From stanciu.cristi12 at gmail.com Tue Apr 1 12:51:00 2025 From: stanciu.cristi12 at gmail.com (Cristian Stanciu) Date: Tue, 1 Apr 2025 19:51:00 +0300 Subject: Connectionists: Invitation to participate in ImageCLEF 2025: Multimedia Retrieval in CLEF Lab Message-ID: [Apologies for multiple postings] ImageCLEF 2025 Multimedia Retrieval in CLEF http://www.imageclef.org/2025/ We warmly invite you to take part in this year?s ImageCLEF evaluation campaign! With seven exciting and challenging tasks?each featuring multiple sub-tasks and unique research opportunities?there?s something for everyone. You and your team can begin development immediately, as all the training data is already available. Don?t miss the chance to showcase your skills and secure a spot on our leaderboard! *** CALL FOR PARTICIPATION *** ImageCLEF 2025 is an evaluation campaign conducted as part of the CLEF (Conference and Labs of the Evaluation Forum) labs. It features multiple research tasks, inviting teams from around the world to participate. The campaign results are published in the working notes proceedings of CEUR Workshop Proceedings (CEUR-WS.org) and presented at the CLEF conference. Additionally, selected contributions from participants may be invited for publication in the following year?s Springer Lecture Notes in Computer Science (LNCS), alongside the annual lab overviews. ImageCLEF?s target communities include, but are not limited to, researchers in information retrieval (text, vision, audio, multimedia, social media, sensor data, etc.), machine learning, deep learning, data mining, natural language processing, image and video processing, and computer vision. The campaign places particular emphasis on challenges related to multi-modality, multi-linguality, and interactive search. *** 2025 TASKS *** - ImageCLEFmedical Automatic Image Captioning - ImageCLEFmedical Synthetic Medical Images Created via GANs - ImageCLEFmedical Visual Question Answering - ImageCLEFmedical Multimodal And Generative TelemedICine (MAGIC) - Image Retrieval/Generation for Arguments - ImageCLEFtoPicto - ImageCLEF Multimodal Reasoning #ImageCLEFmedical Automatic Image Captioning (9th edition) - Training data released! https://www.imageclef.org/2025/medical/caption Interpreting and summarizing the insights gained from medical images such as radiology output is a time-consuming task that involves highly trained experts and often represents a bottleneck in clinical diagnosis pipelines.The Automatic Image Captioning task is split into 2 subtasks: Concept Detection Task, based on identifying the presence and location of relevant concepts in a large corpus of medical images and the Caption Prediction Task, where participating systems are tasked with composing coherent captions for the entirety of an image Organizers: Hendrik Damm, Johannes R?ckert, Christoph M. Friedrich, Louise Bloch, Raphael Br?ngel, Ahmad Idrissi-Yaghir, Benjamin Bracke (University of Applied Sciences and Arts Dortmund, Germany), Asma Ben Abacha (Microsoft, USA), Alba Garc?a Seco de Herrera (University of Essex, UK), Henning M?ller (University of Applied Sciences Western Switzerland, Sierre, Switzerland), Henning Sch?fer, Tabea M. G. Pakull (Institute for Transfusion Medicine, University Hospital Essen, Germany), Cynthia S. Schmidt, Obioma Pelka (Institute for Artificial Intelligence in Medicine, Germany) #ImageCLEFmedical Synthetic Medical Images Created via GANs (3rd edition) - Train & Test data released! https://www.imageclef.org/2025/medical/gan The task aims to further investigate the hypothesis that generative models generate synthetic medical images that retain "fingerprints" from the real images used during their training. These fingerprints raise important security and privacy concerns, particularly in the context of personal medical image data being used to create artificial images for various real-life applications. In the first subtask, participants will analyze synthetic biomedical images to determine whether specific real images were used in the training process of generative models. In the second subtask, participants will link each synthetic biomedical image to the specific subset of real data used during its generation. The goal is to identify the particular dataset of real images that contributed to the training of the generative model responsible for creating each synthetic image. Organizers: Alexandra Andrei, Liviu-Daniel ?tefan, Mihai Gabriel Constantin, Mihai Dogariu, Bogdan Ionescu (National University of Science and Technology POLITEHNICA Bucharest, Romania), Ahmedkhan Radzhabov, Yuri Prokopchuk (National Academy of Science of Belarus, Minsk, Belarus), Vassili Kovalev (Belarusian Academy of Sciences, Minsk, Belarus), Henning M?ller (University of Applied Sciences Western Switzerland, Sierre, Switzerland) #ImageCLEFmedical Visual Question Answering (3rd edition) - Train & Test data released! https://www.imageclef.org/2025/medical/vqa This year, the challenge looks at the integration of Visual Question Answering (VQA) with synthetic gastrointestinal (GI) data, aiming to enhance diagnostic accuracy and learning algorithms. The challenge includes developing algorithms that can interpret and answer questions based on synthetic GI images, creating advanced synthetic images that mimic accurate diagnostic visuals in detail and variability, and evaluating the effectiveness of VQA techniques with both synthetic and real GI data. The 1st subtask asks participants to build algorithms that can accurately interpret and respond to questions pertaining to gastrointestinal (GI) images. This involves understanding the context and details within the images and providing precise answers that would assist in medical diagnostics, while the 2nd subtask focuses on the generation of synthetic GI images that are highly detailed and variable enough to closely resemble real medical images. Organizers: Steven A. Hicks, Sushant Gautam, Michael A. Riegler, Vajira Thambawita, P?l Halvorsen (SimulaMet, Norway) #ImageCLEFmedical Multimodal And Generative TelemedICine (MEDIQA-MAGIC) (3rd edition) - Train data is released! https://www.imageclef.org/2025/medical/mediqa The task extends on the previous year?s dataset and challenge based on multimodal dermatology response generation. Participants will be given a clinical narrative context along with accompanying images. The task is divided into two relevant sub-parts: (i) segmentation of dermatological problem regions, and (ii) providing answers to closed-ended questions (participants will be given a dermatological query, its accompanying images, as well as a closed-question with accompanying choices ? the task is to select the correct answer to each question) Organizers: Asma Ben Abacha, Wen-wai Yim, Noel Codella (Microsoft), Roberto Andres Novoa (Stanford University), Josep Malvehy (Hospital Clinic of Barcelona) #Image Retrieval/Generation for Arguments (4th edition) - In collaboration with Touch?! https://www.imageclef.org/2025/argument-images Given a set of arguments, the task is to return for each argument several images that help convey the argument. A suitable image could depict the argument or show a generalization or specialization. Participants can optionally add a short caption that explains the meaning of the image. Images can be either retrieved from the focused crawl or generated using an image generator. Organizers: Maximilian Heinrich, Johannes Kiesel, Benno Stein (Bauhaus-Universit?t Weimar), Moritz Wolter (Leipzig University), Martin Potthast (University of Kassel, hessian.AI, scads.AI) #ImageCLEFtoPicto (3rd edition) - Train & Test data released! https://www.imageclef.org/2025/topicto The goal of ToPicto is to bring together linguists, computer scientists, and translators to develop new translation methods to translate either speech or text into a corresponding sequence of pictograms. The task refers to the relationship between text and related pictograms and is composed of 2 subtasks: the Text-to-Picto task, which focuses on the automatic generation of a corresponding sequence of pictogram terms and the Speech-to-Picto task, which focuses on directly translating speech to pictogram terms. Organizers: Diandra Fabre, C?cile Macaire, Benjamin Lecouteux, Didier Schwab (Universit? Grenoble Alpes, LIG, France) #ImageCLEF Multimodal Reasoning (new) - Train data released! https://www.imageclef.org/2025/multimodalreasoning MultimodalReason is a new task focusing on Multilingual Visual Question Answering (VQA). The formulation of the task is the following: Given an image of a question with 3-5 possible answers, participants must identify the single correct answer.The task is split into many subtasks, each handling a different language (English, Bulgarian, Arabic, Serbian, Italian, Hungarian, Croatian, Urdu, Kazakh, Spanish, with a few more on the way). The task's goal is to assess modern LLMs' reasoning capabilities on complex inputs, presented in different languages, across various subjects. Organizers: Dimitar Dimitrov, Ivan Koychev (Sofia University "St. Kliment Ohridski", Bulgaria), Rocktim Jyoti Das, Zhuohan Xie, Preslav Nakov (Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE) *** IMPORTANT DATES *** (may vary depending on the task) - Run submission deadline: May 10, 2025 - Working notes submission: May 30, 2025 - CLEF 2025 conference: September 9-12, 2025, Madrid, Spain *** REGISTRATION *** Follow the instructions here https://www.imageclef.org/2025 *** OVERALL COORDINATION *** Bogdan Ionescu, Politehnica University of Bucharest, Romania Henning M?ller, HES-SO, Sierre, Switzerland Dan-Cristian Stanciu, Politehnica University of Bucharest, Romania On behalf of the organizers, Dan-Cristian Stanciu https://www.aimultimedialab.ro/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.furnari at unict.it Wed Apr 2 03:00:00 2025 From: antonino.furnari at unict.it (Antonino Furnari) Date: Wed, 2 Apr 2025 07:00:00 +0000 Subject: Connectionists: [CFP] ICIAP 2025 - 23RD INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING - SECOND ROUND SUBMISSION IS OPEN - DEADLINE 15th APRIL - ONLY TWO WEEKs LEFT! In-Reply-To: References: Message-ID: ICIAP 2025 - 23RD INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING - CALL FOR PAPERS ? DEADLINE 15th APRIL You are invited to submit papers to the 23rd International Conference on Image Analysis and Processing - ICIAP 2025, which will be held in Rome on 15th - 19th September 2025. https://www.iciap.org/ AIM AND SCOPE ICIAP 2025 (International Conference on Image Analysis and Processing) is the 23rd edition of a series of conferences organized every two years by CVPL, the Italian Member Society of the International Association for Pattern Recognition (IAPR). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and application aspects, with particular emphasis on the following topics: * Video Analysis and Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multiview Geometry and 3D Computer Vision * Image Analysis, Detection, and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics and Biometrics * Image Processing for Cultural Heritage * Robot and Vision * Brave New Ideas * AI and science * X-Realities * Embedded Vision The conference will be held in Rome, Italy on 15-19th September, 2025. The conference aims to serve as a stimulating discussion forum for researchers to meet, present their work, and exchange ideas, including oral and poster sessions, and offering invited keynote talks by distinguished speakers. The conference will also include satellite workshops and tutorials. IMPORTANT DATES Second round paper submission & notification: * Submission: 15 April 2025 ? two weeks left! * Notification to Authors: 15 June 2025 Conference: * Main conference: 17th - 19th September 2025 * Workshop and Tutorials: 15th - 16th September 2025 SUBMISSION All submissions will be handled electronically via the conference?s CMT Website: https://cmt3.research.microsoft.com/ICIAPconf2025 Please find more information on author guidelines and templates here: https://sites.google.com/view/iciap25/calls/call-for-papers The maximum number of pages is 12 including references. Papers will be selected through a double-blind review process, taking into account originality, significance, clarity, soundness, relevance and technical contents. Each submission will be managed by an Area Chair and reviewed by at least three reviewers. Accepted papers will be included in the ICIAP 2025 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). INVITED SPEAKERS * Prof. Zeynep Akata, University of Tuebingen, Germany * Prof. Michael Bronstein, University of Oxford, United Kingdom * Prof. Francesco Locatello, ISTA, Austria * Dr. Vittorio Ferrari, Synthesia, United Kingdom ORGANIZERS General Chairs: * Emanuele Rodol?, Sapienza University of Rome * Iacopo Masi, Sapienza University of Rome * Fabio Galasso, Sapienza University of Rome Technical Program Chairs: * Marco Cristani, University of Verona, Italy * Paolo Soda, Universit? Campus Bio-Medico di Roma * Luisa Verdoliva, Universit? degli Studi di Napoli Federico II * Philippos Mordohai, Stevens Institute of Technology Workshop Chairs: * Giovanni Maria Farinella, Universit? di Catania, Italy * Silvia Zuffi, IMATI-CNR, Italy Tutorial Chairs: * Zorah Laehner, University of Siegen * Alessio Del Bue, Italian Institute of Technology Special Session Chair: * Cosimo Distante, Institute of Applied Sciences and Intelligent Systems, CNR, Italy Industrial Chairs: * Simone Scardapane, Sapienza University, Italy * Ignas Budvytis, University of Cambridge, UK Publicity and Social Media Chair: * Antonino Furnari, University of Catania, Italy Publication Chairs: * Danilo Avola, Sapienza University of Rome, Italy Web Chair: * Daniele Pannone, Sapienza University of Rome, Italy Local Arrangement Chairs: * Danilo Avola, Sapienza University of Rome * Daniele Pannone, Sapienza University of Rome * Daniele Trappolini, Sapienza University of Rome * Paolo Mandica, Sapienza University of Rome * Luca Scofano, Sapienza University of Rome * Antonio D'Orazio, Sapienza University of Rome CVPL Relation Chair: * Luigi Cinque, Sapienza University of Rome, Italy CONTACTS info at iciap.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From vito.trianni at istc.cnr.it Wed Apr 2 04:29:35 2025 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Wed, 2 Apr 2025 10:29:35 +0200 Subject: Connectionists: webinar #2 of the HACID series: Collective Intelligence in the era of LLMs Message-ID: Dear all, the European project HACID that we coordinate is organising the second webinar of the series dedicated to hybrid collective intelligence (https://www.hacid-project.eu/hacid-webinar-series/) It will take place on Thursday, April the 24th, from 5pm to 6pm CET. To participate, register here: https://nesta.zoom.us/meeting/register/xEz0RfmeQxag4GZMPPgdXQ Title: Collective Intelligence in the era of LLMs Theme: Collective intelligence underpins the success of groups, organisations, markets and societies. At the same time, large language models (LLMs) are transforming how information is aggregated, accessed and transmitted online. In this webinar, three experts in the field will discuss the unique opportunities and challenges this transformation poses for collective intelligence. After that, webinar participants can engage in a final panel discussion session. Speakers: Jason Burton, Copenhagen Business School https://www.linkedin.com/in/jasonwilliamburton/ Lucie Flek University of Bonn https://www.linkedin.com/in/flekova/ Nikolas Z?ller Max Planck Institute for Human Development, Berlin https://www.linkedin.com/in/nikolas-z?ller-6893b3b1/ ======================================================================== Vito Trianni, Ph.D. ISTC-CNR Via Gian Domenico Romagnosi 18A 00196 Roma, Italy e-mail: vito.trianni@(no_spam)istc.cnr.it Tel: +39 06 44595277 www: http://www.istc.cnr.it/people/vito-trianni ======================================================================== From amatra at essex.ac.uk Wed Apr 2 04:35:35 2025 From: amatra at essex.ac.uk (Matran-Fernandez, Ana) Date: Wed, 2 Apr 2025 08:35:35 +0000 Subject: Connectionists: Essex BCI-NE Webinar 9 April: Dr Camille Jeunet-Kelway In-Reply-To: References: Message-ID: [cid:image001.png at 01DB7623.3CFA9670] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: BCI-based neurofeedback training procedures to restore or improve motor skills: a user-centred approach Delivered by Dr Camille Jeunet-Kelway (University of Bordeaux) The webinar will take place over Zoom on Wednesday, 9th April 2025, at 2pm UK time Zoom meeting ID: 929 3797 0224 Abstract: Beyond the control of diverse applications, EEG-based BCIs can be used to improve or restore skills through neurofeedback training (NFT) procedures. NFT procedures consist in identifying neuromarkers that underlie target abilities (e.g., cognitive or motor skills), and in training one to voluntarily self-regulate those neuromarkers to improve the associated skills. During the training, users/patients are fed-back with information regarding the modulations of their brain activity. This feedback is meant to enable them to optimise their self-regulation strategies and thereby their performance. Thus, a major challenge is to determine how to maximise the relevance of the feedback and by that the NFT efficiency. In this keynote, I will introduce the research we are leading on that topic, especially in the context of NFT procedures targeting sensorimotor rhythms to improve or restore motor skills. I will describe the 3-step user-centred approach that we develop, namely 1. Basic neuroscience research to identify relevant and reliable neuromarkers, 2. Applied research in ergonomics to optimise the feedback, and 3. Translational research in humanities to maximise acceptability and usability. I will illustrate this approach through 3 domains of application: motor rehabilitation after stroke, the reduction of motor symptoms in Parkinson's disease and the improvement of athletic performance. Speaker Biography: Camille Jeunet-Kelway received her PhD in cognitive sciences in 2016 at the University of Bordeaux, France. After a post-doctoral fellowship in Inria (Rennes, France) and EPFL (Geneva, Switzerland), she was recruited as a tenured CNRS Research Scientist in 2018. In 2021, she has joined the institute for cognitive and integrative neurosciences (INCIA) in Bordeaux, where she leads interdisciplinary research on the use of EEG-BCIs to improve or restore cognitive and motor abilities, both for clinical (stroke patients and patients with Parkinson disease) and non-clinical (athletes) populations. She is particularly interested in studying the learning mechanisms underlying neurofeedback training as well as the acceptability of neurofeedback procedures and BCI technologies. Camille Jeunet-Kelway has received 3 PhD awards, the European Label as well as 5 national fundings from the French research agency for her research. In 2022 she was awarded the Early Career Award in neuroscience from the BCI Society. The Essex BCI-NE Lab webinars series takes place on the first or second Wednesday of the month over Zoom and our webinars are open to all. Speakers are invited to talk about their research for 45-50 minutes followed by a Q&A session/discussion. 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 Next speaker: * Maryam Alimardani (May 2025) - https://scholar.google.com/citations?user=QGYjBQoAAAAJ&hl=en If you don't want to miss our next webinars, please email amatra at essex.ac.uk to ask to be added to our webinars mailing list. Best wishes, Ana ------------------------ Dr Ana Matran-Fernandez PhD Lecturer in Neural Engineering and Artificial Intelligence Department of Computer Science and Electronic Engineering (CSEE) University of Essex Office: 5B.539 E amatra at essex.ac.uk Email notices: 1) I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. ------------------------ Dr Ana Matran-Fernandez PhD Lecturer in Neural Engineering and Artificial Intelligence Department of Computer Science and Electronic Engineering (CSEE) University of Essex Office: 5B.539 E amatra at essex.ac.uk Email notices: 1) I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 200685 bytes Desc: image001.png URL: From efipatm at gmail.com Wed Apr 2 07:29:59 2025 From: efipatm at gmail.com (Efi P) Date: Wed, 2 Apr 2025 14:29:59 +0300 Subject: Connectionists: Call for Participation: AIDA Symposium & Summer School on "Artificial Intelligence and Machine Learning Cutting Edge Trends " (AIDA AICET2025), 14-18th July 2025, Thessaloniki, Greece Message-ID: Dear AI, CS/CSE, or ECE/EE student, scientist, engineer, professional, AI enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to register and attend the upcoming hybrid (local/remote) ?AIDA AICET2025 ? Symposium & Summer School on "AI/ML Cutting Edge Trends ? which will take place in Aristotle University of Thessaloniki (AUTH), Greece, 14-18th July 2025. AIDA AICET2025 Symposium and School will feature 15 top-tier keynote and invited lectures, and 30 excellent tutorials/short courses/special sessions covering the latest advancements in *AI and Machine Learning*, with distinguished speakers from leading universities in the USA and Europe (many having 50K+ and several having around 100K citations). Its various tracks are suitable for students, scientists, engineers, professionals from any ECE/EE or CS/CSE discipline and for any AI enthusiast. AIDA AICET2025 covers a wide range of topics related to a) AI core including Deep Learning and Generative AI, b) various AI applications, c) AI programming skill development, and c) social impact of AI and AI ethics. *AIDA AICET2025 Program Topics* - Deep Learning, Generative Artificial Intelligence, Foundation Models, Large Language Models - Machine Learning, AI Foundations, Pattern Recognition, Reinforcement Learning and Sequential Decision-making - Trustworthy AI, Explainable AI, AI Ethics and Governance - Adversarial, Continual, Federated, Transfer Learning, Knowledge distillation - Distributed/decentralized AI, Networked Intelligence, Cloud/Edge AI, HW/SW for AI acceleration - Computer Vision, Intelligent Robotics, AI and Autonomous Systems/Cars/Vehicles - Natural Language Processing, AI for Speech, Music/Sound Analysis and Synthesis, AI for Signal Processing, - Human-Centered Machine Learning, Human-Centered Media Analysis, Artificial Social Intelligence - Neurosymbolic AI, Knowledge Representation and Problem-Solving, Reasoning and planning, - AI and Games, Deep Arts, AI in Humanities, AI-powered Education - AI and Neuroscience, AI in Health Sciences, - AI in Material Science, AI and Quantum Computing, AI and Wireless Computing - AI in Markets and Finance, AI for Marketing, AI and Social Media - AI and Disinformation, AI and Forensics, AI Bias ? *Bonus:* A pre-symposium short course on Deep Learning by Prof. Ioannis Pitas (AUTH) on *July 13, 2025* [see details: https://icarus.csd.auth.gr/pre-symposium-introductory-short-course-on-deep-learning/ ]. *Details* *?** Dates: July 14-18, 2025* ? *On-site:* KEDEA Building , AUTH, Thessaloniki, Greece. ? *Online:* Zoom links will be provided in due time. ? *Certificate of Attendance* will be provided upon request. ? *Seaside gala dinner.* Two optional* excursions* before/after AICET2025 to a) the ancient Macedonian capital Vergina & b) Western Macedonia (Kastoria). ? *Register Now*: https://icarus.csd.auth.gr/aida-auth-ai-cutting-edge-trends-aicet2025-summer-symposium-and-school/ *?** Group Registration*: Group registrations (comprising 5 registrants or more) can enjoy a 20% discount on the above registration fees (or even more in the case of a massive group registration). More information *on the various lectures, tutorials/short courses, registration options, background needed and general conditions *can be found on the event webpage . In case of questions, you can contact the symposium manager Ms. Efi Patmanidou epatman at csd.auth.gr We look forward to welcoming you to this exciting AI/ML event in beautiful Thessaloniki! On behalf of the AIDA AICET2025 Organizing Committee Prof. Ioannis Pitas (AIDA chair, AUTH, AICET2025 chair) Prof. Efstratios Gavves (University of Amsterdam), Prof. Stefano Berretti (University of Firenze), Prof. Evangelos Kanoulas (University of Amsterdam) ? *Gold Sponsor:* Cook Medical ? *Technical Sponsors:* TEMA , AI.BIG cluster , SIMAR R&D projects and AIDA . 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Wed Apr 2 15:45:39 2025 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Wed, 2 Apr 2025 20:45:39 +0100 Subject: Connectionists: =?utf-8?b?5Lq65bel55+l6IO944Gu5aSn44GN44Gq6Kqy?= =?utf-8?b?6aGM44Go5Y+v6IO95oCn44Gr6Zai44GZ44KL5LiW55WM55qE44Gq44Kk?= =?utf-8?b?44OZ44Oz44OIR2xvYmFsIFN1bW1pdCBvbiBPcGVuIFByb2JsZW1zIGZv?= =?utf-8?q?r_AI=2E_Sakura_Deeptech=2C_Shibuya_Sakura_Stage=2C_Tokyo?= =?utf-8?q?=2C_Japan=2C_9-11th_April_2025=2E?= Message-ID: Dear list owner, My team have organized an event on neuroscience, AI, and entrepreneurship in Japan that we feel would be of interest to your readers. Would you do us the favour of forwarding on to the list? ????????????AI????????????????????????????????????????????????????????????????????????? Many thanks, Ruairidh and Thinking About Thinking --------------- ?????????????????????????? Global Summit on Open Problems for AI . Sakura Deeptech, Shibuya Sakura Stage, Tokyo, Japan, 9-11th April 2025. [image: AE Banner Landscape.png] What are the next set of challenges for AI algorithms? What are the big possibilities in entrepreneurship and business application? AI ??????????????????????????????????????????????? We are most excited to announce the Algorithmic Innovation and Entrepreneurship Global Summit on Open Problems for AI . Sakura Deeptech, Shibuya Sakura Stage, Tokyo, Japan, 9-11th April 2025. Join world-leading AI researchers, policy makers, and entrepreneurs in this global Summit over three days of keynote talks, panels, and breakout sessions. ??????????????????????? 