry Track Chairs ? Shaukat Ali, Simula Research Lab and Oslo Metropolitan University, Norway ? Martin Becker, Fraunhofer IESE, Germany Journal First Track Chairs ? Mathieu Acher, University Rennes, Inria, CNRS, IRISA, France ? Xhevahire T?rnava, LTCI, T?l?com Paris, Institut Polytechnique de Paris, France Doctoral Symposium Track Chairs ? Rick Rabiser, LIT CPS, Johannes Kepler University Linz, Austria ? Iris Reinhartz-Berger, University of Haifa, Israel Demos and Tools Track Chairs ? Sandra Greiner, University of Southern Denmark, Denmark ? Leopoldo Teixeira, Federal University of Pernambuco Projects Showcase Chairs ? Daniel Struber, Chalmers, University of Gothenburg, Radbound University, Sweden ? Dalila Tamzalit, Nantes Universit?, France Hall of Fame Chairs ? Martin Becker, Fraunhofer IESE, Germany ? Goetz Botterweck, Lero - The Irish Software Research Centre and University of Limerick, Ireland ? Natsuko Noda, Shibaura Institute of Technology, Japan Workshops Chairs ? Lidia Fuentes, Universidad de Malaga, Spain ? Malte Lochau, University of Siegen, Germany Tutorials Chairs ? Loek Cleophas, Eindhoven University of Technology and Stellenbosch University, The Netherlands ? Mahsa Varshosaz, IT University of Copenhagen, Denmark Proceedings Chair ? Sophie Fortz, King's College London, UK Publicity Chairs ? Wesley Assun??o, North Carolina State University, USA ? Kentaro Yoshimura, Hitachi Ltd, Japan Local Organiser and Finance Chair ? George A. Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From alper.yegenoglu at rwth-aachen.de Tue Jan 6 03:12:42 2026 From: alper.yegenoglu at rwth-aachen.de (Alper Yegenoglu) Date: Tue, 6 Jan 2026 09:12:42 +0100 Subject: Connectionists: Special session in Generative, Foundation Models for Robotics: From Language and Vision to Embodied Action, at WCCI 2026 Message-ID: <7331fbed-e125-4dec-97d6-fe21515cb72b@rwth-aachen.de> Dear colleagues, We cordially invite you to submit your paper to the Special Session: "*Generative Foundation Models for Robotics: From Language and Vision to Embodied Action*", to be held at the *2026 IEEE World Congress on Computational Intelligence (WCCI 2026)*. *Website*: https://wccigenai2026.github.io This special session aims to bring together recent advances in generative and foundation models and their applications to robotics. Topics of interest include, but are not limited to: * Diffusion models for robot trajectory planning and control * Generative adversarial networks for robotic applications * Flow matching methods for robotic control * Language-guided robot manipulation and navigation * Meta-learning for adaptive robotic behaviors * Multi-task planning and execution * Transfer learning across robotic domains and environments * Generative imitation learning from human demonstrations * Generative design of robot morphologies * Co-evolution of robot structure and control * Curriculum learning with generative models * Constraint-aware generative planning *Organizers:* Erdal Kayacan (Paderborn University, Germany) Chen Qinyu (Leiden University, The Netherlands) Konstantinos Alexis (Norwegian University of Science and Technology, Norway) Guido de Croon (TU Delft, The Netherlands) Erdi Sayar (Paderborn University, Germany) Van Huyen Dang (Paderborn University, Germany) Alper Yegenoglu (Paderborn University, Germany) Adrian Redder (Paderborn University, Germany) *Paper Submission Deadline*:?31 January, 2026 (UTC-12) Kind regards, Alper -- Dr. *Alper Yegenoglu* Postdoctoral Researcher Automatic Control Group (RAT) University of Paderborn Warburger Str. 100 33098 Paderborn Germany *Office* P1.7.15.4 *Telephone* +49 5251 60-1898 *E-Mail* alper.yegenoglu at uni-paderborn.de *Web* https://en.ei.uni-paderborn.de/rat -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Jan 6 05:09:17 2026 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 6 Jan 2026 11:09:17 +0100 Subject: Connectionists: =?utf-8?q?Call_for_Papers_=26_Workshops_=7C_ISCS_?= =?utf-8?q?2026_=7C_June_03_=E2=80=93_05=2C_2026_=7C_La_Rochelle=2C?= =?utf-8?q?_France?= Message-ID: *? Call for Papers* - *Formats*: Long Papers (12p), Short Papers (8p), Extended Abstracts (3?4p) - *Deadline*: March 02, 2026 ? Submit here: https://cmt3.research.microsoft.com/ISCS2026/ - *Select ISCS 2026* ------------------------------ *?** Call for Workshops* Propose *interactive workshops* (full or half-day). - *Deadline*: January 26, 2026 ? Submit here: https://cmt3.research.microsoft.com/ISCS2026/ - *Select Workshop proposal* ------------------------------ ? *Website:*: https://iutdijon.u-bourgogne.fr/iscs/ Join us in advancing complex systems science! *ISCS 2025 Organizing Committee* Join us at COMPLEX NETWORKS 2025 *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Universit? Bourgogne Europe Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Evolutionary Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From jenny.benois-pineau at u-bordeaux.fr Tue Jan 6 07:43:25 2026 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Tue, 6 Jan 2026 13:43:25 +0100 Subject: Connectionists: Call for SS CBMI'2026 Message-ID: <63FF33DD-81A0-4C97-A6A4-AB92DE02184F@u-bordeaux.fr> ? Special sessions proposals at CBMI 2026 conference ? The 23rd edition of CBMI (https://cbmi2026.sciencesconf.org ), the conferenced endorse by IEEE and ACM SIGMM will be organized by the IRIT laboratory at University of Toulouse Capitole, Toulouse, France. CBMI conference aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to the following: audio and visual and multimedia analysis and indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis, ... CBMI 2026 aims to host special sessions during the conference. Special sessions are mini-venues, each focusing on topic within the content-based multimedia indexing field which is not directly covered by the list of topics for the conference, but which are beneficial to the community. It may cover a theoretical or and application-oriented questions. Special session should include four to five papers, which can be invited, or be regular submissions. Special session papers will supplement the regular research papers and be included in the proceedings of CBMI 2026. In order to ensure the high quality of all conference papers, all papers submitted to special sessions at CBMI 2026 will be peer-reviewed through a standard review process, including invited papers. The organizers of each special session must provide 1-2 reviews per submitted/invited paper, while the regular program committee will provide 1-2 reviews. Final decision on acceptance/rejection will be made in collaboration between the special session chairs (Julien Aligon, University of Toulouse Capitole, France - Jenny Benois Pineau, University of Bordeaux, France - Stefanos Vrochilis, Information Technologies Institute, Greece) and CBMI 2026 TPC chairs (Annamaria Mesaros, Tampere University, Finland - Alain Crouzil, University of Toulouse, France - Cathal Gurrin, Dublin City University, Ireland). ? Deadline ? Deadline for special session proposals: 24 February 2026 (AoE) Notification : 3 March 2026 (AoE) ? Submission process ? Proposals must be made using the following template: https://cloud.irit.fr/s/BzYJbHpx5RQ99I5 and sent to the following contact address: cbmi2026specialsession at irit.fr ? Special session chairs ? - Julien Aligon, University of Toulouse Capitole, France - Jenny Benois Pineau, University of Bordeaux, France - Stefanos Vrochilis, Information Technologies Institute, Greece Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux 351, crs de la Lib?ration 33405 Talence France tel.: +33 (0) 5 40 00 84 24 Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations School of Sciences and Technologies University of Bordeaux 351, crs de la Lib?ration 33405 Talence tel.: +33 (0) 5 40 00 84 24 -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Mon Jan 5 22:53:14 2026 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Mon, 5 Jan 2026 22:53:14 -0500 (EST) Subject: Connectionists: Joint junior faculty position in Computational Neuroscience, deadline 16 Jan 2026 Message-ID: <202601060353.6063rEe25313@calaf.cns.nyu.edu> The Graduate Center of the City University of New York (CUNY), and the Center for Computational Neuroscience at the Flatiron Institute, invite applications for a joint position, with start date of August 2026. We seek an innovative scholar whose research integrates computational approaches with empirical neuroscience to investigate the mechanisms underlying cognition. The ideal candidate will have a strong record of research in perception, planning, decision-making, memory, or animal communication and/or human language, and a doctoral degree in Physics, Math, Engineering, Neuroscience, Cognitive Science, Psychology, or Computer Science. The CUNY appointment will be in the M.S. Program in Cognitive Neuroscience. Responsibilities include research, teaching, mentoring, and service. The candidate is expected to generate an active, externally funded research program, and to participate in graduate teaching and research training. Teaching duties may include courses in computational methods and advanced courses in neuroscience. Candidates should demonstrate a commitment to interdisciplinary collaboration and to mentoring graduate students in a diverse and inclusive academic environment. The Flatiron appointment will be a Visiting Scholar position in the Center for Computational Neuroscience (CCN). Applications must be submitted to both positions - these can be identical, although applicants may wish to highlight specific aspects of their experience or interests in the cover later for each submission. Further details: https://cuny.jobs/new-york-ny/assistant-professor-ms-in-cognitive-neuroscience/51674D0A749E42818AB89D06270999B5/job/ https://www.simonsfoundation.org/flatiron/careers/?tab=job-openings¢er=ccn From Edgar.Galvan at mu.ie Tue Jan 6 12:40:51 2026 From: Edgar.Galvan at mu.ie (=?Windows-1252?Q?Edgar_Galv=E1n?=) Date: Tue, 6 Jan 2026 17:40:51 +0000 Subject: Connectionists: PhD - Maynooth University, Ireland Message-ID: Hi everyone, I?m seeking an outstanding student interested in pursuing a PhD on ?AI in Motion: Optimising Ireland?s Logistics Network? in the Department of Computer Science, Maynooth University, Ireland, subject to securing funding. Interested candidates should send a one-page cover letter and a one-page CV, highlighting any peer-reviewed publications. Thanks, -------------- next part -------------- An HTML attachment was scrubbed... URL: From cse.confe at gmail.com Wed Jan 7 03:11:44 2026 From: cse.confe at gmail.com (CSE Conference) Date: Wed, 7 Jan 2026 13:41:44 +0530 Subject: Connectionists: April 18 ~ 19, Melbourne, Australia << CSE 2026 >> Message-ID: *14th International Conference on Computational Science and Engineering (CSE 2026)* *April 18 ~ 19, Melbourne, Australia* https://cse2026.org/index *SCOPE* *14th International Conference on Computational Science and Engineering (CSE 2026)* focuses on Complex systems, information and computation using mathematics and engineering techniques. This conference will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area of Computation theory and applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced Computation and its applications will be covered during the conference. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. *Topics of interest* - Artificial Intelligence - Algorithms and Data Structures - Automata Theory - Big Data - Blockchain - Cloud Computing - Computational Complexity, Economics, Geometry - Computational Physics & Biology - Computational Science and Applications - Cryptography - Data Mining - Deep Learning - Information Theory - Internet of Things (IoT) - Machine Learning - Natural Language Processing - Networks & Communications - Parallel and Distributed Computing - Probabilistic Computation - Program Semantics and Verification - Quantum Computation - Robotics - Security - Signal & Image Processing - Software Engineering - Software Automation, Software as a Service (SaaS) - Theoretical Computer Science and Algebra *Paper Submission* Authors are invited to submit papers through the conference Submission System by *January 10, 2026*. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from *CSE 2026,* after further revisions, will be published in the special issue of the following journals ? International Journal of Computer Science & Information Technology (IJCSIT) ? INSPEC Indexed ? International Journal of Computer Science and Engineering Survey (IJCSES) ? International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) ? Advanced Computing: An International Journal (ACIJ) ? Information Technology in Industry (ITII) *Important Dates* ? *Submission Deadline: January 10, 2026* ? Authors Notification: March 14, 2026 ? Registration & Camera-Ready Paper Due: March 21, 2026 *Contact Us* Here's where you can reach us: cse at cse2026.org or conferencecse31 at gmail.com *Paper Submission Link*: https://cse2026.org/submission/index.php -- Thanks! *************************************** *Hevu Machathin* Secretary, *CSE 2026* 14th International Conference on Computational Science and Engineering (CSE 2026) https://cse2026.org/index WhatsApp (Text Messages Only): +61 04 33 497 197 *************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From graduateprograms at bccn-berlin.de Wed Jan 7 05:06:56 2026 From: graduateprograms at bccn-berlin.de (GraduatePrograms) Date: Wed, 7 Jan 2026 11:06:56 +0100 Subject: Connectionists: Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 14.01.26 Message-ID: <0c2f0f8b-52d2-492f-8e8b-11f435854b6b@bccn-berlin.de> Dear Connectionists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience next Wednesday, January 14th, at 3pm (CET). Attendees are welcome to join in person at the BCCN Berlin or virtually via Zoom. The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Dr. Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website for a more detailed schedule and registration link. Best regards and happy new year, Lisa Velenosi -- Dr. Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universit?t zu Berlin Philippstra?e 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093-98503 Tuesdays - Fridays; 9:00 - 14:00 -------------- next part -------------- An HTML attachment was scrubbed... URL: From elia.pacioni at hevs.ch Wed Jan 7 06:07:03 2026 From: elia.pacioni at hevs.ch (Pacioni Elia) Date: Wed, 7 Jan 2026 11:07:03 +0000 Subject: Connectionists: The 8th International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi-Agent Systems (EXTRAAMAS 2026) Message-ID: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=191272©ownerid=97632 Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 8th International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi-Agent Systems (EXTRAAMAS 2026) https://extraamas.ehealth.hevs.ch/ held in conjunction with: 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) in Paphos, Cyprus. https://cyprusconferences.org/aamas2026/ ************************************************************************************************************************************** Aim and Scope ============ The workshop aims to gather researchers interested in developing explainable approaches to artificial intelligence, in particular to explainable agency, learning, reasoning, and their intersections. Participants are invited to submit papers addressing whichever phase of explainability (e.g., generation, communication, and reception) fostering transparency in autonomous agents and Multi-Agent Systems (MAS), robots, and other intelligent systems. Compliance with such requirements is becoming necessary in most systems where agent-oriented approaches are increasingly employed. Important Dates: ============ Deadline for Submissions: 01 March 2026 Notification of acceptance: 25 March 2026 Camera-ready: 10 June 2026 Workshop day: 25-26 May 2026 Tracks: ============ - XAI in symbolic and subsymbolic AI: "XAI for Machine learning Explainable neural networks Symbolic knowledge injection or extraction Neuro-symbolic computation Computational logic for XAI Multi-agent architectures for XAI Surrogate models for sub-symbolic predictors Explainable planning (XAIP) XAI evaluation" - XAI in negotiation and conflict resolution: "Explainable conflict resolution techniques/frameworks Explainable negotiation protocols and strategies Explainable recommendation systems Trustworthy voting mechanisms Argumentation for explaining the process itself Argumentation for explaining and supporting the potential outcomes Explainable user/agent profiling (e.g., learning user's preferences or strategies) User studies and assessment of the aforementioned approaches Applications (virtual coaches, robots, IoT)" - Prompts, Interactive Explainability and Dialogue: "Interactive capabilities for XAI Arguments for persuasive explanations Context modelling User modelling Initiative handling Topic modelling Grounding and acknowledgement Prompt engineering Research methodology for LLM applications Responsible LLM applications" - (X)AI in Law and Ethics: "XAI in AI & Law Fair (X)AI XAI & Machine Ethics Bias reduction Deception and XAI Nudging and XAI Legal issues of XAI Liability and XAI XAI, Transparency, and the Law Enforceability and XAI Culture-aware systems and XAI" Chairs: ============ Davide Calvaresi, HES-SO, Switzerland Amro Najjar, University of Luxembourg, Luxembourg Kary Framling, Umea & Aalto University, Sweden/Finland Andrea Omicini, University of Bologna, Italy Track Chairs ============ Rehyan Aydogan, Ozyegin University, Turkey Giovanni Ciatto, University of Bologna, Italy Rachele Carli, UMEA, Sweden Simona Tiribelli, MIT & University of Macerata, USA/Italy Advisory Board: ============ Virginia Dignum, Umea University, Sweden Tim Miller, University of Melbourne, Australia Michael Ignaz Schumacher, HES-SO, Switzerland Leon van der Torre, University of Luxembourg Publicity Chair: ============ Elia Pacioni, HES-SO & University of Extremadura, Switzerland/Spain CFP link ============ https://extraamas.ehealth.hevs.ch/docs/CfP_EXTRAAMAS26.pdf Submission: ============ https://easychair.org/conferences/?conf=extraamas2026 All accepted papers can be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI). Participants are therefore invited to submit papers up to 16 pages (excl. references) in length (5 pages incl. references for demo papers), addressing the topics of the workshop. Papers must be edited using the LNCS format (applying the LNCS post-proceedings template) and have to be submitted electronically as PDF files via the EasyChair submission page. -- Elia Pacioni Publicity Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Wed Jan 7 10:16:03 2026 From: announce at ucy.ac.cy (Announce) Date: Wed, 7 Jan 2026 15:16:03 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): First Combo Call for Workshop Papers Message-ID: *** First Combo Call for Workshop Papers *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial submission of 1800 abstracts. This is by far the highest number of submissions (around 50% more than the previous highest number) in the 25 years of AAMAS. The conference will feature the following workshops with open calls for submission. Please visit the workshops' websites and/or contact their organisers for more details and important dates. 2nd Workshop on AI for Critical Infrastructure and Government (AI4CNI-26) https://sites.google.com/view/ai4cni-26/ Critical National Infrastructure (CNI) forms the backbone of modern society, yet its increasing complexity requires increasingly autonomous operation and makes it vulnerable to cascading failures and cyber-physical threats. The AI4CNI workshop explores the transformative potential of artificial intelligence and multi-agent systems to enhance the efficiency, resilience, and defense of vital services like energy, transportation, communication networks and healthcare. 18th International Workshop on Adaptive and Learning Agents (ALA) https://alaworkshop2026.github.io/ Adaptive and Learning Agents (ALA) brings together researchers working on learning, adaptation, and autonomous behaviour in single- and multi-agent systems. The workshop welcomes contributions from across computer science (including reinforcement learning, agent architectures, evolutionary computation, planning, and game theory) as as well as from related fields such as cognitive science, biology, economics, and the social sciences. Autonomous Robots and Multirobot Systems (ARMS) https://arms2026.di.unimi.it/ Robots are agents, too. Indeed, agents researchers often use robotics problems as motivating examples. Both practical and analytical techniques developed by agents researchers influence, and are influenced by, research in autonomous robots and multi- robot systems. Despite the overlap between the agents and robotics research areas, researchers from these communities only have a few opportunities to meet and interact. The Robotics Area of Interest in the main AAMAS conference (formerly, the ?Robotics Track?) is one such opportunity. The goal of this workshop is to build on this opportunity, offering an informal and dedicated forum where agents and robotics researchers can interact, discuss promising research directions and open problems, and foster further collaborations. Contributions are sought in all areas of robotics, in particular as related to autonomous agents research. Theoretical papers are welcome, as long as they clearly specify the connection to challenges in robotics. Empirical studies should ideally present experiments with real robots, though physical simulation studies are also acceptable. Papers that focus on mechanical aspects and low-level control should make an effort to relate this work to the agents community. 7th International Workshop on Agents for Societal Impact (ASI) https://panosd.eu/asi2026/ This workshop focuses on the design, analysis, and deployment of intelligent agents that contribute positively to society. As AI agents become increasingly autonomous and embedded in real-world systems, it is critical to ensure that their behavior aligns with human values and societal goals, rather than optimizing narrowly defined technical objectives. The workshop provides a forum to discuss how agent-based technologies can be responsibly applied to real-world societal systems, including (but not limited to): healthcare, education, climate, sustainability, conservation, public infrastructure, labor markets, governance and policy design, etc. The goal is to identify new MAS problems in societies, develop novel MAS solutions to resolve social challenges, and learn from the real-world deployment of MAS. 14th International Workshop on Agents in Traffic and Transportation (ATT 2026) https://sites.google.com/unimib.it/att2026/ The ATT 2026 workshop focuses on AI-driven modeling, simulation, control, and management of large-scale traffic and transportation systems. It addresses the challenges of distributed, autonomous, and data-rich mobility systems operating under uncertainty and societal constraints. The workshop invites contributions on multi-agent systems, machine learning, optimization, control, and data-centric AI approaches. Topics include autonomous and connected vehicles, intelligent traffic control, digital twins, shared mobility, and multi-modal transportation. Both theoretical advances and real-world applications enabling safe, robust, and scalable intelligent transportation are welcomed. Citizen-Centric Multi Agent Systems 2026 (C-MAS 2026) https://sites.google.com/view/cmas2026 Join us for the C-MAS 2026 workshop, where we explore citizen-centric AI and multiagent systems. In today?s world, large-scale AI systems hold the potential to tackle critical societal challenges, from decarbonising our energy system to facilitating on-demand mobility and improving disaster response. However, we often overlook the active role of citizen end users, treating them merely as data providers and service consumers. Our workshop aims to shift this perspective and explore innovative approaches that treat citizen end users as primary agents with diverse needs and preferences. By doing so, we can develop more trustworthy, fair, and widely accepted sociotechnical solutions to pressing societal challenges. 11th Workshop on Collaboration of Humans, Agents, Robots, Machines and Sensors (CHARMS 2026) https://charms2026.github.io/ Cyber physical systems (CPS) are becoming more involved in the lives of humans. All indications point to a future where many varieties of CPS and humans co-exist and, at a minimum, must interact consistently through life?s tasks. This workshop will explore ideas of the future to understand, discern and develop the relationship between humans and CPS and the practical nature of software agents to facilitate the integration. Causal Learning and Reasoning in Agents and Multi-Agent Systems (CLaRAMAS) https://claramas-workshop.github.io/claramas2026/ CLaRAMAS aims to foster cross-disciplinary exchange and synergistic collaboration between two complementary communities: the AAMAS community and the Causal Learning and Reasoning (CLR) community. The overarching goal is to bridge these domains by exploring the following open questions: How CLR techniques can enhance agent-based decision-making? How agent-oriented perspectives can leverage the operational deployment of CLR in real-world applications? Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi- Agent Systems (COINE) https://coin-workshop.github.io/coine-2026-paphos/ This workshop is an evolution of the COIN (Coordination, Organizations, Institutions and Norms in Agent Systems) workshop series that ran at various conferences including AAMAS (18 times), IJCAI (twice), AAAI in 2008 and ECAI in 2006 and 2016, and produced 17 volumes of post-proceedings in Springer?s Lecture Notes in Artificial Intelligence. The 18th volume of COINE post-proceedings is in progress. In 2020, ethics was added to the name and acronym (now COINE), and also the notion of governance of MAS was added to the full workshop title as this is the common objective uniting the various threads of research (coordination, organizations, etc.) undertaken. The workshop in the new format has been held six times (2020?2025). 14th International Workshop on Engineering Multi-Agent Systems (EMAS 2026) https://w3id.org/emas/2026/ EMAS 2026 builds on the long-standing tradition of the Workshop on Engineering Multi- Agent Systems, advancing the design, implementation, and deployment of autonomous agents and Multi-Agent Systems (MAS) through research on theories, architectures, languages, platforms, and methodologies. To engage with emerging augmented language models and agentic systems and build on decades of established MAS engineering approaches, this 14th edition focuses on Hybrid Agent Architectures and Multi-Agent Systems. We invite contributions covering the diversity of approaches to engineering agents and MAS: submissions may focus on established or emerging approaches, as well as hybrid approaches that integrate the two, exploring, among others, questions such as how elements from different agent architectures can be combined to create more capable agents, and how MAS can be designed to ensure interoperability, coordination, and governance among heterogeneous agents. 8th International Workshop on EXplainable, Trustworthy, & Responsible AI & Multi?Agent Systems (EXTRAAMAS 2026) https://extraamas.ehealth.hevs.ch/index.html The International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi- Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and forum. It aims to discuss and disseminate research on explainable artificial intelligence, with a particular focus on intra/inter-agent(ic) explainability and cross-disciplinary perspectives. In its 8th edition, EXTRAAMAS 2026 identifies four particular focus topics with the ultimate goal of strengthening cutting-edge foundational and applied research. The 8th Games, Agents, and Incentives Workshop (GAIW-26) https://gtep-workshops.github.io/gaiw2026/ Games, Agents and Incentives is a confederated workshop which focuses on agents and incentives in AI. In particular, it promotes approaches that deal with game theory (cooperative and non-cooperative), social choice, and agent-mediated e-commerce aspects of AI systems. The confederated workshop merges multiple workshops that have been associated with AAMAS in the past, which considered different aspects of the general interplay between AI and economics including CoopMAS, AMEC, and EXPLORE. 27th International Workshop on Multi-Agent-Based Simulation (MABS 2026) https://mabsworkshop.github.io/ MABS focuses on the confluence of social sciences and multi-agent systems, with a strong application/empirical vein, and it emphasizes, (i) exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences and (ii) using social theories as an inspiration for new frameworks and developments in multi-agent systems. MABS 2026 continues its tradition of fostering cross-fertilisation and innovation in MAS engineering and complex social and sociotechnical systems modeling. The workshop encourages submissions in areas such as simulation methodology and tools, simulation of social and intelligent behaviour, diverse applications, and simulation analytics. International Workshop on Autonomous Agents and Multi-Agent Systems for Space Applications (MASSpace) https://mas-space.github.io/aamas2026ws/ This workshop aims at disseminating and sharing recent advances in the use of agent- based and multi-agent-based models and techniques in the Space domain. Indeed, the use of agent-based and multi-agent systems (MAS) in aerospace and space is gaining traction, as they offer a promising approach for modeling and solving distributed, complex and dynamic problems. Sample applications notably include multiple spacecraft operations and maintenance, onboard-ground coordination, mission simulation, multi- mission operation, autonomous navigation, and collective robotics. NEurosymbolic eXplainable trUstworthy Systems (NEXUS) https://nexus.telecom-paris.fr/ The opacity of current deep learning models is a major barrier to adoption where accountability is essential. NEXUS focuses on neurosymbolic reasoning as a foundational approach to building theory, applications, and tools for well-calibrated and trustworthy autonomy. This paradigm moves beyond a narrow focus on formal logic, concerning itself with the integration of deep and reinforcement learning algorithms with a broad spectrum of structured knowledge. Workshop on Optimization and Learning in Multi-Agent Systems (OptLearnMAS) https://optlearnmas.github.io The goal of the workshop is to provide researchers with a venue to discuss models or techniques for tackling a variety of multi-agent optimization problems. We seek contributions in the general area of multi-agent optimization, including distributed optimization, coalition formation, optimization under uncertainty, winner determination algorithms in auctions and procurements, and algorithms to compute Nash and other equilibria in games. Of particular emphasis are contributions at the intersection of optimization and learning. This workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization and learning problems or problems that can be effectively solved by adopting a multi-agent framework. Rebellion and Disobedience in Artificial Intelligence (RaD-AI) https://sites.google.com/view/rad-ai/home Should intelligent autonomous agents always obey human commands or instructions? In some contexts, they should not. Most existing research on collaborative robots and agents assumes that a ?good? agent complies with the instructions it is given and works in a predictable manner under the consent of the human operator(s) it serves (e.g., it should never deceive its operator). Our RaD-AI workshop challenges this assumption; we will reconsider the desired abilities and responsibilities of collaborative agents. For example, these include exhibiting behavior that attempts appropriate and harm-preventing non- compliance (e.g., safety constraints in autonomous vehicles or training LLMs to avoid potentially harmful or norm-violating output), among others. Our agenda will include accepted submissions that describe novel (and/or survey existing) contributions, or propose new directions, related to RaD-AI in the context of intelligent social agents, human-agent interaction, and their societal effects, along with invited talks and other events. We warmly welcome participation from AAMAS-26 conference attendees! Strategic Engineering Workshop (SE) https://sites.google.com/view/se-aamas2026 Real-world interactions are messy; Game Theory is rigorous. Historically, connecting the two required expensive manual modeling. ?Strategic Engineering? seeks to automate this pipeline. We ask: How can LLMs serve as architects, translating everyday scenarios into the formal structures that Game Theory (GT) and Multi-Agent Systems (MAS) require? If we can automate the creation of the ?world model?, we can unlock the full power of classical GT/ MAS reasoning for any situation. We invite submissions that fuse the generative capabilities of LLMs with the reasoning power of GT/MAS, creating a new class of agents capable of navigating complex, strategic environments. Organizing Committee AAMAS 2026 General Chairs ? Viviana Mascardi, University of Genova, Italy ? John Thangarajah, RMIT University, Australia AAMAS 2026 Program Chairs ? Chris Amato, Northeastern University, United States of America ? Louise Dennis, University of Manchester, United Kingdom AAMAS 2026 Local Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus (Chair) ? Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.stafford at sheffield.ac.uk Wed Jan 7 11:22:21 2026 From: t.stafford at sheffield.ac.uk (Tom Stafford) Date: Wed, 7 Jan 2026 16:22:21 +0000 Subject: Connectionists: What can you do with 1000 neurons? Task 3 In-Reply-To: References: Message-ID: Dear Colleagues I am full of enthusiasm for Dr Rougier's competition. I wrote at more length about why in this piece for The Transmitter (published 5th Jan) https://www.thetransmitter.org/computational-neuroscience/the-1000-neuron-challenge Sadly the editor cut the line where I mentioned that I learnt about the competition via this very mailing list. I described a listserv as "an old way of communicating among scientists, not as clumsy or random as social media". I still think mailing lists have the elegance of a more civilised age Best wishes all, Tom On Sun, 4 Jan 2026 at 21:38, Nicolas P. Rougier (inria) < nicolas.rougier at inria.fr> wrote: > > Dear all, > > The second task (cued decision) is still unsolved but the the challenge > is still running with a new task (valued decision) as well as a new > agenda. You'll find instructions at > https://github.com/rougier/braincraft and the rules for the new task. > > Reminder: you have have 1000 neurons (leaky rate models), 100 seconds > of training time and 10 runs for evaluation. The difficulty comes from > the imposed constraints. > > Best, > Nicolas Rougier. > > -- > Nicolas P. Rougier ?? www.labri.fr/perso/nrougier > Institute of Neurodegenerative Diseases, Bordeaux > > -- -- NEWSFLASH - From 1st September 2025 to 31st August 2026 I will be on leave from the University of Sheffield. For work relating to the Research on Research Institute , you can reach me via my email there, or on hello at researchonresearch.org For questions relating to the MSc courses in the School of Psychology, please contact psypgt at sheffield.ac.uk For questions relating to Open Research or Research Practice please contact the new Research Practice Lead and UKRN Institutional Lead for the University of Sheffield on inst-sheffield at ukrn.org For the UKRN Institutional Leads group chair please contact il-chair at ukrn.org (I will continue to chair the UKRN IL group until my term expires in October 2025) For anything else, please contact psychology at sheffield.ac.uk Tom Stafford Professor of Cognitive Science University of Sheffield https://tomstafford.github.io/ Senior Research Fellow, Research on Research Institute https://researchonresearch.org/ --------------------------------------------------------------- 0 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefania.dellapenna at unich.it Wed Jan 7 12:03:07 2026 From: stefania.dellapenna at unich.it (Stefania Della Penna) Date: Wed, 7 Jan 2026 18:03:07 +0100 Subject: Connectionists: Online Workshop "THE PREDICTIVE ROLE OF CONNECTED DYNAMICAL SYSTEMS" Message-ID: Dear colleagues, join Us for the International Online Workshop *THE PREDICTIVE ROLE OF CONNECTED DYNAMICAL SYSTEMS * ? January 20, 2026 | ? Online | ?? Free Registration ? Now Open We are excited to invite you to an international online workshop dedicated to fascinating topics of the dynamics of MEG large-scale brain connectivity and their predictive power. *Why Attend? * Understanding how brain networks dynamically interact is key to unlocking the mechanisms of large-scale communication and behavior. While normative functional connectomes are now robust, widely available, and impactful across clinical and scientific domains, critical questions remain open: ? What is the functional meaning of spectral and temporal dynamics in resting-state connectomes? ? Which mechanisms give rise to these dynamics? ? How can individual dynamical features be leveraged to predict behavior? This workshop will tackle these questions head-on. *Workshop Focus * Through cutting-edge methods and real-world applications, the workshop will explore how rich information can be extracted from brain connected dynamical systems, including: ? Advanced tools for analyzing large-scale brain dynamics ? Mechanisms underlying specific dynamical patterns ? Individual-level dynamical features and their predictive relevance By bringing together leading experts in methodology and applications, the workshop will offer a multifaceted perspective on this rapidly evolving field and foster meaningful scientific exchange and collaboration. A Truly Multidisciplinary Experience The talks span disciplines?from computational neuroscience and physics to clinical and cognitive applications?creating a fertile ground for lively discussion, cross-pollination of ideas, and new collaboration ? Registration: Free and open to all at the link https://www.pspweb.it/workshop/workshop-20-january/ ORGANIZERS Stefania Della Penna (University G. d?Annunzio of Chieti-Pescara) Francesco de Pasquale (University of Teramo) -- Stefania Della Penna Full Professor of Applied Physics (Cultural Heritage, Environment, Biology, Medicine) Institute for Advanced Biomedical Technologies and Department of Neuroscience, Imaging and Clinical Sciences University of Chieti-Pescara "G. d'Annunzio" Via dei Vestini - Campus Universitario 66013 Chieti - ITALY ph: +39-0871-3556937 fax:+39-0871-3556930 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Locandina Workshopbis_2.pdf Type: application/pdf Size: 295997 bytes Desc: not available URL: From kerkoucheraouf at gmail.com Wed Jan 7 12:22:48 2026 From: kerkoucheraouf at gmail.com (Raouf Kerkouche) Date: Wed, 7 Jan 2026 18:22:48 +0100 Subject: Connectionists: =?utf-8?q?Last_Reminder=3A_PhD_Position_=E2=80=93?= =?utf-8?q?_Privacy-Preserving_Collaborative_Learning_of_Large_Lang?= =?utf-8?q?uage_Models_Across_Heterogeneous_Learning_Paradigms?= Message-ID: Dear colleagues, I hope this message finds you well and that you have had a good start to the New Year. I would like to take this opportunity to wish you a happy and successful New Year. This email serves as a *last reminder* to advertise a PhD position on *Privacy-Preserving Collaborative Learning of Large Language Models Across Heterogeneous Learning Paradigms*, hosted at Inria, the French National Institute for Research in Digital Science and Technology. Inria offers an outstanding international research environment, strong collaborations, and excellent conditions for PhD research. The position is based in Lille, France, a dynamic academic city with a strong research environment, affordable living costs, and excellent connections to Paris, Brussels, and London, making it an attractive place for PhD studies. Full details about the position and the application procedure are available here: https://recrutement.inria.fr/public/classic/fr/offres/2025-09662 Please feel free to share this announcement with interested candidates in your networks. ? *Application deadline: 15 January 2026* Best regards, Dr. Raouf KERKOUCHE -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.rigoni.1 at unipd.it Wed Jan 7 13:48:45 2026 From: davide.rigoni.1 at unipd.it (Davide Rigoni) Date: Wed, 7 Jan 2026 19:48:45 +0100 Subject: Connectionists: ICANN 2026 - Extended Deadline for Special Session Proposals Message-ID: On behalf of the ICANN 2026 Organizing Committee, we would like to inform you that the deadline for Special Session Proposal Submission has been extended to January 17, 2026. We encourage colleagues interested in organizing a Special Session at the 35th International Conference on Artificial Neural Networks (ICANN 2026) to take advantage of this extended deadline. Special Sessions focus on well-defined topics within the scope of the conference. Further details on Special Sessions and submission guidelines are available on the conference website: https://e-nns.org/icann2026/call-for-papers-2/call-for-workshops-and-special-sessions/ Special Session Proposal Submission Form: https://forms.gle/WQFfEQWU45ans9Wv6 Updated Important Dates: - Special Session Proposal Submission: January 17, 2026 - Special Session Acceptance Notification: January 27, 2026 - Conference Dates: September 14-17, 2026 Special Session and Workshop Chairs: - Luca Oneto - Valerie Vaquet For questions, please contact: icann2026 at e-nns.org -------------------------------------------------------------------------------- Davide Rigoni and Matteo Zavatteri Communicator Chairs On behalf of the General Chairs: Alessio Micheli, Nicol? Navarin, and Alessandro Villa -------------------------------------------------------------------------------- Privo di virus.www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Wed Jan 7 17:30:16 2026 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 7 Jan 2026 23:30:16 +0100 Subject: Connectionists: 23rd Int.l Summer School on Biometrics, Behavior and Vision - Alghero, Italy June 8-12 2026 Message-ID: *We apologize if you are receiving this information multiple times* *23rd EURASIP*/IAPR*/IEEE* Int.l Summer School for Advanced Studies on Biometrics, Behavior and Vision* HUMAN INTERACTIONS AND LARGE FOUNDATION MODELS Alghero, Italy ? June 8-12 2026 Contact: tista at uniss.it https://biometrics.uniss.it For the past 22 years this international Summer School provided an active and dynamic forum to closely follow the most recent developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. This year's main topic will be the impact of generative AI and large foundation models on the development and deployment of biometrics and human recognition in different application domains to facilitate human interaction with artificial agents. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today "Biometrics". Over the last decade the advent of Deep Learning and, more recently, Generative AI, strongly impacted both research and application of automatic biometric data analysis and recognition. However, other issues and concerns, not directly related to the computational performance, arise including the fairness, reliability and trustfulness of current biometric systems. This edition of the school will address these issues trying to answer some compelling questions, such as: - How to mitigate bias in recognition systems? - How to design privacy-preserving and "ethical" AI models? - What can we learn from human perception? - How to better deploy current large foundation models? - How to cope for adversarial attacks in biometric recognition? - How human interactions can facilitate continual learning and adaptation? - What is the potential impact of biometrics in forensic investigation and crime prevention? The course follows the successful track of the International Summer Schools on Biometrics held since 2003 and it will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. Open sessions will be organised with questions and answers moderated by leading experts in the field. APPLICATION DEADLINE: February 15th 2026 download application form: https://biometrics.uniss.it * Sponsorship approval pending Participant application The school will be open to about 60 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. To attend the school classes, physical presence of the participants will be required. In exceptional cases of travel limitations, remote participation with videoconference facilities will be also allowed. The expected school fees will be in the order of 1,900 ? (400 ? in videoconference) for students and 2,500 ? (900 ? in videoconference) for others. The fees will include full board accommodation at the school premises, all courses and handling material. A limited number of scholarships, offered by the school sponsors, partially covering the fees, will be awarded to students, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site https://biometrics.uniss.it . Phd students, researchers and post-docs are also encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available for all participants to display their current research or professional activities in the field. Send a filled application form (download from http://biometrics.uniss.it ) together with a short curriculum vitae to: Prof. Massimo Tistarelli ? e-mail: biometricsummerschool at gmail.com Advance application is strictly required by February 15th 2026 School location The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. School Committee Massimo Tistarelli Computer Vision Laboratory University of Sassari, Italy Josef Bigun Department of Computer Science Halmstad University, Sweden Enrico Grosso Computer Vision Laboratory University of Sassari, Italy Anil K. Jain Biometrics laboratory Michigan State University, US Distinguished lecturers from past school editions Josef Bigun - Halmstad University ? Sweden Thirimachos Bourlai - University of Georgia ? USA Kevin Bowyer - University of Notre Dame ? USA Vincent Bouatou - Idemia ? France Rama Chellappa - University of Maryland ? USA Roberto Cipolla - Cambridge University ? UK John Daugman - Cambridge University ? UK Farzin Deravi - University of Kent ? UK Andrzej Drygajlo - EPFL ? Switzerland Jean-Luc Dugelay - Eurecom ? France Ida Gobbini - Universit? di Bologna ? Italy James Haxby - Dartmouth University ? USA Anil K. Jain- Michigan State University ? USA Ioannis Kakadiaris - University of Houston ? USA Michael King - Florida Institute of Tech. ? USA Joseph Kittler - University of Surrey ? UK Chang-Tsun Li - Warwick University ? UK Davide Maltoni - Universit? di Bologna ? Italy Sebastien Marcel - IDIAP ? Switzerland John Mason - Swansea University ? UK Aldo Mattei - Arma dei Carabinieri ? Italy Didier Meuwly - Netherlands Forensic Institute ? NL Emilio Mordini MD - Responsible Technology ? Italy Mark Nixon - University of Southampton ? UK Alice O?Toole - University of Texas ? USA Maja Pantic - Imperial College ? UK Vishal Patel - Johns Hopkins University ? USA Jonhaton Phillips - NIST ? USA Tomaso Poggio - MIT ? USA Nalini Ratha - University at Buffalo ? USA Arun Ross - Michigan State University ? USA Tieniu Tan - CASIA-NLPR ? China Massimo Tistarelli - Universit? di Sassari ? Italy Alessandro Verri - Universit? di Genova ? Italy James Wayman - University of San Jos? ? USA Harry Wechsler - George Mason University ? USA Lior Wolf - Mentee Robotics & Tel Aviv University ? Israel -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Thu Jan 8 05:46:29 2026 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Thu, 08 Jan 2026 11:46:29 +0100 Subject: Connectionists: [CfP ROMCIR 2026] Extended Deadlines: Abstract January 14, Paper January 21 Message-ID: <8c8341fd57bc8c814a130f43014c4bf8@iit.cnr.it> ROMCIR 2026: The 6th International Workshop on Reducing Online Misinformation through Credible Information Retrieval Co-located with ECIR 2026: The 48th European Conference on Information Retrieval (ECIR2026). April 2, 2026. Delft, The Netherlands. Workshop website: https://romcir.disco.unimib.it Submission link: https://easychair.org/conferences/?conf=romcir2026 *************************************************************************************************************************** GENERAL DESCRIPTION Now in its sixth edition, the ROMCIR Workshop concerns providing information access systems to mitigate the human-generated or AI-generated information disorder phenomenon concerning distinct domains. By "information disorder" we mean all forms of communication pollution, from misinformation made out of ignorance, automatically built based on biased content, to intentional sharing of false content (generated both manually and automatically). In this context, all those approaches that aim to assess the factual accuracy (or other reliability-related relevance dimensions) of information circulating online, and particularly on social media, find their place. This topic is very broad, as it concerns different contents (e.g., Web pages, news, reviews, medical information, online accounts, etc.), different Web and social media platforms (e.g., microblogging platforms, social networking services, social question-answering systems, etc.), different purposes (e.g., identifying false information, accessing information based on its truthfulness, retrieving truthful information, hallucination detection, etc.), and different open issues related in particular to AI (e.g., explainability of search results, assessment of the truthfulness of automatically generated content, generative models to support IRSs, etc.). *************************************************************************************************************************** CONTRIBUTIONS The Workshop solicits the sending of two types of contributions relevant to the Workshop and suitable to generate discussion: * Original, unpublished contributions (pre-prints submitted to ArXiv are eligible) that will be included in an open-access post-proceedings volume of CEUR Workshop Proceedings (http://ceur-ws.org/), indexed by both Scopus and DBLP. * Already published or preliminary work that will not be included in the post-proceedings volume. All submissions will undergo SINGLE-BLIND peer review by the Program Committee. Submissions are to be done electronically through the EasyChair at: https://easychair.org/conferences/?conf=romcir2026 *************************************************************************************************************************** IMPORTANT DATES (AoE) * Abstract submission: January 14, 2026 * Paper submission: January 21, 2026 * Decision notification: February 14, 2026 * Workshop day: April 2, 2026 ********************************************************************************************************* SUBMISSION INSTRUCTIONS Submissions must be: * Regular papers: between 10 and 14 pages long * Short papers: Between 5 and 9 pages long We recommend that authors use the new CEUR-ART style for writing papers to be published. * An Overleaf page for LaTeX users is available at: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw * An offline version with the style files including DOCX template files is available at: http://ceur-ws.org/Vol-XXX/CEURART.zip * The paper must contain the name of the conference "ROMCIR 2026: The 6th Workshop on Reducing Online Misinformation through Credible Information Retrieval (held as part of ECIR 2026: The 48th European Conference on Information Retrieval). April 2, 2026. Delft, The Netherlands." * The title of the paper should follow the regular capitalization of English (e.g., Example of a Title of a Paper Correctly Capitalized) * Please, choose the one-column template * According to CEUR-WS policy, the papers will be published under a CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0/deed.en If the paper is accepted, authors will be asked to sign (at pen) an author agreement with CEUR: * In case you do not employ Third-Party Material (TPM) in your draft, sign the document at: https://ceur-ws.org/ceur-author-agreement-ccby-ntp.pdf?ver=2024-06-04 * If you do use TPM, the agreement can be found at: https://ceur-ws.org/ceur-author-agreement-ccby-tp.pdf?ver=2024-06-04 For further information: https://ceur-ws.org/HOWTOSUBMIT.html *************************************************************************************************************************** ORGANIZERS * Marcos Fernandez-Pichel, Centro Singular de Investigaci?n en Tecnolox?as Intelixentes (CiTIUS), University of Santiago de Compostela, Spain * Marinella Petrocchi, CNR-IIT, Pisa, Italy * Kevin Roitero, University of Udine, Italy * Marco Viviani, University of Milano-Bicocca, Milan, Italy -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Web: https://www.iit.cnr.it/en/marinella.petrocchi/ `Luck is a matter of