3 ??????????? ?????????????? AI ???????????????????? ???????????? Day 1 - Algorithms ?????? We ask what the fundamental challenges for developing AI algorithms are, as well as promising avenues for overcoming them. AI ????????????????????????????????????????????????? We?ll be hearing from: Dr Shane Gu (Google *DeepMind*), Prof. Taro Toyoizumi (*Riken* CBS), Prof. Masanori Koyama (*University of Tokyo*), Dr Kai Arulkumaran (*Araya* Inc.), Dr Emityaz Khan (*Riken AIP*), Professor Masanori Koyama (*University of Tokyo*), Prof. Yunzhe Liu (*Beijing Normal University*), Dr Jad Tarifi (*Integral AI*), Kiran Mysore (University of Tokyo *UTEC*), Dr Jiaxian Guo (*Google Research*), Dr James Whittington (*Stanford* & *Oxford* University & Zyphra), Dr Lucy Lai (*Harvard* University), Dr Yusuke Iwasawa (*University of Tokyo*), Dr Sam Passaglia (*Cohere*) Panel on ?Is Scale all we need?? ??????????????????? Panel on ?What is the next big breakthrough in AI?? ?AI ???????????????????? Day 2 - Ethics ????? We ask what the fundamental ethical challenges and opportunities are for AI. AI??????????????????????? Keynotes: Prof. Yuko Harayam (Head of *GPAI* at NICT), Prof. Arisa Ema (*University of Tokyo* & *RIKEN* CAIP), Prof. Toshie Takahashi (*Waseda University*), Dr Colin Rowat (*Rakuten*, Cambridge), Dr Joe Ledsam (*Google Health*), Kenny Song (*Citadel *AI), Kevin Loi-Heng (*Avalon* Insights), Chris Lengerich (*Context* Fund), Evan Burkosky (*Kimaru* AI), Tiffany Kayo (*Coral Capital*) Panel: Micro Ethics - What Can Individual Researchers Do for Ethical AI? ???? AI ?????????????????????? Chair: Nicolay Hagen (NTNU) Panel: Meso Ethics - What Can Organizations Do for Ethical AI? ??????? AI ??????????????? Chair: Prof. Skyler Wang (McGill) Panel: Macro Ethics - If AI is the answer, what is the question? AI??? Chair: Dr Ruairidh McLennan Battleday (Harvard & MIT) Day 3 - Applications and entrepreneurship ???? We ask what the fundamental challenges and opportunities are in applications for social good and entrepreneurship. ????????????????????????????????????????? Keynotes: Prof. Yukie Nagai (*University of Tokyo*), Dr Hiroaki Kitano (Adjunct Professor, *OIST*), Sho Ito (Deputy Director of Innovation, *Cabinet Office*, Government of Japan), Ilya Kulyatin (*Tokyo AI*; TAI), Robert Lange (*Sakana* AI), Dr Daisuke Okanohara (*Preferred Networks*), Dr Conglong Li (*Google Deepmind*), Takahiro Matsumoto (*Cisco / Robust Intelligence*), Dr Jungo Kasai (*Kotoba Tech*), Dr Nick McGreivy (*Princeton* University), Dr Andrew Fyfe (*Neutone*), Elizabeth Oda (*Braid* AI), Dr Tiago Ramalho (*Recursive*), Francis Hamilton (*Tektome* Inc), Dr Qi Chen (*Paragraph*), Kosuke Arima (*Stockmark*), Dr Yoshitaka Ushiku (*NexaScience*) Dr Joshua Tan (*Metagov*) Run in partnership with the *Matsuo-Iwasawa Lab*, the Global Partnership on Artificial Intelligence (*GPAI* at NICT), and *Tokyo AI* (TAI). ????????????????????????????????? AI ???????????? This should be an exciting and productive event, and we expect an audience of 200 of Japan?s best AI researchers and entrepreneurs at student, early-stage, and full career levels. ??????????????????????????????????????????????? AI ??????? 200 ??????????????? Student tickets: $20 for all three days ?3000 ??3???? General tickets: $20 per day ?3000 1????? Reserve your place now! ?????????? Ruairidh , Lucy , and James Thinking About Thinking -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: AE Banner Landscape.png Type: image/png Size: 5041572 bytes Desc: not available URL: From stm at socio.org.uk Wed Apr 2 10:10:19 2025 From: stm at socio.org.uk (STM STMet 2024) Date: Wed, 2 Apr 2025 19:40:19 +0530 (IST) Subject: Connectionists: DDP 2025 Message-ID: <2111786952.839347.1743603019090@ap1.myprofessionalmail.com> Fifth International Conference on Digital Data Processing (DDP 2025) University of Bedfordshire. Luton. (Near London) UK. August 18-20, 2025 (www.socio.org.uk/ddp) (IEEE Publication) As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processi! ng needs. Many studies focus on developing models and systems for analysing large datasets. Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Synthetic data Data synthesis Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning impact on data processing Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data General Chair General Chair Ezendu Ariwa Warwick University, UK Program Chairs Youshan Zhang, Yeshiva University, USA Simon Fong, University of Macau, Macau Duong Van Hieu, Tien Giang University, Vietnam Program Co-chairs Martin Lopez Nores, University of Vigo, Spain Frankie Wilson, University of Oxford. UK Publications All accepted and presented papers will be submitted to IEEE Xplore for publication and indexing. The DDP 2025 has co-located workshops. Modified versions of the papers will appear in the following journals. Journal of Digital Information Management International Journal of Computational Linguistics Performance Measurements and Metrics Important Dates Submission of Papers: June 20, 2025 Notification of Acceptance/Rejection: July 15, 2025 Camera-ready: August 10, 2025 Registration: August 10, 2025 Conference Dates: August 18-20, 2025 Post-Conference Proceedings Release: November 30, 2025 Paper submission Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/ Contact: ddp at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.miasnikof at utoronto.ca Wed Apr 2 12:19:19 2025 From: p.miasnikof at utoronto.ca (P Miasnikof) Date: Wed, 2 Apr 2025 16:19:19 +0000 Subject: Connectionists: Conference on Networks and Graphs - Belgrade Serbia, Aug 25-27 2025 In-Reply-To: References: Message-ID: Hi, Could you please post the following call on the mailing list? Thank you! Pierre ################################################# Hello, We would like to invite you to participate in the Conference on Networks and Graphs, which will be held at the Institute of Physics Belgrade, Aug 25-27 2025. Details can be found here: https://networksgraphs.net/local.html We look forward to hosting you and hearing about your interesting work! Best, Pierre Miasnikof (on behalf of the organizing committee) -------------- next part -------------- An HTML attachment was scrubbed... URL: From michele.ferrante at nih.gov Wed Apr 2 17:19:53 2025 From: michele.ferrante at nih.gov (Ferrante, Michele (NIH/NIMH) [E]) Date: Wed, 2 Apr 2025 21:19:53 +0000 Subject: Connectionists: Reasoning Algorithms Across Species, Diagnoses, and Development: Theoretical Frameworks Informing Causal Manipulations Message-ID: NIH Workshop: Reasoning Algorithms Across Species, Diagnoses, and Development: Theoretical Frameworks Informing Causal Manipulations Workshop Event Details When: April 23, 2025, 11:00 a.m.-5:00 p.m. ET Where: Virtual Join us, register for the NIH Workshop Reasoning Algorithms Across Species, Diagnoses, and Development: Theoretical Frameworks Informing Causal Manipulations Workshop! The goal of this workshop is to advance our understanding of the brain's reasoning algorithms, explore effects of brain disorders on these algorithms, and discuss whether computational models of reasoning can suggest novel interventions. For this workshop, we define brain reasoning algorithms as the neural processes underlying reasoning and logical processing. This includes specific neural pathways and activity patterns that combine or transform information to derive new knowledge without further interaction with the environment (internal processing). Neural reasoning algorithms could be applied to various types of information such as quantity, number, relative spatial locations, social hierarchies, etc. Discussion topics during the workshop will include theoretical frameworks for brain reasoning; comparing across species, development, and brain disorders; and the possible development of treatments using causal manipulations based on the neural activity patterns underlying reasoning. Finally, the workshop will also discuss reasoning deficits as computational failures of brain algorithms, and whether computational models can help pinpoint the exact failure points in brain disorders and suggest remediation. * Session 1: Cross-Species and Developmental Insights into Reasoning; Co-chair: Jessica Cantlon Panelists: Silvia Bunge, Amanda Seed, Caren Walker * Session 2: Neurobiological Foundations of Reasoning; Co-chair: Vincent Ferrera Panelists: Benjamin Hayden, Helen Barron, Theresa Desrochers * Session 3: Computational Models of Reasoning; Co-chair: Josh Tenenbaum Panelists: Yael Niv, Tal Linzen, Sangeet Khemlani Reasonable Accommodation Individuals who need reasonable accommodations to participate in this event should contact Danielle Johnikin at 301-670-4990 or djohnikin at scgcorp.com at least 5 days in advance. This event is free (OBSSR-Sponsored) and open to the public. We encourage you to share this invitation with your professional networks. Regards, Michele Book-a-meeting | TPM: Translational Digital & Computational Psychiatry | NOFOs --- Michele Ferrante Health Scientist Administrator National Institute of Mental Health National Institutes of Health 6001 Executive Blvd, North Bethesda, MD 20852 | Office Number: 6233 michele.ferrante at nih.gov -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Thu Apr 3 03:45:07 2025 From: info at icas.cc (ICAS Organizing Committee) Date: Thu, 3 Apr 2025 09:45:07 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Participation=3A_International?= =?utf-8?q?_Artificial_Intelligence_Summer_School_=E2=80=93_IAISS_2?= =?utf-8?q?025=2C_Sept_21-25=2C_Riva_del_Sole_Resort_=26_SPA_=40_Tu?= =?utf-8?q?scany_*_Registration=3A_by_April_23_*?= Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. Riva del Sole Resort & SPA @ Tuscany, Italy, Sept 21-25, 2025 https://2025.iaiss.cc iaiss at icas.cc REGISTRATION: by April 23 (AoE) https://2025.iaiss.cc/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract must be submitted by April 23 during the registration process. LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Yuki Asano, University of Technology Nuremberg, Germany Pierre Baldi, University of California, Irvine, CA, USA Lucas Beyer, OpenAI, Z?rich, Switzerland Wessel Bruinsma, Microsoft Research Amsterdam, The Netherlands Sam Buchanan, Toyota Technological Institute at Chicago, USA Floris Geerts, University of Antwerp, Belgium Sven Giesselbach, Fraunhofer Institute - IAIS, Germany & Telecom Systems Chin-Wei Huang, Microsoft Amsterdam, The Netherlands Vicky Kalogeiton, Ecole Polytechnique Paris, France Thomas Kipf, Google DeepMind, USA Yi Ma, University of California, Berkeley, USA Abigail See, Google DeepMind, London, UK Michal Valko, Meta Paris, France More Speakers TBA TUTORIAL SPEAKERS: Druv Pai, University of California, Berkeley, USA Yaodong Yu, University of California, Berkeley, USA Peng Wang, University of Michigan, Ann Arbor, USA https://2025.iaiss.cc/lecturers/ https://2025.iaiss.cc/lectures/ VENUE: https://2025.iaiss.cc/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 e: booking.events at rivadelsole.it w: https://www.rivadelsole.it/en/ REGISTRATION: https://2025.iaiss.cc/venue/ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School ? IAISS 2025 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School 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 IAISS attendants. The Summer School 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 Summer School. Language: English. To participate in the IAISS 2025, all attendants must (1/2) register for the school (by April 23, 2025) and (2/2) book accommodation at the school venue, ?Riva del Sole Resort & SPA? (by July 23, 2025); all attendants must stay at the ?Riva del Sole Resort & SPA?. Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss at icas.cc). IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS 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 IAISS 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 IAISS 2025 should register as soon as possible: https://2025.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2025 Organizing Committees. https://2025.iaiss.cc iaiss 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://2025.iaiss.cc the News Section: https://2025.iaiss.cc/category/news/ and the FAQ: https://2025.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * *8th Advanced Course on Data Science & Machine Learning - ACDL 2025, **9**-13 June*, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy *An Interdisciplinary Residential Course: from Deep Learning to Generative Artificial Intelligence* https://acdl2025.icas.events/registration/ https://acdl2025.icas.events/ acdl at icas.cc The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *11th International Conference on Learning, Optimization and Data ? LOD 2025, *21?24 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2025.icas.events/ lod at icas.cc *5th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience ? ACAIN 2025,* 21?24 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2025.icas.events/ acain at icas.cc The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS - The Interdisciplinary Centre of Advanced Studies* *https://icas.cc/* -------------- next part -------------- An HTML attachment was scrubbed... URL: From emanuel.dinardo at uniparthenope.it Thu Apr 3 07:24:54 2025 From: emanuel.dinardo at uniparthenope.it (EMANUEL DI NARDO) Date: Thu, 3 Apr 2025 11:24:54 +0000 Subject: Connectionists: [CfP] - Special Session on High Performance Computing for AI-driven Genomics - CIBB 2025 Message-ID: [Apologies if you receive multiple copies of this CfP] =================================================================== Special Session on High Performance Computing for AI-driven Genomics @ CIBB 2025 =================================================================== Call for Papers =================================================================== September 10 - 12, 2025, Milan, Italy Conference Website: https://www.bioinformatics.polimi.it/CIBB2025/#special-tracks =================================================================== Aims and Scope: ------------------------------------------------------------------------------ The growing availability of genomic data represents both a vast resource and a significant computational challenge. This enormous volume of data provides valuable insights into the DNA structure of organisms. However, processing a massive amount of genomic sequences demands substantial computational power. High-Performance Computing (HPC) infrastructures have become pivotal for efficiently exploring, analyzing, and interpreting large genomic collections, enhancing advancements across all fields of computational genomics. Moreover, GPU-accelerated computing enables highly parallelized operations, significantly improving the efficiency of deep learning models, large-scale sequence alignments, and genomic simulations. This special session aims to bring together researchers working at the intersection of deep learning, High-Performance Computing (HPC), including GPU-accelerated computing, alongside genomic data modeling and analysis. By focusing on the integration of advanced computational techniques with genomic research, the session fosters collaboration and innovation in developing new methodologies for tackling the challenges posed by large-scale genomic datasets. ------------------------------------------------------------------------------ Topics of Interest: ------------------------------------------------------------------------------ - Deep Learning for Genomic Data Modeling - Generative Models for Synthetic Genomes Generation - Computer Vision Integration in Computational Genomics - Modeling Genome and Pangenome Large-Scale Graphs with Graph Neural Networks - Leveraging Large Language Models (LLMs) in Genomic Data Science - Explainable AI in Genomics: Methods and Applications - High-Performance Computing for Scalable Genomic Workflows ------------------------------------------------------------------------------ Special Session Organizers: ------------------------------------------------------------------------------ Ilaria Billato, University of Padova, Italy Riccardo Ceccaroni, Sapienza University of Rome, Italy Emanuel Di Nardo, University of Naples Parthenope, Italy Lorenzo Di Rocco, Sapienza University of Rome, Italy Umberto Ferraro Petrillo, Sapienza University of Rome, Italy ------------------------------------------------------------------------------ Important Dates: ------------------------------------------------------------------------------ - Short paper submission: April 30, 2025 - Acceptance/rejection notification: June 23-30, 2025 - Camera-ready short paper submission: July 6, 2025 - Conference: September 10 - 12, 2025 ------------------------------------------------------------------------------ Proceedings: ------------------------------------------------------------------------------ Submitted contributions will be peer-reviewed, and all accepted papers presented at the conference will be invited to submit extended versions for publication in the Springer Lecture Notes in Bioinformatics (LNBI) or a selected top bioinformatics journal. ?????????????????????????? ------ Emanuel Di Nardo, PhD University of Naples Parthenope Naples, Italy emanuel.dinardo at uniparthenope.it https://research.emanueldinardo.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Apr 3 10:20:01 2025 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 03 Apr 2025 07:20:01 -0700 Subject: Connectionists: NEURAL COMPUTATION - April 1, 2025 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 37, Number 4 - April 1, 2025 Now available for online download: http://www.mitpressjournals.org/toc/neco/37/4 http://cognet.mit.edu/content/neural-computation Articles Context-sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration Bruce Graham, Jim Kay, and William Phillips Spiking Neuron-Astrocyte Networks for Image Recognition Jhunlyn Juance Lorenzo, Juan Antonio Rico-Gallego, St?phane Binczak, and Sabir Jacquir Active Inference and Intentional Behaviour Tommaso Salvatori, Karl Friston, Takuya Isomura, Alexander Tschantz, Alex Kiefer, Tim Verbelen, Magnus Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, and Maxwell J. D. Ramstead Learning in Wilson-Cowan Model for Metapopulation Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, and Duccio Fanelli Knowledge as a Breaking of Ergodicity Vassiliy Lubchenko, Yang He Letters Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach Hanna Pankka, Jaakko Lehtinen, Risto J. Ilmoniemi, and Timo Roine Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss Shujie Ma, Ke Huang, and Mingming Liu ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From alessio.micheli at unipi.it Thu Apr 3 12:00:48 2025 From: alessio.micheli at unipi.it (Alessio Micheli) Date: Thu, 3 Apr 2025 16:00:48 +0000 Subject: Connectionists: [CfP] 3rd International Workshop on Reservoir Computing (RC 2025) @ ICANN 2025 Message-ID: <1cb995dd6f5d4a98bc753d65c25f2570@unipi.it> Sorry for multiple and cross postings. 3rd International Workshop on Reservoir Computing @ ICANN 2025 Reservoir Computing (RC) denotes a class of recurrent neural models whose dynamics are left unadapted after initialization. The approach is appealing for several reasons, such as fast training, a natural propensity to edge computing and strong theoretical foundations with implications for the basic properties of recurrent neural networks in general. After the success of the last year's edition, the 3rd International Workshop on Reservoir Computing (RC 2025) intends to once again bring back together researchers to update the discussion on the state-of-the-art and the cutting-edge challenges in the field of RC, in all its declinations. Accepted contributions will be published as part of the ICANN 2025 proceedings in the Springer Lecture Notes in Computer Science (LNCS) series, indexed as a peer-reviewed publication in the Web of Science. Follow the instructions to submit your contribution: LINK. Important dates Deadline for full paper and extended abstract submission: 1 May 2025 Notification of acceptance: 1 June 2025 Camera-ready upload: 15 June 2025 Conference dates: 9-12 September 2025 Topics Topics of interest to this workshop include, but are not limited to: * Echo State Networks, Liquid State Machines * Hybrids of fully-trained and RC models * Deep Reservoir Computing * Reservoir Computing for structured data (trees, graphs, networks, ?) * Ensemble learning and Reservoir Computing * Trustworthy AI concepts for Reservoir Computing * Reservoir dimensionality reduction, efficient reservoir hyper-parameter search and learning * Reservoir Computing in Neuroscience * Theoretical analysis of Reservoir Computing * Statistical Learning Theory of Reservoir Computing networks * Reservoir Computing for AI applications (e.g., vision, natural language processing, health, bioinformatics, etc.) Submission instructions Submit your contribution using the instructions provided at https://e-nns.org/icann2025/submission on the conference management system. Select the ?Workshop: Reservoir Computing? track on Microsoft CMT. We follow a double-blind review process. Call for reviewers Please volunteer as a reviewer to help us ensure the quality of the papers presented at this special session. Apply here. Organizers Alessio Micheli, University of Pisa, Italy Gouhei Tanaka, Nagoya Institute of Technology, Japan Domenico Tortorella, University of Pisa, Italy Benjamin Paa?en, Bielefeld University, Germany Claudio Gallicchio, University of Pisa, Italy Xavier Hinaut, INRIA, France Andrea Ceni, University of Pisa, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.micheli at unipi.it Thu Apr 3 12:00:00 2025 From: alessio.micheli at unipi.it (Alessio Micheli) Date: Thu, 3 Apr 2025 16:00:00 +0000 Subject: Connectionists: [CfP] Special session on Neural Networks for Graphs and Beyond (NN4G+) @ ICANN 2025 Message-ID: Sorry for multiple and cross postings. Neural Networks for Graphs and Beyond (NN4G+) @ ICANN 2025 This special session at ICANN 2025 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 2025 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: 1 May 2025 Notification of acceptance: 1 June 2025 Camera-ready upload: 15 June 2025 Conference dates: 9-12 September 2025 Description Graphs play a crucial role in different fields in modeling complex structures composed of entities and their relationships, including dynamic domains where these relationships can evolve over time. Notable examples of graph-based representations and processing can be found in biology, where the structures of molecules and proteins are naturally modeled as graphs; social sciences, where graphs are used to model interactions between individuals or groups; data science, where graphs enhance recommendation systems by tracking user-item interactions; and transportation, where graphs are employed to model the evolution of traffic flow over time. Neural models on graphs enable adaptive solutions for a wide range of learning tasks on graph data, avoiding the need for hand-engineered features or domain-specific knowledge. This capability has driven significant progress in applying machine learning to graph-based problems across various research fields. As a result, the design, optimization, and analysis of these graph-based learning models have become central to cutting-edge research, while also presenting a range of open challenges that continue to shape the field's future directions. 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/icann2025/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. Call for reviewers Please volunteer as a reviewer to help us ensure the quality of the papers presented at this special session. Apply here. Organizers Alessio Micheli, University of Pisa, Italy Benoit Ga?z?re, INSA Rouen Normandie, France Domenico Tortorella, University of Pisa, Italy Filippo Maria Bianchi, UiT the Arctic University of Norway Luca Pasa, University of Padova, Italy Nicol? Navarin, University of Padova, Italy Vincenzo Carletti, University of Salerno, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvador.limalopez at gmail.com Thu Apr 3 11:19:09 2025 From: salvador.limalopez at gmail.com (Salvador Lima) Date: Thu, 3 Apr 2025 17:19:09 +0200 Subject: Connectionists: BioCreative IX CFP at IJCAI 25: Large Language Models for Clinical and Biomedical NLP Message-ID: BioCreative IX Challenge and Workshop CFP Large Language Models for Clinical and Biomedical NLP at IJCAI Where, When: The BioCreative IX workshop will run with IJCAI 2025 , August 16-22, 2025, In Montreal, CA. BioCreative IX: The 9th BioCreative workshop seeks to attract researchers interested in developing and evaluating automatic methods of extracting medically relevant information from clinical data and aims to bring together the medical NLP community and the healthcare researchers and practitioners. The challenge tracks explore MedHopQA, a dataset for benchmarking LLM-based reasoning systems with disease-centered question answers, ToxHabits, a task exploring the information extraction related to substance use and abuse in Spanish clinical content, and Sentence segmentation of real clinical notes using MIMIC-II clinical notes. We also will feature paper submissions on relevant topics and poster/tool demonstrations. Important Dates March - April: Team Registration May 12, 2025: Testing predictions, Evaluation results May 19, 2025: Submission of participants papers deadline Jun 06, 2025: Notification of accepted papers deadline Aug 16- Aug 22 2025: IJCAI 2025 Workshop Proceedings and Special Issue: The BioCreative IX Proceedings will host all the submissions from participating teams, and they will be freely available by the time of the workshop. In addition, select papers will be invited for a journal BioCreative IX special issue for work that passes their peer-review process. More details and information to submit will be posted in June. Participation: Teams can participate in one or more of these tracks. Team registration will continue until April 30th, when final commitment is requested. To register a team go to the Registration Form . If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge at gmail.com. Call for Papers We welcome submissions on work that describes research on similar topics to the three challenges, as well as: - Development of benchmarking datasets for clinical NLP - Creating and evaluating synthetic data using LLMs and its impact for downstream tasks - Creative use of data augmentation for increasing tool accuracy and trustworthiness - Use of LLMs to streamline annotation tasks - NLP-systems capable of identifying entities in multilingual corpora - NLP-systems capable of semantic interoperability across different terminologies/ ontologies for efficient data curation - Integrating ontologies and knowledge bases for factual LLM production - Annotated corpora and other resources for health care and biomedical data modelling All submissions will be considered for poster presentations and tool demonstrations at the workshop. BioCreative IX Tracks: Track 1: MedHopQA Large language models (LLMs) are commonly evaluated on their capabilities to answer questions in various domains, and it has become clear that robust QA datasets are critical to ensure proper evaluation of LLMs prior to their deployment in real-world biomedical or healthcare related applications. This track aims to advance the development of LLM-based systems that are capable of answering questions that involve multi-step reasoning. We have created a resource consisting of 1,000 question-answer pairs ? focusing on diseases, genes and chemicals, mostly pertaining to rare diseases ? based on public information in Wikipedia. The participants are encouraged to use any training data they wish to design and develop their NLP system agents that understand asserted information on genes, diseases, chemicals etc. and are able to answer multi-step reasoning questions involving such information. This track builds on the previous success in biomedical QA benchmarking (e.g., PubMedQA and BioASQ, MedQA) but differs from them in the fact that for MedHopQA it is necessary to employ a multi-step reasoning process to find the correct answer. Track 2: Sentence segmentation of real-life clinical notes Sentence segmentation is a fundamental linguistic task and is widely used as a pre-processing step in many NLP tasks. Although the development of LLMs and the sparse attention mechanism in transformer networks have reduced the necessity of sentence level inputs in some NLP tasks, many models are designed and tested only for shorter sequences. The need for sentence segmentation is particularly pronounced in clinical notes, as most clinical NLP tasks depend on this information for annotation and model training. In this shared task, we challenge participants to detect sentence boundaries (spans) for MIMIC-III clinical notes, where fragmented and incomplete sentences, complex graphemic devices (e.g. abbreviations, and acronyms), and markups are common. To encourage generalizability to multi-domain texts, participants will receive annotated texts from newswire articles and biomedical literature, in addition to clinical notes, for model development and evaluation. Track 3: ToxHabits There is a pressing need to extract information related to substance use and abuse more systematically, including not only smoking and alcohol abuse but also other harmful drugs and substances from clinical content. These toxic habits have a considerable health impact on a variety of medical conditions and also affect the action of prescribed medications. To make such information actionable, it is critical to not only detect instances of consumption, but also to characterize certain aspects related to it, such as duration or mode of administration. Some initial efforts have been made to automatically detect social determinants of health, including smoking status, for content in English, but very limited efforts have been made for content in other languages. Therefore, we propose the ToxHabits track to address the automatic extraction of substance use and abuse information from clinical cases in Spanish. This task will consist of three subtasks: (a) toxic habit mention recognition, (b) detection of relevant clinical modifiers related to substance abuse, as well as (c) toxic habit condition QA challenge. Organizing Committee - Dr. Rezarta Islamaj, National Library of Medicine - Dr. Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center - Dr. Martin Krallinger, Barcelona Supercomputing Center - Dr. Zhiyong Lu, National Library of Medicine -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - NLP for Biomedical Information Analysis, BSC-CNS Barcelona, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Thu Apr 3 23:35:24 2025 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Thu, 3 Apr 2025 23:35:24 -0400 Subject: Connectionists: Postdoctoral positions at Mila in LLMs / Foundation Models - Deadline April 30, 2025 Message-ID: Dear All, At Chandar Lab and Mila, the Quebec AI Institute , we have four open postdoctoral positions on the following topics: *1. Postdoc position on large language models (LLMs)* Topics of interest include but not limited to better pre-training methods, better fine-tuning methods, bias and fairness, interpretability, safety and alignment, continual pre-training. *2. Postdoc position on foundation models for biological data* Topics of interest include but not limited to foundation models (both encoder and decoder models) for proteins, small molecules, and genomics data, multi-modal foundation models for biological data, 3d generative modelling, drug discovery. For this position, we are looking for a candidate with strong ML/LLM/Transformers/Foundation Models background. If you do not have the biological domain background, but are interested in exploring AI for science, this is a perfect position for you. In this position, you will be working closely with our pharmaceutical partners who are experts in biology. *3. Postdoc position on foundation models for time series data* Topics of interest includes but not limited to better sequential architectures, state space models, recurrent neural networks, attention-free architectures, etc. *4. Postdoc position on foundation models for Astrophysics* The topics of interest includes but not limited to recurrent inference machines, Transformers, diffusion models for radio images in Astrophysics . Qualifications: The ideal candidate for these positions * Should have completed (or will soon complete) a PhD with experience in Machine Learning, Deep Learning, Large Language Models, and Foundation Models. * Should have a track record of publishing at top international venues like ICML, ICLR, NeurIPS, ACL, EMNLP, NAACL, etc. * Should be interested in mentoring masters and PhDs on several research projects. * Should have a demonstrated ability to initiate new research projects and have a desire to lead a research team. * Should have experience in pre-training Transformers and LLMs, not just finetuning them. Duties - We expect the selected candidate to lead, publish, and present research projects on the topics of interest, work with and mentor graduate students, and participate in and lead grant applications. *Recommendation Letters *- We will ask for names of 2 recommenders only for candidates who are selected for an interview. So please talk to your recommenders and have the letters ready when we contact them. *Application timeline* - Applications are open until at least *April 30, 2025*. For inquiries please email Sarath Chandar: sarath.chandar at mila.quebec and include "[postdoc ad]" in the email title. *Where to apply?* - If you are interested in any of these positions, please apply here before 30th April, 2025. Regards, Sarath Chandar -- Sarath Chandar Canada CIFAR AI chair, Mila Canada Research Chair in Lifelong Machine Learning Associate professor, Dept. of Computer and Software Engineering Polytechnique Montr?al https://chandar-lab.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlas at fi.upm.es Thu Apr 3 12:37:56 2025 From: mlas at fi.upm.es (mlas at fi.upm.es) Date: Thu, 3 Apr 2025 18:37:56 +0200 (CEST) Subject: Connectionists: XVII Madrid UPM Machine Learning and Advanced Statistics Summer School (June 16th - June 27th, 2025) - Early registration reminder Message-ID: <824009085.0.1743698276961.JavaMail.bmihaljevic@lenovo> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 16th to June 27th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: https://www.dia.fi.upm.es/MLAS There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whomever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Laura Gonzalez Veiga. -- School coordinators. *** List of courses and brief description *** # Week 1 (June 16th - June 20th, 2025) ## 1st session: 9:45-12:45 ### Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. ### Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. ## 2nd session: 13:45-16:45 ### Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python. ### Course 4: Reinforcement learning (15 h) Introduction. Dynamic programming methods. Temporal-difference learning. Policy gradient methods. Causal reinforcement learning. Practical demonstration: R. ## 3rd session: 17:00 - 20:00 ### Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers. ### Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. # Week 2 (June 23rd - June 27th, 2025) ## 1st session: 9:45-12:45 ### Course 7: Causality (15 h) Introduction. Causal graphs. Mediation analysis. Sensitivity analysis to unmeasured confounding. Counterfactual reasoning. Practical sessions: R. ### Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. ## 2nd session: 13:45-16:45 ### Course 9: Gaussian Processes and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch. ### Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. ## 3rd session: 17:00-20:00 ### Course 11: Generative AI (15 h) Introduction to the course. Neural networks and deep learning. Generative AI for images. Generative AI for language. Hands-on session: Pytorch, VAEs, GANs, diffusion models, LLMs, aligning a generative LLM, using an open-source image generation model. ### Course 12: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Hands-on sessions: R and python. From bpaassen at techfak.uni-bielefeld.de Fri Apr 4 03:33:19 2025 From: bpaassen at techfak.uni-bielefeld.de (Benjamin Paassen) Date: Fri, 4 Apr 2025 09:33:19 +0200 Subject: Connectionists: =?utf-8?q?2nd_CfP=3A_KI_2025=3A_German_AI_Confere?= =?utf-8?q?nce=2C_16=E2=80=9319_September=2C_Potsdam_=28Germany=29?= Message-ID: <42cb6a48-63c5-4798-9a6a-95a8a9788653@techfak.uni-bielefeld.de> ================================= Call for Contributions KI 2025 Potsdam, September 16-19, 2025 ================================= On September 16-19, 2025, the German AI conference KI2025 will take place. We cordially invite you to join! In 2025, KI and INFORMATIK will be co-located, so that we can exchange with computer science society. To make KI2025 a resounding success, we call for your papers and doctoral consortium contributions. The deadlines are: 18.04.25 Abstract Submission 25.04.25 Full Paper Submission 16.05.25 Doctoral Consortium Submission For more detailed info on each call, please refer to: Call for Papers (Long, Short, Extended Abstracts): Call for Doctoral Consortium Contributions: Submissions are possible via EasyChair: We are very much looking forward to your contributions and the scientific exchange! Last, but not least, we would like to announce our excellent keynote speakers for KI2025: Louisa Specht-Riemenschneider, Federal Data Protection Officer, Germany Rineke Verbrugge, U Groningen, Netherlands Barbara Hammer, U Bielefeld, Germany Check out also for the KI workshop and tutorial program: Best regards Program Chairs Tanya Braun (Uni M?nster) Benjamin Paa?en (Uni Bielefeld) Frieder Stolzenburg (HS Harz) Tutorial/Workshop Chairs Magda Gregorova (TH W?rzburg-Schweinfurt) Philipp V?th (TH W?rzburg-Schweinfurt) Tamara Bergerhoff (TH W?rzburg-Schweinfurt) Doctoral Consortium Chair Gesina Schwalbe (Uni L?beck) -- Jun. Prof. Benjamin Paa?en Knowledge Representation and Machine Learning Faculty of Technology Bielefeld University preferred pronouns: they/them Office: CITEC 1.220 Inspiration 1 33619 Bielefeld Germany Tel: +49 521 106 87838 e-mail: bpaassen at techfak.uni-bielefeld.de website: bpaassen.gitlab.io From jiangdm at nwpu.edu.cn Fri Apr 4 03:54:01 2025 From: jiangdm at nwpu.edu.cn (=?UTF-8?Q?=E8=92=8B=E5=86=AC=E6=A2=85=28quit=29?=) Date: Fri, 4 Apr 2025 15:54:01 +0800 (GMT+08:00) Subject: Connectionists: 2025 13th International Conference on Affective Computing and Intelligent Interaction (ACII 2025): Call for Papers Message-ID: <4c5266a5.26f49.195ffcae3d9.Coremail.jiangdm@nwpu.edu.cn> Call for Papers The Association for the Advancement of Affective Computing (AAAC) invites you to submit your original research for presentation at the 13th International Conference on Affective Computing and Intelligent Interaction (ACII), which will be held as an in-person event in Canberra, Australia, 8-11 October 2025. Accepted papers must be presented by one of the paper?s authors. ACII 2025 will be held just before the ACM International Conference on Multimodal Interaction (ICMI 2025, 13-17 Oct 2025) at the same venue, thus, enabling the attendees to combine two excellent conferences in one trip. The ACII conference series is the premier international venue for interdisciplinary research on the design of systems that can recognise, interpret, and simulate human emotions and, more generally, affective phenomena. All accepted papers will be included in IEEE Xplore (subject to approval by the IEEE Computer Society) and indexed by EI. A selection of the best articles at ACII 2025 will be invited to submit extended versions to the IEEE Transactions on Affective Computing. The theme for ACII 2025 is Socially Responsible Affective Computing. Affective computing, with its ability to recognise and respond to human emotions, holds great potential for enhancing user experiences and fostering more natural interactions between humans and machines. It also has promising applications in fields such as mental health, where this technology can assist psychologists and other clinicians in making more accurate diagnoses by detecting mental states. However, this powerful technology also raises significant ethical concerns that must be addressed to ensure its responsible and transparent use. One of the primary challenges is the potential misuse or exploitation of sensitive emotional data, including for manipulative or discriminatory purposes. Ensuring robust data privacy, clear ethical guidelines, and regulations around the use of emotional data is crucial. Additionally, the lack of transparency of many affective computing algorithms, systems build on limited data, and the potential for biases in emotion inference systems pose risks of perpetuating harmful stereotypes or inaccurate assessments based on factors such as gender, race, or cultural background. Transparency, accountability, and mitigating biases in these systems are essential to build trust with users. Recognising these concerns, regulatory efforts such as the EU AI Act aim to establish legal frameworks and stringent requirements for high-risk AI applications, including those related to emotional state detection, ultimately safeguarding individual rights and upholding ethical principles in the development and deployment of affective computing technologies. A stronger focus needs to be placed on these matters by the affective computing research community. The ACII 2025 (8-11 Oct 2025) and ICMI 2025 (13-17 Oct 2025) conferences will be held in back-to-back mode at the same venue in Canberra, Australia ? one trip, two great conferences! Topics of interest include, but are not limited to: Recognition and Synthesis of Human Affect from ALL Modalities Multimodal Modeling of Cognitive and Affective States Contextualized Modeling of Cognitive and Affective States Facial and Body Gesture Recognition, Modeling and Animation Affective Speech Analysis, Recognition and Synthesis Recognition and Synthesis of Auditory Affect Bursts (Laughter, Cries, etc.) Motion Capture for Affect Recognition Affect Recognition from Alternative Modalities (Physiology, Brain Waves, etc.) Affective Text Processing and Sentiment Analysis Multimodal Data Fusion for Affect Recognition Synthesis of Multimodal Affective Behaviour Summarisation of Affective Behaviour Affective Science using Affective Computing Tools Studies of affective behavior perception using computational tools Studies of affective behavior production using computational tools Studies of affect in medical/clinical settings using computational tools Studies of affect in context using computational tools Psychology & Cognition of Affect in Designing Computational Systems Computational Models of Affective Processes Issues in Psychology & Cognition of Affect in Affective Computing Systems Cultural Differences in Affective Design and Interaction Affective Interfaces Interfaces for Monitoring and Improving Mental and Physical Well-Being Design of Affective Loop and Affective Dialogue Systems Human-Centred Human-Behaviour-Adaptive Interfaces Interfaces for Attentive & Intelligent Environments Mobile, Tangible and Virtual/Augmented Multimodal Proactive Interfaces Distributed/Collaborative Multimodal Proactive Interfaces Tools and System Design Issues for Building Affective and Proactive Interfaces Evaluation of Affective, Behavioural, and Proactive Interfaces Affective, Social and Inclusive Robotics and Virtual Agents Artificial Agents for Supporting Mental and Physical Well-Being Emotion in Robot and Virtual Agent Cognition and Action Embodied Emotion Biologically-Inspired Architectures for Affective and Social Robotics Developmental and Evolutionary Models for Affective and Social Robotics Models of Emotion for Embodied Conversational Agents Personality in Embodied Conversational Agents Memory, Reasoning, and Learning in Affective Conversational Agents Affect and Group Emotions Analyzing and modeling groups taking into account emergent states and/or emotions Integration of artificial agents (robots, virtual characters) in the group life by leveraging its affective loop: interaction paradigms, strategies, modalities, adaptation Collaborative affective interfaces (e.g., for inclusion, for education, for games and entertainment) Open Resources for Affective Computing Shared Datasets for Affective Computing Benchmarks for Affective Computing Open-source Software/Tools for Affective Computing Fairness, Accountability, Privacy, Transparency and Ethics in Affective Computing Bias, imbalance and inequalities in data and modeling approaches in the context of Affective Computing Bias mitigation in the context of Affective Computing Explainability and Transparency in the context of Affective Computing Privacy-preserving affect sensing and modeling Ethical aspects in the context of Affective Computing Applications Health and well-being Education Entertainment Consumer Products User Experience Important Dates The time zone for the deadlines below is Anywhere on Earth (AOE). Main Track Main track full paper submission deadline: 9 April 2025 (Extended) Rebuttal period: 31 May ? 4 June 2025 Paper notification for the main track: 19 June 2025 Camera-ready paper submission deadline: 19 July 2025 Main conference: 8 ? 10 Oct 2025 Workshops and tutorials, and DC: 11 Oct 2025 *********************************** Dongmei Jiang Professor, School of Computer Science, Northwestern Polytechnical University Xi'an China. Email: jiangdm at nwpu.edu.cn *********************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Fri Apr 4 03:36:27 2025 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Fri, 4 Apr 2025 09:36:27 +0200 Subject: Connectionists: Call for papers - DSAA'25 - SS - Collaborative AI: Advancing Federated Learning Across Disciplines Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * DSAA 2025 SPECIAL SESSION ?Collaborative AI: Advancing Federated Learning Across Disciplines? 09 - 13 October 2025, Birmingham, UK https://dsaa.ieee.org/2025 ABSTRACT This special session explores federated machine learning in increasingly complex distributed environments. As data becomes distributed among numerous users and cannot be centrally collected due to privacy constraints, new challenges emerge. These include learning in heterogeneous systems, effective communication for model updates, and representation of distributed models. We focus on federated learning variants, model compression, adaptive aggregation techniques, and privacy preservation approaches including differential privacy. The session encourages research on deep learning applications in federated contexts, particularly in IoT, recommendation systems, medicine, automotive, sensor networks, and text processing, with emphasis on balancing privacy, efficiency, and performance. AIMS AND SCOPE We particularly welcome submissions that bridge research communities and foster interdisciplinary collaboration. Our special session seeks papers presenting novel methods at the intersection of federated learning, distributed intelligence, computational intelligence, and machine learning that promote dialogue across traditional research boundaries. Topics include but are not limited to: ? Learning in heterogeneous and distributed systems ? Effective communication protocols for model updates in federated environments ? Model compression and adaptive model aggregation techniques ? Representation learning and distributed model architectures ? Approximation methods for distributed data analysis ? Federated learning algorithms and variants (Split learning, Gossip Learning, decentralized approaches) ? Shapley value attribution and Shapley interactions for model interpretation in federated settings ? Multi-modality and multi-view approaches in federated learning ? Security and privacy preservation in federated environments ? Differential privacy techniques for federated systems ? Applications of deep learning in federated contexts ? Resource-efficient federated learning for constrained environments ? Data analysis and pattern recognition approaches for non-stationary and distributed environments Deadline: 02.05.2025 (everywhere on earth) Submission via: https://openreview.net/group?id=IEEE.org/DSAA/2025/Special_Sessions SPECIAL SESSION ORGANIZERS Frank-Michael Schleif, Technical UAS Wuerzburg-Schweinfurt, Germany Mirko Polato, Universit? di Torino, Italy Barbara Hammer, University of Bielefeld, Germany Manuel R?der, Technical UAS Wuerzburg-Schweinfurt, Germany -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From matteo.zavatteri at unipd.it Fri Apr 4 05:16:49 2025 From: matteo.zavatteri at unipd.it (Matteo Zavatteri) Date: Fri, 4 Apr 2025 11:16:49 +0200 Subject: Connectionists: [JAIR Special Track - 5th CFP] Integration of Logical Constraints in Deep Learning Message-ID: (apologies for cross-posting) ====================================================================== Special Track on Integration of Logical Constraints in Deep Learning ---------------------------------------------------------------------- Journal of Artificial Intelligence Research (JAIR) Deadline: May 31, 2025 Info: https://www.jair.org/index.php/jair/SpecialTrack-LogicDL ====================================================================== Track Editors: ---------------------------------------------------------------------- Alessandro Abate, University of Oxford, U.K. Eleonora Giunchiglia, Imperial College London, U.K. Bettina K?nighofer, Graz University of Technology, Austria Luca Pasa, University of Padova, Italy Matteo Zavatteri, University of Padova, Italy ====================================================================== Overview: Over the last few years, the integration of logical constraints in Deep Learning models has gained significant attention from research communities for its potential to enhance the interpretability, robustness, safety, and generalization capabilities of these models. This integration opens the possibility of incorporating prior knowledge, handling incomplete data, and combining symbolic and subsymbolic reasoning. Moreover, the use of logical constraints improves generalization, formal verification, and ethical decision-making. The versatility of logical constraint integration spans diverse domains, presenting both research challenges and opportunities. In recent times, there has been a growing trend in incorporating logical constraints into deep learning models, especially in safety-critical applications. Looking ahead, challenges in this field extend to the development of Machine Learning models that not only incorporate logical constraints but also provide robust assurances. This involves ensuring that AI systems adhere to specific (temporal) logical or ethical constraints, offering a level of guarantees in their behavior. Thus, this special track seeks submissions on the integration of logical constraints into deep learning approaches. We are particularly interested in the following broad content areas. - Formal verification of neural networks is an active area of research that has been proposing methods, tools, specification languages (e.g., VNNLIB), and annual competitions (e.g., VNN-COMP) devoted to verify that a neural network satisfies a certain property typically given in (a fragment) of first order logic. - Synthesis aims at synthesizing neural networks that are compliant with some given constraint. Approaches to achieve this aim range from modifying the loss function in the training phase (i.e., soft constraint injection) to exploit counterexample guided inductive synthesis (CEGIS). - Monitoring: Logical constraints can be used to mitigate and/or neutralize constraint violations of machine learning systems when formal verification and synthesis are not possible. Shielding techniques intervene by changing the output of the network when a constraint is being violated. Runtime monitoring can be used to anticipate failures of AI systems without modifying them. - Explainability: Automated learning of formulae and logical constraints from past executions of the system provides natural explanations for neural network predictions and poses another avenue for future research. Formulae and constraints offer a high degree of explainability since they carry a precise syntax and semantics, and thus they can be "read" by humans more easily than other explainability methods. This special track aims to explore and showcase recent advancements in the integration of logical constraints within deep learning models, spanning the spectrum of verification, synthesis, monitoring and explainability, by considering exact and approximate solutions, online and offline approaches. The focus will also extend to encompass innovative approaches that address the challenges associated with handling logical constraints in neural networks. Submissions: This special track seeks contributions that delve into various aspects of logic constraint integration in deep learning, including, but not limited to: - Learning with logical constraints - Enhancing neural network expressiveness for logical constraints - Formal verification (certification) of neural networks - Automated synthesis of certified neural networks, or of AI systems with neural nets - Decision making: Strategy/policy synthesis for AI systems with neural networks - Runtime monitoring of AI systems - Learning of (temporal) logic formulae for explainable and interpretable AI - Scalability challenges in neural networks with logical constraints - Real-world applications of