geography' (Bandabardo') From announce at ucy.ac.cy Fri Jan 9 10:53:43 2026 From: announce at ucy.ac.cy (Announce) Date: Fri, 9 Jan 2026 15:53:43 +0000 Subject: Connectionists: 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS): Fifth Call for Contributions Message-ID: <3LGZS13N-D2ID-MXUR-45S4-UQIJ3X4K5V7N@ucy.ac.cy> *** Fifth Call for Contributions *** 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2026) June 3-5 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://2026.cbms-conference.org Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences in the fields of medical informatics and biomedical informatics. CBMS allows the exchange of ideas and technologies between academic and industrial scientists. The scientific program of IEEE CBMS 2026 will consist of regular and special track sessions with technical contributions reviewed and selected by an international program committee, as well as, keynote talks and tutorials given by leading experts in their fields. The CBMS 2026 edition also aims to host high-quality papers about industry and real case applications as well as allow researchers leading international projects to show to the scientific community the main aims, goals, and results of their projects. We solicit submissions on previously unpublished research work. CALL FOR PAPERS Example areas include but are not limited to: ? Active and Healthy Ageing System ? Analytics and solutions in Public Health ? Artificial intelligence in healthcare ? Big Data Analytics in Healthcare ? Bioinformatics ? Biomarker Discovery and Drug Design ? Biomedical Signal and Image Processing and Machine Vision ? Cognitive Computing in Healthcare ? Computer Supported Cooperative Work in Healthcare (CSCW) ? Databases and blockchain in Medicine or Healthcare ? Data Analysis and Knowledge Discovery in Medicine or Healthcare ? Decision Support and Recommendation Systems in Medicine or Healthcare ? Digital Twins / Personalized AI Models ? e-Health ? Ethics in the application of ICT to biomedicine ? Explainable AI for Decision Support ? Generative AI and Foundational Models for Biomedicine ? Human-Computer Interaction (HCI) in Healthcare ? Knowledge Representation in Medicine or Healthcare ? m-Health ? Medical education using ICT ? Medical Robotics, Intelligent Medical Devices, and Smart Technologies ? Metaverse, Augmented and Intelligent Reality ? Multimodality Data Analysis ? Network and Telemedicine Systems ? Pervasive Computing for Wearables ? Privacy and Security in Healthcare ? Radiomics and Radiogenomics ? Serious Games for Healthcare ? Software Systems in Medicine ? Technology in Clinical and Healthcare Services Research ? Web-Based Delivery of Medical Information Special Tracks CBMS 2026 will also feature a number of special tracks: ? Green-Aware Artificial Intelligence for Network and Text Mining in Computational Biology and Medicine https://sites.google.com/unicz.it/greenai-nettext/ Multimodal Artificial Intelligence in Healthcare https://sites.google.com/view/maih2026/home GEAI4ND ? Generalizable & Explainable AI for the Care Continuum of Neurodegenerative Disease http://geai4nd-cbms2026.conf.uoi.gr/ Interoperability and Federated Analytics in Biomedical Data Using OMOP CDM https://bioinformatics-ua.github.io/ieee-cbms-st-IFABD/ Network Medicine https://medal.ctb.upm.es/CBMS26_ST_NM.html Image Processing and Machine Vision for Intelligent Healthcare https://sites.google.com/view/2026-cbms-impvih Artificial Intelligence for Inclusion, Accessibility and Well-Being of Vulnerable Populations https://www.uco.es/kdis/cbms-2026/ Synthetic Healthcare Data Generation and Clinical Decision Support https://is-innovation.eu/CBMS2026/search-workshop.htm Computational Intelligence in Medical Imaging (CIMI) https://sites.google.com/view/cbms/cbms-cimi Management and Quality of Data Lifecycle in Health and Medicine https://raise-suite.eu/management-and-quality-of-data-lifecycle-in-health-and-medicine/ Prospective authors are expected to submit their contributions to the general track or one of the special tracks if relevant. Please see the submission guidelines for further details. Submission Guidelines Papers must be submitted electronically using the EasyChair conference management system (see link below). All submissions will be peer-reviewed at least by two Program Committee members. All accepted papers (Regular, Short, and Posters) will be included in the conference proceedings and will be published by IEEE Xplore. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. Type of Submissions Each contribution must be prepared following the IEEE two-column format, whose template is available at https://www.ieee.org/conferences/publishing/templates . The authors may choose LaTeX or Microsoft Word templates. CBMS 2026 accepts three types of submissions: ? Regular papers: The length of the contribution is limited to 6 pages, but it is possible to extend the paper length up to 8 pages by paying for each extra page. Check fees for more information. ? Short papers: The length of the contribution is limited to 4 pages and no less than 3 pages, not being possible to extend the paper length. The duration of the oral presentation of short posters will be less than regular ones. ? Posters: The length of the contribution is limited to 2 pages. Poster papers will be included in the proceedings but won?t include oral presentations during the conference. The authors of a poster also need to prepare a real poster to be shown during the conference. For presentation purposes at the conference, the authors must prepare the poster in portrait format. The accepted dimensions are 60 (width) x 80 (length). CALL FOR SHOWCASE / RESEARCH PROJECTS CBMS 2026 will have a special showcase/research projects track session, where we invite (a) scientific papers, (b) demonstrations/posters and (c) research-projects descriptions. Scientific papers: We invite papers (not exceeding 6 pages in length), describing innovative computer-based medical devices or software applications, including practical experiences with such innovations. The papers should be scholarly articles presenting scientific methods, measurements, and experiments. Marketing and sales materials will not be accepted. These papers will be evaluated based on practicality, innovation, scientific rigor, value of the device or application to users, and novelty. They will be published in the proceedings of the conference along with the other papers under this track. Examples of such papers could include but are not limited to: ? Computer-based medical devices that have technical/scientific novelty ? Computer-based medical applications intended for or recently introduced in the field ? Novel uses of traditional equipment in practice ? Experience papers based on use and data from the field ? Insightful measurement-based analysis of computer-based medical systems from the field ? Novel analysis providing new insights from data collected from the field ? New and practical data analytics useful in practice ? Real deployments of AI solutions in medicine Demonstrations: A demonstration is more appropriate if the value can be better expressed with a demonstration rather than in a full-length paper. The topics for the demonstration papers are the same as the scientific for this track. Please submit a proposal of your demonstration with a limit of two pages. Research projects/initiatives: CBMS aims in this edition to receive submissions about research or innovation projects funded by, mainly, competitive calls to present their project. We foresee to receive submissions which include details about the project goals, consortium and results (expected and any tentative result obtained so far). Only projects funded by competitive calls or with strong potential interest for the community will be considered. International projects organized in a consortium of several countries will have preference. Submissions in this context should be a one/two-pages document with at least the following information: ? Project/initiative title ? Description ? Participant entities ? Project goals ? Funding agency (when applies) or agencies ? Results obtained so far (publications, patents, ...) The contribution must be prepared following the regular paper. The length of the contribution must be between 4 and 6 pages. Submission Guidelines Papers must be submitted electronically using the EasyChair conference management system (see link below). All submissions will be peer-reviewed at least by two Program Committee members. All accepted contributions will be included in the conference proceedings and will be published by IEEE Xplore. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. CALL FOR DOCTORAL CONSORTIUM The Doctoral Consortium for CBMS 2026 will provide an opportunity for PhD students to present their research plans or their preliminary work in an informal and supportive atmosphere. The PhD students will be able to discuss the problems that their PhDs are addressing, any preliminary results, and their future plans. The DC will offer them an opportunity to discuss any problems that they have come up against, and gain valuable advice and constructive feedback from experienced researchers in the field.The Doctoral Consortium will involve presentations by participating PhD students (selected by the Doctoral Consortium chairs) as well as a number of invited talks / tutorials on different related topics in the field. Submissions Doctoral Consortium submissions should focus specifically on a PhD thesis or subsection of a thesis. To apply for participation at CBMS 2026 Doctoral Consortium, please submit a research plan on a topic related to the areas covered in the general call for papers for the conference. Each submission should be in the same format as the main conference papers except it should consist of approximately 3-5 pages describing your research work. In particular: ? Title and author ? The research problem that your PhD addresses ? Your planned approach and methods for solving the problem ? How your approach compares to other known approaches ? Any preliminary results or expected results ? Future plans and directions with specific questions Papers must be submitted electronically using the EasyChair conference management system (see link below). Doctoral Consortium papers/contributions will be included in the proceedings in a specific ?Doctoral Consortium? section. SUBMISSION LINK FOR ALL TYPES OF CONTRIBUTIONS https://easychair.org/conferences/?conf=ieeecbms2026 Please choose the track that best fits for your submitted paper. OTHER INFORMATION For more information, please contact ieeecbms2026 AT easychair.org . IMPORTANT DATES (all types of contributions) ? Submission Deadline: February 20, 2026 (AoE) ? Notification of Acceptance: April 10, 2026 ? Camera-Ready Due: April 24, 2026 (AoE) ORGANIZATION CBMS SC Chair ? Rosa Sicilia, University Campus Bio-Medico di Roma, Italy General Chairs ? Mario Cannataro, University "Magna Graecia" of Catanzaro, Italy ? Constantinos S. Pattichis, University of Cyprus, Cyprus Program Chairs ? Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece ? Efthyvoulos Kyriacou, Cyprus University of Technology, Cyprus ? Andreas S. Panayides, CYENS Centre of Excellence, Cyprus Publication Chairs ? Sameer K. Antani, National Library of Medicine & National Institutes Of Health, USA ? Bridget Kana, Karlstad University, Sweden Special Tracks Chairs ? Pietro Cinaglia, University "Magna Graecia" of Catanzaro, Italy ? Christos Loizou, Cyprus University of Technology, Cyprus Showcase / Research Projects Chair ? Pietro Hiram Guzzi, University "Magna Graecia" of Catanzaro, Italy Doctoral Consortium Chair ? Marios Pattichis, University of New Mexico, USA Sponsorship Chair ? KC Santosh, University of South Dakota, USA Local Organizing and Finance Chair ? George A. Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Fri Jan 9 09:42:07 2026 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Fri, 9 Jan 2026 14:42:07 +0000 Subject: Connectionists: CfP - Elsevier COMCOM - Special Issue on Intelligence and Service Orchestration in Next-Generation Mobile Networks In-Reply-To: References: <6752207620437421.WA.giovanni.stancounina.it@listserv.acm.org> Message-ID: ================================================================================ CALL FOR PAPERS Elsevier Computer Communications Special Issue "Intelligence and Service Orchestration in Next-Generation Mobile Networks" https://www.sciencedirect.com/special-issue/327227/intelligence-and-service-orchestration-in-next-generation-mobile-networks ================================================================================ Mobile communication and computing infrastructures are undergoing a profound transformation, moving toward highly dynamic, service-centric ecosystems. Fundamental to this evolution is a novel paradigm for the infrastructure and service management for 5G-and-beyond networks. Indeed, the architectural paradigm of 5G is shifting toward Open Radio Access Network (RAN), which introduces RAN Intelligent Controllers (RICs) for network overseeing and reconfiguring through Artificial Intelligence (AI) applications able to enhance the overall performance. The shift from monolithic components to virtualized functions through Network Function Virtualization (NFV) and the adoption of Software Defined Networking (SDN) allow the deployment of innovative solutions that demand flexible orchestration methods. In this context, Service Management and Orchestration (SMO) and Network and Service Orchestration (NSO) play a crucial role by enabling real-time automation and optimization across highly dynamic and heterogeneous network environments, whilst integrating radio, transport, and core domains under a single control plane. These solutions are apt to tackle key challenges including service provisioning, resource allocation, power consumption, and quality of service. Central to this scenario is the role of AI, which enables closed-loop network automation and control, predictive management, automated fault detection, and intent-based service delivery. As such, network intelligence is essential for resilient, scalable, and adaptive orchestration techniques capable of meeting the stringent latency, reliability, and performance requirements of future mobile networks. This Special Issue aims to collect innovations proposed by the research community in the field of Intelligence and Service Orchestration in next-gen mobile networks. These topics and challenges have recently been investigated by researchers, telco stakeholders, government agencies, and international organizations (e.g. NextGenerationEU, CAMARA). Topics of interest include, but are not limited to: * Management and orchestration architectures and techniques for next-gen networks * Automation, coordination, management and optimization of network resources and services * Placement and resource allocation for VNFs * Resource monitoring and service analytics * Orchestration solutions for control plane, core, and RAN * Orchestration in Transport and Multi-Domain Networks * Enabling technologies for network orchestration * AI-based network orchestration * Closed-loop automation engines in NSO * Zero-Touch and intent-driven Open RAN orchestration, optimization, control, and management * QoS in network orchestration * NSO for sustainability * Resilience, scalability, and adaptability of next-gen networks * Industry-supported efforts for network optimization * Integrated Sensing and Communications * Privacy in orchestration frameworks * Energy-aware and Sustainable Network Management * Testbeds, emulators and benchmarking for orchestration solutions ***Manuscript submission information*** The journal's submission platform (Editorial Manager??) will be open for submissions to this Special Issue from October 26, 2025. Please refer to the Guide for Authors to prepare your manuscript and select the article type of "VSI: Intelligent Orchestration in Next-Generation Networks" when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: https://www.sciencedirect.com/journal/computer-communications The impact of SI contributions should be clearly demonstrated in the context of the theme of the special issue. Papers that do not directly address this theme are considered out of scope and are subject to immediate rejection. ***Timeline*** Submission Open Date 26/10/2025 Final Manuscript Submission Deadline 28/02/2026 Editorial Acceptance Deadline 15/09/2026 ***Guest editors*** Prof. Abderrahim Benslimane University of Avignon, France Email: abderrahim.benslimane at univ-avignon.fr Prof. Cristiano Bonato Both University of Vale do Rio dos Sinos (UNISINOS), Porto Alegre, RS, Brazil Email: cbboth at unisinos.br Prof. Giang T. Nguyen Dresden University of Technology, Germany Email: giang.nguyen at tu-dresden.de Prof. Giovanni Stanco University of Naples Federico II, Italy Email: giovanni.stanco at unina.it Prof. Stefania Zinno University of Naples Federico II, Italy Email: stefania.zinno at unina.it From david at irdta.eu Sat Jan 10 04:00:06 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 10 Jan 2026 10:00:06 +0100 (CET) Subject: Connectionists: DeepLearn 2026: early registration February 2 Message-ID: <225137606.481048.1768035607394@webmail.strato.com> ****************************************************** 13th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2026 Orl?ans, France July 20-24, 2026 https://deeplearn.irdta.eu/2026/ ****************************************************** Co-organized by: University of Orl?ans Centre Val de Loire Doctoral College Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: February 2, 2026 ****************************************************** SCOPE: DeepLearn 2026 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, Lule?, Bournemouth, Bari, and Porto. 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, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. 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: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence 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 2026 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 2026 will take place in Orl?ans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orl?ans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orl?ans, France https://www.univ-orleans.fr/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 industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to 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: Yingbin Liang (Ohio State University), Theoretical Characterization of Training Transformers for Chain-of-Thought Reasoning Le Song (Mohamed bin Zayed University of Artificial Intelligence), Multiscale Foundation Models for Biology PROFESSORS AND COURSES: (to be completed) Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Bilevel Optimization: Theory, Algorithms and Application in AI Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Foundation Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral 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 12, 2026. 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. Abstracts have to be submitted to david at irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orl?ans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orl?ans, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Philippe Ravier (Orl?ans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 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 in due time at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). 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: Universit? d?Orl?ans Coll?ge Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From Marwa.Mahmoud at glasgow.ac.uk Fri Jan 9 19:52:29 2026 From: Marwa.Mahmoud at glasgow.ac.uk (Marwa Mahmoud) Date: Sat, 10 Jan 2026 00:52:29 +0000 Subject: Connectionists: FG2026 - Abstract and full paper submission deadlines extended to 25 January [two weeks] In-Reply-To: References: Message-ID: Dear Colleagues (apologies for cross-posting), The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026) May 25th ? 29th, 2026, Kyoto, Japan. https://fg2026.ieee-biometrics.org/ The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes advances in fundamental computer vision, pattern recognition, computer graphics, and machine learning techniques relevant to face, gesture, and body action, as well as innovative algorithms and analyses of specific applications. The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026) marks a milestone as the 20th conference in the series, returning to Japan after nearly three decades. FG 2026 will be held from May 25th to 29th, 2026, in Kyoto, Japan, as an in-person event. The conference invites submissions addressing both foundational and emerging research topics in face and gesture recognition. Topics of interest include, but are not limited to: - Face, gesture, and body detection and tracking - Robust recognition under varying conditions (pose, occlusion, illumination) - Generative modeling and neural rendering (e.g., deepfakes, AR/VR) - Advanced learning paradigms (self-supervised, few-shot, foundation models) - Soft biometrics and behavioral analysis (emotion, personality, demographics) - Multimodal fusion and cross-modal analysis - Benchmark development and dataset creation - Cognitive and bio-inspired vision systems - Bias mitigation, interpretability, and ethical considerations - Real-world applications and deployment studies - Paper format and submission Format Submitted papers may not be accepted or under review elsewhere. FG 2026 will consider two different paper types, i.e., Short and Long Papers. Authors should carefully consider the category before submitting a paper. - Short papers: 4 pages + 1 page for references - Long papers: 8 pages + references The main difference between the two is in the size of the contributions, rather than in their importance or technical quality. Please visit the submission page for additional details on paper formatting and paper types. Accepted papers will be published and indexed in IEEEXplore. Paper submissions for round 2 are accepted through CMT: https://cmt3.research.microsoft.com/FG2026/ Important Dates (all AoE) - Abstract submission: Sunday, January 25th, 2026 (extended) - Paper submission: Sunday, January 25th, 2026 (extended) - Notifications to authors: Thursday, April 2nd, 2026 - Camera Ready (for all): Tuesday, April 21st, 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.toutounji at sheffield.ac.uk Sun Jan 11 12:18:38 2026 From: h.toutounji at sheffield.ac.uk (Hazem Toutounji) Date: Sun, 11 Jan 2026 17:18:38 +0000 Subject: Connectionists: Fully-funded PhD in computational neuroscience, Sheffield, UK Message-ID: Dear all, A fully-funded PhD position in computational neuroscience is available with Dr Hazem Toutounji (University of Sheffield, UK). *Project title: *Flexible or Flawed? A Computational Neuroscience Approach to Learning Strategies and Psychiatric Traits In our complex and ever-changing world, humans are constantly faced with a flood of sensory information. To make effective and timely decisions, the brain cannot possibly process every single detail. Instead, it is thought to rely on intelligent "cognitive shortcuts" or simple strategies (heuristics) to simplify complex problems. This allows for rapid and flexible learning, but the mechanisms behind this process are not well understood. When are these shortcuts deployed? How does the brain select the right strategy for the task at hand? How does it know when a shortcut is no longer working and a new strategy is needed? And how are the selection and efficiency of those shortcuts influenced by common psychiatric traits such as anxiety and impulsivity? This 3.5-year fully-funded PhD studentship provides an exciting opportunity to work at the intersection of computational modelling, cognitive neuroscience, and computational psychiatry. The successful candidate will receive comprehensive training in all required methods. *Position available for UK students only* *Application deadline: *February 4th 2026 *PhD start date: *October 1st 2026 Further information on the project, requirements, and how to apply can be found here: http://www.findaphd.com/?pj=190228 *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. Best wishes, Hazem -- *Dr. rer. nat. Hazem Toutounji (they / them) *[pronounced ?AH-zem TUTUN-ji ] *PI of the Neural Dynamics and Computation Lab* Lecturer in Computational Neuroscience MSc Exams Officer, ECR Champion, Sustainability Lead School 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 *Please don't feel obliged to respond to my emails outside your own working hours* If you are a student looking for support, please see this page . *Office hours during semester weeks:* Monday 14:00-15:00 -- Please book an appointment with a brief description of the topic using this link . Face to face meetings are at *ICOSS E04a*. To meet outside of office hours, please email me 24 working hours in advance. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Sun Jan 11 19:01:31 2026 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Mon, 12 Jan 2026 00:01:31 +0000 Subject: Connectionists: Postdoc position in Neurocomputation, Univ of Cambridge Message-ID: <54745CB4-56B9-45E5-926E-CC4AFC4FC046@cam.ac.uk> Interested in uncovering the brain mechanisms for adaptive behavior? Join us @CambridgeABL Apply by January 27th and help us advance the science of learning and brain plasticity: https://www.cam.ac.uk/jobs/research-associate-in-neurocomputation-fixed-term-pj48441 For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) with CV and brief statement of background skills and research interests. [infograhic.