neural networks with logical constraints - Enhancing model explainability via logical constraints - Design of neural networks under temporal logical requirements Pertinent review papers of exceptional quality may also be considered. From Rudi.Villing at mu.ie Fri Apr 4 10:18:37 2025 From: Rudi.Villing at mu.ie (Rudi Villing) Date: Fri, 4 Apr 2025 14:18:37 +0000 Subject: Connectionists: RoboCup International Symposium 2025 second call for papers - final extended deadline In-Reply-To: References: Message-ID: In response to requests we have extended the submission deadline to 21 April 2025. This is the final deadline. Call for papers RoboCup International Symposium 2025 https://2025.robocup.org/symposium/ Monday 21 July 2025 Salvador, Bahia, Brazil. The 28th RoboCup International Symposium will be held on 21 July 2025, in conjunction with RoboCup 2025 (15 July to 20 July 2024), in Salvador, Bahia, Brazil. We call for submissions of papers reporting innovative, original research with relevance to areas of robotics and artificial intelligence as listed below. Within the described scope of topics, we also encourage submissions of high-quality overview articles, papers describing real-world research, and papers reporting theoretical results. Researchers are invited to submit their work independently of whether they participate in the RoboCup competitions or have a RoboCup team. The symposium will be held in person at the Salvador Convention Center (CCS), Av. Oct?vio Mangabeira, 5.490 Boca do Rio - Salvador - Bahia - Brazil. In addition to the regular track with regular research papers, there is the development track encouraging reports on innovative hardware developments, software frameworks, and open-source releases of software components. A review of papers describing these contributions will be based on technical aspects and benefits to the practice of communities working in the above fields in general and RoboCup in particular. IMPORTANT DATES Submission of full papers: 21 April 2025 (final extended deadline) Notification to authors: 30 May 2025 Submission of camera-ready copies: 13 June 2025 RoboCup Symposium 2025: 21 July 2025 (RoboCup on 15-20 July 2025) SUBMISSION AND PROCEEDINGS All papers will be peer-reviewed and evaluated by members of the senior program committee. The proceedings of the RoboCup International Symposium will be published and archived within the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series by Springer-Verlag after the conference. Papers should be formatted following the LNAI author guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and must be electronically submitted through Springer?s Meteor electronic-submission system. To submit a paper, please visit https://meteor.springer.com/robocup2025, and follow the instructions to register (if you have not previously registered with Meteor), or login. Submissions are limited to 12 pages including references. The LNAI author guidelines site contains a Springer?s proceedings LaTeX template (v2.24), and a link to the template in Overleaf: (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WuA4JS5uZpi) TOPICS Topics of interest include, but are not limited to: * Robot Hardware and Software - mobile robotics - humanoid robotics - sensors and actuators - embedded and mobile devices - robot construction and new materials - robot system integration - robot software architectures - robot programming environments and languages - real-time and concurrent programming - robot simulators - sim2real learning * Perception and Action - 3D perception - distributed sensor integration - sensor noise filtering - real-time image processing and pattern recognition - motion and sensor models - sensory-motor control - robot kinematics and dynamics - high-dimensional motion control * Robot Cognition and Learning - world modelling and knowledge representation - learning from demonstration and imitation - localisation, navigation, and mapping - planning and reasoning - decision making under uncertainty - neural systems and deep learning - complex motor skill acquisition - reinforcement learning and optimisation - motion and sensor model learning * Human-Robot Interaction - robot social intelligence - fluency of interaction - speech synthesis and natural language generation - natural language recognition - explainable robot behaviours - emotion recognition and reaction - understanding human intent and behaviour - safety, security and dependability - enabling humans to predict robot behaviour * Multi-Robot Systems - team coordination methods - communication protocols - learning and adaptive systems - teamwork and heterogeneous agents - dynamic resource allocation - adjustable autonomy * Education and Edutainment - robotics and artificial intelligence education - educational robotics - robot kits and programming tools - robotic entertainment * Applications and Benchmarking - search and rescue robots - robot surveillance - service and social robots - robots at home, at work and in public spaces - robots in the real world - performance metrics - human-robot interaction DEVELOPMENT TRACK To encourage open-source release of hardware and software systems, the RoboCup International Symposium has included a development track in recent years. In 2025, the scope of this track includes datasets and benchmarks. We encourage the submission of papers describing open-source hardware and software, tools and frameworks that facilitate development of robotics hardware and software, datasets that enable new robotic capabilities, as well as benchmarks that establish reproducible test beds and performance metrics to advance research. If applicable, contributions to the special track should include evidence of the released system or dataset, and highlight past, ongoing, and/or potential future impacts on the RoboCup community. A review of these contributions will be based on technical merit and benefits to the RoboCup community, and the research topics listed above. PROGRAM CO-CHAIRS Ana Patr?cia Fontes Magalh?es Mascarenhas (UNEB, Brazil) Alexander Ferrein (FH Aachen University of Applied Sciences, Germany) Rudi Villing (Maynooth University, Ireland) LOCAL ORGANIZERS Marco Ant?nio Costa Sim?es (UNEB, Brazil) Reinaldo Bianchi (Centro Universit?rio FEI, Brazil) CONTACT You can contact via the PC chairs via the Meteor website VISA INFORMATION If you are a citizen of a country that needs a Visa for traveling to the Brazil, please start the VISA process as soon as possible. If you are not sure if you are eligible for a VISA-exemption, please consult the official website of the Brazilian government for information, at https://www.gov.br/mre/pt-br/assuntos/portal-consular/vistos/informacoes-sobre-vistos-para-estrangeiros-viajarem-ao-brasil (Information is in English below each paragraph in Portuguese). -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unipa.it Fri Apr 4 18:21:59 2025 From: fabio.bellavia at unipa.it (Fabio Bellavia) Date: Sat, 5 Apr 2025 00:21:59 +0200 Subject: Connectionists: Image Matching Challenge 2025 is now open! Message-ID: *IMC 2025 @ Kaggle is out*! https://www.kaggle.com/competitions/image-matching-challenge-2025 As previous years, the *Image Matching Workshop*:Local Features & Beyond promotes the *Image Matching Challenge*, an open contest about local feature matching, in collaboration with Kaggle. The ultimate goal is to understand the performances and limitations of well-established and emerging algorithms in real-world scenarios, their failure modes, and how to address them, and to find out problems that arise in practical settings but are sometimes ignored by academia. We believe that this effort provides a valuable feedback loop to the computer vision community. In addition to complex scenarios with temporal changes, this year we added a further challenge: each dataset contains multiple scenes and distractor images, and you need to figure out what belongs together in addition to solving the 3D reconstruction problem. *Timeline* - April 1, 2025 - Start Date. - May 26, 2025 - You must accept the competition rules before this date in order to compete. - May 26, 2025 - This is the last day participants may join or merge teams. - June 2, 2025 - Final Submission Deadline. *Prizes* - 1st Place - $12K - 2nd Place - $10K - 3rd Place - $10K - 4th Place - $10K - 5th Place - $8K The teams with the most original and effective solutions will be invited to have a talk at the IMW workshop at CVPR2025 (https://image-matching-workshop.github.io/). *What are you waiting for* ?!? *Be brave, tame the data and prove yourself* !!! The IMW/IMC organizers From francesca.naretto at sns.it Fri Apr 4 13:49:29 2025 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Fri, 4 Apr 2025 19:49:29 +0200 Subject: Connectionists: [CFP] - IAIL 2025 - Deadline Extended Message-ID: ************************************************************************************************ CFP - Deadline extended! 18 April 2025 ************************************************************************************************ IAIL 2025 - The Fourth Workshop on IMAGINING THE AI LANDSCAPE AFTER THE AI ACT: Bridging the AI Act and the Digital Services Act http://iail2025.isti.cnr.it/ OVERVIEW OF THE WORKSHOP The regulation of Artificial Intelligence is at an important stage, with the European Union taking the lead through key legislative frameworks such as the AI Act (AIA) and the Digital Services Act (DSA). These regulations aim to create a safer and more accountable digital environment while safeguarding fundamental rights. However, while the European Union has outlined a clear direction in terms of regulation, their practical implementation remains an open challenge. In particular, the interaction between these two frameworks requires closer examination to understand how they address the risks AI poses to fundamental rights, such as privacy, non-discrimination, and freedom of expression. The primary objective of this workshop is to provide the community with a deeper understanding of the AIA and DSA, their implications for AI development and deployment, and their alignment with human rights principles. Through dedicated discussion sessions and keynote speakers, we aim to critically analyze what these regulations achieve and the new challenges they pose from an implementation perspective. A key focus of the workshop will be to explore how these regulations can be made operational, identifying the tools and technologies required to support their implementation and defining the objectives these tools should address. Submitted applications can include regular papers, short papers, working papers and/or extended abstracts. LOCATION This will be an in-person, single-track workshop, as part of the HHAI 2025 conference held in Pisa, Italy, on June 9, at University of Pisa (Sapienza). PUBLICATION OPPORTUNITIES Accepted regular papers will be published on CEUR Workshop Proceedings . SUBMISSION DETAILS Type of contributions of interest: we encourage authors to submit both research papers and position papers. Research papers present completed and validated research, whereas position papers present an arguable opinion about one of the workshop topics of interest. Both types of contribution can be of regular (12+ pages) or short length (5-11 pages) and should be original, previously unpublished work. We also encourage authors to submit extended abstracts that present a very early stage of research or previously published work. This latter type of contributions will not be published in the proceedings. Online submission: Electronic submissions will be handled via Easychair: https://easychair.org/conferences?conf=iail2025 Review format: All submitted papers will be peer reviewed using double-blind peer review. We accept both LaTeX and Word files formatted according to these guidelines. You can find the latex template at the page: https://www.overleaf.com/read/gwhxnqcghhdt Anonymization: Please ensure that your submission is double blind. Papers that violate the anonymization policy will be desk rejected. Archives: Papers will be published as workshop proceedings on CEUR Workshop Proceedings . The papers must be written in English. At least 1 author of the accepted papers should attend the conference in person. TOPICS OF INTEREST Topics of interest include, but are not limited to: ? The AI Act and the Digital Services Act ? Applications of AI in the legal domain ? The operationalization of law requirements in AI systems ? Ethical and legal issues of AI technology and its application ? Ethical and legal issues in Online Social Media ? AI and trustworthiness ? Accountability and Liability of AI ? Algorithmic bias, discrimination, and inequality ? Safety, reliance and trust in human-AI interactions ? Transparent AI, Explainability metrics and evaluation ? AI and individual rights ? AI and fundamental rights ? AI risk assessment ? The impact of AI and automatic decision-making on rule of law ? AI, democracy, and freedom of expression ? Federated learning ? Generative AI Manuscripts must be submitted as PDF files via EasyChair: https://easychair.org/conferences?conf=iail2025 IMPORTANT DATES ? Paper Submission: April 6, 2025 April 18, 2025 ? Acceptance Notification: May 4, 2025 ? Camera-ready submission: June 1, 2025 ? Workshop: June 9, 2025 All deadlines are at the end of the day specified, anywhere on Earth (UTC-12). Special inquiry can be directed to Francesca Pratesi sending an email with tag [IAIL2025] to francesca [dot] pratesi [at] isti [dot] cnr [dot] it ORGANIZERS This workshop is organized by Francesca Pratesi (ISTI - CNR), Francesca Naretto (Unipi), Lorenzo Mannocci (Unipi), and Roberta Savella (ISTI - CNR). We look forward to seeing you in Pisa on 9 June 2025. -- Francesca Naretto Ph.D. student in Data Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From newsletters at tommasoturchi.fyi Sun Apr 6 03:08:23 2025 From: newsletters at tommasoturchi.fyi (Tommaso Turchi) Date: Sun, 06 Apr 2025 09:08:23 +0200 Subject: Connectionists: CfP: SYNERGY 2025 - Workshop on Designing and Building Hybrid Human-AI Systems (HHAI 2025) - DEADLINE EXTENDED Message-ID: *[Apologies for cross-posting]* Please share widely with interested colleagues and networks! SYNERGY 2025: Workshop on Designing and Building Hybrid Human-AI Systems Co-located with HHAI 2025 (Hybrid Human-AI Intelligence Conference) June 9, 2025 - Pisa, Italy https://synergy.trx.li/ Important Dates: - Submission Deadline: EXTENDED to April 21, 2025 (AoE) - Notification: May 2, 2025 - Camera Ready: May 16, 2025 ABOUT ------ In 1960, Joseph Licklider envisioned "Man-Computer Symbiosis" where computation would augment human intellect. Today, as AI systems work alongside people in tasks from visual analytics to code generation, we are learning to design truly synergistic systems where humans and AI work flexibly together, leveraging their complementary abilities. Following our successful first edition at AVI 2024 (https://synergy.trx.li/2024/), this workshop brings together researchers exploring the design, implementation, and evaluation of meaningful human-AI collaboration systems. The workshop will include consortium partners from the new ?10M EU project TANGO "It takes two to tango: a synergistic approach to human-machine decision making". TOPICS ------- We invite submissions in four key areas: - Interactive Decision-Making Systems: Real-time collaboration mechanisms, task allocation protocols, and approaches for handling uncertainty - Adaptive Collaboration Frameworks: Dynamic systems that adjust to cognitive load and learn from human intervention - Evaluation Methods: Novel approaches to measuring effectiveness of human-AI partnerships - Implementation Architecture: Practical solutions and patterns for building collaborative systems We particularly welcome submissions presenting concrete mechanisms, empirical evaluations, novel interaction patterns, and practical implementation challenges. All submissions should demonstrate: - Integration of both AI capabilities and human interaction aspects - Consideration of practical design and implementation implications - Clear connection to human-AI collaboration, even in theoretical or policy-focused work SUBMISSION ---------- - Minimum 5 pages, CEUR-WS single column format - Submit via Microsoft CMT: https://cmt3.research.microsoft.com/SYNERGY2025 - Selected papers will be invited for submission to a Special Issue on Hybrid Human-AI Systems in a leading journal ORGANIZERS ---------- - Tommaso Turchi, University of Pisa, Italy - Alan Dix, Swansea University & Cardiff Metropolitan University, UK - Matt Roach, Swansea University, UK - Alessio Malizia, University of Pisa, Italy - Ben Wilson, Swansea University, UK For more information: Website: https://synergy.trx.li/ Contact: tommaso.turchi at unipi.it This workshop is supported by the HORIZON Europe project TANGO - Grant Agreement n. 101120763. From anna.montagnini at univ-amu.fr Sat Apr 5 09:34:55 2025 From: anna.montagnini at univ-amu.fr (Anna MONTAGNINI) Date: Sat, 5 Apr 2025 15:34:55 +0200 Subject: Connectionists: PhD opening on perceptual multistability and inference modeling at Aix-Marseille University, France Message-ID: <2ccdabda-9681-47d1-bd32-91a53082ebb1@univ-amu.fr> Thank you for sharing this job opening: PhD Position opening: /MInDSwitches: Multistable Inference and Decision Switches/ A fully funded 3-years PhD position (EU MSCA-COFUND program) is available at Aix-Marseille University (France) for motivated students* interested in the behavioral, neurophysiological and computational investigation of multistable visual perception in healthy and pathological populations. The project is strongly cross-disciplinary, including psychophysical and oculomotor experiments as well as advanced computational modeling. It will also involve an international mobility at the University of Edinburgh (UK), as well as a collaboration with the psychiatry department of Lille Hospital (France). More detailed information is available on the official website https://schadoc.univ-amu.fr/en/call-candidates/health-well-being/MInDSwitches /The deadline for the application is April 21st, 2025. / Interested candidates should contact the project?s co-Pis as soon as possible: Anna Montagnini (anna.montagnini at univ-amu.fr) and Sophie Deneve (sophie.deneve at univ-amu.fr) *To be eligible, the candidates have to undergo an international mobility, namely they must not have spent more than 12 months in Franceduring the last 3 years -- Anna Montagnini, PhD Institut de Neurosciences de la Timone (INT,UMR7289) 27 Bd Jean Moulin, 13005 Marseille, FRANCE Tel: +33 (0)4 91 32 40 43 anna.montagnini at univ-amu.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From fm.zennaro at gmail.com Sun Apr 6 03:01:58 2025 From: fm.zennaro at gmail.com (Fabio Massimo Zennaro) Date: Sun, 6 Apr 2025 09:01:58 +0200 Subject: Connectionists: [CFP] UAI 2025 Workshop on Causal Abstractions and Representations Message-ID: ? Call for Papers ? CAR Workshop @ UAI 2025 - Rio de Janeiro, Brazil ?? ?? Are you pushing the boundaries of causal abstractions, causal representation learning, or clustered causal graphs? Share your insights at CAR 2025! We welcome any contributions on ongoing research at the interface of causal abstractions, causal representations learning, multi-scale causal systems, including but not limited to: - Causal Abstraction - Cluster and Multivariate DAGs - Causal Representation Learning In particular, we invite works that define novel frameworks, tasks, methodologies, and real-world applications, to name a few. Further, we welcome position papers on related arguments, such as critical perspectives on the pragmatic usability of causal abstraction and representational learning, connections between causal abstraction and representational learning and multivariate causal inference, development of benchmarks and evaluation metrics. Why Submit? - Present your work to experts in causality & AI - Get valuable feedback on work-in-progress - Accepted papers will be presented as posters, with some selected for contributed talks. Important Dates - Submission Deadline: May 26, 2025 (AoE) - Acceptance Notification: June 18, 2025 - Workshop Date: July 25, 2025 ? Learn more & submit: https://sites.google.com/view/car-25/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Apr 6 06:57:16 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 6 Apr 2025 13:57:16 +0300 Subject: Connectionists: Worldwide VVTNS series: Carl van Vreeswijk Memorial Lecture | Wednesday, April 9, 2025, at 11:00 am EDT| James DiCarlo, MIT In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the first *'Carl van Vreeswijk Memorial Lecture ' * James DiCarlo MIT on the topic of Do contemporary, machine-executable models of primate sensory systems unlock the ability to non-invasively, beneficially modulate high-level brain states? The lecture will be held on Zoom on April 9, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Over the past decade, neuroscience, cognitive science and computer science (?AI?) converged to create specific, image-computable, deep neural network models intended to appropriately abstract, emulate and explain the mechanisms of primate ventral visual processing, up to its deepest neural level, the inferior temporal cortex (IT). Because these leading neuroscientific emulation models ? aka ?digital twins? ? are fully observable and machine-executable, they offer predictive and potential application power that our field?s prior conceptual models did not. Our team?s ongoing work is aimed at asking if current digital twin models might support non-invasive, beneficial brain modulation. In this talk, I will describe a key result: we demonstrate that we can use a digital twin to design spatial patterns of light energy that, when ?added? to the organism?s retinal input in the context of ongoing natural visual processing, results in precise modulation (i.e. rate bias) of the pattern of a population of IT neurons (where any intended modulation pattern is chosen ahead of time by the scientist). Because the IT visual neural populations are known to directly connect to and modulate downstream neural circuits (e.g. amygdala) that may underlie psychological affective states (e.g. mood and anxiety), this novel basic science may unlock a new, non-invasive application avenue of potential future human clinical benefit. This progress and new impact possibilities resulted from convergent brain science and AI engineering efforts in the domain of visual object intelligence. I will motivate this as just one example of what I believe will unlock in other domains of human intelligence as brain scientists and AI engineers collaborate to develop machine-executable models of the underlying mechanisms of those still-mysterious domains. *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... 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Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From announce at ucy.ac.cy Mon Apr 7 03:15:41 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 7 Apr 2025 07:15:41 +0000 Subject: Connectionists: The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025): Third Call for Papers Message-ID: <1YTRAV4-UL4W-3NMP-2GTI-DXVUYB4K3K3K@ucy.ac.cy> *** Third Call for Papers *** The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025) November 13-14, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/ickg2025/ (*** Proceedings to be published by IEEE ***) (*** please note the change of conference and important dates! ***) The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier international forum for presentation of original research results in knowledge discovery and graph learning, discussion of opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of knowledge discovery from data, with a strong focus on graph learning and knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw researchers and application developers from a wide range of areas such as knowledge engineering, representation learning, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to address challenges in handling all aspects of learning from data with dependency relationship. All accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student Paper Runner up, will be conferred at the conference, with a check and a certificate for each award. The conference also features a survey track to accept survey papers reviewing recent studies in all aspects of knowledge discovery and graph learning. At least five high quality papers will be invited for a special issue of the Knowledge and Information Systems Journal, in an expanded and revised form. In addition, at least eight quality papers will be invited for a special issue of Data Intelligence Journal in an expanded and revised form with at least 30% difference. TOPICS OF INTEREST Topics of interest include, but are not limited to: ? Foundations, algorithms, models, and theory of knowledge discovery and graph learning ? Knowledge engineering with big data. ? Machine learning, data mining, and statistical methods for data science and engineering. ? Acquisition, representation and evolution of fragmented knowledge. ? Fragmented knowledge modeling and online learning. ? Knowledge graphs and knowledge maps. ? Graph learning security, privacy, fairness, and trust. ? Interpretation, rule, and relationship discovery in graph learning. ? Geospatial and temporal knowledge discovery and graph learning. ? Ontologies and reasoning. ? Topology and fusion on fragmented knowledge. ? Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction. ? Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy. ? Applications and services of knowledge discovery and graph learning in all domains including web, medicine, education, healthcare, and business. ? Big knowledge systems and applications. ? Crowdsourcing, deep learning and edge computing for graph mining. ? Large language models and applications ? Open source platforms and systems supporting knowledge and graph learning. ? Datasets and benchmarks for graphs ? Neurosymbolic & Hybrid AI systems ? Graph Retrieval Augmented Generation SURVEY TRACK Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning. In addition to the above topics, authors can also select and target the following Special Track topics. Each special track is handled by respective special track chairs, and the papers are also included in the conference proceedings. ? Special Track 01: KGC and Knowledge Graph Building ? Special Track 02: KR and KG Reasoning. ? Special Track 03: KG and Large Language Model ? Special Track 04: GNN and Graph Learning ? Special Track 05: QA and Graph Database ? Special Track 06: KG and Multi-modal Learning. ? Special Track 07: KG and Knowledge Fusion. ? Special Track 08: Industry and Applications SUBMISSION GUIDELINES Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee based on technical quality, originality, significance, and clarity. For survey track paper, please preface the descriptive paper title with ?Survey:?, followed by the actual paper title. For example, a paper entitled ?A Literature Review of Streaming Knowledge Graph?, should be changed as ?Survey: A Literature Review of Streaming Knowledge Graph?. This is for the reviewers and chairs to clearly bid and handle the papers. Once the paper is accepted, the word, such as ?Survey:?, can be removed from the camera-ready copy. For special track paper, please preface the descriptive paper title with ?SS##:?, where ?