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: infograhic.png Type: image/png Size: 317552 bytes Desc: infograhic.png URL: From dhansel0 at gmail.com Mon Jan 12 02:56:41 2026 From: dhansel0 at gmail.com (David Hansel) Date: Mon, 12 Jan 2026 09:56:41 +0200 Subject: Connectionists: World wide VVTNS series (6th season): Wednesday, January 14, 2026, at 11:00 am ET - David Clark Kempner Institute at Harvard University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture David Clark Kempner Institute at Harvard University on the topic of *Computation Through Neuronal-Synaptic Dynamics* The lecture will be held on zoom on January 14, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Computations in neural circuits are often construed as being implemented through the coordinated dynamics of neurons. In this picture, the role of synaptic connectivity is to sculpt neuronal dynamics to implement computations of interest. Of course, synapses are not static but change on a variety of timescales, including fast timescales comparable to those of neurons. Thus, a more accurate view of computation in neural circuits may involve the coupled dynamics of neurons and synapses. This form of computation is closer to what is implemented by Transformers via an equivalence between ongoing synaptic plasticity and self-attention. I will first describe a nonlinear recurrent neural-network model with ongoing Hebbian dynamics of ?fast? synapses atop unstructured ?slow? synapses. I will then describe two computations implemented through neuronal-synaptic dynamics, which can be studied in this model using techniques including dynamical mean-field theory and random-matrix theory. First, there exists a novel phase termed ?freezable chaos? in which a stable fixed point of neuronal dynamics is continuously destabilized by synaptic dynamics. This allows for the creation of a stable fixed point at any neuronal state visited by the network by halting synaptic plasticity. Second, I will describe an effect termed ?persistent oscillations? in which, following stimulation by a periodic signal, a plastic network continues to autonomously reproduce a similar signal for a duration exceeding any intrinsic timescale in the system. Thus, ongoing Hebbian plasticity can provide a dynamic form of working memory, complementing the static form provided by freezable chaos. Ongoing experimental work suggests that this effect is realized in cortical organoids. Overall, this line of work suggests that synapses should be promoted to first-class dynamical degrees of freedom in our conceptual understanding of neural-circuit function. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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.* ? -- *Il n'y a ni obligation ni pression ? traiter ou r?pondre ? ce mail en dehors des heures de travail* "? ?????? ????? ???? ???? ?????" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From ludovico.montalcini at gmail.com Mon Jan 12 04:29:42 2026 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 12 Jan 2026 10:29:42 +0100 Subject: Connectionists: =?utf-8?q?9th_Advanced_Course_on_Data_Science_=26?= =?utf-8?q?_Machine_Learning_-_ACDL_2026_-_From_AI_Agents_to_Agenti?= =?utf-8?q?c_AI_=7C_June_8-12_=7C_Riva_del_Sole_Resort_=26_SPA_-_It?= =?utf-8?q?aly_-=3E_=E2=8F=B0_Early_Registration=3A_by_23_February?= Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * ACDL 2026, A Residential Course: From AI Agents to Agentic AI, June 8-12, Tuscany ? Early Registration: by 23 February ? ACDL 2026 is a full-immersion 5-day course in Riva del Sole Resort & SPA - Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc., Generative AI, AI Agents & Agentic AI with lectures delivered by world-renowned experts. If you want to learn AI, Generative AI & AI Agents LLMs, Agentic AI, Multimodal Foundation Models, and much more then take part in ACDL 2026! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 8-12, 2026 ? https://acdl2026.icas.events ? acdl at icas.cc ? EARLY REGISTRATION: by February 23 (AoE) ? https://acdl2026.icas.events/registration/ Oral Presentation Submission Deadline: by February 23 (AoE) ? LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. ? https://acdl2026.icas.events/lecturers/ It follows the (partial list) of the confirmed ACDL 2026 Lecturers: Arthur Gretton, UCL, UK Katja Hofmann, Microsoft, UK Arnulf Jentzen, University of M?nster, Germany Pushmeet Kohli, Google DeepMind, UK David van Dijk, Yale University, USA Jason Weston, META, USA More Lecturers TBA ? LECTURES: TBA ? https://acdl2026.icas.events/lectures/ ? PAST LECTURERS: ? https://acdl2026.icas.events/past-lecturers/ ? VENUE: ? https://acdl2026.icas.events/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 ? booking.events at rivadelsole.it ? https://www.rivadelsole.it/en/ PAST EDITIONS: ? https://acdl2026.icas.events/past-editions/ ? CERTIFICATE & 8 ECTS: The 8th Advanced Course on Data Science & Machine Learning ? ACDL 2026 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student ? BSc Student) attending the Course. Language: English. To participate in the ACDL 2026, all attendants must (1/2) register for the course (by February 23, 2026) and (2/2) book accommodation at the course venue, ?Riva del Sole Resort & SPA? (by April 23, 2026); all attendants must stay at the ?Riva del Sole Resort & SPA?. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events at rivadelsole.it Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel can not match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( ? booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use. Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in ACDL 2026 should register as soon as possible. See you in Riva del Sole in June! ACDL 2026 Directors. ACDL 2026 Scientific & Organizing Committees. ? https://acdl2026.icas.events ? acdl at icas.cc Obviously this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: ? https://acdl2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unipa.it Mon Jan 12 16:23:49 2026 From: fabio.bellavia at unipa.it (Fabio Bellavia) Date: Mon, 12 Jan 2026 22:23:49 +0100 Subject: Connectionists: [CFP] CVPR Workshop on Image Matching: Local Features and Beyond 2026 Message-ID: <41cf39c2-0eca-4bde-901e-8af1e14b2021@unipa.it> CVPR Workshop on Image Matching: Local Features and Beyond 2026 We are happy to announce the annual edition of the Image Matching Workshop, co-located as every year with CVPR 2026. Our goal is to encourage and highlight novel strategies for image matching that deviate from and advance traditional formulations, with a focus on large-scale, wide-baseline matching for 3D reconstruction and pose estimation. Please refer to the following links for more information: - Workshop website: https://image-matching-workshop.github.io - Submission website: https://cmt3.research.microsoft.com/IMW2026 OPEN CHALLENGE The workshop will once again feature an open challenge hosted on Kaggle. This year's challenge extends the previous year one with the purpose of serving as a reference dataset with a larger life span. Teams with best submissions will be invited to present their solutions at the workshop. - Challenge website: https://www.kaggle.com/competitions/image-matching-challenge-2025-ongoing SUBMISSION INSTRUCTIONS We invite paper submissions up to 8 pages, excluding references and acknowledgements. They should use the CVPR template (reviews are double-blind, so please hide author data in the pdf) and be submitted to the CMT site (linked above). Submissions must contain novel work and will be indexed in IEEE Xplore/CVF. They will receive at least two double-blind reviews. We welcome PC self-nominations. If you?re willing to review for the workshop, please reach out at image-matching at googlegroups.com. IMPORTANT DATES - Paper submission deadline: March 16, 2026. - Notification to authors: April 6, 2026. - Camera-ready deadline: April 8, 2026 (hard deadline on April 11). - Workshop date: TBC (June 3 or 4, 2026). From xiao at gmu.edu Mon Jan 12 14:55:28 2026 From: xiao at gmu.edu (Xuesu Xiao) Date: Mon, 12 Jan 2026 19:55:28 +0000 Subject: Connectionists: [jobs] Tenure/tenure-track and teaching faculty positions at GMU Message-ID: <2752CE6F-24D4-4595-AE7A-4255BCB99F0E@gmu.edu> Dear roboticists, the Department of Computer Science at George Mason University (GMU) is hiring tenure-track and tenured and teaching faculty at all ranks and in all subject areas. This includes robotics. The full consideration deadlines are Thursday and Friday, January 15th and 16th. We are a large department (80+ faculty) with wide-ranging research interests including robotics, cybersecurity, systems and networks, machine learning and data mining, artificial intelligence, visual computing, theory, databases, bioinformatics, HCI, and software engineering. The Computer Science Department is ranked 31 on CSRankings (USA). GMU is Virginia's largest public research university. GMU is R1. GMU is located in the suburbs of Washington, DC, a major metropolitan area (Arlington and Fairfax). It's really nice here. If you have any questions about GMU or the DC area, please contact me. GMU CS: The tenure/tenure-track ad: The teaching-track ad: Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://people.cs.gmu.edu/~xiao/ https://robotixx.cs.gmu.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1584 bytes Desc: not available URL: From suashdeb at gmail.com Tue Jan 13 02:31:01 2026 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 13 Jan 2026 13:01:01 +0530 Subject: Connectionists: Flyer of ISCMI26 (Vienna, Austria) Message-ID: friends and esteemed colleagues, Warm greetings for a Very happy 2026! The flyer of ISCMI26, to be held in Vienna, is ready. You can download it from the website of the conference https://www.iscmi.us/ISCMI-CFP.pdf Kindly disseminate it among the peers in your network and give it a wide publicity. Thanks in advance and with best rgds, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: From viktor.jirsa at univ-amu.fr Tue Jan 13 07:09:19 2026 From: viktor.jirsa at univ-amu.fr (Viktor Jirsa) Date: Tue, 13 Jan 2026 13:09:19 +0100 Subject: Connectionists: =?utf-8?q?EBRAINS_Webinar=3A_Multiscale_Brain_Sim?= =?utf-8?q?ulations_in_EBRAINS_=E2=80=94_from_the_Neuron_to_the_Patient?= Message-ID: Dear colleagues and friends, Please find the following webinar announcement below. Egidio D?Angelo and I will give an intro and overview of multiscale brain simulations in EBRAINS (European infrastructure for digital neuroscience). It would be great to seeing you there. Best, Vik --- Viktor Jirsa Directeur, Institut de Neurosciences des Syst?mes Chief Scientific Officer, EBRAINS AISBL UMR INSERM 1106 Aix-Marseille Universit? Facult? de M?decine, 27, Boulevard Jean Moulin 13005 Marseille, France tel : ++33 (0)4 91 32 42 51 http://ins-amu.fr http://ebrains.eu https://www.thevirtualbrain.org/ Call for Contributions to the EBRAINS 10-Year Roadmap 2026?2036 https://ebrains.eu/news-and-events/2025/call-for-contributions-to-the-ebrains-10-year-roadmap-2026-2036 ?????????????????????????????????? EBRAINS Webinar: Multiscale Brain Simulations in EBRAINS ? from the Neuron to the Patient Interested in learning how to use the tools and services available on EBRAINS? Join us on Thursday, 5 February 2026, for a dedicated webinar showcasing how EBRAINS supports advanced brain modelling and simulation across scales, from detailed single-neuron models to whole-brain, patient-specific simulations. This webinar will feature presentations by Viktor Jirsa, Chief Science Officer of EBRAINS, and Egidio D?Angelo, Director of the Neurophysiology Unit at the University of Pavia. Together, they will introduce how multiscale brain simulations on EBRAINS enable the integration of data and models across different levels of brain organisation, bridging cellular mechanisms and whole-brain dynamics. Multiscale simulation is a key step toward mechanistic understanding in neuroscience and medicine. By linking models across spatial and temporal scales, EBRAINS allows researchers to move beyond isolated descriptions toward coherent, predictive frameworks that connect experimental data, theory, and clinical application. This webinar will highlight how such approaches are implemented in practice within the EBRAINS ecosystem. It is aimed at neuroscientists, computational modellers, experimental researchers, clinicians, and early-career scientists interested in multiscale brain simulation. No prior experience with EBRAINS is required. Practical information Date: 5 February 2026 Time: 09:00?10:00 (CET) Register here: https://ebrains.eu/news-and-events/events/2026/ebrains-webinar-series-multiscale-brain-simulations-in-ebrains-from-the Agenda 09:00?09:10 Introduction to modelling versus simulation in EBRAINS Viktor Jirsa 09:10?09:30 Single-neuron-based simulation in EBRAINS Egidio D?Angelo 09:30?09:50 Virtual brain-based simulation in EBRAINS Viktor Jirsa 09:50?10:00 Q&A -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1545 bytes Desc: not available URL: From james.m.d.humble at gmail.com Tue Jan 13 07:05:27 2026 From: james.m.d.humble at gmail.com (James Humble) Date: Tue, 13 Jan 2026 07:05:27 -0500 Subject: Connectionists: JoVE topical collection: Computational Approaches to Synaptic Pathology Message-ID: A topical collection in JoVE on *Computational Approaches to Synaptic Pathology *welcomes abstract and article submissions. JoVE is the leading peer-reviewed scientific methods video journal, aimed at increasing the visibility and reproducibility of research. JoVE's team takes care of the entire process of filming and producing your video. Articles accepted include method articles, research articles, case reports, and review articles. *Description*: This collection aims to highlight computational methodologies and their applications in understanding, diagnosing, and treating synaptic pathologies. Disruptions at the synapse are central to a wide range of neurological and neuropsychiatric disorders, including Alzheimer?s disease, Parkinson?s disease, epilepsy, schizophrenia, and autism spectrum disorders. As the global burden of these conditions continues to grow, there is an urgent need for innovative approaches that can accelerate mechanistic discovery and translation into clinical practice. Computational strategies provide powerful tools to integrate multi-scale and multimodal data, uncover disease mechanisms, model synaptic dysfunction, predict disease progression, and identify novel therapeutic targets. By bringing together advances in data-driven modeling, simulation, and analytics, this collection seeks to advance our understanding of synaptic pathology and support the development of more precise diagnostic and therapeutic strategies. *Website*: https://app.jove.com/methods-collections/4617/computational-approaches-to-synaptic-pathology *Article submission portal*: https://www.editorialmanager.com/jove/default.aspx *Abstract submission portal*: https://app.jove.com/methods-collections/submit-an-abstract?collection_id=4617 -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Tue Jan 13 08:18:29 2026 From: alessandra.sciutti at gmail.com (alessandra.sciutti at gmail.com) Date: Tue, 13 Jan 2026 14:18:29 +0100 Subject: Connectionists: [Meetings] CFP - IEEE Int. Conf. Development and Learning (ICDL) 2026 In-Reply-To: <002501dc848e$753592e0$5fa0b8a0$@gmail.com> References: <002501dc848e$753592e0$5fa0b8a0$@gmail.com> Message-ID: <002c01dc848f$1c3d4740$54b7d5c0$@gmail.com> ----------------------------------- CfP IEEE ICDL 2026 ----------------------------------- https://attend.ieee.org/icdl-2026/ 15?18 September 2026 in Kyoto, Japan 2026 IEEE International Conference on Development and Learning (ICDL) We invite submissions that advance our understanding of the development and learning of intelligent systems?both natural and artificial. ICDL brings together researchers from developmental science, neuroscience, psychology, cognitive science, robotics, and artificial intelligence, fostering interdisciplinary dialogue on embodied, cognitive, and lifelong learning. In ICDL 2026, we continue to promote a broad range of contributions and highlight two Challenge Awards (BabyBot Challenge and BabyObserve Challenge), which encourage strong connections between computational modeling, developmental phenomena, and robotics. ----------------------------------- Important Deadlines ----------------------------------- March 13, 2026 (23:59 AoE) - Full Papers (6 pages; up to +2 pages with fee) - Workshop & Tutorial Proposals April 1, 2026 (23:59 AoE) - Journal Presentations June 12, 2026 (23:59 AoE) - Late-Breaking Results (1?2 pages) ----------------------------------- Keynote Speakers ----------------------------------- - Yukiyasu Kamitani (Kyoto University, Japan) - Victoria Leong (Nanyang Technological University, Singapore) - Georg Martius (MPI-IS / University of T?bingen, Germany) - Tim Verbelen (VERSES, USA) More speakers will be announced soon. ----------------------------------- Topics ----------------------------------- ICDL is a unique conference gathering researchers from computational sciences (robotics, AI, cognitive architectures) and developmental studies (psychology, linguistics, anthropology, neuroscience, philosophy). We welcome submissions on topics including, but not limited to: - general principles and theories of development and learning - embodied learning in biological systems and robots - development of motor, perceptual, and cognitive skills - developmental stages and sensitive periods - architectures for cognitive development and lifelong learning - emergence of body knowledge and affordance perception - motor learning and control of body movements - curiosity, intrinsic motivations, exploration, play, active learning - prediction, planning, and problem solving - developmentally inspired machine learning - applications of machine learning to human and animal development - AI and machine learning methods for developmental and behavioral sciences - emotional development and the role of emotion in learning - emergence of verbal and nonverbal communication - metacognitive skills and explicit communication - human?human and human?system interaction - epistemological and philosophical foundations - relationships between evolution and development - ethics in modeling learning and development ----------------------------------- Submission ----------------------------------- ICDL 2026 accepts four types of submissions. Full Papers (6 pages + optional 2 pages) Deadline: March 13, 2026 (23:59 AoE) Original, mature research contributions. Accepted papers will be presented orally or as posters and included in the IEEE ICDL 2026 Proceedings on IEEE Xplore. Workshops & Tutorials Deadline: March 13, 2026 (23:59 AoE) We invite proposals for half-day or full-day workshops or tutorials (optionally including competitions). Journal Presentations Deadline: April 1, 2026 (23:59 AoE) Poster presentations of journal papers published between April 2025 and March 2026. Late-Breaking Results (1?2 pages) Deadline: June 12, 2026 (23:59 AoE) For late-breaking or early-stage research. Accepted submissions will be presented as posters but not included in IEEE Xplore. For detailed submission instructions, please refer to: - https://attend.ieee.org/icdl-2026/contribute/call-for-papers/ - https://attend.ieee.org/icdl-2026/contribute/call-for-workshops-tutorials/ ----------------------------------- Challenge Awards ----------------------------------- BabyBot Challenge Award Recognizes computational models that strongly connect developmental psychology with robotics or computational modeling. Evaluated on: ? representation of targeted experimental phenomena ? replication of empirical findings and parsimony ? clarity of cognitive mechanisms and novel insights/predictions Authors may opt-in during submission. BabyObserve Challenge Award Highlights novel or "edge case" observational phenomena in child development that may inspire computational modeling. Evaluated on: ? novelty and importance of the phenomenon ? clarity for inspiring computational models ? theoretical grounding and links to existing literature Authors may opt-in during submission. General Chair: Tadahiro Taniguchi Program Chair: Shingo Murata Program Co-Chairs: Tatsuya Daikoku, Pablo Lanillos, Junko Kanero, Alejandra Ciria, Namiko Saito ---------------------------------------- Alessandra Sciutti (PhD) Senior Researcher Tenure Track ? P.I. CONTACT Unit Istituto Italiano di Tecnologia ? Via Enrico Melen 83, Building B 16152 Genova, Italy email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ An intro on my research (Video, Eng): https://youtu.be/LCkOjR_cvxI TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc Our book on Modeling Human Motion: https://www.springer.com/gp/book/9783030467319 twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From xkobeleva at gmail.com Tue Jan 13 10:23:33 2026 From: xkobeleva at gmail.com (xkobeleva at gmail.com) Date: Tue, 13 Jan 2026 16:23:33 +0100 Subject: Connectionists: 2 PhD positions available on Whole-Brain Neural Mass Modeling and Parameter Estimation Message-ID: <006501dc84a0$94e5e380$beb1aa80$@gmail.com> Dear subscribers, I'm happy to announce 2 PhD positions in our Computational Neurology lab located at the Institute for Neural Computation https://www.ini.rub.de/ and Bernstein Node Bochum at Ruhr University, Bochum, Germany. Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural mass modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. We invite applications for two PhD projects on network neural mass modeling and parameter inference in neurodegenerative diseases (e.g., Alzheimer's Disease) and in healthy participants. Details can be found here: https://www.ini.rub.de/the_institute/jobs/2_phd_positions_fmd_in_computation al_neurology/, and if you have questions regarding the positions, please reach out to me: https://computationalneurology.com Feel free to forward to anyone who might be interested. Best regards Prof. Dr. Xenia Kobeleva -------------- next part -------------- An HTML attachment was scrubbed... URL: From jpezaris at gmail.com Tue Jan 13 12:41:10 2026 From: jpezaris at gmail.com (John Pezaris) Date: Tue, 13 Jan 2026 12:41:10 -0500 Subject: Connectionists: AREADNE 2026 Abstract Submission Open Message-ID: AREADNE 2026 Research in Encoding and Decoding of Neural Ensembles Eliopoulos Conference Center, Milos, Greece 23-27 June 2026 Celebrating 20 Years of AREADNE Conferences http://areadne.org info at areadne.org **** SECOND CALL FOR ABSTRACTS **** Abstract submissions for poster presentation at AREADNE 2026 are now open. AREADNE 2026 will bring world-wide scientific leaders to present theoretical and experimental results on the functioning of neuronal ensembles. This eleventh AREADNE meeting will be held at the Eliopoulos Conference Center in Milos, Greece, providing an informal and beautiful setting for discussion of cutting-edge ideas and discoveries in an intensive yet relaxed forum that emphasizes interaction. As part of our mission to promote neuroscience in Greece, and thanks to our sponsors, we will have support for Greek students and post-docs in the form of registration waivers for a limited number of accepted poster abstracts. For submission details, see http://areadne.org/call-for-abstracts Abstracts for poster presentations are due by 30 January 2026; notifications will be provided by 3 March 2026. 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 in Milos! --- Nicholas Hatsopoulos John Pezaris AREADNE 2026 Co-Chairs From umberto.ferraro at uniroma1.it Tue Jan 13 11:26:25 2026 From: umberto.ferraro at uniroma1.it (Umberto Ferraro Petrillo) Date: Tue, 13 Jan 2026 17:26:25 +0100 Subject: Connectionists: [CIBB 2026] Call for Special Session Proposals Message-ID: [This announcement may be of interest to members of the Connectionists community] ===================================================================== CIBB 2026: CALL FOR SPECIAL SESSION PROPOSALS ===================================================================== Dear CIBB Enthusiasts and Newcomers, The 21st edition of the Computational Intelligence Methods for Bioinformatics and Biostatistics conference (CIBB 2026) will take place at Sapienza University of Rome from 2 to 4 September 2026. CIBB 2026 continues its tradition as an international, multidisciplinary forum focused on advanced computational techniques for bioinformatics, biostatistics, and medical informatics. --------------------------------------------------------------------- The Call for Special Session Proposals for CIBB 2026 is now open. Special Sessions are intended to provide focused forums on well-defined or emerging research topics within the scope of the conference, promoting both scientific depth and community engagement. ===================================================================== KEY INFORMATION ===================================================================== - Submission deadline: February 12th, 2026 - Each Special Session must include at least 4 accepted papers. In the event that fewer papers are accepted, they will be incorporated into the conference?s main tracks. - The conference will provide a dedicated webpage for each approved Special Session. This page may be used by the proposers to advertise the session, present its scope and objectives, and disseminate information to the research community. - Approved Special Sessions will also be promoted through the official CIBB 2026 communication channels and social media profiles, in coordination with the session proposers. - A Special Session may include one invited speaker, subject to approval by the Scientific Committee. The invited speaker should be a recognized expert with a strong record of contributions to the proposed topic, and should be external from the proposing committee of the special session. In case of approval, all the expenses for the participation of the invited speaker (travel, hotel, meals) should be covered by the special session proposers and not by the CIBB 2026 conference budget. ===================================================================== PROPOSER RESTRICTIONS ===================================================================== - Special Session chairs (up to two selected from the proposers) cannot present any submitted work in the session they are chairing. ===================================================================== HOW TO SUBMIT ===================================================================== - Special Session proposals must be submitted through the following online form: https://cibb2026.teralab.ai/calls/special-session-proposals-form/ --------------------------------------------------------------------- For more details, please visit the CIBB 2026 conference website: https://cibb2026.teralab.ai/ If you have any questions or require further information, please do not hesitate to contact us at: cibb2026 at uniroma1.it --------------------------------------------------------------------- We look forward to the opportunity to collaborate with you if you choose to submit a proposal and, in any case, to warmly welcome you to the 21st edition of the CIBB conference! ===================================================================== -- Umberto Ferraro Petrillo PhD, Full Professor Dipartimento di Scienze Statistiche Universita' di Roma -- La Sapienza P.le Aldo Moro, 5 -- *Fai crescere le giovani ricercatrici e i giovani ricercatori*** *con il? 5?per?mille?alla Sapienza* Scrivi il codice fiscale dell'Universit?? *80209930587 **Cinque?per?mille * -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbraun at northwestern.edu Tue Jan 13 11:46:46 2026 From: rbraun at northwestern.edu (Rosemary I Braun) Date: Tue, 13 Jan 2026 16:46:46 +0000 Subject: Connectionists: Summer Undergrad Research at the Math-Bio interface Message-ID: <2945BB2C-C6D9-4941-9277-AFEFC88AB94B@northwestern.edu> Dear all, Please share this with interested students and colleagues! ---------------------------------------------- Applications for the 2026 Summer Undergraduate Research Program at the National Institute for Theory and Mathematics in Biology (NITMB) are open. ? The NITMB Summer Undergraduate Research Program offers summer fellowships to undergraduates to engage in research at the interface between mathematics and biology. Students majoring in mathematics, biology, statistics, computer science, or related fields are invited to participate in hands-on laboratory or computational research that applies quantitative concepts and methodology to understanding mechanisms in biology. More information: https://www.nitmb.org/surp Apply here: https://uchicago.infoready4.com/#freeformCompetitionDetail/1999482 Applications for the Summer 2026 program are due Monday, January 26, 2026 by 11:59pm central time -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jan 13 11:28:09 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 13 Jan 2026 18:28:09 +0200 Subject: Connectionists: [seminar.wwtns] Three NEW recordings on the VVTNS YouTube channel In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide - on Youtube > New on the VVTNS YouTube Channel https://www.wwtns.online/past-seminars-2025-2026 *Building on cortical models* Lecture delivered on December 10, 2025 by Markus Diesmann J?lich Research Centre ----------------------------------------------------------- *Learning mechanistic models that link cells, circuits, and computations * Lecture delivered on December 17, 2025 by Jakob Macke Tubingen University ----------------------------------------------------------- *Towards using large-scale, cross-brain neuronal recordings* *to identify the brain?s internal signals* VVTNS 2026 Opening Lecture delivered on January 7, 2026 by Carlos Brody Princeton Neuroscience Institute *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From samuel.kaski at manchester.ac.uk Tue Jan 13 11:58:10 2026 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Tue, 13 Jan 2026 16:58:10 +0000 Subject: Connectionists: A number of machine learning postdoc positions in ELLIS Institute Finland, DL Feb 9 Message-ID: ELLIS Institute Finland is hiring postdoctoral researchers in AI + machine learning. World-class resources for research incl. LUMI supercomputer, dozens of supervisors across Finnish universities, and close collaboration with companies and the ELLIS network. Apply by February 9: https://www.ellisinstitute.fi/postdoc-recruit-2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.natali6 at campus.unimib.it Wed Jan 14 16:35:07 2026 From: c.natali6 at campus.unimib.it (Chiara Natali) Date: Wed, 14 Jan 2026 22:35:07 +0100 Subject: Connectionists: [CfP] Distributed Agency and Multimodal AI Interfaces: Meaning, Human-Centric Implications, and Pathways to Design and Implementation Message-ID: Distributed Agency and Multimodal AI Interfaces: Meaning, Human-Centric Implications, and Pathways to Design and Implementation Half-Day Workshop @AVI 2026 ? 18th International Conference on Advanced Visual Interfaces Date: June 8 or 9, 2026 (TBD) Location: San Servolo Island, Venice, Italy ?? This workshop focuses on how agency, meaning, and creativity are distributed between humans and AI in multimodal and multi-agent systems. Through paper presentations and hands-on activities, we will discuss urgent questions about responsibility and accountability, trust and appropriate reliance, creative authorship and co-creation, and meaningful human?AI decision-making. The keynote will be delivered by Prof. Luca Vigan? (King's College London). We welcome submissions from disciplines such as computer science, psychology, philosophy, interested in multimodal AI systems, human?AI interaction, and human and artificial creativity. Topics include, but are not limited to: - Multimodal interfaces - Human?AI interaction - Multi-agent systems and agency - Trustworthy and explainable AI - Human creativity and artificial creativity - Co-creativity and collaborative systems - Designed friction and intentional constraints Submission Type: Extended Abstracts (500-1.000 words) Submission Deadline: March 29, 2026 Notification of acceptance: April 10, 2026 How to Submit: See workshop website for submission instructions and templates: https://emme3.github.io/DAMAI/ Co-organizers: Umberto Domanti (Free University of Bozen-Bolzano), Angela Faiella (University of Bologna), Caterina Moruzzi (University of Edinburgh), Chiara Natali (University of Milano-Bicocca), Anna Rezk-Parker (University of Glasgow), and Mario Mirabile (University of Santiago de Compostela) -------------- next part -------------- An HTML attachment was scrubbed... URL: From aydeniza at oregonstate.edu Wed Jan 14 12:55:16 2026 From: aydeniza at oregonstate.edu (Aydeniz, Ayhan Alp) Date: Wed, 14 Jan 2026 17:55:16 +0000 Subject: Connectionists: 2nd CfP: Adaptive and Learning Agents Workshop (ALA) at AAMAS 2026 (Paphos, Cyprus) Message-ID: ** Apologies if you receive more than one copy. Please share with students and colleagues. ** Dear all, We are organizing the next iteration of the Adaptive and Learning Agents (ALA) workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) in Paphos, Cyprus. Please find the Call for Papers below. ******************************************************* Adaptive and Learning Agents Workshop at AAMAS (Paphos, Cyprus) Submission deadline: 4 February 2026 ******************************************************* TL;DR: * Workshop with a long and successful history, now in its seventeenth edition. * Covering all aspects of adaptive and learning agents and multi-agent systems research. * Open to original research papers, work-in-progress, and visionary outlook papers, as well as presentations on recently published journal papers. * ACM proceedings (AAMAS) format up to 8 pages (excluding references) for original research, up to 6 pages for work-in-progress and outlook papers (shorter papers are also welcome and will not be judged differently), and 2 pages for recently published journal papers. * Accepted papers are eligible for inclusion in a post-proceedings journal special issue. * Submission Instructions: https://alaworkshop2026.github.io/ ******************************************************* IMPORTANT DATES: * Submission Deadline: February 4, 2026 * Notification of acceptance: March 20, 2026 * Camera-ready copies: April 10, 2026 * Workshop: May 25 & 26, 2026 ******************************************************* OVERVIEW Adaptive and Learning Agents (ALA) brings together researchers working on learning, adaptation, and autonomous behaviour in single- and multi-agent systems. The workshop welcomes contributions from across computer science (including reinforcement learning, agent architectures, evolutionary computation, planning, and game theory) as well as from related fields such as cognitive science, biology, economics, and the social sciences. ALA aims to foster collaboration, highlight recent advances, and provide a representative overview of current research on adaptive and learning agents. It serves as an inclusive forum for discussing both theoretical foundations and practical applications, spanning topics such as learning and adaptation in dynamic or open-ended environments, coordination and communication among multiple agents, incentive and mechanism design, and the emergence of collective behaviour in complex systems. The workshop places particular emphasis on emerging learning paradigms and on methods that enable agents to operate reliably in large-scale, uncertain, or evolving environments. We encourage work that extends established techniques or introduces new frameworks to address the challenges of real-world adaptive and multi-agent systems. Topics of interest include, but are not limited to: * Reinforcement learning (single- and multi-agent) * Representation learning for single- and multi-agent systems * Adaptation in dynamic environments * Foundation models for adaptive (multi-)agent systems * Multi-objective optimisation in single- and multi-agent systems * Model-based RL and planning with learned world models (single- and multi-agent) * Batch and offline (multi-agent) reinforcement learning * Integrating learning with symbolic or game-theoretic reasoning * Game theoretical analysis of adaptive multi-agent systems * Neurosymbolic and logical reasoning for (multi-agent) decision-making * Safety, robustness, and trustworthy (multi-agent) reinforcement learning * Decentralized, federated, and communication-aware multi-agent learning * Evolutionary and open-ended learning in multi-agent populations * Co-evolution of agents in a multi-agent setting * Cooperative exploration and learning to cooperate and collaborate * Learning and modelling trust, reputation, and social norms in human?AI and multi-agent * systems * Emergent behaviour in adaptive multi-agent systems * Multi-agent reinforcement learning and control for cyber-physical systems and robotics * Self-organizing, swarm, and bio-inspired adaptive multi-agent systems * Human-in-the-loop learning systems * Applications of adaptive and learning agents and multi-agent systems to real world complex systems In addition to these topics, this year we are interested in exploring negative results that can serve as guidelines for early-stage researchers in the field of adaptive and learning single/multi-agent systems. ******************************************************* SUBMISSION DETAILS Papers can be submitted through OpenReview, with instructions found on the workshop website: https://alaworkshop2026.github.io/ We invite submission of original work, up to 8 pages in length (excluding references) in the ACM proceedings format (i.e. following the AAMAS formatting instructions). This includes work that has been accepted as a poster/extended abstract at the AAMAS 2026 conference. Additionally, we welcome submission of preliminary results, i.e. work-in-progress, as well as visionary outlook papers that lay out directions for future research in a specific area, both up to 6 pages in length, although shorter papers are very much welcome, and will not be judged differently. Finally, we also accept recently published journal papers in the form of a 2-page abstract. All submissions will be peer-reviewed (double-blind). Accepted work will be allocated time for poster and possibly oral presentation during the workshop. We look forward to receiving your submissions, - The Organizers A. Alp Aydeniz (Oregon State University) Florent Delgrange (Vrije Universiteit Brussel) Montaser Mohammedalamen (University of Alberta) Xue Yang (University of Galway) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ymourchid at cesi.fr Thu Jan 15 01:28:34 2026 From: ymourchid at cesi.fr (MOURCHID Youssef) Date: Thu, 15 Jan 2026 06:28:34 +0000 Subject: Connectionists: =?utf-8?q?Call_for_Workshops_=7C_ISCS_2026_-_June?= =?utf-8?q?_03=E2=80=9305=2C_2026_=7C_La_Rochelle=2C_France?= Message-ID: The ISCS 2026 Organizing Committee invites proposals for full- or half-day interactive workshops on Complex Systems. We welcome multidisciplinary workshops that promote collaboration and address emerging or cross-cutting topics. Workshops may include presentations, discussions, panels, demos, or hands-on activities. Key Details * Formats: Full-day or Half-day * Deadline: January 26, 2026 * Organizers: Responsible for program design and (if applicable) paper review Submission (2?4 pages, PDF): Title, scope, organizers, format, expected participants, and logistical needs. Accepted contributions may appear in the ISCS 2026 companion proceedings, with potential publication opportunities. ? Submit via CMT: https://cmt3.research.microsoft.com/ISCS2026/ (Select Workshop Proposal) ? Website: https://iutdijon.u-bourgogne.fr/iscs/ Join us in advancing Complex Systems Science! ISCS 2026 Organizing Committee [cid:image001.png at 01DC85F0.8E230FE0] Youssef MOURCHID Enseignant-Chercheur UR 7527 Tel : +33 (0)7 88 33 17 65 22 B Rue du Cap Vert, 21800 Quetigny [cid:image002.png at 01DC85F0.8E230FE0] [cid:image003.png at 01DC85F0.8E230FE0] [cid:image004.png at 01DC85F0.8E230FE0] [cid:image005.png at 01DC85F0.8E230FE0] [cid:image006.png at 01DC85F0.8E230FE0] lineact.cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 5253 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.png Type: image/png Size: 714 bytes Desc: image006.png URL: From hari20002010 at gmail.com Thu Jan 15 05:26:35 2026 From: hari20002010 at gmail.com (Hariharan Arunachalam) Date: Thu, 15 Jan 2026 11:26:35 +0100 Subject: Connectionists: Call for Papers - TRAIL Conference April 2026 - Catania, Italy Message-ID: Dear Colleagues, We have extended the deadline for submissions of the 1st Transparent and Interpretable Robots (TRAIL) Conference to the 31st of January. It will be taking place April 16 - April 17 2026 in Catania, Italy Conference website : https://sites.google.com/view/trail-conference About the conference : This conference is ideal for early?career researchers and students, offering a friendly environment to present short contributions ? including work-in-progress, novel concepts, and early results. It?s a great opportunity to receive constructive feedback and build international collaborations. There are no registration fees, since this event is proudly supported by the TRAIL Marie Sk?odowska?Curie European Union project ( https://www.inf.uni-hamburg.de/research/projects/trail.html), promoting transparency and interpretability in human?robot interaction. Topics include (but not limited to): - Causal and Counterfactual Reasoning in AI (including but not limited to Neural Networks) - Cognitive Modeling for Interpretable and Human-Aligned AI - Evaluation for Explainability, Trust, Transparency, and Faithfulness - Explainable Reinforcement Learning (RL) - Failure Recognition, Assessment, and Recovery in Robotic Scenarios - Foundation models for Interpretability and Transparency - Human and Context Awareness in Robotics - Interactive Visualization and Explanation Interfaces - Interpretable and Transparent Robot Behavior - Knowledge-Based Robotic Design - Multimodal and Grounded Explanations (Vision, Language, and Sensor Data) - Multimodality and Language Grounding in Vision, Sound, Robotics, and Beyond - Navigation, Planning, and Control in Robotic Systems - Post-hoc Explanation Techniques - Robotic Decision-Making - Security and Ethics AI in Explainable Systems - Trustworthiness, Faithfulness, and Robustness in AI and Robotics Dates : Extended Abstract Deadline: 16th January, 2026 31st January 2026 Acceptance Notification: 13th February, 2026 27th February 2026 Camera Ready Deadline: 14th March, 2026 20th March 2026 Venue : The Conference will be collocated with SWEET Spring School at : Museo della Rappresentazione Via Etnea, 742, 95128 Catania CT, Italy Submission Guidelines : Authors are invited to submit original contributions (2-4 Pages excluding appendix and references) following the format provided at the website : https://sites.google.com/view/trail-conference/call-for-papers We look forward to your contributions and seeing you at Catania ! Best Regards, TRAIL Conference Organisers -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Thu Jan 15 12:40:24 2026 From: dhansel0 at gmail.com (David Hansel) Date: Thu, 15 Jan 2026 19:40:24 +0200 Subject: Connectionists: New recording on the VVTNS YouTube channel: David Clark, Kempner Institute at Harvard University | Computation Through Neuronal-Synaptic Dynamics In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide - on Youtube > New on the VVTNS YouTube Channel https://www.wwtns.online/past-seminars-2025-2026 *Computation Through Neuronal-Synaptic Dynamics* lecture delivered on January 14, 2026 by David Clark Kempner Institute at Harvard University *Abstract: *Computations in neural circuits are often construed as being implemented through the coordinated dynamics of neurons. In this picture, the role of synaptic connectivity is to sculpt neuronal dynamics to implement computations of interest. Of course, synapses are not static but change on a variety of timescales, including fast timescales comparable to those of neurons. Thus, a more accurate view of computation in neural circuits may involve the coupled dynamics of neurons and synapses. This form of computation is closer to what is implemented by Transformers via an equivalence between ongoing synaptic plasticity and self-attention. I will first describe a nonlinear recurrent neural-network model with ongoing Hebbian dynamics of ?fast? synapses atop unstructured ?slow? synapses. I will then describe two computations implemented through neuronal-synaptic dynamics, which can be studied in this model using techniques including dynamical mean-field theory and random-matrix theory. First, there exists a novel phase termed ?freezable chaos? in which a stable fixed point of neuronal dynamics is continuously destabilized by synaptic dynamics. This allows for the creation of a stable fixed point at any neuronal state visited by the network by halting synaptic plasticity. Second, I will describe an effect termed ?persistent oscillations? in which, following stimulation by a periodic signal, a plastic network continues to autonomously reproduce a similar signal for a duration exceeding any intrinsic timescale in the system. Thus, ongoing Hebbian plasticity can provide a dynamic form of working memory, complementing the static form provided by freezable chaos. Ongoing experimental work suggests that this effect is realized in cortical organoids. Overall, this line of work suggests that synapses should be promoted to first-class dynamical degrees of freedom in our conceptual understanding of neural-circuit function. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From annika.schuster at tu-dortmund.de Thu Jan 15 09:42:21 2026 From: annika.schuster at tu-dortmund.de (Schuster, Annika Noel) Date: Thu, 15 Jan 2026 14:42:21 +0000 Subject: Connectionists: Call for Participation Workshop: AI & Understanding: Between Science, Logic, and Cognition Message-ID: <41fcaa986e214e46852a7dfa3b8f5ffc@tu-dortmund.de> We invite researchers, scholars, and practitioners to participate in the workshop "AI & Understanding: Between Science, Logic, and Cognition" on the 25th of February at TU Dortmund University, Germany. This workshop examines the concept of understanding in artificial intelligence from an interdisciplinary perspective, situated at the intersection of computer science, formal logic, and cognitive science. It aims to critically analyze the theoretical foundations and conceptual assumptions underlying contemporary AI systems with respect to understanding and cognition. By bringing together scientific, logical, and cognitive perspectives, the workshop provides a forum for rigorous discussion on the possibilities and limitations of understanding in the context of AI, as well as its broader epistemological implications. Speakers: Gabriele Kern-Isberner, Donal Khosrowi, Katharina Morik, Nina Poth, Annika Schuster, Carlos Zednik In person participation is free but space is limited. We adopt a first-come first-serve policy. If you would like to participate online or in person, please register here: https://docs.google.com/forms/d/e/1FAIpQLSf8VEKoTJjQOskOaldeO8tcpmOcVa_2Sgep41IPt3qel8SfIw/viewform For more information, please visit https://udnn.tu-dortmund.de/index.php/activities/workshop-ai-understanding-between-science-logic-and-cognition/. For inquiries, please contact the organizers at udnn.ht at tu-dortmund.de. Organizers: Annika Schuster, Frauke Stoll, and Florian J. Boge -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Thu Jan 15 17:18:02 2026 From: xiao at gmu.edu (Xuesu Xiao) Date: Thu, 15 Jan 2026 22:18:02 +0000 Subject: Connectionists: [meetings] [news] The 5th Benchmark for Autonomous Robot Navigation (BARN) Challenge -- ICRA 2026 Competition Message-ID: <0AA8B120-2F0F-40A2-9F5D-196317262DE2@gmu.edu> Submission Form: https://docs.google.com/forms/d/e/1FAIpQLSeIwC6GY_mAl1J18G1uZOaAn-OCONmmtaP_HRAtxkaeM72ufw/viewform Competition Website: https://people.cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge26.html ROS Participation Instructions: https://github.com/Daffan/the-barn-challenge ROS2 Participation Instructions: https://github.com/Saadmaghani/The-Barn-Challenge-Ros2 Lessons Learned from The BARN Challenge 2025: https://people.cs.gmu.edu/~xiao/papers/barn25_report.pdf Lessons Learned from The BARN Challenge 2024: https://people.cs.gmu.edu/~xiao/papers/barn24_report.pdf Lessons Learned from The BARN Challenge 2023: https://people.cs.gmu.edu/~xiao/papers/barn23_report.pdf Lessons Learned from The BARN Challenge 2022: https://people.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 The 5th BARN Challenge at ICRA 2026 (https://people.cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge26.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 ICRA 2026. 1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://people.cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA 2026 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/1FAIpQLSeIwC6GY_mAl1J18G1uZOaAn-OCONmmtaP_HRAtxkaeM72ufw/viewform Co-Organizers: Xuesu Xiao (George Mason University) Zifan Xu (UT Austin) Saad Abdul Ghani (George Mason University) Aniket Datar (George Mason University) Daeun Song (George Mason University) 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://people.cs.gmu.edu/~xiao/ https://robotixx.cs.gmu.edu/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1584 bytes Desc: not available URL: From massimo.srt at gmail.com Fri Jan 16 04:59:42 2026 From: massimo.srt at gmail.com (Massimo Sartori) Date: Fri, 16 Jan 2026 10:59:42 +0100 Subject: Connectionists: [jobs] Postdoc on Predictive Control of Ankle Muscle-Tendon Dynamics via Wearable Robotic Exoskeletons (University of Twente, Netherlands) Message-ID: I have a new job opening on an exciting topic for a PostDoc . Job: FullTime, 2-year position (with possible 6-month extension) Location: University of Twente Application deadline: 15 February 2026 Are you passionate about advancing wearable robotics and human-robot interaction? We are seeking a highly motivated Postdoctoral Researcher to develop real-time, predictive control systems (AI-powered, Model-Based) for robotic ankle exoskeletons that can regulate ankle muscle-tendon forces in closed loop during human locomotion. Apply via this link: https://utwentecareers.nl/en/vacancies/2352/post-doc-opening-predictive-control-of-leg-muscle-dynamics-via-wearable-exoskeletons/ Useful references: https://ieeexplore.ieee.org/abstract/document/10964841 --- Massimo Sartori Full Professor and Head of Chair, Neuromuscular Robotics Lab Head, Neubotics 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 stefania.dellapenna at unich.it Fri Jan 16 10:39:54 2026 From: stefania.dellapenna at unich.it (Stefania Della Penna) Date: Fri, 16 Jan 2026 16:39:54 +0100 Subject: Connectionists: Updates on the Online Workshop "THE PREDICTIVE ROLE OF CONNECTED DYNAMICAL SYSTEMS" Message-ID: Dear all, this is an update following the announcement of the online workshop THE PREDICTIVE ROLE OF CONNECTED DYNAMICAL SYSTEMS that will take place on Jan 20^th ?from 11:00 to 16:00 CET . We now provide the detailed program of the scheduled talks. *IMPORTANT: PLEASE BE AWARE THAT THE DEADLINE FOR THE REGISTRATION IS JANUARY 19^TH ?AT 1:00 PM (CET)* ? January 20, 2026 | ? Online | ? Registration?