##? is the two digits special track ID. For example, a paper entitled ?Incremental Knowledge Graph Learning?, intended to target Special Track 01 (Machine learning and knowledge graph) should be changed as ?SS01: Incremental Knowledge Graph Learning?. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is single blind, meaning that each submission should list all authors and affiliations. There is no separate abstract submission step. There are no separate industrial, application, or poster tracks. Manuscripts must be submitted electronically in the online submission system. No email submission is accepted. To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word. SUBMISSION LINK https://wi-lab.com/cyberchair/2025/ickg25/ IMPORTANT DATES ? Paper submission (abstract and full paper): June 20, 2025 (AoE) ? Notification of acceptance/rejection: September 5, 2025 ? Camera-ready, copyright forms and author registration: September 20, 2025 ? Early (non-author) registration: October 10, 2025 ? Conference dates: November 13-14, 2025 ORGANISATION Conference and Local Organising Chair ? George A. Papadopoulos, University of Cyprus Conference Co-Chair ? Dan Guo, Hefei University of Technology Program Chairs ? Cesare Alippi, Universit? della Svizzera italiana ? Shirui Pan, Griffith University Local Organising Vice Chair ? Irene Kinlanioti, National Technical University of Athens Finance Chair ? Constantinos Pattichis, University of Cyprus Steering Committee Chair ? Xindong Wu, Hefei University Of Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.lengyel at eng.cam.ac.uk Mon Apr 7 05:54:08 2025 From: m.lengyel at eng.cam.ac.uk (=?utf-8?B?TcOhdMOpIExlbmd5ZWw=?=) Date: Mon, 7 Apr 2025 09:54:08 +0000 Subject: Connectionists: postdoc position at the Emotional Cognition Lab in Cambridge Message-ID: <3A45090A-3787-4256-B36E-EE5E07A7C5FA@eng.cam.ac.uk> I have been asked to circulate the job advert below. Please contact Deborah Talmi > with any questions. M?t? Lengyel *** There is an open postdoc position to work on a collaborative project with Rik Henson and Emily Holmes at the Emotional Cognition Lab at the University of Cambridge https://dtalmi.wixsite.com/emotional-cognition This post will involve conducting advanced memory modelling. See details here: https://www.jobs.cam.ac.uk/job/50770/ The closing date for applications is 21st April. From albagarciaseco at gmail.com Mon Apr 7 06:05:45 2025 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Mon, 7 Apr 2025 12:05:45 +0200 Subject: Connectionists: CFP CLEF 2025 - Madrid - Deadlines 6 and 13 May 2025 In-Reply-To: References: Message-ID: *CLEF 2025 Conference and Labs of the Evaluation Forum* *9-12 September 2025, Madrid, Spain* CLEF 2025 is the 16th CLEF conference continuing the popular CLEF campaigns which have run since 2000 contributing to the systematic evaluation of information access systems, primarily through experimentation on shared tasks. The CLEF Conference addresses all aspects of Information Access in any modality and language. The CLEF conference consists of presentation of research papers and a series of workshops presenting the results of lab-based comparative evaluation benchmarks. *Good To Know* ------------- The CLEF 2025 Conference welcomes papers in the Information Access domain that describe rigorous hypothesis testing regardless of whether the results are positive or negative. Each submission is reviewed in two stages, see more details here: https://clef2025.clef-initiative.eu *Important Dates (AoE)* ----------------------- 6 May 2025: Abstract submission of Long, Short, Best of 2024 Labs Papers 13 May 2025: Full paper submission deadline (Long, Short, Best of 2024 Labs) 10 June 2025: Notification of acceptance (Long, Short, Best of Labs) 23 June 2025: Camera-ready version due 9-12 September 2025: Conference *Format* ------- Authors are invited to electronically submit original papers, which have not been published and are not under consideration elsewhere, using the LNCS proceedings format. Two categories of papers will be accepted: - Long papers: 12 pages plus references - Short papers: 6 pages plus references *Topics* --------- Relevant topics for the CLEF 2025 Conference include but are not limited to: - Information access in any language or modality: information retrieval, image retrieval, question answering, search interfaces and design, infrastructures, etc. - Analytics for information retrieval: theoretical and practical results in the analytics field that are specifically targeted for information access data analysis, data enrichment, etc. - Reproducibility and replicability issues: analyses of past results/run deep analysis both statistically and fine grain based. - Language diversity: work on low-resource languages. - Models leveraging collaborative and social data and their evaluation. - User studies either based on lab studies or crowdsourcing. - Evaluation initiatives: conclusions, lessons learned, impact and projection of any evaluation initiative after completing their cycle. - Evaluation: methodologies, metrics, statistical and analytical tools, component based, user groups and use cases, ground-truth creation, impact of multilingual/multicultural/multimodal differences, etc. - Technology transfer: economic impact/sustainability of information access approaches, deployment and exploitation of systems, use cases, etc. - Interactive and Conversational Information Retrieval evaluation: the interactive/conversational evaluation of information retrieval systems using user-centered methods, evaluation of novel search interfaces, novel interactive/conversational evaluation methods, simulation of interaction/conversation, etc. - Specific application domains: information access and its evaluation in application domains such as cultural heritage, digital libraries, social media, health information, legal documents, patents, news, books, and in the form of text, audio and/or image data. - New data collection: presentation of new data collections with potential high impact on future research, specific collections from companies or labs, multilingual collections. More details at https://clef2025.clef-initiative.eu ---------- *Dr Alba Garc?a Seco de Herrera* *Distinguished researcher* Escuela T?cnica Superior de Ingenier?a Inform?tica -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Mon Apr 7 07:50:32 2025 From: ksharma.raj at gmail.com (Raj Sharma) Date: Mon, 7 Apr 2025 17:20:32 +0530 Subject: Connectionists: First call for papers: CODS 2025 - 13th International Conference on Data Science Message-ID: --------------------------------------------------------------------------------------- CODS 2025 13th International Conference on Data Science (also known as CODS-COMAD between 2018 and 2024) December 17-20, 2025 | IISER Pune https://ikdd.acm.org/cods-2025/ ---------------------------------------------------------------------------------------- We are pleased to announce the 13th International Conference on Data Science to (CODS 2025) be held in IISER Pune, India, on December 17-20, 2025 as a fully physical conference. CODS (also known as CODS-COMAD between 2018 and 2024) is the premier data centric conference in India. The inaugural edition of CODS was held in Delhi in 2014. In 2018, the conference brought together - and continues to value and cherish, the name reversal notwithstanding - the Database community of the COMAD conference, which originated in 1989. The conference invites researchers in the field of data science, data management, data mining, machine learning, and artificial intelligence, as well as papers describing the design, implementation and results of solutions of such advances to real-world problems. This year we introduce a new track on AI for Science, with a starting focus on Life Sciences and Earth Sciences. - CALL FOR PAPERS AND PROPOSALS - RESEARCH TRACK The research track invites archival and non-archival papers describing innovative and original research contributions in the areas of data science, data management, data mining, machine learning, and artificial intelligence, as well as papers describing the design, implementation and results of solutions of such advances to real-world problems. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. Authors of all accepted papers (archival and non-archival) must present their work at the conference. For more details visit: https://ikdd.acm.org/cods-2025/call-for-research-track-papers.php APPLIED DATA SCIENCE TRACK The Applied Data Sciences (ADS) track invites archival and non-archival papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, and practical MLOps approaches. Authors of all accepted papers (archival and non-archival) must present their work at the conference. For more details visit: https://ikdd.acm.org/cods-2025/call-for-applied-data-science-track-papers.php OTHER TRACKS We will also accept papers and proposals in the following tracks. Bookmark CODS 2025 website for updates. Updates from these tracks will be published in future call for papers & proposals - AI for Science - Tutorials - Demo Track - Young Researchers? Symposium - Data Challenge IMPORTANT DATES - Aug 1, 2025: Paper submission deadline in Research and ADS Tracks - Sep 22, 2025: Decision notifications in Research and ADS Tracks - Nov 18: 2025: Camera ready due AWARDS The best paper in each track will receive an award citation TRAVEL GRANTS The conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. ORGANIZING COMMITTEE General Chairs - Amit Apte (IISER Pune) - Amith Singhee (IBM Research, India) PC Chairs (Research Track) - Janardhan Rao (Jana) Doppa (Washington State University) - Sriparna Saha (IIT Patna) PC Chairs (Applied Data Science Track) - Prathosh A. P. (IISc Bangalore) - Srikrishna Karanam (Adobe Research) PC Chairs (AI for Science) - Adway Mitra (IIT Kharagpur) - Ravi Nanjundiah (IISER Pune) - Sumeet Agarwal (IIT Delhi) - Upinder Bhalla (NCBS) Sponsorship Chairs - Tridib Mukherjee (Games24x7) Local Organizing Chairs - Arun Kadekodi (Soft Corner) - Raj Sharma (Walmart Global Tech) - Sonia Garcha (CSPathshala, ACM India) Finance Chairs - Chandrashekhar Sahasrabudhe (Independent) - Abhijat Vichare (ACM India) Steering Committee - Balaraman Ravindran (IIT Madras) - Indrajit Bhattacharya (KnowDis AI) - Mayank Vatsa (IIT Jodhpur) - Niyati Chhaya (Hyperbots Inc.) - Arnab Bhatacharya (IIT Kanpur) -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Mon Apr 7 11:23:11 2025 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Tue, 8 Apr 2025 00:23:11 +0900 Subject: Connectionists: This week: Global Summit on Open Problems for AI. Central Tokyo, Japan, 9-11th April 2025 Message-ID: ???AI ??????????????? ?????Sakura Deeptech?????? ???????????2025 ? 4 ? 9 ? 11 ??This week: Global Summit on Open Problems for AI. Sakura Deeptech, Shibuya Sakura Stage, Tokyo, Japan, 9-11th April 2025. What are the next set of challenges for AI algorithms? What are the big possibilities in entrepreneurship and business application? AI ??????????????????????????????????????????????? The Algorithmic Innovation and Entrepreneurship Global Summit on Open Problems for AI . is this week in Sakura Deeptech, Shibuya Sakura Stage, Tokyo, Japan, 9-11th April 2025. Join world-leading AI researchers, policy makers, and entrepreneurs in this global Summit over three days of keynote talks, panels, and breakout sessions. ??????????????????????? 3 ??????????? ?????????????? AI ???????????????????? ???????????? Day 1 - Algorithms ?????? We ask what the fundamental challenges for developing AI algorithms are, as well as promising avenues for overcoming them. AI ????????????????????????????????????????????????? We?ll be hearing from: Dr Shane Gu (Google DeepMind), Prof. Taro Toyoizumi (Riken CBS), Prof. Masanori Koyama (University of Tokyo), Dr Kai Arulkumaran (Araya Inc.), Dr Emityaz Khan (Riken AIP), Professor Masanori Koyama (University of Tokyo), Prof. Yunzhe Liu (Beijing Normal University), Dr Jad Tarifi (Integral AI), Kiran Mysore (University of Tokyo UTEC), Dr Jiaxian Guo (Google DeepMind), Dr James Whittington (Stanford & Oxford University & Zyphra), Dr Lucy Lai (Harvard University), Dr Yusuke Iwasawa (University of Tokyo), Dr Sam Passaglia (Cohere) Panel on ?Is Scale all we need?? ??????????????????? Panel on ?What is the next big breakthrough in AI?? ?AI ???????????????????? Day 2 - Ethics ????? We ask what the fundamental ethical challenges and opportunities are for AI. AI??????????????????????? Keynotes: Prof. Yuko Harayam (Tohoku University; GPAI), Prof. Arisa Ema (University of Tokyo & RIKEN CAIP), Prof. Toshie Takahashi (Waseda University), Dr Colin Rowat (Rakuten, Cambridge), Dr Joe Ledsam (Google Health), Kenny Song (Citadel AI), Kevin Loi-Heng (Avalon AI), Chris Lengerich (Context Fund), Evan Burkosky (Kimaru AI), Tiffany Kayo (Coral Capital) Panel: Micro Ethics - What Can Individual Researchers Do for Ethical AI? ???? AI ?????????????????????? Chair: Nicolay Hagen (NTNU) Panel: Meso Ethics - What Can Organizations Do for Ethical AI? ??????? AI ??????????????? Chair: Prof. Skyler Wang (McGill) Panel: Macro Ethics - If AI is the answer, what is the question? AI??? Chair: Dr Ruairidh McLennan Battleday (Harvard & MIT) Day 3 - Applications and entrepreneurship ???? We ask what the fundamental challenges and opportunities are in applications for social good and entrepreneurship. ????????????????????????????????????????? Keynotes: Prof. Yukie Nagai (University of Tokyo), Dr Hiroaki Kitano (Adjunct Professor, OIST), Sho Ito (Deputy Director of Innovation, Cabinet Office, Government of Japan), Ilya Kulyatin (Tokyo AI; TAI), Robert Lange (Sakana AI), Dr Daisuke Okanohara (Preferred Networks), Dr Conglong Li (Google Deepmind), Takahiro Matsumoto (Cisco / Robust Intelligence), Dr Jungo Kasai (Kotoba Tech), Dr Nick McGreivy (Princeton University), Dr Andrew Fyfe (Neutone), Elizabeth Oda (Braid AI), Dr Tiago Ramalho (Recursive), Francis Hamilton (Tektome Inc), Dr Qi Chen (Paragraph), Kosuke Arima (Stockmark), Dr Yoshitaka Ushiku (NexaScience) Dr Joshua Tan (Metagov) Run in partnership with the Matsuo-Iwasawa Lab, the Global Partnership on Artificial Intelligence (GPAI at NICT), and Tokyo AI (TAI). ????????????????????????????????? AI ???????????? This should be an exciting and productive event, and we expect an audience of 200 of Japan?s best AI researchers and entrepreneurs at student, early-stage, and full career levels. ??????????????????????????????????????????????? AI ??????? 200 ??????????????? Student tickets: $20 for all three days ?3000 ??3???? General tickets: $20 per day ?3000 1????? Reserve your place now! ?????????? Ruairidh , Lucy , and James Thinking About Thinking -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From akirapunk at gmail.com Mon Apr 7 11:29:50 2025 From: akirapunk at gmail.com (Nicola Catenacci) Date: Mon, 7 Apr 2025 16:29:50 +0100 Subject: Connectionists: IMOL2025: 7th Intrinsically Motivated and Open-ended Learning Workshop - Save the Date Message-ID: We are excited to announce the* 7th Intrinsically Motivated and Open-ended Learning (IMOL) Workshop*. It will take place at the University of Hertfordshire, UK, from September 8?10, 2025. IMOL2025 will bring together researchers in AI, machine learning, robotics, cognitive science, psychology, biology and related fields to share, discuss and explore the latest advancements in intrinsic motivation and open-ended learning. *Location*: University of Hertfordshire, Hatfield, UK (~25 minutes by fast train from London Kings Cross) *Dates*: September 8-10, 2025 *Registration*: required, but no fee for participants *Contributions:* extended abstracts for poster sessions and selected plenary talks More information, including the call for contributions, invited speakers, and registration details, will follow soon. For any enquiries, please contact n.catenacci-volpi at herts.ac.uk. Stay tuned and mark your calendars. See you at IMOL2025, IMOL2025 UH Organising Committee (Nicola Catenacci Volpi, Christoph Salge, Daniel Polani) -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Mon Apr 7 10:01:05 2025 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Mon, 7 Apr 2025 14:01:05 +0000 Subject: Connectionists: Call for applications: School on Analytical Connectionism (25 Aug- 5 Sep 2025) In-Reply-To: References: <2F7AEB6B-0412-4CD2-B643-1932A412A8A4@ucl.ac.uk> Message-ID: <68084837-BB89-4661-A532-274D6827B0D0@ucl.ac.uk> Topical focus: Bias in learning 25 August - 5 September 2025, London www.analytical-connectionism.net/school/2025 Apply by 18 April 2025 We are delighted to announce the 3rd edition of the School on Analytical Connectionism. This 2-week course will focus on analytical tools, including methods from statistical physics and probability theory, for probing neural networks and higher-level cognition. This course is appropriate for graduate students, postdoctoral fellows and faculty in fields from psychology and neuroscience, to physics, computer science, and mathematics. The course will bring together neuroscience, psychology, and machine-learning communities, introducing participants to connectionist theories of higher-level cognition and psychology as well as analytical methods for neural-network analysis. Participants will work in teams, mentored by course lecturers and organisers, to develop novel research projects on topics related to analytical connectionism. Participants will present the research proposals in Week 1 and interim results at the end of the course. Confirmed Faculty: R?mi Monasson (CNRS/ENS) Tim Rogers (University of Wisconsin-Madison) Tali Sharot (UCL/MIT) Merav Ahissar (Hebrew University of Jerusalem) Xuechunzi Bai (University of Chicago) Marco Baity-Jesi (Eawag) Mathew Diamond (SISSA) Lasana Harris (UCL) Tiago Maia (University of Lisbon) Angela Radulescu (Icahn School of Medicine at Mt. Sinai) Levent Sagun (FAIR) Fanny Yang (ETHZ) Best, I-Chun on behalf of the School Organisers -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL -------------- next part -------------- An HTML attachment was scrubbed... URL: From sunny.bains at ucl.ac.uk Mon Apr 7 14:14:12 2025 From: sunny.bains at ucl.ac.uk (Bains, Sunny) Date: Mon, 7 Apr 2025 18:14:12 +0000 Subject: Connectionists: Brains and Machines podcast Message-ID: <467B3F3E-BF25-4CCC-9C12-203C219C0691@ucl.ac.uk> Brains and Machines is a monthly podcast about neuromorphic engineering and bio-inspired technology, published in conjunction with EE Times Current. Each episode is featured around an interview, with the latest one being Terry Sejnowski from the Salk Institute. Previous guests (we?re on episode 26) include Mitra Hartmann from Northwestern, Carver Mead of Caltech, and roboticist Rodney Brooks. You can listen to the podcast at EE Times Current (interspersed with other podcasts), through Brains and Machines, and you can also subscribe (with a one episode delay) by clicking the links at the top right of that site (we?re available through most of the usual channels). We hope you get the chance to listen in! -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Tue Apr 8 03:46:15 2025 From: announce at ucy.ac.cy (Announce) Date: Tue, 8 Apr 2025 07:46:15 +0000 Subject: Connectionists: Department of Computer Science, University of Cyprus: Academic Vacancy in A.I. Message-ID: Department of Computer Science -- University of Cyprus Academic Vacancy in A.I. (Full Professor) The Department of Computer Science (www.cs.ucy.ac.cy) at the University of Cyprus announces one (1) academic position at the rank of Professor in the field of Artificial Intelligence. The position will be filled under XM?s designated chair entitled ?The XM Chair in Artificial Intelligence?. The Chair is funded by TP Servglobal Limited, a member of the XM Group (www.xm.com). XM is a leading provider of online investment services internationally. Upon appointment, the Chair's holder will receive a ?30,000 research grant from the XM Group, in addition to their initial funding under the University of Cyprus Regulations. This funding will support research development, promotional activities, and collaboration with the XM Group and other relevant international research centers and universities. The Chair's holder will play a key role in advancing teaching and research in Artificial Intelligence, benefiting the academic community, society, and the economy. For this vacancy, a university degree and a PhD title from an accredited university are required. The minimum requirements for the academic rank of a Professor are set in the following web link: https://rb.gy/k3pel In accordance with the applicable legislation, the annual gross salary (including the 13th salary) for full-time employment is: Professor (Scale ?15-?16) ?80.094,70 - ?104.114,56. Employee contributions to the various State funds will be deducted from the above amounts. The selected candidate will be expected to teach in both Greek and English within the Department of Computer Science's undergraduate and graduate programs. Therefore, proficiency in both Greek and English is required. Candidates do not need to be citizens of the Republic of Cyprus. Candidates are invited to submit their applications electronically by uploading the following documents in English and in PDF format at the following link: https://applications.ucy.ac.cy/recruitment 1 Cover Letter 2 Curriculum Vitae 3 Copy of ID/Passport 4 Copy of a bachelor?s degree from an accredited University is required 5 Copy of a PhD degree from an accredited University is required 6 Review of previous research work and a brief description of future research projects (up to 3 pages) 7 List of publications 8 Representative publications (up to 3 publications which should be submitted separately). 9 The names and email addresses of three professors from whom confidential letters of recommendation (in English) will be automatically requested upon submission of the application. Letters of recommendation may be submitted up to 7 days following the deadline for submission of applications. It is the responsibility of each candidate to ensure that the references are submitted. In case the letters of recommendation are not submitted on time, the application will not be considered. The deadline for applications is Friday the 4th of July 2025. A more detailed announcement can be found here: https://tinyurl.com/XMChairAI -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Tue Apr 8 05:12:31 2025 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Tue, 8 Apr 2025 09:12:31 +0000 Subject: Connectionists: Research assistant post: neural computations of foraging decisions. University of Nottingham (UK) Message-ID: The Humphries? lab at the University of Nottingham is seeking a research assistant to join a project on the neural computations of foraging decisions, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make endless stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is a common decision algorithm for leaving across species and what that algorithm is. You will create predictions for how foragers should vary in their stay-of-leave decisions for different types of decision algorithm, and test them using data from humans and rodents tackling foraging tasks. You will have some experience in computational modelling of behaviour, such as decision-making models or reinforcement learning, and good programming skills. The post is for 12 months, and would suit predoctoral candidates seeking research experience. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries at nottingham.ac.uk. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI128025 Closing date: May 5th 2025 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 kai.sauerwald at fernuni-hagen.de Tue Apr 8 05:39:05 2025 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Tue, 8 Apr 2025 11:39:05 +0200 Subject: Connectionists: [CFP] Foundations and Future of Change in Artificial Intelligence (FCAI) - Workshop @ ECAI Message-ID: <0965c41d-a549-495b-9fcb-5b52ada647cc@fernuni-hagen.de> **************************************************************************************** FCAI 2025 @ ECAI 2025 Foundations and Future of Change in Artificial Intelligence October 25/26, Bologna, Italy https://fcai2025.machine-reasoning.org/ Workshop co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) **************************************************************************************** Changing information transversely affects nearly any task and process that we aim to formalize computationally. Consequently, making sense of how to change information is a central aspect and precursor for further advancements in many domains. Naturally, approaches to describe changes, to deal with change, and to conduct changes have been developed in very different areas of artificial intelligence. These approaches generally consider changing from different angles and highlight diverse aspects that sometimes complement each other. For instance, in database theory, much work has been devoted to transactions as the main representation of change and the study of how that affects the computational complexity of querying such databases. On the other hand, researchers in belief change investigated the axiomatic and semantics of different kinds of changes in formal theories. Recent advancements in Machine Learning pose new and exciting challenges in formal approaches to change, which seem conceptually different from classical approaches to change. This workshop aims to bring together researchers from different areas of AI and beyond who work on change in their respective areas and see potential in bridging approaches or for radically advanced existing approaches to change to be combined with new ideas and perspectives. We also invite works that provide general insights on change that are important for multiple areas of artificial intelligence or even for computer science in general. ********************** *** List of Topics *** The workshop welcomes contributions on every topic related to the formal treatment of change, the evolution of representations in artificial intelligence, and approaches that implement such approaches. The following lists potential topics (but is not limited to these): ? Position papers on the foundations and future of change ? Logics for the representations of changes or reasoning about changes ? Belief change theory ? Repair in databases and ontologies ? Database update and querying ? Dynamic complexity theory ? Approaches to the meaning and semantics of change, e.g., conditionals and plausibility ? Alternative meanings of change ? Theories of aspects and kinds of changes, like inconsistency, time or ontologies of change ? Foundations of editing, retraining or learning of subsymbolic representations ? Learning as a change process ? Algorithms to compute changes ? Approaches to track changes ? Philosophical aspects of change ? Updating incomplete information ? Dynamics of logic and database systems ? Evolution and versioning ? Reasoning about update programs ******************************** *** Deadlines and Submission *** ? Paper submission: July 13, 2025 ? Notification: August 3, 2025 ? Workshop: October 25/26, 2025 (tentative) There are two types of submissions: ? Full papers. Full papers should be at most 18 pages (one column), excluding references and acknowledgments. Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page and the submission at FCAI falls within the authors? rights. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. ? Extended Abstracts. Extended abstracts should be at most 5 pages (one column), excluding references and acknowledgments. The abstracts should introduce work that has recently been published, is under review, or is ongoing research at an advanced stage. We highly encourage to attach to the submission a preprint/postprint or a technical report. Such extra material will be read at the discretion of the reviewers. Submitting already published material may require permission by the copyright holder. Submission will be through the EasyChair conference system: https://easychair.org/my/conference?conf=fcai2025 The accepted papers will be made available electronically in the CEUR Workshop Proceedings series as informal proceedings (http://ceur-ws.org/). The copyright of the papers remains with the authors. Full papers will be indexed by dblp.org; but extended abstracts published on CEUR proceedings will not be indexed by dblp.org. ***************** *** PC Chairs *** ? Maria Vanina Martinez (Artificial Intelligence Research Institute (AAAI-CSIC), Barcelona, Spain) ? Nina Pardal (University of Huddersfield, UK) ? Kai Sauerwald (FernUniversit?t in Hagen, Germany) *************************** *** Further Information *** For further information, please visit the FCAI webpage: https://fcai2025.machine-reasoning.org/ Please feel free to contact the organizer of FCAI 2025. Information on the venue and registration can be obtained from the ECAI 2025 website: https://ecai2025.org/ From cmazzocca at unisa.it Tue Apr 8 06:22:56 2025 From: cmazzocca at unisa.it (Carlo MAZZOCCA) Date: Tue, 8 Apr 2025 12:22:56 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Workshop_Proposals_=E2=80=93_I?= =?utf-8?q?EEE_BCCA_2025_=28Dubrovnik=2C_Croatia=29?= Message-ID: Dear Colleagues, We are pleased to invite you to submit workshop proposals for the *IEEE International Conference on Blockchain Computing and Applications (BCCA 2025)*, which will take place in Dubrovnik, Croatia, October 14-17, 2025. We encourage proposals for one-day or two-day workshops covering blockchain and distributed ledger technologies. We particularly welcome workshops that explore emerging challenges and novel research directions aligned with the conference themes. A workshop proposal must be at most 4 pages. For more details, please visit the *workshop site*: https://bcca-conference.org/2025/workshop.php *Important Dates* - *Proposal Submission Deadline: *15th April, 2025 - *Notification of Acceptance*: 20th April, 2025 *Submission Details:* Proposals must be sent via e-mail to the following addresses: - Carlo Mazzocca - Lukas Sparer Best regards, Carlo Mazzocca Lukas Sparer IEEE BCCA Workshop Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From clg20 at psu.edu Tue Apr 8 08:28:20 2025 From: clg20 at psu.edu (Giles, C Lee) Date: Tue, 8 Apr 2025 12:28:20 +0000 Subject: Connectionists: Pseudocode data and search engine In-Reply-To: References: Message-ID: Colleagues Announcing PseudoSeer: A Pseudocode Search Engine for Scholarly Papers We are pleased to announce the launch of PseudoSeer, a specialized search engine designed for indexing and searching pseudocode from scholarly papers. The goal is to enhance the way researchers and academics access algorithmic content within the academic literature. All pseudocode is found and extracted from documents in the arXiv. The pseudocode data is online. Key Features: PseudoSeer offers several advanced search capabilities: ? Contextual Search: Employs LLMs to compute semantic similarity, enabling the retrieval of con- textually relevant search results. Retrieval performance is further enhanced by leveraging pseudocode descriptions (i.e., captions) as positive anchors in contrastive representation learning to fine-tune the LLM-based contextual retrieval model. ? BM25-Based Search: Employing the BM25 ranking function for keyword-based queries. ? Multi-Field Weighted Search: Allowing queries across various document fields using weighted BM25. ? Advanced Filtering: Offering date, author, and topic-based filters for refined searches. ? Hybrid Ranking: Combining sentence transformer embeddings with BM25 rankings for comprehen- sive results. ? Exact Query Search: Supporting precise phrase matching. PseudoSeer indexes more than 150,000 scholarly documents, tailored to the needs of researchers in mul- tiple fields which include but is not limited to computer science, mathematics, physics and biology. PseudoSeer can be found at https://pseudoseer.ist.psu.edu We hope PseudoSeer will be a useful tool for researchers working with algorithms. Any feedback is welcomed as we continue to improve the platform. Data can be found at: https://doi.org/10.7910/DVN/EX2OCT Related paper can be found at https://arxiv.org/abs/2411.12649 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Apr 8 14:18:38 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 8 Apr 2025 21:18:38 +0300 Subject: Connectionists: REMINDER: Worldwide VVTNS series: Carl van Vreeswijk Memorial Lecture | Wednesday, April 9, 2025, at 11:00 am EDT| James DiCarlo, MIT In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the first *'Carl van Vreeswijk Memorial Lecture ' * James DiCarlo MIT on the topic of Do contemporary, machine-executable models of primate sensory systems unlock the ability to non-invasively, beneficially modulate high-level brain states? The lecture will be held on Zoom on April 9, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Over the past decade, neuroscience, cognitive science and computer science (?AI?) converged to create specific, image-computable, deep neural network models intended to appropriately abstract, emulate and explain the mechanisms of primate ventral visual processing, up to its deepest neural level, the inferior temporal cortex (IT). Because these leading neuroscientific emulation models ? aka ?digital twins? ? are fully observable and machine-executable, they offer predictive and potential application power that our field?s prior conceptual models did not. Our team?s ongoing work is aimed at asking if current digital twin models might support non-invasive, beneficial brain modulation. In this talk, I will describe a key result: we demonstrate that we can use a digital twin to design spatial patterns of light energy that, when ?added? to the organism?s retinal input in the context of ongoing natural visual processing, results in precise modulation (i.e. rate bias) of the pattern of a population of IT neurons (where any intended modulation pattern is chosen ahead of time by the scientist). Because the IT visual neural populations are known to directly connect to and modulate downstream neural circuits (e.g. amygdala) that may underlie psychological affective states (e.g. mood and anxiety), this novel basic science may unlock a new, non-invasive application avenue of potential future human clinical benefit. This progress and new impact possibilities resulted from convergent brain science and AI engineering efforts in the domain of visual object intelligence. I will motivate this as just one example of what I believe will unlock in other domains of human intelligence as brain scientists and AI engineers collaborate to develop machine-executable models of the underlying mechanisms of those still-mysterious domains. *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... 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Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From anna.rapberger at aon.at Tue Apr 8 09:22:18 2025 From: anna.rapberger at aon.at (Anna Rapberger) Date: Tue, 8 Apr 2025 14:22:18 +0100 Subject: Connectionists: Fwd: CfP: NMR 2025 In-Reply-To: <87374433-9f5e-4e24-b184-5688dd2246b2@imperial.ac.uk> References: <87374433-9f5e-4e24-b184-5688dd2246b2@imperial.ac.uk> Message-ID: /[Apologies for cross-posting]/ ============================= *** NMR 2025: Call for Papers *** November 11-13, 2025, Melbourne, Australia * Deadlines: July 10 & 17, 2025 * ============================= *-- The 23rd International Workshop on Nonmonotonic Reasoning (NMR 2025) --* *When: *November 11-13, 2025 *Where: *Melbourne, Australia *Website: *https://nmr.krportal.org/2025 *Submissions website: *https://easychair.org/conferences/?conf=nmr2025 NMR 2025 is part of the 22th International Conference on Principles of Knowledge Representation and Reasoning (KR2025), https://kr.org/KR2025/. NMR is the premier forum for results in the area of nonmonotonic reasoning. Its aim is to bring together active researchers in this broad field within knowledge representation and reasoning (KRR), including belief revision, uncertain reasoning, reasoning about actions, planning, logic programming, preferences, deontic reasoning, argumentation, causality, and many other related topics including systems and applications (see NMR page, https://nmr.krportal.org). NMR aims to foster connections between the different subareas of nonmonotonic reasoning and provide a forum for emerging topics. We especially invite papers on systems and applications, as well as position papers and papers addressing benchmark issues. The workshop will be structured by topical sessions fitting to the scopes of accepted papers. The workshop will be held in Melbourne, Australia, in November 11-13, 2025. Workshop activities will include invited talks and presentations of technical papers. *-- Important Dates -- * All dates are 'Anywhere on Earth', namely 23:59 UTC-12. - Paper registration: July 10, 2025 - Paper submission: July 17, 2025 - Notification: August 28, 2025 - Camera-ready: October 4, 2025 - Workshop: November 11-13, 2025 * -- Submission Information -- * Papers should be at most 10 pages in KR style including references, figures, and appendices, if any. The author kit can be found on the KR 2025 website (https://nmr.krportal.org/2025). Papers must be submitted in PDF only. Please submit via Easychair to: https://easychair.org/conferences/?conf=nmr2025 Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page and the submission at NMR falls within the authors? rights. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. * -- Workshop Proceedings -- * The accepted papers will be made available electronically in the CEUR Workshop Proceedings series (http://ceur-ws.org/). The copyright of papers remain with the authors. * -- Workshop Co-Chairs -- * Anna Rapberger,??? Imperial College London, UK Sebastian Rudolph, Technische Universit?t Dresden, Germany *-- Local Chair -- * Son Tran, Deakin University, Australia *-- Further Information -- * Please visit the workshop website (https://nmr.krportal.org/2025) for further information and regular updates. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Apr 8 09:56:43 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 8 Apr 2025 16:56:43 +0300 Subject: Connectionists: NeuroBridges 2025: deadline to apply is approaching Message-ID: *NeuroBridges 2025* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: April 15th, 2025* *NeuroBridges 2025* is a summer school which will take place between *September 7 and September 18, 2025* in Le Centre de Conferences Internationales de Cluny, France (CCIC) . The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available*. *NeuroBridges 2025 Faculty:* - Alaa Ahmed (U. Colorado) Rava Azeredo da Silveira (IOB) Ahmed El Hady (Max Planck Institute) David Hansel (CNRS) Mehdi Khamassi (CNRS) Carole Levenes (CNRS) Yonatan Loewenstein (Hebrew U.) Zach Mainen (Champalimaud), TBC Israel Nelken (Hebrew U.) Drazen Prelec (MIT) Reza Shadmehr (John Hopkins U.) - *NeuroBridges *is co-organized by Ahmed El Hady (Max Planck Institute), David Hansel (CNRS, Paris), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and Carole Levenes (CNRS, Paris). For more information and application, visit our website: https://neurobridges.net/upcoming *Contact us:* neurobridges2025 at gmail.com - ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From bnuzhanglei2008 at gmail.com Tue Apr 8 17:00:21 2025 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Tue, 8 Apr 2025 22:00:21 +0100 Subject: Connectionists: [Call for Submission] "NeuroAI: Exploring Interdisciplinary Frontiers: Cognitive Science, Computational Modeling, and Artificial Intelligence" Message-ID: (sorry for cross-posting) Dear colleagues, We are delighted to share that our interdisciplinary symposium on NeuroAI, "Exploring Interdisciplinary Frontiers: Cognitive Science, Computational Modelling, and AI", will take place at Selwyn College, University of Cambridge, on 9?10 May 2025. This event is one of only 13 projects funded (out of over 100 applications) by the Cambridge Centre for Data-Driven Discovery (C2D3). It aims to foster dialogue and collaboration across disciplines such as cognitive science, neuroscience, psychology, AI, robotics, human?robot interaction, and computational modelling. We are honoured to host the following keynote speakers: - Prof. M?t? Lengyel (University of Cambridge) ? Learning, memory, computational neuroscience - Prof. Emily S. Cross (ETH Z?rich) ? Embodied social cognition, neuroaesthetics, human?robot interaction - Prof. Frank Pollick (University of Glasgow) ? Action perception, VR, brain imaging, human?AI interaction - Prof. Li Su (University of Cambridge / University of Sheffield) ? Computational neuroimaging, AI in mental health ? Key Dates (anywhere on earth) Abstract submission deadline: 15 April 2025 Notification of acceptance: rolling from 18 April 2025 Final programme announcement: 22 April 2025 All eligible submissions will be accepted in principle; format (flash talk or poster) will be determined based on selection. ? The conference will be held in a hybrid format. In-person attendees will be invited to a formal dinner at Selwyn College for free, offering a great opportunity for networking and interdisciplinary exchange. Space is limited - please consider registering ASAP! ? Event website: https://sites.google.com/view/capbs2025/home ? Registration: https://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-cognition-and-brain-sciences-unit/exploring-interdisciplinary-frontiers/exploring-interdisciplinary-frontiers-may-2025 Warm regards, (on behalf of the organising committee from: University of Surrey, University of Birmingham, University of Sheffield, University of Bath, University of Glasgow, University of Oxford, and University of Cambridge) [image: image.png] --- Dr. Lei Zhang w: lei-zhang.net t: @lei_zhang_lz -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 5439598 bytes Desc: not available URL: From rnogueiramanas at gmail.com Tue Apr 8 23:18:25 2025 From: rnogueiramanas at gmail.com (Ramon Nogueira) Date: Tue, 8 Apr 2025 22:18:25 -0500 Subject: Connectionists: Postdoctoral Fellows in Theoretical/Computational Neuroscience at UChicago Message-ID: The Grossman Center for Quantitative Biology and Human Behavior at the University of Chicago seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience. We especially welcome applicants who develop mathematical approaches, computational models, and machine learning methods to study the brain at the circuits, systems, or cognitive levels. The current faculty members of the Grossman Center to work with are: (informal enquiries are welcome) - Brent Doiron?s lab investigates how the cellular and synaptic circuitry of neuronal circuits supports the complex dynamics and computations that are routinely observed in the brain. ( bdoiron at uchicago.edu). - Jorge Jaramillo?s lab investigates how subcortical structures interact with cortical circuits to subserve cognitive processes such as memory, attention, and decision making. (jorgejaramillo at uchicago.edu). - Ramon Nogueira?s lab investigates the geometry of representations as the computational support of cognitive processes like abstraction in noisy artificial and biological neural networks. (rnogueira at uchicago.edu). - Marcella Noorman?s lab investigates how properties of synapses, neurons, and circuits shape the neural dynamics that enable flexible and efficient computation. (noormanm at uchicago.edu). - Samuel Muscinelli?s lab studies how the anatomy of brain circuits both governs learning and adapts to it. We combine analytical theory, machine learning, and data analysis, in close collaboration with experimentalists. ( smuscinelli at uchicago.edu) Appointees will have access to state-of-the-art facilities and multiple opportunities for collaboration with exceptional experimental labs within the Neuroscience Institute, as well as other labs from the departments of Physics, Computer Sciences, and Statistics. The Grossman Center offers competitive postdoctoral salaries in the vibrant and international city of Chicago, and a rich intellectual environment that includes the Argonne National Laboratory and UChicago?s Data Science Institute . The Neuroscience Institute is currently engaged in a major expansion that includes the incorporation of several new faculty members in the next few years. APPLICATIONS: Please send your application before May 1st, 2025 as a single PDF file to neurotheory at uchicago.edu. It must include: 1. CV with publications highlighted; 2. A motivation letter specifying the types of projects you would like to work on; 3. The names and contact details of two academic references. Earliest start date: July 1st, 2025, or via mutual agreement. https://neuroscience.uchicago.edu/grossmancenter-postdoctoral-fellows-theoretical-and-computational-neuroscience *The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From vassilis.cutsuridis at plymouth.ac.uk Wed Apr 9 05:34:06 2025 From: vassilis.cutsuridis at plymouth.ac.uk (Vassilis Cutsuridis) Date: Wed, 9 Apr 2025 09:34:06 +0000 Subject: Connectionists: Call for Papers to "Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective" special issue Message-ID: Dear colleagues, we would like to invite you to submit a manuscript to the Special Issue "Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective" organized by the Brain Sciences journal. Scope Neuromorphic artificial intelligence (AI), inspired by brains, constitutes a shift in the development of AI technology that is able to process vast amounts of information extremely quickly, accurately, and with far less energy expenditure than any AI/DL system. Because it utilizes event-based processing in which neurons spike only in response to specific stimuli, at any given time only a small fraction of neurons is active, drastically reducing energy consumption. Neuromorphic AI is expected to open new roads to computing technologies (software and hardware) and pave the way to true artificial general intelligence. This Special Issue aims to solicit articles that report state-of-the-art approaches to and recent advances in: * Novel neuromorphic architectures and models constrained by neurobiological data from multiple levels of detail showing mastery in all faculties, including sensory recognition, learning and memory, decision making, cognitive control, reasoning, language processing, and consciousness * Learning algorithms constrained by the limits of biology and neuromorphic hardware * Neuromorphic hardware (sensors, chips, cameras) for cognitive systems * Applications of neuromorphic architectures or hardware to cognitive robotics * Application of neuromorphic architectures or hardware to all other aspects of science and technology This Special Issue will bring together scientists with diverse backgrounds to discuss current concepts and exciting new results in this broad field, cutting across disciplines and focusing on topics that have a high potential to synergize. It is expected that this Special Issue will generate valuable new insights and highlight promising directions of future progress. Deadline for manuscript submissions: 31 August 2025 Regards, Vassilis --- Dr Vassilis Cutsuridis Associate Professor in Computer Science School of Engineering, Computing and Mathematics University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA Email: vassilis.cutsuridis at plymouth.ac.uk Web: https://www.plymouth.ac.uk/staff/vassilis-cutsuridis *** I work strange hours. You may receive emails from me outside of office hours, but please do not feel you need to reply outside of office hours. ________________________________ [https://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Apr 9 05:21:46 2025 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 9 Apr 2025 11:21:46 +0200 Subject: Connectionists: CfP: MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2025) Message-ID: MACLEAN: MAChine Learning for EArth ObservatioN https://sites.google.com/view/maclean25 19 September 2025 KEY DATES Paper submission deadline: June 14, 2025 Paper acceptance notification: July 14, 2025 Paper camera-ready deadline: TBA CONTEXT The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models. In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning. Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop?s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. TOPICS - Supervised Classification of Multi(Hyper)-spectral data - Supervised Classification of Satellite Image Time Series data - Unsupervised Learning of EO Data - Deep Learning approaches to deal with EO Data - Machine Learning approaches for the analysis of multi-scale EO Data - Machine Learning approaches for the analysis of multi-source EO Data - Semi-supervised classification approaches for EO Data - Active learning for EO Data - Transfer Learning and Domain Adaptation for EO Data - Interpretability and explainability of machine learning methods in the context of EO data analysis - Bayesian machine learning for EO Data - Dimensionality Reduction and Feature Selection for EO Data - Graphicals models for EO Data - Structured output learning for EO Data - Multiple instance learning for EO Data - Multi-task learning for EO Data - Online learning for EO Data - Embedding and Latent factor for EO Data - Foundation Models for Earth Observation - Multi-Modal approaches for EO Data - Self-supervised learning for EO Data - Physics-informed machine learning for EO Data INVITED SPEAKERS: - Prof. Dr. Elif Sertel - Istanbul Technical University, Istanbul, TR, https://web.itu.edu.tr/~sertele/ Keynote title : TBA SUBMISSION We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2025 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series. WORKSHOP WEBSITE: https://sites.google.com/view/maclean25 SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/Submission/Index PC-CHAIRS Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti at cnrs.fr Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas at inrae.fr Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco at inrae.fr Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From bnuzhanglei2008 at gmail.com Tue Apr 8 17:15:02 2025 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Tue, 8 Apr 2025 22:15:02 +0100 Subject: Connectionists: [reminder] Birmingham-Leiden Summer School in Computational Social Cognition 2025 Message-ID: (sorry for cross-posting) We are delighted to welcome applications for the second edition of the *Birmingham-Leiden Summer School in Computational Social Cognition (CSC) *. The summer school is hosted at the University of Birmingham (UK), in collaboration with Leiden University (NL), and will take place from 2nd-5th September 2025. Apply by 18th April 2025 (see information below)! Attending the Birmingham-Leiden CSC Summer School will equip a diverse cohort of early career researchers (trainees through to junior faculty members) with the ability to understand, program, and interpret the output of a range of computational models of social cognition (e.g., reinforcement learning models, evidence accumulation models, Bayesian inference models) and their potential interaction with other modalities of measurements (e.g., fMRI, EEG, eye-tracking). Attendees will receive various types of training (keynote lectures, workshops, tutorials, etc) and work on a group project, both aimed at understanding modelling as well as the theoretical and practical inferences that can be drawn from computational models under social contexts. Keynote speakers: - Matthew Rushworth, University of Oxford (UK) - Diana Tamir, Princeton University, (USA) - David Amodio, University of Amsterdam, (NL) The full list of instructors is available at *https://compsoccog.com/instructors-and-speakers. * For this year?s training program and organising committee, see *https://www.compsoccog.com/about *. To apply, please complete *this form covering your motivation and experience *, including a short CV. The deadline is 18th April 2025. Outcomes will be communicated in early May, with registration for successful applicants then open until mid-June. This year, the CSC Summer School received financial support from the *William K. & Katherine W. Estes Fund in association with the Association of Psychological Science * We hope to see you this summer in Birmingham! Jo (2025 co-lead), Lei (2025 co-lead), & Anna, on behalf of the CSC 2025 organising committee --- Dr. Lei Zhang w: lei-zhang.net t: @lei_zhang_lz -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed Apr 9 10:14:25 2025 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 9 Apr 2025 16:14:25 +0200 (CEST) Subject: Connectionists: PhD position at Loria(Nancy)/LIA(Avignon, France Message-ID: <1967296757.9262008.1744208065800.JavaMail.zimbra@loria.fr> In the context of the ENACT AI cluster, a funded three-year PhD positions will open with LORIA's MultiSpeech Team (Universit? de Lorraine), LIA's Speech and Language Group (Avignon University) and the faculty of medecine (Universit? de Lorraine) : "Social-behavior-aware chatbot for a communication skills coaching of medical students" Supervision: Irina Illina, Patrice Gallet and Fabrice Lef?vre Full description and application form available at [ https://doctorat.univ-lorraine.fr/fr/les-ecoles-doctorales/iaem/offres-de-these/enact-chatbot-axe-sur-le-comportement-social-pour-le | https://doctorat.univ-lorraine.fr/fr/les-ecoles-doctorales/iaem/offres-de-these/enact-chatbot-axe-sur-le-comportement-social-pour-le ] Applications should include (in PDF): - cover letter (1 page max) - resume - summary of previous work (1 page) - Master?s diploma (if available) and transcripts for all years - two referees to contact Applications close on April 24. Best, - Irina Illina and Fabrice Lef?vre -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From juffi at faw.jku.at Wed Apr 9 12:31:52 2025 From: juffi at faw.jku.at (=?UTF-8?Q?Johannes_F=C3=BCrnkranz?