(closes on Jan 19th at 1 pm(CET))?: Free and open to all at the link https://www.pspweb.it/workshop/workshop-20-january/ TOPICS: The dynamics of MEG large-scale brain connectivity and their predictive power. *Why Attend? * Understanding how brain networks dynamically interact is key to unlocking the mechanisms of large-scale communication and behavior. While normative functional connectomes are now robust, widely available, and impactful across clinical and scientific domains, critical questions remain open: ? What is the functional meaning of spectral and temporal dynamics in resting-state connectomes? ? Which mechanisms give rise to these dynamics? ? How can individual dynamical features be leveraged to predict behavior? This workshop will tackle these questions head-on. *Workshop Focus * Through cutting-edge methods and real-world applications, the workshop will explore how rich information can be extracted from brain connected dynamical systems, including: ? Advanced tools for analyzing large-scale brain dynamics ? Mechanisms underlying specific dynamical patterns ? Individual-level dynamical features and their predictive relevance By bringing together leading experts in methodology and applications, the workshop will offer a multifaceted perspective on this rapidly evolving field and foster meaningful scientific exchange and collaboration. A Truly Multidisciplinary Experience The talks span disciplines?from computational neuroscience and physics to clinical and cognitive applications?creating a fertile ground for lively discussion, cross-pollination of ideas, and new collaboration ORGANIZERS Stefania Della Penna (University G. d?Annunzio of Chieti-Pescara) Francesco de Pasquale (University of Teramo) -- Stefania Della Penna Full Professor of Applied Physics (Cultural Heritage, Environment, Biology, Medicine) Institute for Advanced Biomedical Technologies and Department of Neuroscience, Imaging and Clinical Sciences University of Chieti-Pescara "G. d'Annunzio" Via dei Vestini - Campus Universitario 66013 Chieti - ITALY ph: +39-0871-3556937 fax:+39-0871-3556930 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Locandina_Workshop_program_FINAL.pdf Type: application/pdf Size: 515389 bytes Desc: not available URL: From akirapunk at gmail.com Fri Jan 16 10:29:39 2026 From: akirapunk at gmail.com (Nicola Catenacci) Date: Fri, 16 Jan 2026 15:29:39 +0000 Subject: Connectionists: Special Issue on Information Storage, Compression and Prediction in Deep Neural Networks Message-ID: Dear colleagues, We invite you to submit to the special issue on "Mathematical Understanding of Information Storage, Compression and Prediction in Neural Networks" (more details can be found here: https://www.frontiersin.org/research-topics/59300). *- The journal(s) -* The special issue is hosted by (alternatively): - Frontiers in Computational Neuroscience (Impact Factor - 2.3, CiteScore - 5.0), or - Frontiers in Neuroinformatics (Impact Factor - 2.5, CiteScore - 5.5). *- Research Topic -* Regardless of their success, today, deep neural networks (NNs) are still used as a "black box", meaning the inner workings or detailed explanations of how they arrive at their output are not revealed. Currently, we still do not have the mathematical tools to fully understand the formal properties of these networks and their limitations. Improving our theoretical understanding of NNs is particularly important today, as these tools are being deployed in an increasing number of safety-critical scenarios, necessitating constant scrutiny of their behavior. The goal of the special issue is to investigate the mathematical frameworks that enable a better understanding of how information is learned and represented within a neuralnetwork, including the study of existing approaches that go in this direction. *- Call for Papers -* We invite researchers to present manuscripts focusing on the mathematical analysis of deep neural networks, including their information-theoretic interpretation and their statistical limits. The areas relevant to this special issue include, but are not limited to: - Theory of Deep Feed-forward and Recurrent NNs - Information-theoretic principles and interpretation of NNs - The Information Bottleneck and deep learning - Compression in Deep Neural Networks - The analysis of pattern and memory storage in NNs - Deep NNs for brain-inspired machine learning and biological modeling - Statistical Physics of deep neural networks - Dynamical Systems Modeling of NNs - Neural Network Dynamics and Stability - Generalization and Regularization in NNs - Learning Theory and Neural Networks - Mathematical Models of Learning and Plasticity - Neural Network Interpretability and Explainability - Energy-Based Models in Deep Learning - Neural Network Compression, Pruning, Sparsity and Efficient Computing - Mathematics of Self-Supervised Deep Learning - Optimization Landscapes and Loss Surface Analysis - Neural Network Generalization and Overparameterization - Mathematical Theories of Transformers and Attention Mechanisms - Theoretical Foundations of Transfer Learning and Domain Adaptation Manuscript Submission Deadline: 15 March 2026. *- Topic Editors -* Giorgio Gosti, Italian National Research Council (CNR), Italy ( giorgio.gosti at cnr.it) Nicola Catenacci Volpi, University of Hertfordshire, United Kingdom ( n.catenacci-volpi at herts.ac.uk) Nilesh Goel, Birla Institute of Technology and Science, United Arab Emirates *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From oezdenizci at tugraz.at Sat Jan 17 14:54:12 2026 From: oezdenizci at tugraz.at (=?UTF-8?Q?Ozan_=C3=96zdenizci?=) Date: Sat, 17 Jan 2026 20:54:12 +0100 Subject: Connectionists: Open PhD Position at the Institute of Machine Learning and Neural Computation, TU Graz Message-ID: Dear all, We have an open PhD position in our research group at the Institute of Machine Learning and Neural Computation, Graz University of Technology, Austria. We are offering a 3-year doctoral researcher position focused on reliable and resource-efficient deep learning techniques, with an emphasis on spike-based neural computation in modern learning systems. The doctoral research will address both fundamental and applied algorithmic questions in learning methods and neural architectures. The starting date for the position is April 2026. More information on the position and how to apply: https://www.tugraz.at/institute/iml/institute/open-positions#c725665 Best regards, Ozan ?zdenizci -- Dr. Ozan ?zdenizci Assistant Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria From i.lin at ucl.ac.uk Fri Jan 16 11:21:40 2026 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Fri, 16 Jan 2026 16:21:40 +0000 Subject: Connectionists: Call for applications: Gatsby Bridging Programme (maths summer school) In-Reply-To: <616DF3D6-F2A7-4549-A180-1B344268C486@ucl.ac.uk> References: <616DF3D6-F2A7-4549-A180-1B344268C486@ucl.ac.uk> Message-ID: <71518F68-8C86-4A30-B54F-F4AFD9FE5AA7@ucl.ac.uk> 22 June - 7 August 2026 (London, UK; in-person attendance only) https://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-bridging-programme? The Gatsby Computational Neuroscience Unit at UCL is running an intensive, 7-week mathematics summer school "Gatsby Bridging Programme". The programme is designed for penultimate-/final-year undergraduates and Master?s students (incl. recent graduates) who wish to pursue a postgraduate research degree in theoretical neuroscience or foundational machine learning but whose degree course lacks a strong mathematical focus. Participants will attend interactive lectures and actively participate in problem-solving sessions and tutorials to develop a solid grounding in mathematics skills and intuition necessary to enter these fields. We aim to be inclusive and to increase the diversity of students entering both fields. We strongly encourage applications from students in underrepresented groups in Science, Engineering, Technology and Mathematics. A small number of bursaries are available to students who may find it difficult to participate for financial reasons. Applications open on 19 January and close on 16 February 2026 - we may need to stop accepting applications earlier if the number received exceeds our capacity to review. We are hosting an information webinar on Friday 23 January 2026 (10-11AM GMT), featuring programme instructors who will provide an overview of the programme and answer your questions live. You will learn what the programme is about, who the programme is for, what the programme does not cover, how a participant should prepare before the programme starts, etc. This webinar is the perfect opportunity to hear directly from the instructors, ask questions, and gain a deeper understanding of whether the programme is for you and how it may enrich your academic journey. Register for the webinar at https://ucl.zoom.us/webinar/register/WN_sx5dZdsNRLmys04d4SjXCA#/registration Please help us reach students who may benefit from this programme. Here are some ways in which you can help spread the word: * Distribute this email among colleagues and relevant students. * Share our posts on social media: ??- Bluesky: https://bsky.app/profile/gatsbyucl.bsky.social/post/3mchsokhfkk2x ??- Mastodon: https://neuromatch.social/@GatsbyUCL/115899632244604421 Thank you. Best, I-Chun (Scientific Programme Manager, Gatsby Unit) From georg.martius at tuebingen.mpg.de Sun Jan 18 12:11:33 2026 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Sun, 18 Jan 2026 18:11:33 +0100 Subject: Connectionists: =?utf-8?q?Postdoc_on_Machine_Learning_for_Earth-S?= =?utf-8?q?ystems_Modelling_at_University_of_T=C3=BCbingen?= Message-ID: Dear colleagues, We seek highly qualified researchers to advance **machine learning for earth systems modelling** to start at the earliest possible date. The project is jointly supervised by Georg Martius, a machine learning and robotics researcher at University T?bingen and Nuno Carvalhais, an earth-systems scientist at MPI-BGC in Jena. The position is fully funded for 2 years. Details: https://uni-tuebingen.de/de/290466 Apply **until 04 Febrary 2026**! Please share within your networks. Best, Georg and Nuno -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature.asc Type: application/pgp-signature Size: 203 bytes Desc: OpenPGP digital signature URL: From dhansel0 at gmail.com Sun Jan 18 03:47:13 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 18 Jan 2026 10:47:13 +0200 Subject: Connectionists: Fwd: [seminar.wwtns] World wide VVTNS series (6th season): Wednesday, January 21, 2026, at 11:00 am ET - Adrien Peyrache, Mc Gill In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Adrien Peyrache Mc Gill on the topic of *Building and Using a Cognitive Map* The lecture will be held on zoom on January 21, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *The hippocampus is thought to build a cognitive map that supports navigation, memory, and planning, but what defines such a map and how it is used remain debated. In this talk, I will present computational models in which hippocampal-like representations emerge in recurrent neural networks trained to predict sequences of sensory observations. While spatially tuned units reliably arise, they are not sufficient to form a cognitive map. Instead, map-like representations emerge when recurrent dynamics support multi-step prediction, yielding a population-level encoding of environmental geometry. Once learned, these representations can autonomously generate offline trajectories biased by recent experience, capturing key features of hippocampal replay. I will then show how these representations guide behavior in navigation tasks. In a hippocampal?striatal model facing visual ambiguity, access to hippocampal activity enables rapid learning and flexible adaptation. Place-like coding supports self-localization, while population-level hippocampal states can be used to derive intrinsic learning signals that estimate progress toward a remembered goal, improving performance beyond full sensory observability. Together, these results suggest that cognitive maps arise from predictive recurrent dynamics and support behavior through both localization and internally generated learning signals. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From emergingtechnetwork.publicity at gmail.com Sun Jan 18 18:25:43 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Mon, 19 Jan 2026 02:25:43 +0300 Subject: Connectionists: AIS 2026: IEEE co-sponsored 2nd International Conference on Artificial Intelligence Systems , 12 - 15 May, 2026 | San Antonio, USA. Message-ID: [Apologies if you got multiple copies of this invitation] *The 2nd International Conference on Artificial Intelligence Systems (AIS 2026*) *Hybrid Event* *https://ais-conference.org/2026/ * *12 - 15 May, 2026 | San Antonio, USA.* *Technically Co-Sponsored by IEEE Lone Star Section* *AIS 2026 CFP:* Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness. The International Conference on Artificial Intelligence Systems (AIS 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AIS 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AIS 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to: ? Machine Learning and Data-Driven Systems ? Natural Language and Multimodal AI Systems ? Generative AI, Foundation Models, and Large Language Models ? Computer Vision, Image and Video Processing ? Artificial Intelligence Systems Applications ? Artificial Intelligence Systems Security ? Computational Language and Human-Centered Systems ? Prompt Engineering and Fine-tuning ? Multimodal LLMs Systems ? Agentic AI Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the AIS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must follow the IEEE paper format. And include up to 7 keywords. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages. *Important Dates:* - *Paper submission deadline: 31 January 2026* - Notification of acceptance: 25 March 2026 - Camera-ready Submission: 10 April 2026 *Contact:* Please send any inquiry on AIS to: info at gaclm.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ymourchid at cesi.fr Mon Jan 19 05:22:20 2026 From: ymourchid at cesi.fr (MOURCHID Youssef) Date: Mon, 19 Jan 2026 10:22:20 +0000 Subject: Connectionists: =?utf-8?q?Launch_Your_Career_in_Complex_Systems_?= =?utf-8?q?=E2=80=93_Apply_for_ISCS_Awards_2026?= Message-ID: We're excited to announce that applications are now open for two ISCS awards celebrating excellence in Complex Systems research: ? Bertalanffy Doctoral Student Award For outstanding Ph.D. candidates under 30 Prize: ?500 + featured presentation at ISCS 2026 Details & Application ? Thom Young Researcher Award For exceptional early-career researchers (?5 years post-Ph.D., under 35) Prize: ?1,000 + presentation opportunity at ISCS 2026 Details & Application Application Deadline: March 11, 2026 Don't miss this opportunity to gain recognition and present at ISCS 2026. Best regards, ISCS 2026 Organizing Committee [cid:image001.png at 01DC8935.9D069AC0] Youssef MOURCHID Enseignant-Chercheur UR 7527 Tel : +33 (0)7 88 33 17 65 22 B Rue du Cap Vert, 21800 Quetigny [cid:image002.png at 01DC8935.9D069AC0] [cid:image003.png at 01DC8935.9D069AC0] [cid:image004.png at 01DC8935.9D069AC0] [cid:image005.png at 01DC8935.9D069AC0] [cid:image006.png at 01DC8935.9D069AC0] lineact.cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 5253 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 577 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.png Type: image/png Size: 714 bytes Desc: image006.png URL: From ioannakoroni at csd.auth.gr Mon Jan 19 06:29:31 2026 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 19 Jan 2026 13:29:31 +0200 Subject: Connectionists: Call for Spring 2026 International AI Doctoral Academy (AIDA) course or seasonal school proposals In-Reply-To: References: Message-ID: <6463724f-6595-43ed-89f5-b645e9302e82@csd.auth.gr> Dear Al Professors, Postdocs or Senior AI researchers, the International AI Doctoral Academy (AIDA ) offers a series of?courses?on Artificial Intelligence and related fields given by distinguished lecturers. AIDA?had an excellent AI?course?offer in the past 4 years: 106 courses?and 14 seasonal schools?with more than 4200 registrants. This semester (Spring 2026),?AIDA is excited to once again present an exciting selection of short, semester?courses?and web-lecture series designed to deepen your knowledge and skills. *We invite you to contribute to?AIDA?Spring semester course program (from Feb. 1st, 2026, to June 30th, 2026) by offering?AIDA courses?and becoming part of this vibrant learning community*. The benefits for offering an AIDA course can be found in: https://www.i-aida.org/why-aida-courses/ You can participate in the?AIDA course program by offering new or opening-up existing?courses?targeted to?AIDA?students*and other students worldwide,according to the participation terms of your own organization. Short/Very?Short?course?formats (5-16 hours) are typically encouraged, while semester?courses, or asynchronous mode web?courses?will be considered as well. See the related AIDA pages: https://www.i-aida.org/phd-studies/short-courses/ https://www.i-aida.org/phd-studies/lecture-series-2/ https://www.i-aida.org/phd-studies/summer-school/ Any qualified Al Professor/Postdoc or Senior AI researcher (PhD holder) can apply to offer a?course or seasonal school, no matter if she/he belongs to a host University that is an?AIDA?member or not. The?course?lecturer(s) and/or their host University/Institution define?course?fees and other?course-related issues. Course/school proposals should be sent to: Prof. Stefano Berretti stefano.berretti at unifi.it,?andto the AIDA secretariat secretariat at i-aida.org They will be evaluated by the?AIDA?Educational Planning Committee. Accepted?courses?will be listed on?AIDA?website?(https://www.i-aida.org/)?and will be promoted through TheAIDA/AUTH?dissemination channels reaching 50K+ AI professionals and students worldwide. Best regards S. Berretti, Ioannis Pitas PS *?AIDA?Students ?are PhD students, or Postdoc researchers of?AIDA?Members. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: AIDA-COURSE-APPLICATION-FORM v4.0.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 21982 bytes Desc: not available URL: From daniel.mcnamee at research.fchampalimaud.org Mon Jan 19 14:22:09 2026 From: daniel.mcnamee at research.fchampalimaud.org (Daniel McNamee) Date: Mon, 19 Jan 2026 19:22:09 +0000 Subject: Connectionists: CAJAL Course on Quantitative Approaches to Behavior and Virtual Reality 2026 Message-ID: *CAJAL Advanced Neuroscience Training Course: Quantitative Approaches to Behavior and Virtual Reality 2026*. This intensive course is a unique opportunity for early-career researchers interested in this field. Hosted at the *Champalimaud Centre for the Unknown*, this three-week course focuses on acquiring, analyzing, and modeling *behavioral data* and integrating it with neurobiological information, using *translational methodologies* that can be applied across species?from simple model organisms to humans?to broaden experimental and research capabilities. *Location:* Champalimaud Centre for the Unknown, Lisbon, Portugal *Dates:* 7 - 26 June 2026 *Application Deadline:* 13 February 2026 *Apply now:* https://cajal -training.org/on-site/quantitative-approaches-to-behavior-and-virtual-reality-2026/ *Course Directors* - *Ann Kennedy* ? Scripps Research, USA - *Daniel McNamee* ? Champalimaud Centre for the Unknown, Portugal - *Giorgio Gilestro* ? Imperial College London, UK *Course Themes & Topics* This course will focus on the following key frontier areas: - Behavioral data acquisition and analysis; - Modeling behavioral dynamics; - Integration with neurobiological data; - Experimental design and independent projects; - Translational and cross-species approaches. *Keynote Speakers Include:* - Andre Brown (Imperial College London, UK) - Ahmed El Hady (Max Planck Institute, Germany) - Andrew Straw (University of Freiburg, Germany) - Barbara Webb (University of Edinburgh, UK) - Ben De Bivort (Harvard University, USA) - Carlos Ribeiro (Champalimaud Centre for the Unknown, Portugal) - Gordon Berman (Emory College, USA) - Greg J. Stephens (OIST Graduate University, Japan) - Ian Couzin (Max Planck Institute of Animal Behavior, Germany) - Joshua Shaevitz (Princeton University, USA) - Kim Hoke (Colorado State University, USA) - Kristin Branson (HHMI Janelia Research Campus, USA) - Nachum Ulanovsky (Weizmann Institute of Science, Israel) - R. James Cotton (Northwestern University, USA) - Sama Ahmed, University of Washington, USA - Talmo Pereira (The Salk Institute for Biological Studies, USA) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gexarcha3 at gmail.com Mon Jan 19 14:38:15 2026 From: gexarcha3 at gmail.com (Georgios Exarchakis) Date: Mon, 19 Jan 2026 19:38:15 +0000 Subject: Connectionists: Permanent faculty positions at the University of Bath, UK Message-ID: <4b226f0e-f26b-43c8-8b4b-a46fad26b81d@gmail.com> Dear Colleagues, The Department of Computer Science at the University of Bath invites applications for faculty positions at various ranks from candidates who are passionate about research and teaching in AI and machine learning. These are permanent positions with no tenure process. Start date is flexible. We welcome strong applications from all areas of AI and machine learning. We are particularly keen to recruit in NLP, Reinforcement Learning, or AI Security. The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the United Kingdom. Closing date is Monday, 16 February 2026. The adverts can been seen at the links below: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=AS13303 https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=AS13304 Best wishes, Georgios From info at icas.cc Mon Jan 19 09:53:48 2026 From: info at icas.cc (ICAS Organizing Committee) Date: Mon, 19 Jan 2026 15:53:48 +0100 Subject: Connectionists: =?utf-8?q?9th_Advanced_Course_on_Data_Science_=26?= =?utf-8?q?_Machine_Learning_-_ACDL_2026_-_From_AI_Agents_to_Agenti?= =?utf-8?q?c_AI_=7C_June_8-12_=7C_Riva_del_Sole_Resort_=26_SPA_-_It?= =?utf-8?q?aly_-=3E_=E2=8F=B0_Early_Registration=3A_by_23_February?= Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * ? ACDL 2026, A Residential Course: From AI Agents to Agentic AI, ? June 8-12, Tuscany ? Early Registration: by 23 February ? ACDL 2026 is a full-immersion 5-day course in Riva del Sole Resort & SPA - Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc., Generative AI, AI Agents & Agentic AI with lectures delivered by world-renowned experts. If you want to learn AI, Generative AI & AI Agents LLMs, Agentic AI, Multimodal Foundation Models, and much more then take part in ACDL 2026! ;-) ?Riva del Sole Resort & SPA - Tuscany, Italy, June 8-12, 2026 ? https://acdl2026.icas.events ? acdl at icas.cc ? EARLY REGISTRATION: by February 23 (AoE) ? ?? Register here: https://acdl2026.icas.events/registration/ ? LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. ? https://acdl2026.icas.events/lecturers/ It follows the (partial) list of the confirmed ??? ACDL 2026 Lecturers: Anirudh Goyal, Google DeepMind & Mila, Universit? de Montr?al, Canada Arthur Gretton, UCL & Google DeepMind, UK Katja Hofmann, Microsoft, UK Arnulf Jentzen, University of M?nster, Germany Pushmeet Kohli, Google DeepMind, UK Panos Pardalos, University of Florida, USA Michal Valko, Stealth Startup, INRIA, MVA at ENS Paris-Saclay, France David van Dijk, Yale University, USA Jason Weston, META, USA More Lecturers TBA ? LECTURES: TBA ? https://acdl2026.icas.events/lectures/ ? PAST LECTURERS: ? https://acdl2026.icas.events/past-lecturers/ ? VENUE: ? https://acdl2026.icas.events/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 ? booking.events at rivadelsole.it ? https://www.rivadelsole.it/en/ PAST EDITIONS: ? https://acdl2026.icas.events/past-editions/ ? CERTIFICATE & 8 ECTS: The 9th Advanced Course on Data Science & Machine Learning ? ACDL 2026 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student ? BSc Student) attending the Course. Language: English. To participate in the ACDL 2026, all attendants must (1/2) register for the course (by February 23, 2026) and (2/2) book accommodation at the course venue, ?Riva del Sole Resort & SPA? (by April 23, 2026); all attendants must stay at the ?Riva del Sole Resort & SPA?. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events at rivadelsole.it Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel can not match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( ? booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use. Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in ACDL 2026 should register as soon as possible. See you in Riva del Sole in June! ACDL 2026 Directors. ACDL 2026 Scientific & Organizing Committees. ? https://acdl2026.icas.events ? acdl at icas.cc Obviously this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: ? https://acdl2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * #MachineLearning #AI #SummerSchool #Research #DeepLearning #DataScience -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jan 20 02:28:41 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 20 Jan 2026 09:28:41 +0200 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Wednesday, January 21, 2026, at 11:00 am ET - Adrien Peyrache, Mc Gill In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Adrien Peyrache Mc Gill on the topic of *Building and Using a Cognitive Map* The lecture will be held on zoom on January 21, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *The hippocampus is thought to build a cognitive map that supports navigation, memory, and planning, but what defines such a map and how it is used remain debated. In this talk, I will present computational models in which hippocampal-like representations emerge in recurrent neural networks trained to predict sequences of sensory observations. While spatially tuned units reliably arise, they are not sufficient to form a cognitive map. Instead, map-like representations emerge when recurrent dynamics support multi-step prediction, yielding a population-level encoding of environmental geometry. Once learned, these representations can autonomously generate offline trajectories biased by recent experience, capturing key features of hippocampal replay. I will then show how these representations guide behavior in navigation tasks. In a hippocampal?striatal model facing visual ambiguity, access to hippocampal activity enables rapid learning and flexible adaptation. Place-like coding supports self-localization, while population-level hippocampal states can be used to derive intrinsic learning signals that estimate progress toward a remembered goal, improving performance beyond full sensory observability. Together, these results suggest that cognitive maps arise from predictive recurrent dynamics and support behavior through both localization and internally generated learning signals. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From taro.toyoizumi at riken.jp Tue Jan 20 03:47:55 2026 From: taro.toyoizumi at riken.jp (Taro Toyoizumi) Date: Tue, 20 Jan 2026 08:47:55 +0000 Subject: Connectionists: Neural Networks : Volume 195 In-Reply-To: <0100019bda49e30b-d4047cdd-a1ad-4f44-9685-3d7af5d8f611-000000@email.amazonses.com> References: <0100019bda49e30b-d4047cdd-a1ad-4f44-9685-3d7af5d8f611-000000@email.amazonses.com> Message-ID: [wordmark] New Issue: Neural Networks New issue available on ScienceDirect [Cover Image Neural Networks] Neural Networks Volume 195, March 2026 Editorial Board Article Number 108552 Neural Networks Letters ________________________________ Fourier feature-enhanced multi-layer residual stacking network: A novel multiscale modeling approach for physics-informed neural networks Article Number 108247 Bo-Ya Hou, Yu-Long Bai, Xia-Ting Jing, Chun-lin Huang CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction Article Number 108261 Ziyuan Yan, Aoyun Geng, Yazi Li, Jiajing Wang, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Zilong Zhang, Feifei Cui Reviews ________________________________ Neuro-oscillatory models of cortical speech processing Article Number 108194 Olesia Dogonasheva, Anne-Lise Giraud, Denis Zakharov, Boris Gutkin A survey on neuro-mimetic deep learning via predictive coding Article Number 108161 Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P.N. Rao, Karl Friston, Alexander Ororbia Continual learning: A systematic literature review Article Number 108226 Qinwen Yang, Liyuan Wang, Joerg Wicker, Gillian Dobbie A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification Article Number 108269 Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni, Marco Piangerelli, Martina Zannotti Cognitive Science ________________________________ Investigating fine- and coarse-grained structural correspondences between deep neural networks and human object image similarity judgments using unsupervised alignment Article Number 108222 Soh Takahashi, Masaru Sasaki, Ken Takeda, Masafumi Oizumi Neuroscience ________________________________ Spatiotemporal patterns in FitzHugh?Nagumo network and its application in image encryption Article Number 108204 Zhao Yao, Kehui Sun, Huihai Wang An adaptive decoupling learning system informed by the brain functional structure for EEG decoding Article Number 108228 Pengrui Li, Maoqin Peng, Haokai Zhang, Shihong Liu, Dongrui Gao, Yun Qin, Dingming Wu, Tiejun Liu LAMSNN: Learnable adaptive modulation for artifact suppression in spiking underwater image enhancement networks Article Number 108210 Jinxin Shao, Haosu Zhang, Jianming Miao Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025010913-ga1.jpg] DNUNet: A lightweight adaptive medical image segmentation network based on dual-path multilevel interactive convolution and norm sparse fusion module Article Number 108230 Shijie Li, Rong Tang, Xiaoqian Zhang, Shukai Yang, Yufeng Chen, Zejun Huang, Ying Zhou A novel memristor-based bionic neural network circuit with crossmodal integration and forgetting effects Article Number 108291 Fan Shi, Kaihua Wang, Yinghong Cao, Jun Mou Neurovista: A bidirectional masked cross-Modal fusion network for robust EEG-to-Image decoding Article Number 108297 Haopei Xu, Ni Lin A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD Article Number 108295 Yong Jiao, Xinxu Wei, Lifang He, Yu Zhang Fuzzy symbolic convergent cross mapping: A causal coupling measure for EEG signals in disorders of consciousness patients Article Number 108318 Tingting Li, Xingwei An, Yang Di, Honglin Wang, Yujia Yan, Shuang Liu, Yueqing Dong, Dong Ming Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011992-ga1.jpg] Synaptic pruning facilitates online Bayesian model selection Article Number 108311 Ukyo T. Tazawa, Takuya Isomura Learning Systems ________________________________ FAST: Foreground-aware active self-training for domain adaptive object detection Article Number 108201 Dan Zhang, Hongmin Deng, Hailin Wang, Zhekai Du, Guisong Liu, Jingjing Li, Mao Ye Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025010822-ga1.jpg] VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion Article Number 108203 Yinan Wu, Qianyi Dong, Jingping Liu, Tong Ruan Stochastic style perturbation modelling for visible-Infrared person re-Identification with severely modality imbalance Article Number 108206 Haojie Liu, Zhiyong Li, Jianyang Gu, Mingyu Wang, Q. M Jonathan Wu, Wei Jiang GA-ConvE: An APT attack prediction method based on combination of graph attention network and 2D convolution Article Number 108216 Yazhou Du, Weiwu Ren, Wenjuan Li, Minyue Wang, Wanxiang Wang, Hewen Zhang, Mingqi Xia Privacy-preserving personalized federated prompt learning for vision-language models Article Number 108220 Yinan Wu, Yanli Ren, Zheng Guo, Mu Huang Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011013-ga1.jpg] Explicit semantic guided bi-incomplete multi-modal hashing with label co-occurrence and label graph constraints Article Number 108198 Haoran Zhu, Xu Lu, Liang Zhang, Li Liu, Huaxiang Zhang Adaptive frequency collaboration for remote sensing change detection Article Number 108234 Feng Zhou, Xinyu Zhang, Hui Shuai, Qingshan Liu, Renlong Hang Dual-focus memory contrastive learning for active domain adaptation Article Number 108224 Qing Tian, Junjie Pan, Yun Yang, Weihua Ou Chaos-based reinforcement learning with TD3 Article Number 108202 Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara Gradient flow-based iterative pruning for efficient and high-quality lightweight diffusion models Article Number 108227 Ben Wan, Tianyi Zheng, Yuxiao Wang, Jia Wang Gradient-aware knowledge distillation: Tackling gradient insensitivity through teacher guided gradient scaling Article Number 108229 Nianwen Si, Hao Zhang, Wenlin Zhang, Wei-Qiang Zhang, Heyu Chang, Dan Qu Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011104-ga1.jpg] Prescribed-rate target tracking for time-delayed systems using output measurements Article Number 108223 Chengye Zhang, Ci Chen, Frank L. Lewis, Kan Xie, Shengli Xie Reinforcement learning-based funnel control and privacy preservation for multi-agent systems with input dead-zone Article Number 108238 Jiaxin Huang, Xiaoyang Liu, Sikai Shen, Wenwu Yu Enhanced anchor contrastive multi-view representations learning network for clustering Article Number 108233 Beihua Yang, Peng Song A full-function memristive associative memory neural network circuit based on multi-frequency SRDP rule Article Number 108209 Le Yang, Yi Zhang, Yanyang Xu, Yang Zhang, Zhigang Zeng Dynamic routing towards few-shot point cloud semantic segmentation Article Number 108231 Guangqi Jiang, Zhengyao Li, Gengshen Wu, Yi Liu, Shoukun Xu Federated graph-level clustering network with adaptive knowledge compensation Article Number 108212 Renda Han, Xinyuan Li, Guangzhen Yao, Mengfei Li, Wenxin Zhang, Ronghao Fu, Zeyu Zhang, Junlong Wu An identifiable cost-aware causal decision-making framework using counterfactual reasoning Article Number 108237 Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng WiMTI: A multitask learning model for WiFi-based identity and posture recognition Article Number 108242 Zhiyi Zhou, Xinxin Lu, Bingxian Lu, Yuan Chen, Haoran Wen, Lei Wang SemiDDM-weather: A semi-supervised learning framework for all-in-one adverse weather removal Article Number 108241 Fang Long, Wenkang Su, Zixuan Li, Lei Cai, Mingjie Li, Yuan-Gen Wang, Xiaochun Cao Consistent and comprehensive scale aggregation network for drone-view small object detection Article Number 108250 Fan Zhang, Hongbing Ji, Yongquan Zhang, Zhenzhen Su Hierarchical reinforcement learning with kill chain-informed multi-objective optimization to enhance resilience in autonomous unmanned swarm Article Number 108255 Yingdong Gou, Siwen Wei, Kai Xu, Jiancheng Liu, Ke Li, Bo Li, Zaikun Han, Xin Lai, Yuqing Lin, Dingrui Xue, Kexin Wang Few-shot image classification based on class-irrelevant feature decoupling graph neural network Article Number 108270 Jiaqi Li, Shuhuan Wen, Luigi Manfredi, Hamid Reza Karimi Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011517-ga1.jpg] Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization Article Number 108265 Xiaobo Hu, Youfang Lin, Jinwen Wang, Yue Liu, Shuo Wang, Hehe Fan, Kai Lv Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011463-ga1.jpg] RL-I2IT: Image-to-image translation with deep reinforcement learning Article Number 108264 Jing Hu, Ziwei Luo, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Xin Li, Hongtu Zhu, Siwei Lyu, Xin Wang Proxy-AN loss for deep metric learning Article Number 108254 Wenjie Peng, Quhui Ke, Jinglin Liang, Shuangping Huang, Tianshui Chen BioMotion-SNN: Spiking neural network modeling for visual motion processing Article Number 108239 Ying Liu, Jiajun Mei, Tingting Feng, Tao Zhang, Hong Qu, Yi Zhang MEGE: A mixed emotion graph model for empathetic dialogue generation Article Number 108252 Deji Zhao, Donghong Han, Ye Yuan, Bo Ning, Yongxiang Li, Zhongjiang He, Chao Wang, Shuangyong Song Shallow and ensemble deep randomized neural network for anomaly detection Article Number 108240 Anuradha Kumari, A.K. Malik, M. Tanveer, P.N. Suganthan A selection perturbative hyper-heuristic for neural architecture search Article Number 108259 Johannes De Clercq, Nelishia Pillay Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation Article Number 108253 Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Honghai Liu, Min Zhang, Zhengyu Ma, Zhiguo Zhang Nystr?m-aware approximations for matrix-based R?nyi?s entropy Article Number 108268 Tieliang Gong, Wen Wen, Yuxin Dong, Zeyu Gao, Weizhan Zhang Multi-teacher knowledge distillation framework for lightweight anomaly detection Article Number 108267 Behnam Yousefimehr, Mehdi Ghatee, Roozbeh Razavi-Far Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011487-ga1.jpg] A lightweight model for perceptual image compression via implicit priors Article Number 108279 Hao Wei, Yanhui Zhou, Yiwen Jia, Chenyang Ge, Saeed Anwar, Ajmal Mian D3HRL: A distributed hierarchical reinforcement learning approach based on causal discovery and spurious correlation detection Article Number 108275 Chenran Zhao, Dianxi Shi, Mengzhu Wang, Jianqiang Xia, Huanhuan Yang, Songchang Jin, Shaowu Yang, Chunping Qiu Multi-spectral attention and graph smoothness enhancement for generalized node classification Article Number 108287 Xinghai Wang, Jinglei Liu Multi-scale target-aware representation learning for fundus image enhancement Article Number 108273 Haofan Wu, Yin Huang, Yuqing Wu, Qiuyu Yang, Bingfang Wang, Li Zhang, Muhammad Fahadullah Khan, Ali Zia, M. Saleh Memon, Syed Sohail Bukhari, Abdul Fattah Memon, Daizong Ji, Ya Zhang, Ghulam Mustafa, Yin Fang Enhancing node influence prediction in large networks via multi-Level knowledge distillation Article Number 108286 Seyed Amir Sheikh Ahmadi, Parham Moradi, Laleh Tafakori, Mahdi Jalili An accurate pixel-Level explainable approach for CNNs and its application Article Number 108289 Haitao Zhang, Jing Wang, Ziyue Wang, Guoqiang Li, Zhuo Cheng Unsupervised person re-identification via camera-aware multi-level label refinement Article Number 108292 Ning Tang, Zheyi Fan, Yixuan Zhu, Tingting Zhang AMPL: An adaptive meta-prompt learner for few-shot image classification Article Number 108288 Zhiping Wu, Lian Huai, Tong Liu, Zeyu Shangguan, Lei Wang, Jing Huo, Wenbin Li, Yang Gao, Xingqun Jiang Large interest network for click-through rate prediction Article Number 108293 Nan Li, Hui-Yu Zhou, Chang-Dong Wang, Pei-Yuan Lai Improving large models with small models: Lower costs and better performance Article Number 108276 Dong Chen, Fei Gao, Shuo Zhang, Yueting Zhuang, Siliang Tang, Qidong Liu, Hua Wang, Xin Yang, Mingliang Xu A unified and efficient training framework for open-ended non-transitive games Article Number 108248 Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao DiffMLP: A diffusion-based multi-hop link prediction framework in knowledge graphs Article Number 108296 Hao Liu, Dong Li, Bing Zeng, Yang Xu Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011773-ga1.jpg] Graph causal representation learning for out-of-distribution generalization Article Number 108208 Xianglin Zuo, Baohang Wei, Hao Yuan, Ying Wang Multi-graph learning with adaptive graph-bag mapping Article Number 108316 Donglai Fu, Tiantian Lu, Junyang Wang Dual-balancing for multi-task learning Article Number 108317 Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, Ivor W. Tsang, James T. Kwok Depth-consistent 3D Gaussian Splatting via physical defocus modeling and multi-view geometric supervision Article Number 108320 Yu Deng, Baozhu Zhao, Junyan Su, Xiaohan Zhang, Qi Liu Mathematical and Computational Analysis ________________________________ Newton?Puiseux analysis for interpretability and calibration of complex-valued neural networks Article Number 108172 Piotr Migus A fixed- time neurodynamic approach for fused lasso problems Article Number 108215 Kangyuan Zhou, Bing Zheng Multi-stage dual-domain progressive network with synergistic training for sparse-view CT reconstruction Article Number 108221 Jingyuan Shao, Huabao Chen, Qiankun Li, Xiang Huang, Jiong Shu, Lingling Liu, Shaobin Dou, Hongzhi Wang Disturbed Euler?Lagrange-based neurodynamic approach for nonsmooth noncooperative game with communication delay Article Number 108225 Jianing Chen, Shuangyu Liu, Yuhan Xue, Sitian Qin Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025011062-ga1.jpg] Hessian-Riemannian second-order neurodynamic approach for constrained optimization: Theory and applications Article Number 108251 Jiali Wei, Xiaofeng Liao, Jianxi Yang Unified analysis of stability and dissipativity for inertial memristive multidimensional-valued neural networks with time-varying delays via non-reduced order method Article Number 108266 Weizhe Xu, Song Zhu SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization Article Number 108283 Jinlan Liu, Hanger Liu, Xin Deng, Dongpo Xu An approach to inferring gene regulatory networks via boolean modeling and feature selection Article Number 108246 Xuyi Xu, Yuanyuan Li, Dingyuan Zhong, Jianquan Lu Hypergraph neural diffusion networks Article Number 108271 Fengcheng Lu, Michael Ng, Andy Yip Achieving faithful explainability in feedforward neural networks through accurately computed feature attribution Article Number 108277 Jose L. Carles-Bou, Enrique J. Carmona A general approach to multistability analysis for fuzzy multidimensional-valued NNs with memristor Article Number 108285 Yiming Zhao, Song Zhu, Junwei Sun, Shiping Wen Progressive fusion networks with adaptive graph structure learning for cancer subtype classification Article Number 108284 Weicheng Sun, Ping Zhang, Li Li Observer-based consensus tracking of stochastic multi-agent systems via control Lyapunov function Article Number 108294 Zheng Yan, Boqian Li, Ping Qi, Shiping Wen, Tingwen Huang Engineering and Applications ________________________________ UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement Article Number 108170 Huijie Guo, Dazhao Du, Hongwei Dong, Shouyou Huang, Changwen Zheng, Lingyu Si Remote sensing object detection through hierarchical feature mining and multivariate head collaboration with knowledge distillation Article Number 108205 Yantong Chen, Zhi Gao, Jingyu Yan, Yifan Liu Cross-view discrepancy-driven dynamic weighting for missing view completion in incomplete multi-view clustering Article Number 108211 Hang Gao, Zuosong Cai, Tao Liang, Cheng Liu, Ying Li, You Zhou, Wei Du LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting Article Number 108168 Feifan Gao, Chuyao Luo, Guangbo Deng, Xutao Li, Baoquan Zhang, Demin Yu, Yunming Ye Randomized deep Hopfield network with multiple output layers for volatility time series forecasting Article Number 108207 Aryan Bhambu, Selvaraju Natarajan, Ponnuthurai Nagaratnam Suganthan GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction Article Number 108214 Abdeljalil Zoubir, Badr Missaoui Fourier-based adaptive counterfactual intervention for object re-identification Article Number 108213 Haijun Xiong, Bin Feng, Bang Wang, Xinggang Wang, Wenyu Liu Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608025010949-ga1.jpg] Uncertainty-constrained fusion of single-view and multi-view depth estimation for AR virtual-real occlusion Article Number 108219 Jia Liu, Shuai Ding, Yongze Li, Bin Wang, Lina Wei, Dapeng Chen Visual tracking with unified relation modeling and masked appearance learning Article Number 108197 Xiaomei Gong, Yi Zhang, Yanli Liu Spatially-enhanced Spiking neural network for efficient point cloud analysis Article Number 108190 Yijie Lu, Zhiyi Pan, Renrui Zhang, Yanhao Jia, Kaiwei Che, Zhaokun Zhou GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization Article Number 108235 Zhichao Wang, Xinhai Chen, Chunye Gong, Bo Yang, Liang Deng, Yufei Sun, Yufei Pang, Xiang Zhang, Jie Liu Alzheimer?s disease classification based on multimodal consistent distribution and trusted fusion Article Number 108245 Xiaoyan Kui, Yulan Dai, Beiji Zou, Chengzhang Zhu, Yang Li, Zexin Ji, Liming Chen, Miguel Bordallo L?pez Incremental transfer learning based on temporal-frequency convolution interaction for multi-task prediction of wind speed and wind power Article Number 108244 Ke Fu, Bowen Yuan, Baihui An, Zhengru Ren LCMF-Net: A lightweight collaborative multimodal fusion network for brain tumor segmentation Article Number 108257 Guogang Cao, Zhaojun Yang, Wanying Liang, Sai Zhang, Tao Zhong, Hongdong Mao, Dong Wang, Ming Zong Internal-external boundary attention fusion for glass surface segmentation Article Number 108232 Dongshen Han, Heechan Yoon, Hyukmin Kwon, Hyun-Cheol Kim, Hyon-Gon Choo, Seungkyu Lee, Chaoning Zhang ST-FlowNet: A lightweight framework for long-term spatio-temporal flow field prediction Article Number 108243 Qisong Xiao, Xinhai Chen, Haijian Yang, Chunye Gong, Jie Liu Expertfuse: A huffman tree-based gradual expert integration framework for MoE models Article Number 108274 Yizeng Fang, Juinndar Huang Scalable mobile swarm network for reservoir computing using gaussian kernel density estimation Article Number 108263 Yanjun Zhou, Fan Ye, Kai-Fung Chu, Fumiya Iida asKAN: Active subspace embedded Kolmogorov-Arnold network Article Number 108280 Zhiteng Zhou, Zhaoyue Xu, Yi Liu, Shizhao Wang Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking Article Number 108258 Haolun Ding, Zhengwen Fu, Rong Zhang, Li Huang, Xuan Luo, Qiang Gao AdaptiveWordBug: Generating adversarial texts with an adaptive scoring strategy against deep learning classifiers Article Number 108262 Yunting Zhang, Lin Ye, Baisong Li, Hongli Zhang Read the full issue on ScienceDirect -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Tue Jan 20 06:18:13 2026 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Tue, 20 Jan 2026 11:18:13 +0000 Subject: Connectionists: =?windows-1252?q?Essex_BCI-NE_webinar=3A_Advancin?= =?windows-1252?q?g_BCI_Spellers_for_real-world_use=3A_Recent_progress_in_?= =?windows-1252?q?c-VEP_paradigms_by_Eduardo_Santamar=EDa-V=E1zquez?= In-Reply-To: References: Message-ID: Dear all, This is a gentle reminder for tomorrow's BCI-NE webinar featuring Dr . Eduardo Santamar?a-V?zquez. Best regards, Dr Serafeim Perdikis, Associate Professor (Senior Lecturer) Brain-Computer Interfaces and Neural Engineering Laboratory School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester CO4 3SQ United Kingdom ________________________________ From: Perdikis, Serafeim Sent: Wednesday, December 31, 2025 00:45 To: connectionists at mailman.srv.cs.cmu.edu Subject: Essex BCI-NE webinar: Advancing BCI Spellers for real-world use: Recent progress in c-VEP paradigms by Eduardo Santamar?a-V?zquez [cid:8d72b3d7-a009-48cf-a5c2-01ca2dbbca97] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Advancing BCI Spellers for real-world use: Recent progress in c-VEP paradigms Delivered by Dr Eduardo Santamar?a-V?zquez (Biomedical Engineering Group, University of Valladolid) The webinar will take place over Zoom on Wednesday, 21st January 2026, at 2pm UK time RSVP: https://www.linkedin.com/events/7411896219532300289/ Abstract: In this talk, Dr. Eduardo Santamar?a-V?zquez will review the latest advances in BCI spellers for communication and control using novel paradigms based on code-modulated visual evoked potentials (c-VEPs). The presented work introduces methodological advances that target key barriers to real-world adoption of this technology, including calibration time, visual fatigue, and robustness across users and sessions. It will also highlight how these contributions are enabling progress towards practical applications beyond the laboratory in both clinical and non-clinical contexts. In a brief second part, Dr. Santamar?a-V?zquez will present recent studies in complementary research lines, including neurofeedback-based interventions for stroke neurorehabilitation and cognitive training. Speaker Biography: Dr. Eduardo Santamar?a-V?zquez is a Research Scientist in the field of brain-computer interfaces (BCIs) at the Dpt. of Signal Theory and Communications of the University of Valladolid (UVa), member of the Biomedical Engineering Group at UVa (GIB-UVa, 2017), and member of the Center of Biomedical Research in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN). His work focuses on advancing EEG-based BCI methods and applications, with contributions aimed at improving the accuracy, robustness, usability, and real-world application of BCI systems for communication and control. He also develops BCI systems for cognitive training and stroke neurorehabilitation, and contributes to EEG biomarker research in areas such as cognitive impairment, migraine, neuropsychiatric conditions, sleep, and anesthesia depth monitoring. In addition, Dr. Santamar?a-V?zquez leads the development of MEDUSA? (www.medusabci.com), an innovative platform to accelerate experimentation in BCI and cognitive neuroscience currently used by research groups and companies worldwide. The Essex BCI-NE Lab webinars series takes place monthly (usually, on the second or third Wednesday of the month) over Zoom and is open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A. Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis If you don?t want to miss our next webinars, please email serafeim.perdikis at essex.ac.uk to ask to be added to our webinars mailing list. Best wishes, Simis Dr Serafeim Perdikis, Associate Professor (Senior Lecturer) Brain-Computer Interfaces and Neural Engineering Laboratory School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester CO4 3SQ United Kingdom -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 237153 bytes Desc: image.png URL: From k.tsetsos62 at googlemail.com Tue Jan 20 15:34:30 2026 From: k.tsetsos62 at googlemail.com (Konstantinos Tsetsos) Date: Tue, 20 Jan 2026 20:34:30 +0000 Subject: Connectionists: PhD in cross-species Computational Cognitive Neuroscience at Trinity College Dublin Message-ID: TCD is inviting applications for a fully funded PhD position in cross-species Computational Cognitive Neuroscience, combining OPM-MEG experiments and anatomy-infused neural network modelling of cognition. Overview The purpose of this role is to undertake a PhD investigating ?Cross-species mechanisms of evidence accumulation along prefrontal cortical gradients? in the Research Groups of Dr. Se?n Froudist-Walsh (50%) and Prof. Konstantinos Tsetsos (50%). Mice and humans differ strikingly in evidence-accumulation behaviour: mice often integrate information optimally and with minimal leak, whereas humans show systematic recency biases. This project develops a mechanistic, cross-species account of these differences by examining how aspects of the stimulus presentation interact with prefrontal cortical architecture. The student will combine new human OPM-MEG experiments, anatomy-informed neuro-AI model development and comparative analyses across species. Training & Environment Based at the TCD Institute of Neuroscience, the PhD student will receive training in: ? Experimental design, acquisition, and analysis of human OPM-MEG experiments ? Neuroanatomy and physiology - Analysing prefrontal gradients across species ? Computational modelling of behaviour and neural circuits ? Neuro-AI model development integrating species-specific neuroanatomy The PhD student will also get the opportunity for research visits to the University of Oxford, where 50% of the Cognition, Anatomy & Neural Networks lab is based. Further Information & Application Full Job description and details of how to apply: https://www.tcd.ie/media/tcd/scss/pdfs/Job-Description---PhD-Studentship-in-Computational-Cognitive-Neuroscience.pdf If you're from a low socioeconomic background, and/or another underrepresented community, we'd love to hear from you. DEADLINE: 5/February/2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From eringrant at nyu.edu Tue Jan 20 23:32:11 2026 From: eringrant at nyu.edu (Erin Grant) Date: Tue, 20 Jan 2026 20:32:11 -0800 Subject: Connectionists: Call for Submissions: Workshop on Representational Alignment (Re-Align) at ICLR 2026 In-Reply-To: References: Message-ID: Representational Alignment (Re-Align) Workshop at ICLR 2026 in Rio de Janeiro April 26th or 27th, 2026 https://representational-alignment.github.io/2026/ **** CALL FOR PAPERS **** Submissions are now open for Re-Align 2026! The workshop brings together researchers studying representational alignment across artificial and biological systems, with contributions spanning machine learning, neuroscience, cognitive science, and related disciplines. See prior editions for the scope of presented work: https://openreview.net/group?id=ICLR.cc/2024/Workshop/Re-Align https://openreview.net/group?id=ICLR.cc/2025/Workshop/Re-Align SUBMISSION TRACKS Short papers (up to 5 pages + references & appendix) Long papers (up to 10 pages + references & appendix) Challenge reports (Markdown blog post format) For submission details, see https://representational-alignment.github.io/2026/#cfp Papers are due by 5 February 2026 (AoE); Challenge reports are due by 26 February 2026 (AoE). Notifications will be sent by 1 March 2026. RE-ALIGN CHALLENGE Building on last year's hackathon, we're launching a persistent challenge to standardize representational alignment research. Sign up to receive details upon launch! https://forms.gle/EUVCyE9gykQAvBkg7 For information about the workshop, please refer to the main web page or send email to us at representational-alignment at googlegroups.com. If you know anyone else who might be interested, please forward! We hope to see you and your work at Re-Align 2026 in Rio! Erin Grant on behalf of the Re-Align Organizers https://representational-alignment.github.io/2026/#organizers From maria.m.hedblom at gmail.com Tue Jan 20 11:02:58 2026 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Tue, 20 Jan 2026 17:02:58 +0100 Subject: Connectionists: =?utf-8?q?JOB_Posting=3A_2_year_postdoc_position_?= =?utf-8?q?in_=22AI=3A_LLM=2C_Ontologies_and_KGs=22_at_J=C3=B6nk?= =?utf-8?q?=C3=B6ping_University=2C_Sweden?= Message-ID: Postdoc Researcher in AI: Language Models, Ontologies and Knowledge GraphsThe School of Engineering, Department of Computing / J?nk?ping AI Lab *We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). *The position is part of a newly funded 4-year research project starting in 2026, focused on domain-specific, trustworthy, and explainable AI systems. Work tasks Recent advances in foundation models have demonstrated impressive capabilities, but they still face critical limitations in reasoning, explainability, robustness, and domain adaptation. This project explores integrations of modern LMs with ontologies and knowledge graphs to address these challenges. The research will investigate: - Ontology- and KG-enhanced language models - Domain-specific language models and retrieval-augmented generation - Knowledge grounding, constraint-aware generation, and explainability - Evaluation methodologies for knowledge-intensive AI systems The project will be driven by real-world domain applications in materials, casting, and manufacturing, developed in close collaboration with domain experts, ensuring both scientific depth and applied impact. What We Offer - Freedom to shape research directions and co-develop the project agenda - Opportunities for high-impact publications and open-source contributions - Collaboration with PhD student, domain experts and international partners - Support for conference travel and research networking - A stimulating interdisciplinary research environment More information about J?nk?ping University as a workplace, conditions and benefits on https://ju.se/en/about-us/work-at-jonkoping-university.html Required Qualifications Applicants must have been awarded a PhD in Computer Science, Artificial Intelligence, Engineering disciplines with demonstrated research in AI, or a closely related field, completed by the start date and no more than three years before the application deadline. Strong research background in at least one of the following areas: - Ontologies, Knowledge Graphs, and Knowledge-based Systems, or - Natural Language Processing, Large/Small Language Models, and/or Transformer-based Architectures Demonstrated ability and interest in working across methodological boundaries - Solid programming skills (e.g. Python) and experience with research-oriented software development - Evidence of research excellence (publications, open-source contributions, or comparable output) Desired Qualifications Experience or strong interest in the integration of language models with structured knowledge. Familiarity with one or more of the following: - Knowledge graph construction, querying, or reasoning - Ontology engineering and semantic modeling - Retrieval-Augmented Generation or knowledge grounding - Fine-tuning or adaptation of language models - Interest in domain-specific and explainable AI applications You will find generell information about a postdoc position and the recruitment process at JU, in the Appointment procedure. Employment details The position is a fixed-term employment, for two years, full-time (100%), with a *start from 1 September 2026*, or according to agreement. Individual salary setting and collective agreement applicable. Application We look forward to receiving your application by *March 10, 2026*, including the following documents: - Cover letter - CV - Certified copies of certificates and diplomas - Verified list of qualifications - References - List of publications - Other (optional) *Full details and application instructions are available here:https://ju.varbi.com/se/what:job/jobID:891496/where:4/ * J?nk?ping University is a modern institution, characterised by internationalisation and an entrepreneurial spirit. We attract highly qualified, inventive and enterprising people from all around the world. We develop new knowledge and share our expertise through solid collaborations with industry and business, the public sector and other higher education institutions. We offer an equal and inclusive workplace and we welcome applicants with diverse backgrounds. For more information, visit www.ju.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From ymourchid at cesi.fr Wed Jan 21 04:54:12 2026 From: ymourchid at cesi.fr (MOURCHID Youssef) Date: Wed, 21 Jan 2026 09:54:12 +0000 Subject: Connectionists: =?utf-8?q?The_6th_International_Symposium_on_Comp?= =?utf-8?q?lex_Systems_2026_=E2=80=93_Call_for_Papers__=7C_June_03_?= =?utf-8?q?=E2=80=93_05=2C_2026_=7C_La_Rochelle=2C_France?= Message-ID: ? Call for Papers ? ISCS 2026 We invite submissions on all aspects of Complex Systems. * Formats: Long Papers (12 pages), Short Papers (8 pages), Extended Abstracts (3?4 pages) * Deadline: March 2, 2026 ? Submit via CMT: https://cmt3.research.microsoft.com/ISCS2026/ (Select ISCS 2026) ? Website: https://iutdijon.u-bourgogne.fr/iscs/ Join us in advancing Complex Systems Science! ISCS Organizing Committee [cid:image001.png at 01DC8AC4.45D6F250] Youssef MOURCHID Enseignant-Chercheur UR 7527 Tel : +33 (0)7 88 33 17 65 22 B Rue du Cap Vert, 21800 Quetigny [cid:image002.png at 01DC8AC4.45D6F250] [cid:image003.png at 01DC8AC4.45D6F250] [cid:image004.png at 01DC8AC4.45D6F250] [cid:image005.png at 01DC8AC4.45D6F250] [cid:image006.png at 01DC8AC4.45D6F250] lineact.cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 5253 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 577 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.png Type: image/png Size: 714 bytes Desc: image006.png URL: From daniela.fogli at unibs.it Wed Jan 21 03:51:35 2026 From: daniela.fogli at unibs.it (Daniela FOGLI) Date: Wed, 21 Jan 2026 09:51:35 +0100 Subject: Connectionists: CoPDA 2026: Exploring the Relationship between EUD, AI-Assisted Development, and Meta-Design Message-ID: -------------------- Call for Papers -------------------- CoPDA 2026 - 10th International Workshop on Cultures of Participation in the Digital Age: Exploring the Relationship between EUD, AI-Assisted Development, and Meta-Design https://copda.unimi.it June 8 or 9, 2026 (TBA) - Venice, Italy In conjunction with AVI 2026 (https://www.unive.it/web/en/15667/home) ------------ Overview ------------ This 10th edition of the CoPDA workshop series explores how the relationship among Cultures of Participation, End-User Development, and Meta-Design is evolving in the era of AI-assisted and generative systems. Recent advances in Artificial Intelligence are reshaping development practices, lowering barriers to participation, and enabling new forms of creativity. At the same time, they introduce critical challenges related to human agency, transparency, ethics, sustainability, and long-term skill development. Continuing the CoPDA tradition of framing socio-technical systems as evolving environments, the workshop adopts the perspective of Symbiotic AI, which emphasizes mutual adaptation between humans and AI. In this view, AI does not replace human participation but becomes part of participatory cultures that must remain understandable, configurable, and accountable. EUD and meta-design play a key role in enabling users to actively shape intelligent systems, keeping humans in the loop while mitigating risks such as overreliance, opacity, unpredictability, and deskilling. The workshop invites researchers and practitioners from diverse communities to submit contributions on (but not limited to) the following topics: - Wicked Problems (without no right of wrong solutions) and Design Trade-Offs - Ecosystems for the Integration of Learning, Working, and Collaboration - 21st century skills (critical thinking, creativity, collaboration, communication) - Symbiotic AI - AI-Augmented End-User Development and Meta-Design - Generative AI for Cognitive Empowerment and Lifelong Learning - Configurable Transparency and Human-in-the-Loop AI Systems - Adaptive, Adaptable and Context-Aware Interfaces - Diversity, Equity, and Inclusion - Interactive Creativity in Education - Vibe Coding - Responsible Design ----------------- Submissions ----------------- Authors are invited to submit a 6-page position paper (including references) using the 1-column CEUR template available at https://ceur-ws.org/Vol-XXX/CEURART.zip. An Overleaf page for LaTeX users is also available at https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk The papers can be submitted at: https://easychair.org/conferences/?conf=copda2026 All papers will be peer-reviewed by at least two members of the Program Committee. Accepted papers will be collected and submitted for publication in CEUR-WS proceedings. --------------------- Important dates --------------------- - March 29th, 2026: Submission deadline for position papers - Apr 10th, 2026: Notification of acceptance - May 8th, 2026: Camera ready - Jun 8 or 9, 2026 (TBA): CoPDA 2026 workshop ------------------------------ Organizing Committee ------------------------------ Barbara Rita Barricelli (University of Brescia, Italy) Gerhard Fischer (University of Colorado, Boulder, USA) Daniela Fogli (University of Brescia, Italy) Anders M?rch (University of Oslo, Norway) Antonio Piccinno (University of Bari, Italy) Stefano Valtolina (University of Milan, Italy) For any further information, please contact copda2026 at easychair.org -- Informativa sulla Privacy:?https://www.unibs.it/it/node/1452 -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.rigoni.1 at unipd.it Wed Jan 21 06:01:44 2026 From: davide.rigoni.1 at unipd.it (Davide Rigoni) Date: Wed, 21 Jan 2026 12:01:44 +0100 Subject: Connectionists: [ICANN 2026] Special Session on Neural Networks for Graphs and Beyond (NN4G+) Message-ID: *************************************************************** CALL FOR PAPERS (ICANN 2026) Special Session on Neural Networks for Graphs and Beyond (NN4G+) https://e-nns.org/icann2026/neural-networks-for-graphs-and-beyond-nn4g-2026/ *************************************************************** This special session at ICANN 2026 aims to bring together cutting-edge research and new ideas in neural networks and machine learning models for graphs. We encourage the submission of works that address open challenges by advancing both theoretical investigations and practical applications. The special session contributions will be published as part of the ICANN 2026 proceedings in the Springer Lecture Notes in Computer Science (LNCS) series, indexed as a peer-reviewed publication in the Web of Science. ****** Important Dates ****** -> Deadline for full paper and extended abstract submission: 16 March 2026 -> Notification of acceptance: 29 May 2026 -> Camera-ready upload: 29 June 2026 -> Author registration and early registration at early rate: 29 June 2026 -> Conference dates: 14-17 September 2026 ****** Topics ****** Topics of interest to this session include, but are not limited to: -> Graph neural networks based on convolutional, recurrent, and transformer architectures -> Temporal and dynamic graphs -> Relational inference, heterogeneous graphs -> Graph pooling, graph structure learning -> Open problems in representation learning, e.g. over-smoothing, over-squashing, heterophily -> Graph learning for time series, including data imputation -> Theory of graph learning -> Graph signal processing, including spectral methods for analysis and design -> Trustworthy AI for graph learning, including explainability (XAI), robustness, reliability -> Graph-based methodologies for pattern recognition -> Other methods for learning on graphs, including kernel-based approaches -> Datasets and benchmarks for learning on graphs -> Applications of graph learning, including: -> Chemistry and biology, e.g. toxicology, protein interactions -> Graph learning on brain data -> Social sciences, social networks -> Graph learning for ecology -> Knowledge engineering and discovery -> Sensor networks and IoT applications -> ? and many more! ****** Submission instructions ****** Submit your contribution using the instructions provided at https://e-nns.org/icann2026/submission on the conference management system. Select the ?Special Session on Neural Networks for Graphs and Beyond? track on Microsoft CMT. We follow a double-blind review process. At least one author must register and attend the conference in-person. ****** Call for Reviewers ****** Please volunteer as a reviewer to help us ensure the quality of the papers presented at this special session. Apply here: https://docs.google.com/forms/d/e/1FAIpQLScsKBhZRjEr1aK0V7Ab1G8pfKobiqZiKOX8MF3wwg639fLfOQ/viewform ****** Session Organisers ****** -> Assandro Sperduti, University of Padova, Italy -> Benoit Ga?z?re, INSA Rouen Normandie, France -> Caterina Graziani, University of Siena, Italy -> Davide Rigoni, University of Padova, Italy -> Domenico Tortorella, University of Pisa, Italy -> Filippo Maria Bianchi, UiT the Arctic University of Norway -> Matteo Tolloso, University of Pisa, Italy -> Sara Bacconi, University of Siena, Italy -> Vincenzo Carletti, University of Salerno, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From marouso_velissariou at imbb.forth.gr Wed Jan 21 05:59:10 2026 From: marouso_velissariou at imbb.forth.gr (marouso_velissariou at imbb.forth.gr) Date: Wed, 21 Jan 2026 12:59:10 +0200 Subject: Connectionists: Countdown is on: DENDRITES 2026 Abstract Submissions close February 1st! Message-ID: <20260121125910.Horde.i6qQPRKuMPrXuEZeMhRSQg1@webmail.imbb.forth.gr> Dear Colleagues, Don?t miss the chance to present your work at the 6th EMBO Workshop on Dendrites in Heraklion, Crete! The deadline for abstract submissions is February 1st, 2026. Submit your abstract here: https://meetings.embo.org/event/26-dendrites This is the 6th in a very successful series of meetings on the island of Crete dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries in a relaxed atmosphere that emphasizes interaction. No payment is required for abstract submission. Submissions of abstracts are due by February 1st, 2026 Notifications will be provided by February 28th, 2026 Registration payment due by March 15th, 2026 Potential attendees are strongly encouraged to submit an abstract, as presenters will have registration priority. For more information about the conference, please refer to our website or send an email to embo2026 at artion.com.gr We look forward to seeing you in person at DENDRITES 2026! The organizers, Panayiota Poirazi, Lucy Palmer, Mark Harnett -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. From timofte.radu at gmail.com Wed Jan 21 06:20:25 2026 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 21 Jan 2026 12:20:25 +0100 Subject: Connectionists: [CFP] CVPR 2026 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for multiple postings *********************************** CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 20 CHALLENGES NTIRE: 11th New Trends in Image Restoration and Enhancement workshop and challenges. In conjunction with CVPR 2026, June 3-7, Denver, US. Website: https://cvlai.net/ntire/2026/ Contact: radu.timofte at uni-wuerzburg.de TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral image restoration, enhancement, manipulation ? Underwater image restoration, enhancement, manipulation ? Light field image restoration, enhancement, manipulation ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings/mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Saliency and gaze estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. https://cvpr.thecvf.com/Conferences/2026/AuthorGuidelines The review process is double blind. Accepted and presented papers will be published after the conference in the 2026 CVPR Workshops Proceedings. Author Kit: https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2026-v1(latex).zip Submission site: https://cmt3.research.microsoft.com/NTIRE2026 WORKSHOP DATES ? *Early & Regular Papers submission deadline: March 10, 2026* ? Challenge Papers submission deadline: March 24, 2026 ? *Papers reviewed elsewhere submission deadline: March 24, 2026 * CHALLENGES - Ambient Light Normalization - Track White Lighting * started! * - Ambient Light Normalization - Track Color Lighting * started! * - Rip Current Detection and Segmentation * started! * - HR Depth from Images of Specular and Transparent Surfaces - Track Stereo * started! * - HR Depth from Images of Specular and Transparent Surfaces - Track Metric Mono * started! * - Day and Night Raindrop Removal for Dual-Focused Images * started! * - Learned Smartphone ISP with Unpaired Data * started! * - NightTime Image Dehazing * started! * - Reflection Removal in the Wild * started! * - Efficient Under Display Camera Restoration * started! * - Image Shadow Removal * started! * - Bitstream-corrupted Video Restoration * started! * - Efficient Burst HDR and Restoration * started! * - Robust AI-Generated Image Detection in the Wild * started! * - 3D Content Super-Resolution - Track 1 Bicubic Degradation * started! * - 3D Content Super-Resolution - Track 2 Realistic Degradation * started! * - Light Field Image Super-Resolution - Track 1 Classic * started! * - Light Field Image Super-Resolution - Track 2 Efficiency * started! * - Light Field Image Super-Resolution - Track 3 Large Model * started! * - Low Light Image Enhancement * started! * - Joint Denoising and Low Light Image Enhancement * started! * - Image Denoising * started! * - Event-Based Image Deblurring * started! * - Blind Computational Aberration Correction * started! * - Robust Deepfake Detection * started! * - Photography Retouching Transfer * started! * - Controllable Aperture Bokeh Rendering * started! * - Night Photography Rendering - X-AIGC Quality Assessment - Low Light Video Enhancement - Restore Any Image Model (RAIM) in the Wild - Image Super-Resolution - Efficient Image Super-Resolution - Video Saliency Prediction - Short-form UGC Video Restoration in the Wild with Generative Models - Anomaly Detection of Face Enhancement for UGC - Multi-frame HDR Denoising in Low Light - Deblurring - New Challenge To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2026 page: https://www.cvlai.net/ntire/2026/ CHALLENGES DATES ? *Release of train data: January, 2026* ? Competitions end: March 17, 2026 SPEAKERS (TBA) SPONSORS (TBA) Website: https://www.cvlai.net/ntire/2026/ Contact: radu.timofte at uni-wuerzburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Wed Jan 21 18:47:54 2026 From: nsmattei at gmail.com (Nicholas Mattei) Date: Wed, 21 Jan 2026 17:47:54 -0600 Subject: Connectionists: Call for Papers: The 8th Games, Agents, and Incentives Workshop (GAIW)@AAMAS 2026 Message-ID: Call for Papers: The 8th Games, Agents, and Incentives Workshop (GAIW)@AAMAS 2026 Webpage: https://gtep-workshops.github.io/gaiw2026/ - Submission Deadline: February 4, 2026 (AoE) - Acceptance Notification: March 20, 2026 - Camera Ready: TBD (AoE) - Workshop: May 26, 2026 Call for Papers: We invite submissions to the 8th iteration of the Games, Agents and Incentives Workshop, co-located with AAMAS 2026 in Paphos, Cyprus, https://cyprusconferences.org/aamas2026/. Games, Agents and Incentives is a confederated workshop which focuses on agents and incentives in AI. In particular, it promotes approaches that deal with game theory (cooperative and non-cooperative), social choice, and agent-mediated e-commerce aspects of AI systems. The confederated workshop merges multiple workshops that have been associated with AAMAS in the past, which considered different aspects of the general interplay between AI and economics including CoopMAS, AMEC, and EXPLORE. Over the past two decades, the focus of agent incentives in decentralised and centralised AI systems has increased dramatically. These issues come up when designing preference aggregation mechanisms and markets; computing equilibria and bidding strategies; facilitating cooperation among agents; and fairly dividing resources. ********************************************************** PAPER SUBMISSION ********************************************************** Authors should submit full papers electronically in PDF format at: https://openreview.net/group?id=ifaamas.org/AAMAS/2026/Workshop/GAIW Formatting Guidelines: Please format papers according to the AAMAS 2026 format (https://cyprusconferences.org/aamas2026/submission-instructions/). Paper Length: Papers can be at most 8 pages long in AAMAS format. Additional pages may be used for references. Supplemental material can be appended at the end of the paper. However, reviewers are instructed to make their evaluations based on the main submission, and are not obligated to consult the supplemental material. Multiple Submissions: To widen participation and encourage discussion, there will be no formal publication of workshop proceedings. We will, however, post the accepted papers online to the benefit of the participants to the workshop. Therefore, submission of preliminary work and papers to be submitted or in preparation for submission to other major venues in the field are encouraged. Past Submissions: In order to strike a balance between new work and work that may have been presented, but not widely seen, we ask that if authors want to submit published work they do so non-anonymously and clearly indicate when and where the work was published. We will only accept work which has been published in the last calendar year (e.g., IJCAI 2025, NeurIPS 2025, AAAI 2025, AAAI 2026 and any conference held strictly after Jan 1, 2025). We invite papers on topics of game theory, mechanism design, fair allocation, computational social choice, and their applications to multi-agent systems: - Agentic AI Systems - Algorithmic mechanism design - Auctions - Behavioral Game Theory - Bounded rationality - Cooperative Games - Computational advertising - Computational aspects of equilibria - Computational social choice - Coalitions, coordination, collective action, and cooperation - Economic aspects of security and privacy - Economic aspects of distributed and network computing - Equilibrium computation - Empirical approaches to e-markets - Fairness (in ML & elsewhere) - Fair Division - Incentives in machine learning - Information and attention economics - Learning in games (e.g., solution concepts and equilibria) - Matching and Matching Markets - Negotiation - Preference aggregation and reasoning - Price differentiation and price dynamics - Social networks - Trading agent design and analysis - Uncertainty in AI and economic Best Presentation Award: The organizing committee of GAIW will be giving two awards (first-place and runner up) for best paper presentations. The award criteria include the clarity of presentation, the level of engagement, the content, and discussion handling. Inquiries: If you have any questions, direct them to alan.tsang at carleton.ca. ********************************************************** IMPORTANT DATES ********************************************************** - Submission Deadline: February 4, 2026 (AoE) - Acceptance Notification: March 20, 2026 - Camera Ready: TBD (AoE) - Workshop: May 26, 2026 ********************************************************** ORGANIZATION ********************************************************** Program Chairs Ben Armstrong, Tulane University Michael Curry, University of Illinois Chicago Hadi Hosseini, Penn State University Nicholas Mattei, Tulane University Alan Tsang, Carleton University Tomasz W?s, University of Oxford -- *Nicholas Mattei* Associate Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 247 1416 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jan 22 08:30:23 2026 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 22 Jan 2026 15:30:23 +0200 Subject: Connectionists: Invitation to join the International AI Doctoral Academy (AIDA) (new MoU 2026-2030) In-Reply-To: <003901dc8abc$e37f0770$aa7d1650$@iti.gr> References: <003901dc8abc$e37f0770$aa7d1650$@iti.gr> Message-ID: Dear AI colleague, if your University/R&D center/company has strong AI research and educational activities, ?it is welcomed to apply to join the new International AI Doctoral Academy (AIDA) MoU covering the period 2026-2030. Given the ultra-fast AI development, I think that all AI institutions (Universities, R&D centers and companies) cannot continue ?business as usual?. They must cooperate to create a critical mass and ?heavily impact both AI research and education. As a result, we have seen a great interest from AI institutions worldwide to join the new AIDA MoU (2026-2030). As you can see in the attached AIDA activity highlights for the period 2022-2025 ?(in ?AIDA at a glance?),** *AIDA succeeded in creating such a critical mass created an international ?brand name in AIDA education, and reskilling/upskilling/training/secondments. * AIDA has had an excellent benefit/cost record. For the long list of its activities, it only received minimal financial support from EU in the period 2022-2024. It was technically and financially self-sustained in the past 15 months. I firmly believe that AIDA can become an international reference point in AI education: 1. to use AI education and research in upholding scientific/democratic/social values and international cooperation 2. to strengthen its presence/activities and expand internationally for promoting these values worldwide. A summary of the ambitious AIDA plans for 2026-2030 is attached at the end of this message. *I would like to stress the AIDA initiative to create a global University education ?AI Curriculum?, in cooperation with 5 IEEE societies (in progress).* The attached new AIDA MoU has been drafted by the current AIDA Coordinator (Aristotle University of Thessaloniki). It has been discussed in the AIDA Management Board and it is now sent to strong AI institutions worldwide for internal review and statement of interest to participate? in the new AIDA MoU (2026-2030). In order to ensure AIDA financial sustainability, an annual membership fee of around 2700 Euros per AIDA Member is foreseen. The exact fee level may be lower, if other AIDA funding sources are found as detailed in the annual budget to be approved by the AIDA General Assembly each October. If there is an interest in joining AIDA, ?please: 1. Send the documents new AIDA MoU 2026-2030 , and AIDA membership 2026-2030 application form asap to your administration for review and possible approval. 2. Once you get a positive reply from your administration, please ?send the filled AIDA application form to the AIDA chair Ioannis Pitas pitas at csd.auth.gr with cc to the secretariat at i-aida.org *by the 27th February 2026*. If you need extra time for internal decision-making, let us know. You may want to forward the attached AIDA highlight record and AIDA plans to your administration for decision making. Sincerely yours Ioannis Pitas AIDA Chair, https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en *Post scriptum*: To stay current on AIDA, AI, or CV/ML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml *AIDA at a glance * *Membership:* * 78 members (59 AI Universities and 19 R&D centers/companies, 1 more is in the process of signing the AIDA accession form). *Operation highlights 2021-2025:* * *220+ educational activities with 10,000+ registrants.* o 106 AIDA courses, 3500+ registrants (62 short courses, 44 lecture series/semester courses). o 14 AIDA Summer schools, 700+ registrants. o 70 AI excellence lectures, 5600+ participants. o AIDA AICET2025 Symposium and Summer School (approximately 300 registrants). * 5 AI Mellontology (Futurology) workshops. * *384 AIDA Students (PhD and Post Docs).* * *196 AIDA Lecturers.* * 1100+ AIDA email list registrants. * 363 AI Educational Resources. * 22 AIDA educational material curators. * 320+ Dissemination/Branding Activities. *AIDA plans for 2026-2030 (in brief):* * Creation of a Global BSc/MSc/PhD AI Curriculum (current in progress, in cooperation with IEEE and ACM). * AIDA expansion worldwide and creation of a global AI Community (we already have members in USA and candidate members in Latin America). * Better AIDA educational offer to AIDA Lecturers and Students (with more involvement of each and every AIDA Member). * More and better AIDA educational offers to industry. -------------- next part -------------- An HTML attachment was scrubbed... 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