=) Date: Wed, 9 Apr 2025 18:31:52 +0200 Subject: Connectionists: 4 Tenure-Track Positions in AI only for Women! Message-ID: https://www.jku.at/en/lit-artificial-intelligence-lab/career/precall-four-tenure-track-professorships/ We are proud to announce four tenure-track professorships at Johannes Kepler University Linz *only for female applicants* on the topics: - Knowledge and Data Processing - Natural Language Processing and Interaction - Neuro-Symbolic Artificial Intelligence - Reinforcement Learning In accordance with the concept to support the advancement of women, the positions will be open solely to female applicants. Deadline will most likely be May 28. The official announcements will soon be posted here: https://www.jku.at/en/the-jku/work-at-the-jku/job-openings/professorship-positions/ From axel.hutt at inria.fr Thu Apr 10 02:47:03 2025 From: axel.hutt at inria.fr (Axel Hutt) Date: Thu, 10 Apr 2025 08:47:03 +0200 (CEST) Subject: Connectionists: Course on Spectral Analysis of Experimental Data Message-ID: <1214961403.36991650.1744267623071.JavaMail.zimbra@inria.fr> ************************************************************************* Course on Spectral Analysis of Experimental Data ************************************************************************* When: May 23, 10am-5pm, d eadline for the application is May 1st. Where: Centre for Organismal Studies, Heidelberg The spectral analysis of experimental time series?for example, those obtained from biological systems?requires a fundamental understanding of basic principles. This course aims to minimize the use of mathematical formalism and instead explain the core concepts through numerous examples. Naturally, questions are warmly welcome. The course is intended for young researchers, including Master?s and PhD students, as well as Postdocs and established scientists who wish to fill potential gaps in their understanding. Topics to be discussed include: * Sampling Theory * Fourier Analysis * Spectral Filters * Time-Frequency Analysis (wavelets, Short-Time Fourier Transform) * The concept of analytical signals (e.g. Hilbert Transform) * Synchronisation (coherence, phase synchronisation) * Statistical inference of spectral power Prerequisites: The participant should already have worked with experimental data and should have a basic knowledge of applied mathematics. Lecturer: Axel Hutt, INRIA Registration: please find the application form [ https://forms.gle/N8LmmCoALLuKgsfg6 | HERE ] . The workshop is free of charge. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ian.nabney at bristol.ac.uk Thu Apr 10 04:54:11 2025 From: ian.nabney at bristol.ac.uk (Ian Nabney) Date: Thu, 10 Apr 2025 08:54:11 +0000 Subject: Connectionists: Call for Papers: MLVis 2025, Machine Learning Methods in Visualisation Message-ID: Call for papers (reminder, deadline approaching Apr 14): MLVis 2025, Machine Learning Methods in Visualisation for Big Data Machine Learning Methods in Visualisation for Big Data will be held as part of EuroVis 2025 in Luxembourg City, Luxembourg. The tenth edition of this co-located event will be part-tutorial and part-workshop so as to increase the interaction between researchers. The workshop will feature a keynote by Prof. John A. Lee (Universit? catholique de Louvain, Belgium). Part of the MLVis 2025 programme will consist of short papers. We solicit short papers on machine learning methods in visualisation from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users. Topics include but are not limited to: Explainable Machine Learning, Dimensionality Reduction, Visualisation of Clustering, Regression, and Classification, Steerable Machine Learning, Visualisation to Improve Machine Learning Models, Automation of Visualisation and Visual Analytics, Visualisation and Machine Learning in Text Analytics, Visualisation in Online Machine Learning Submission deadline: April 14, 2025 More details: https://events.tuni.fi/mlvis/mlvis-2025/ --- Professor Ian Nabney Associate Dean for the Faculty of Science and Engineering Merchant Venturers Building Woodland Road Bristol BS8 1UB Personal messages and calendar bookings should use ian.nabney at bristol.ac.uk Teams: ian.nabney at bristol.ac.uk PA: Fed Ishak Mekhail pa-pvc-scieng at bristol.ac.uk Phone: +44 117 455 1641 I sometimes work at irregular times to suit my personal pattern of working. If this email arrives out of normal working hours, please note I do not expect a reply. ________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Thu Apr 10 05:40:12 2025 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 10 Apr 2025 12:40:12 +0300 Subject: Connectionists: ICCNS 2025 CFP: The International Conference on Intelligent Computing, Communication, Networking and Services, Varna, Bulgaria, 1 to 4 Sept. 2025 Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2025) Hybrid Event https://iccns-conference.org/2025/ Varna, Bulgaria, 1 to 4 Sept. 2025 Technically Co-Sponsored by IEEE Bulgarian Section *ICCNS 2025 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedented services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to the following tracks: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services - *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages. *Important Dates:* - *Paper submission deadline: April 20th 2025 * - Notification of acceptance: July 10th, 2025 - Camera-ready Submission: August 1st, 2025 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Thu Apr 10 06:52:36 2025 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Thu, 10 Apr 2025 10:52:36 +0000 Subject: Connectionists: Call for contribution and registration to the Systems Vision Science Symposium: Aug. 20-22, 2025, in Tuebingen, Germany Message-ID: <51bd8bd2202a49b3ba336d6a527f0611@tuebingen.mpg.de> Systems Vision Science Symposium Aug. 20-22, 2025 in T?bingen, Germany Our symposium takes place at the end of our Systems Vision Science Summer School Aug. 11-22, 2025. Our symposium's keynote speaker: Tadashi Isa. Invited speakers of the Systems Vision Science Summer School and Symposium include: Marco Bertamini, David Brainard, Peter Dayan, Andrea van Doorn, Roland Fleming, Pascal Fries, Wilson S Geisler, Robbe Goris, Sheng He, Tadashi Isa, Tomas Knapen, Jan Koenderink, Larry Maloney, Keith May, Marcello Rosa, Jonathan Victor, Li Zhaoping. -------------------------------- We invite you to participate in and contribute (in form of posters) to the symposium. Your contribution will be in the general topic of Systems Vision Science, which promotes the combination of computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes four poster sessions (two daytime sessions and two evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. -------------------------------- To contribute or participate, please fill out the appropriate form at https://summerschool.lizhaoping.org/contributions-for-symposium/ The deadline for symposium contribution is April 30, 2025. Registration for participation without contribution is open until venue capacity (100) is reached. https://summerschool.lizhaoping.org/ Please direct inquiries to svs.summerschool at tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Maria Pavlovic Vladislav Aksiotis Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org -- Systems Neuroscience mailing list: www.systemsneuroscience.eu To post, send email to systems-neuroscience at googlegroups.com --- You received this message because you are subscribed to the Google Groups "Systems Neuroscience" group. To unsubscribe from this group and stop receiving emails from it, send an email to systems-neuroscience+unsubscribe at googlegroups.com . To view this discussion visit https://groups.google.com/d/msgid/systems-neuroscience/a1e6117fefb14667abff354b36d95dd6%40tuebingen.mpg.de . -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From angela at angelayu.org Thu Apr 10 07:48:48 2025 From: angela at angelayu.org (Angela Yu) Date: Thu, 10 Apr 2025 13:48:48 +0200 Subject: Connectionists: PhD & Postdoc Positions Available in Cognitive Science & AI Message-ID: Prof. Angela Yu's "Computational Modeling of Intelligent Systems" Group, TU Darmstadt After 14 years as faculty at the University of California San Diego, Prof. Angela Yu joined TU Darmstadt as an Alexander von Humboldt AI Professor in 2023. Multiple PhD and postdoctoral positions are immediately available in her research group. Research Focus Prof. Yu's group investigates the intersection of natural and artificial intelligence using mathematically rigorous approaches to understand the representations and computations underlying intelligent behavior. The research particularly addresses challenges of inferential uncertainty and opportunities of volitional control. The group employs diverse methodological tools including Bayesian statistical modeling, control theory, reinforcement learning, and information theory to develop theoretical frameworks explaining key aspects of cognition: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions. Current Research Questions How is socio-emotional intelligence similar or different from cognitive intelligence? How can AI be taught socio-emotional intelligence? How are artificial intelligence (e.g. as demonstrated by large language models) and natural intelligence (e.g. as measured by IQ tests) similar or different in their underlying representation or computations? What roles do intrinsic motivations such as curiosity and representational efficiency play in intelligent systems? How can insights about artificial intelligence improve the understanding and augmentation of human intelligence? Are capacity limitations with respect to attention and working memory features or bugs in the brain? How can AI systems be enhanced by attention or WM? How does the brain achieve computational efficiency and efficacy with little labeled data and energetic needs? Academic Environment Prof. Yu brings extensive expertise in computational neuroscience and cognitive science, with substantial experience in computational modeling and cross-disciplinary collaborations. Her research enhances the Centre for Cognitive Science at TU Darmstadt and hessian.AI (the Centre for Artificial Intelligence of Hesse). Group members will have opportunities to collaborate with leading researchers across cognitive science, AI, neuroscience, and related fields not only in Darmstadt but also in nearby research hubs (Frankfurt, Mainz, Marburg, Gie?en, Heidelberg, T?bingen). Position Details Start date: flexible (immediately available) Compensation: Highly competitive with U.S. and European standards, based on experience and expertise Language requirements: English fluency required; German proficiency not necessary Location: Darmstadt, an international city with a diverse academic community Application Process Interested candidates should email the following to Prof. Yu (angela at angelayu.org ) and her secretary (Ms. Anita Schilz (anita.schilz at tu-darmstadt.de ) CV Undergraduate and master's transcripts (unofficial versions acceptable) Contact information for 2-4 references Research statement explaining specifically why you and Prof. Yu's research group would be a good mutual fit -------------------------------------------------------------------------------- Prof. Dr. Angela Yu Alexander v. Humboldt AI Professor Centre of Cognitive Science & Dept. of Computer Science Technical University of Darmstadt Hessian Center for AI (Hessian.ai) https://www.psychologie.tu-darmstadt.de/intelligent-systems -------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From tina.liu at georgetown.edu Fri Apr 11 08:44:43 2025 From: tina.liu at georgetown.edu (Tina Liu) Date: Fri, 11 Apr 2025 08:44:43 -0400 Subject: Connectionists: Postdoc in Visual Plasticity, Georgetown University Medical Center Message-ID: A postdoc position is available in the Visual Perception and Plasticity (VPP) lab , led by Dr. Tina Liu, in the Department of Neurology at Georgetown University Medical Center. The VPP lab studies neuroplasticity in both healthy and clinical populations across the lifespan, with a focus on vision. The postdoctoral researcher will play a key role in studies that integrate psychophysics/visual behavior, eye tracking, functional and structural MRI, transcranial electrical stimulation, and computational modeling. Georgetown University has a vibrant neuroscience community with over fifty labs participating in the Interdisciplinary Program in Neuroscience and several relevant research centers, including Center for Brain Plasticity and Recovery and Center for Neuroengineering . The ideal candidate will hold a PhD in Cognitive Neuroscience, Psychology, Computer Science, Engineering, or a related field, with a strong theoretical and technical background in vision research. Proficiency in programming (MATLAB or Python) and experience in human neuroscience research are required. The position is currently open, and applications will be reviewed on a rolling basis until the position is filled. The initial appointment is for two years, with the possibility of renewal. Interested candidates should submit a CV, a brief (1-page) cover letter detailing relevant research skills, interests and experience, along with names and contact information of three academic references via Interfolio ( https://apply.interfolio.com/166277). Questions about the position can be directed to Tina Liu ( tina.liu at georgetown.edu). If you?ll be at the Vision Sciences Society (VSS) 2025 meeting, you're also welcome to reach out and set up a time to chat in person. -- Tong (Tina) Liu, Ph.D. Assistant Professor Department of Neurology Georgetown University Medical Center Director, Visual Perception and Plasticity Lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Fri Apr 11 09:59:54 2025 From: vladan at temple.edu (Vladan Radosavljevic) Date: Fri, 11 Apr 2025 13:59:54 +0000 Subject: Connectionists: CfP - AdKDD @ KDD 2025 Message-ID: Call for Workshop Papers The 19th Edition of AdKDD - AdKDD 2025 in conjunction with The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) Toronto, Canada, August 3rd - 7th, 2025 http://www.adkdd.org As of the second quarter of 2024, the worldwide internet user spent more than 6.5 hours daily across all devices interacting with online content almost entirely sponsored by advertisements. At almost $700B global market size in 2024, and expected to reach $870B by 2027, digital advertising has already surpassed traditional ads in global spending and continues to grow. Digital advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads connect us to opportunities to enrich our lives and creep us out when done badly. Recently at the forefront of political battles between governments, large multinational corporations, and consumers, digital advertising remains a dynamic industry and research area. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving from simple rule-based ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences within native, video, and display formats on mobile devices, connected TV, and audio?all utilizing data amassed from petabytes of stored user data collected increasingly through inferred identity providers. The increasing use of sequence models and the rise of Generative AI is spawning new directions such as the auto-generation of ad creatives or pay-for-use shopping assistants. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of eighteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. ? Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and increasing application of Graph-based NN and Generative AI models, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising, such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data, and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following the KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be archived on the AdKDD website, and we are also working on having them published in official proceedings as well. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Important Deadlines (anywhere on Earth): Submission : May 25th, 2025 Decisions : June 9th, 2025 Camera-ready : June 15th, 2025 Video Submission: July 23rd, 2025 Workshop : August 6th, 2025 Submission Website: https://easychair.org/conferences/?conf=adkdd2025 Program Committee Chairs: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Kuang-chih Lee (Walmart) Linsey Pang (Salesforce) Suju Rajan (Amazon) Vladan Radosavljevic (Spotify) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Fri Apr 11 16:54:30 2025 From: axel.hutt at inria.fr (Axel Hutt) Date: Fri, 11 Apr 2025 22:54:30 +0200 (CEST) Subject: Connectionists: Summer School "Advanced tools for data analysis in Neuroscience" in Strasbourg Message-ID: <1562687278.2509008.1744404870180.JavaMail.zimbra@inria.fr> ************************************************************************************ Summer School "Advanced tools for data analysis in Neuroscience" ************************************************************************************ When: Sept 11 - 20 2025 Where: Strasbourg, France Part I: Introduction to Python Programming (Thursday, September 11 to Friday, September 12) Part II: School with lectures and student projects (Monday, September 15 to Saturday, September 20) Local Organising Committee: * Jyotika Bahuguna, LNCA, University of Strasbourg * Demian Battaglia, LNCA, University of Strasbourg * Romain Goutagny, CNRS, University of Strasbourg * Axel Hutt, INRIA, University of Strasbourg * Arvind Kumar, KTH Royal Institute of Technology, Sweden and USIAS, University of Strasbourg * Philippe Isope, CNRS, University of Strasbourg * Christophe Pouzat, IRMA, University of Strasbourg * Antoine Valera, CNRS, University of Strasbourg Faculty: * Charlotte Bichara, CNRS, University of Strasbourg * Matilde Cordero-Erausquin, CNRS, University of Strasbourg * Pascale Quilichini, INSERM, Aix-Marseille University * Aline Stephan, University of Strasbourg * Greg Stephens, University of Amsterdam * Yaroslav Sych, CPJ CNRS, university of Strasbourg Registration deadline is May 31. For more details and information how to apply, please see [ https://shorturl.at/3xbiZ | shorturl.at/3xbiZ ] . -------------- next part -------------- An HTML attachment was scrubbed... URL: From a0091624 at gmail.com Fri Apr 11 10:48:37 2025 From: a0091624 at gmail.com (Mengmi Zhang) Date: Fri, 11 Apr 2025 22:48:37 +0800 Subject: Connectionists: =?utf-8?q?Call_for_Submissions_=E2=80=93_MODVIS_S?= =?utf-8?q?pecial_Issue_in_Vision_Research?= Message-ID: Dear colleagues, We would like to warmly invite you to consider submitting a paper to the second annual MODVIS special issue in *Vision Research*, focused on *mathematical and computational models in vision*. MODVIS and *Vision Research* welcome novel frameworks and approaches spanning human, biological, and artificial vision. The special issue aims to highlight cutting-edge work presented at MODVIS and beyond, showcasing the exciting breadth and depth of our field. You may find more information about the special issue here: ? https://www.sciencedirect.com/special-issue/321220/modvis-2025 Please feel free to share this with others who might be interested. We look forward to your contributions! Best regards, Mengmi Zhang *on behalf of the entire guest editor team: James Elder, Tim Oleskiw, and Zygmunt Pizlo* Nanyang assistant professor and PI of Deep NeuroCognition Lab College of Computing and Data Science Nanyang Technological University (NTU), Singapore CFAR and I2R @ Agency for Science, Technology and Research (A*STAR) Lab website: https://a0091624.wixsite.com/deepneurocognition-1 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbjerva at cs.aau.dk Sat Apr 12 05:01:44 2025 From: jbjerva at cs.aau.dk (Johannes Bjerva) Date: Sat, 12 Apr 2025 09:01:44 +0000 Subject: Connectionists: 4 PhD positions in NLP / ML / AI Security / Cybersecurity in Copenhagen Message-ID: ? PhD Positions in AI Security ? Aalborg University (Copenhagen) We are excited to announce four fully funded PhD positions at the AI:DEFENCE Lab at Aalborg University. Our lab explores new synergies between Natural Language Processing (NLP) and Cybersecurity, with the goal of developing safe, robust, and trustworthy AI systems. Research topics include: * Security and safety in LLMs * Adversarial robustness and alignment * Federated learning and privacy-preserving AI * Autonomous cyber defense using multi-agent systems and reinforcement learning We welcome applicants with strong backgrounds in NLP, machine learning, or cybersecurity. The lab is based in Copenhagen, and the positions start August 2025. ? Deadline: 28 April 2025 ? More info and application: https://www.stillinger.aau.dk/vis-stilling/vacancyId/1219578 Feel free to share widely or reach out with any questions! Johannes Bjerva Professor | Natural Language Processing | Department of Computer Science Head of Section for AAU CS-CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers V?nge 15, 2450 Copenhagen, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Mon Apr 14 05:57:09 2025 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 14 Apr 2025 11:57:09 +0200 Subject: Connectionists: Nencki Open Lab Bonsai Online Workshop Series Message-ID: Hello! We are happy to announce a new series of online Bonsai workshops! Modern behavioral neuroscience experiments require us to synchronize multiple data streams, precisely deliver stimuli, and ? quite often ? do everything in a closed-loop setting. The fact that different devices use different software doesn?t make this task any easier. One of the best ? and open ? solutions to these challenges is *Bonsai*, a reactive programming language that allows you to collect data from multiple systems ? from calcium imaging and sound recordings to sensors and control of output devices such as feeders, motors, or stimulus delivery systems. It is easy to learn, easy to implement, and robust. We will run the workshop in three parts: *Part I* ? where we will introduce the basic logic of Bonsai, cover loading and saving data, working with cameras to track animals, and the basics of closed-loop experiments. *Part II* ? where we will show you more advanced aspects of Bonsai: working with behavioral subjects, combining different data streams, and using the BonVision library to generate visual stimuli. *Part III* ? where we will cover using Arduino alongside Bonsai to control experimental equipment and save data from your sensors. The first workshop ? *Introduction to Bonsai* ? will take place on *April 25th, 9:30 AM ? 11:30 AM CET*. You can find the application form here: https://nenckiopenlab.org/bonsai-online/. The fee for each workshop is *EUR 23*. *Requirements:* Windows computer, webcam Best, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From samarasinghe at ini.rub.de Mon Apr 14 07:27:40 2025 From: samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Mon, 14 Apr 2025 13:27:40 +0200 Subject: Connectionists: Generative Episodic Memories 2025 - Registration deadline 30.04.2025 Message-ID: *Registration deadline for GEM 2025: 30.04.2025 * GEM 2025 will be held at the Ruhr University Bochum from 2nd to 4th June 2025. This conference cuts across subject boundaries and provides a platform for founding interdisciplinary collaborations in the area of episodic memory research. We have an excellent line up of speakers from the areas of computational neuroscience, philosophy of mind and psychology. Thanks to generous funding through the research consortium "FOR 2812 - Constructing scenarios of the past" this meeting has no registration fees. Our program is available at https://www.conftool.net/gem2025/sessions.php *Keynote speakers: * Ali Boyle (LSE); Neil Burgess (UCL); Iris Engelhard (U. Utrecht); Johannes Mahr (York U.); Jeremy Manning (Dartmouth) *Registration:*/**/https://www.conftool.net/gem2025 For more information please visit https://for2812.rub.de or contact Vinita Samarasinghe at for2812 at rub.de/* */ Follow us on bluesky @for2812.bsky.social/* */ Kind regards, Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Mobile: +49 (0)1512 7278698 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From tpmworkshop2025 at gmail.com Mon Apr 14 15:25:21 2025 From: tpmworkshop2025 at gmail.com (TPM 2025) Date: Mon, 14 Apr 2025 15:25:21 -0400 Subject: Connectionists: [CFP] The 8th Workshop on Tractable Probabilistic Modeling at UAI 2025 Message-ID: ============================================================================= The 8th Workshop on Tractable Probabilistic Modeling at UAI 2025 July 25th, 2025 @ Rio de Janeiro, Brazil https://tractable-probabilistic-modeling.github.io/tpm2025/ ============================================================================= Dear All, We are writing to invite you to contribute to the UAI 2025 Workshop on Tractable Probabilistic Modeling: >From Logic to Probabilities and Back to be held in Rio de Janeiro, Brazil, on July 25th, 2025. Important Dates - Submission Deadline: May 23th, 2025 AoE - Expected Notification of Acceptance: June 18th, 2025 AoE - Workshop Date: July 15th, 2025 Overview Deploying AI and ML systems to assist decision-making in real-world and safety-critical scenarios, requires different forms of complex reasoning under uncertainty. These scenarios include applications in healthcare and finance, as well as when certifying the fairness, robustness and privacy of ML systems. In all these cases, reasoning needs to be reliable and efficient and flexible enough to deal with constraints and background knowledge. The now consolidated field of tractable probabilistic models (TPMs) offers a very appealing approach as TPMs allow for exact inference or come with approximation guarantees, thus providing reliability while still allowing for efficient reasoning for a wide range of tasks, by design. Furthermore, many TPMs provide a natural way to represent logical constraints and principled ways to incorporate them into larger ML systems. The spectrum of TPMs consists of a wide variety of techniques including models with tractable likelihoods (e.g., normalizing flows and autoregressive models), tractable marginals (e.g., bounded-treewidth models and determinantal point processes), and more complex tractable reasoning tasks (e.g., probabilistic and logic circuits, tensor networks and tensor factorizations ). This new edition of the Tractable Probabilistic Modeling workshop focuses on scaling and providing guarantees when used for probabilistic and logical reasoning, e.g., in neuro-symbolic AI where agents have to model both calibrated uncertainties and satisfy given background knowledge while being efficient. We also welcome contributions around the TPM spectrum that consider only one of the two aspects, and hope to bring the two communities together to advance their respective fields. Topics of interest Topics of interest include, but are not limited to: - New tractable representations in logical, continuous, and hybrid domains - Learning algorithms for TPMs - Theoretical and empirical analysis of TPMs - Connections between TPM classes - TPMs for responsible, robust, and explainable AI - Approximate inference algorithms with guarantees - Successful applications of TPMs to real-world problems,with a special focus on NeSy AI Submission Instructions Original papers and retrospective papers are required to follow the style guidelines of UAI. Submitted papers should be up to 4 pages long, excluding references. Already accepted papers can be submitted in the format of the venue they have been accepted to. Supplementary material can be put in the same pdf paper (after references); it is entirely up to the reviewers to decide whether they wish to consult this additional material. All submissions must be electronic (through the link below), and must closely follow the formatting guidelines in the templates, otherwise, they will automatically be rejected. Reviewing for TPM is single-blind; i.e., reviewers will know the authors? identity but authors won?t know the reviewers? identity. However, we recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as GitHub to share code and/or data. For any questions, please contact us at: tpmworkshop2025 at gmail.com Submission Link: https://openreview.net/group?id=auai.org/UAI/2025/Workshop/TPM We would greatly appreciate it if you could share this call with colleagues and researchers who might be interested in contributing. Best Regards, Organizers Adri?n Javaloy (University of Edinburgh, UK) Poorva Garg (University of California, Los Angeles, USA) Christoph Staudt (Friedrich Schiller University Jena, Germany) John Leland (Arizona State University, USA) Lennert De Smet (KU Leuven, Belgium) Lingyun Yao (Aalto University, Finland) Zhe Zeng (New York University, USA) Antonio Vergari (University of Edinburgh, UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From yj.choi at asu.edu Mon Apr 14 10:44:03 2025 From: yj.choi at asu.edu (YooJung Choi) Date: Mon, 14 Apr 2025 07:44:03 -0700 Subject: Connectionists: [Call for Papers] IJCAI 2025 Workshop on User-Aligned Assessment of Adaptive AI Systems Message-ID: [Apologies for cross-posting] IJCAI 2025 Workshop on User-Aligned Assessment of Adaptive AI Systems Montreal, QC, Canada | August 16-18, 2025 Workshop Website Although there is a growing need for independent assessment and regulation of AI systems, broad questions remain on the processes and technical approaches that would be required to conceptualize, express, manage, assess, and enforce such regulations for adaptive AI systems. This workshop addresses research gaps in assessing the compliance of adaptive AI systems (systems capable of planning/learning) in the presence of post-deployment changes in requirements, in user-specific objectives, in deployment environments, and in the AI systems themselves. These research problems go beyond the classical notions of verification and validation, where operational requirements and system specifications are available a priori. In contrast, adaptive AI systems such as household robots are expected to be designed to adapt to day-to-day changes in the requirements (which can be user-provided), environments, and as a result of system updates and learning. The workshop will feature invited talks by researchers from AI and formal methods, as well as talks on contributed papers. Topics of interest include: - Assessment of AI system capabilities. - Algorithmic paradigms for assessment of safety and/or compliance of AI systems with evolving regulations. - Learning predictive models of agent capabilities. - Self-assessment and monitoring. - Differential assessment of AI systems following system updates or learning. - Assessment of black-box AI systems. - Types of assessment frameworks and ecosystems. - Specification languages and representations for specifying requirements on AI systems. - Assessment of LLM-based agents. - Specification and assessment of compliance w.r.t. ethics/ethical properties. - Regulation, management, and enforcement of AI assessment paradigms. INVITED SPEAKERS (TENTATIVE) Chuchu Fan , Massachusetts Institute of Technology David Krueger , Mila and University of Montreal Michael L. Littman , Brown University Ruqi Zhang , Purdue University WORKSHOP FORMAT The workshop will feature invited talks, a selected set of contributed talks, and discussions. The workshop will be in-person and is scheduled for one day. IJCAI 2025 will be an in-person event this year, and the workshop will follow the same format as the conference. SUBMISSION INSTRUCTIONS Submissions can describe either work in progress or mature work that has already been published at another research venue. We also welcome ?highlights? papers summarizing and highlighting results from multiple recent papers by the authors. Submissions of papers being reviewed at other venues (NeurIPS, CoRL, ECAI, KR, etc.) are welcome since AIA 2025 is a non-archival venue and we will not require a transfer of copyright. If such papers are currently under blind review, please anonymize the submission. Submissions should use the IJCAI 2025 style . Papers under review at other venues can use the style file of that venue, but the camera-ready versions of accepted papers will be required in the IJCAI 2025 format by the camera-ready deadline. The papers should adhere to the IJCAI Code of Conduct for the Authors , the IJCAI Code of Ethics , and the NeurIPS 2025 policy on using LLMs . Three types of papers can be submitted: - New full technical papers with the length of up to 7 pages + references - New short papers with the length between 2 and 4 pages + references - Previously published papers in their original format (ICML, ICLR, R:SS, etc.). For these submissions, if the match with workshop topics is not immediately clear, we recommend editing the introduction to clarify relevance. Papers can be submitted via OpenReview at https://openreview.net/group?id=ijcai.org/IJCAI/2025/Workshop/AIA. Additional details are available on the workshop website . IMPORTANT DATES - Paper submission deadline: May 16, 2025 (AoE, 11:59 PM UTC-12) - Author notification: June 06, 2025 - Workshop date: August 16-18, 2025 (Exact date TBD) ORGANIZING COMMITTEE Pulkit Verma , Massachusetts Institute of Technology YooJung Choi , Arizona State University Georgios Fainekos , Toyota Motor North America R&D Siddharth Srivastava , Arizona State University Hazem Torfah , Chalmers University of Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Mon Apr 14 11:26:02 2025 From: phitzler at googlemail.com (Pascal Hitzler) Date: Mon, 14 Apr 2025 10:26:02 -0500 Subject: Connectionists: NeSy 2025 Call for Papers (June deadline) Message-ID: ** * We invite you to submit papers to the 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), held in Santa Cruz (CA, USA)from September 8-10, 2025. NeSy is the premier annual conference of the research community working on neurosymbolic AI, integrating symbolic and neural approaches to learning, reasoning, and problem-solving in AI. Accepted papers of NeSy 2025 will be published in a volume ofProceedings of Machine Learning Research (PMLR) . Website:https://2025.nesyconf.org Correspondence: organisers at nesyconf.org ===== Relevant Dates ===== Late paper (full and short) abstract deadline: May 30, 2025 Late paper (full and short) and extended abstract submission: June 6, 2025 Author notifications: July 3, 2025 Camera-ready papers: July 18, 2025 All deadlines are 11:59 PM, AoE. Please useOpenReview for submissions. ===== Subject Areas ===== The NeSy conference invites theoretical, experimental and applied submissions on the integration of neural networks and symbolic AI. This year, we have three Special Tracks: * Neurosymbolic Generative Models ; * Knowledge Graphs, Ontologies and Neurosymbolic AI ; * Neurosymbolic Methods for Trustworthy and Interpretable AI In addition, we invite papers on all topics related to Neurosymbolic AI, including but not limited to * Informed Machine Learning; * Addressing knowledge representation and reasoning tasks using neural networks; * Code generation and knowledge engineering with neural networks, including with LLMs; * Studying and improving LLM reasoning with Neurosymbolic methods; * Neurosymbolic cognitive modelling; * Languages for Neurosymbolic AI, including differentiable and probabilistic programming languages; * Embedding methods for structured information; * Circuits and knowledge compilation for Neurosymbolic AI; * Specification and verification of machine/deep learning systems; * Neurosymbolic methods for reinforcement learning, causality, structure learning, transfer, meta, multitask and continual learning, relational learning, graph neural networks; * Applications of Neurosymbolic AI, including in education, law, simulation, finance, healthcare, robotics, software engineering, systems engineering, bioinformatics, and visual intelligence; ===== Submission guidelines ===== * All submissions should be made before the deadline onour OpenReview page . * Please use the Latex templateavailable atthis link . * Both full and short paper submissions should be original pieces of work or position papers. They should not have been published elsewhere. We have a strict policy on double submissions. * Full and short papers will be in the conference proceedings of NeSy 2025, which will be published with theProceedings of Machine Learning Research (PMLR) . * Full papersubmissions should not exceed 10 pages, excluding references and supplementary materials. * Short paper and late short papersubmissions should not exceed 5 pages, excluding references and supplementary materials. * Extended abstractsshould provide an overview of relevant papers in neurosymbolic AI and should not exceed 2 pages. The original papers should be recently published pieces of work at top conferences (e.g, NeurIPS, ICML, ICLR, AAAI, IJCAI etc.) and journals such as (e.g., AIJ, JAIR, MLJ, IEEE TNNLS, NAI etc.). The conference will be held in-person, and authors of accepted papers are required to attend the conference physically to present their work. Please note that the late paper and extended abstract notification is rather close to the conference to allow for late-breaking results ? authors from outside the US need to make sure that they have enough time to obtain US visas. Reviewingwill be double-blind. After notification, reviews of accepted papers will be posted online onOpenReview along with the originally submitted version of the paper. Reviewers remain anonymous unless they opt in to them being named. Accepted paper authors will be invited to submit extended versionsof papers to a special issue of theNeurosymbolic Artificial Intelligence journal . All questions about submissions should be addressed to organisers at nesyconf.org. ===== Organizing Committee ===== organisers at nesyconf.org General/Local Chair: + Leilani H. Gilpin (UC Santa Cruz, Barcelona) Program Chairs: + Pascal Hitzler (Kansas State University) + Eleonora Giunchiglia (Imperial College London) + Emile van Krieken (University of Edinburgh) Neurosymbolic Generative Models Special Track Chairs: + Thiviyan Thanapalasingam (Sony AI) + Kareem Ahmed (University of California, Irvine) Neurosymbolic Methods for Trustworthy and Interpretable AI Special Track Chairs: + Abhilekha Dalal (Kansas State University) + Vaishak Belle (University of Edinburgh) Knowledge Graphs, Ontologies and Neurosymbolic AI Special Track Chairs: + Cogan Shimizu (Wright State University) + Claudia d'Amato (University of Bari) * -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A Kansas State Universityhttp://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From agaster at pme.duth.gr Mon Apr 14 12:58:19 2025 From: agaster at pme.duth.gr (Antonios Gasteratos) Date: Mon, 14 Apr 2025 19:58:19 +0300 Subject: Connectionists: 3nd CFP: 12th European Conference on Mobile Robots (ECMR) & Deadline extension Message-ID: ? NEW DEADLINE ? READ BELLOW ? 12th European Conference on Mobile Robots (ECMR 2025) Padova, Italy | 2?5 September 2025 ? New Paper Submission Deadline: May 4th, 2025 (AoE) ? https://ecmr2025.dei.unipd.it We are excited to invite submissions to the 12th European Conference on Mobile Robots (ECMR 2025). Following a successful journey from Radziejowice to Ancona, Freiburg, Mlini/Dubrovnik, ?rebro, Barcelona, Lincoln, Paris, Prague, Bonn, and Coimbra, the next edition will be held in Padova, Italy. This year, ECMR will focus on the cognitive capabilities of today?s and tomorrow?s mobile robots, with particular emphasis on cognition, perception, interaction, and AI-enhanced autonomy. We welcome contributions across all areas of mobile robotics?especially those that push the boundaries of autonomous and cognitive mobile systems. ? Deadline Extension: In response to numerous requests, the paper submission deadline has been extended to Sunday, May 4th, 2025 (AoE). We hope this provides authors with additional time to finalize their contributions. ? Topics of interest include, but are not limited to: ? Mobile Robot Design: Wheeled/Legged Systems, Biomimetic Robotics, UAVs, USVs, UUVs, Reconfigurable Robots ? Perception & Cognition: Semantic Mapping, Active/Interactive Perception, Scene Understanding, Memory-based Systems ? Learning: Cognitive & Reinforcement Learning, Imitation Learning, Sim2Real, Learning-based Control ? Cognitive Interaction: Human-Robot Teaming, Shared Autonomy, Natural Language Interaction, Safe HRI ? Planning & Control: Cognitive Planning, Adaptive Navigation, Robust/Resilient Control, Learning-Based Planning ? Distributed Systems: Multi-Robot Systems, Swarms, Task Allocation, Robot Coordination ? Applications: Cognitive Service Robots, Industrial/Field Robotics, Healthcare, Surveillance, Social Robotics Accepted papers (oral or poster) will be included in IEEE Xplore. A special issue of Robotics and Autonomous Systems will follow the conference, with invitations extended to selected contributions. ? Keynote Speakers: ? Yannis Aloimonos, University of Maryland ? Gordon Cheng, Technical University of Munich ? Silvia Rossi, University of Naples Federico II ? Submit your papers via EasyChair: Details and submission link available at https://ecmr2025.dei.unipd.it We look forward to your contributions and to welcoming you to Padova for an inspiring ECMR 2025 General Chair: Nicola Bellotto, University of Padova, Italy Program Chair: Antonios Gasteratos, Democritus University of Thrace, Greece =================================================== Prof. Antonios Gasteratos, Fellow IET Democritus University of Thrace Dean: School of Engineering Director: Laboratory of Robotics and Automation Building I, Office 204 Vas. Sophias 12, GR-671 32 XANTHI, GREECE Phone: +302541079359 http://robotics.pme.duth.gr/ http://robotics.pme.duth.gr/antonis/ =================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Apr 15 02:54:26 2025 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 15 Apr 2025 08:54:26 +0200 Subject: Connectionists: =?utf-8?q?Free_Proceedings_Access_=E2=80=93_Submi?= =?utf-8?q?t_to_COMPLEX_NETWORKS_2025_in_Binghamton=2C_NY=2CUSA_!?= Message-ID: Last December in Istanbul, over 200 researchers came together to share the latest in *network science, graph learning, and complex systems* at *COMPLEX NETWORKS 2024*. ? We?re now offering you *free access* to the full Springer proceedings (Volumes 1?4), featuring high-impact contributions across disciplines: ? Access the proceedings (until May 31, 2025) ------------------------------ ? *Be part of what?s next.* Submit your work to *COMPLEX NETWORKS 2025*, held in *Binghamton, NY (USA)*, from *December 9?11, 2025*. ? *Important Dates* - Submission Deadline: *September 2, 2025* - Tutorials: *December 8, 2025* - Conference: *December 9?11, 2025* - Springer Proceedings Publication ? *Submission Options* - ? Full Papers (max 12 pages) ? Springer LNCS - ? Extended Abstracts (max 4 pages) ? Book of Abstracts with ISBN ? Selected papers will be invited to journals including: - *PLOS Complex Systems* - *Applied Network Science (Springer)* - *Advances in Complex Systems (World Scientific)* - *Entropy (MDPI)* - *Social Network Analysis and Mining (Springer)* ? Submit your paper ? More info We look forward to your contribution to this dynamic community! Best regards, *The COMPLEX NETWORKS 2025 Organizing Committee* ? hocine.cherifi at gmail.com | ? complexnetworks.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Tue Apr 15 06:30:14 2025 From: dftschool at ini.rub.de (DFT summer school) Date: Tue, 15 Apr 2025 12:30:14 +0200 Subject: Connectionists: Summer school "Neural Dynamics for Embodied Cognition 2025" In-Reply-To: References: Message-ID: Please forward this email to whoever you think might be interested. The application deadline is May 25th, 2025. Thanks, Raul Grieben, Minseok Kang and Stephan Sehring - - - DFT Summer School 2025 Bochum, Germany This year our summer school "Neural Dynamics for Embodied Cognition" will take place from the 25th to the 30th of August, 2025 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. The school combines tutorial lectures with hands-on project work. Participants will develop their own modeling project, which may connect to their ongoing doctoral or postdoctoral research. To apply for the summer school, please visit our webpage: https://dynamicfieldtheory.org/events/neuronal_dynamics_for_embodied_cognition_2025/ From sunzq at nju.edu.cn Tue Apr 15 05:22:46 2025 From: sunzq at nju.edu.cn (=?utf-8?B?5a2Z5rO9576k?=) Date: Tue, 15 Apr 2025 17:22:46 +0800 Subject: Connectionists: [CFP] 2nd Call for Research, In-use, and Resource Track Papers at ISWC 2025 (Abstract: May 6) Message-ID: 24th International Semantic Web Conference (ISWC 2025) Nara, Japan November 2-6,  2025 Follow us: Twitter/X: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/company/iswc/   Mastodon Social: https://mastodon.social/@iswc_conf Bsky: https://bsky.app/profile/iswc-conf.bsky.social  ISWC 2025 features multiple tracks - including Research, Resources, and In-Use, among others,  Hence, authors are kindly asked to check out the calls of each track to choose the one that best fits their contribution. ========================= Call for Research Track Papers The research track of ISWC 2025 solicits novel and significant research contributions addressing theoretical, analytical, and empirical aspects of the Semantic Web. We welcome work describing original and replicable research showing evidence of significant contribution to the Semantic Web. More details: https://iswc2025.semanticweb.org/#/calls/research   Research Track Chairs: Contact: iswc2025-research at easychair.org Daniel Garijo, Universidad Polit?cnica de Madrid, Spain Sabrina Kirrane, Vienna University of Economics and Business, Austria ======================== Call for Resource Track Papers The ISWC 2025 Resources Track aims to promote the sharing of resources that support, enable, or utilize semantic web research. We welcome descriptions of resources that leverage knowledge representation based on Semantic Web standards or other graph data models to improve the acquisition, processing, and sharing of data on the web. More details:  https://iswc2025.semanticweb.org/#/calls/resource  Resource Track Chairs: Contact:  iswc2025-resource at easychair.org Cogan Shimizu, Wright State University, US Angelo Salatino, KMi,The Open University, UK ======================= Call for In-use Track Papers The In-Use track seeks submissions describing applied research as well as software tools, systems, or architectures that benefit from the use of Semantic Web and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of the use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. More details: https://iswc2025.semanticweb.org/#/calls/in-use  In-Use Track Chairs: Contact: iswc2025-in-use at easychair.org Maribel Acosta Technical University of Munich, Germany Andrea Giovanni Nuzzolese CNR - Institute of Cognitive Sciences and Technologies, Italy =========================================== Important Dates: Abstract submission due May 6th, 2025 Full paper submission due May 13th, 2025 Rebuttal June 17th - 20th, 2025 Notifications July 17th, 2025 Camera ready papers due July 31st, 2025 Website: https://iswc2025.semanticweb.org/  Would you like to know about the host city, Nara? Check out this blog: https://iswc2025.semanticweb.org/#/blogs/host  -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.furnari at unict.it Tue Apr 15 11:26:32 2025 From: antonino.furnari at unict.it (Antonino Furnari) Date: Tue, 15 Apr 2025 15:26:32 +0000 Subject: Connectionists: [CFP] ICIAP 2025 - 23RD INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING - SECOND ROUND SUBMISSION DEADLINE EXTENDED TO 29th APRIL In-Reply-To: References: Message-ID: ICIAP 2025 - 23RD INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING - CALL FOR PAPERS ? DEADLINE EXTENDED TO 29th APRIL You are invited to submit papers to the 23rd International Conference on Image Analysis and Processing - ICIAP 2025, which will be held in Rome on 15th - 19th September 2025. https://www.iciap.org/ AIM AND SCOPE ICIAP 2025 (International Conference on Image Analysis and Processing) is the 23rd edition of a series of conferences organized every two years by CVPL, the Italian Member Society of the International Association for Pattern Recognition (IAPR). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and application aspects, with particular emphasis on the following topics: * Video Analysis and Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multiview Geometry and 3D Computer Vision * Image Analysis, Detection, and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics and Biometrics * Image Processing for Cultural Heritage * Robot and Vision * Brave New Ideas * AI and science * X-Realities * Embedded Vision The conference will be held in Rome, Italy on 15-19th September, 2025. The conference aims to serve as a stimulating discussion forum for researchers to meet, present their work, and exchange ideas, including oral and poster sessions, and offering invited keynote talks by distinguished speakers. The conference will also include satellite workshops and tutorials. IMPORTANT DATES Second round paper submission & notification: * Submission: 15th April 2025 extended to 29th April 2025 * Notification to Authors: 15 June 2025 Conference: * Main conference: 17th - 19th September 2025 * Workshop and Tutorials: 15th - 16th September 2025 SUBMISSION All submissions will be handled electronically via the conference?s CMT Website: https://cmt3.research.microsoft.com/ICIAPconf2025 Please find more information on author guidelines and templates here: https://sites.google.com/view/iciap25/calls/call-for-papers The maximum number of pages is 12 including references. Papers will be selected through a double-blind review process, taking into account originality, significance, clarity, soundness, relevance and technical contents. Each submission will be managed by an Area Chair and reviewed by at least three reviewers. Accepted papers will be included in the ICIAP 2025 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). INVITED SPEAKERS * Prof. Zeynep Akata, University of Tuebingen, Germany * Prof. Michael Bronstein, University of Oxford, United Kingdom * Prof. Francesco Locatello, ISTA, Austria * Dr. Vittorio Ferrari, Synthesia, United Kingdom ORGANIZERS General Chairs: * Emanuele Rodol?, Sapienza University of Rome * Iacopo Masi, Sapienza University of Rome * Fabio Galasso, Sapienza University of Rome Technical Program Chairs: * Marco Cristani, University of Verona, Italy * Paolo Soda, Universit? Campus Bio-Medico di Roma * Luisa Verdoliva, Universit? degli Studi di Napoli Federico II * Philippos Mordohai, Stevens Institute of Technology Workshop Chairs: * Giovanni Maria Farinella, Universit? di Catania, Italy * Silvia Zuffi, IMATI-CNR, Italy Tutorial Chairs: * Zorah Laehner, University of Siegen * Alessio Del Bue, Italian Institute of Technology Special Session Chair: * Cosimo Distante, Institute of Applied Sciences and Intelligent Systems, CNR, Italy Industrial Chairs: * Simone Scardapane, Sapienza University, Italy * Ignas Budvytis, University of Cambridge, UK Publicity and Social Media Chair: * Antonino Furnari, University of Catania, Italy Publication Chairs: * Danilo Avola, Sapienza University of Rome, Italy Web Chair: * Daniele Pannone, Sapienza University of Rome, Italy Local Arrangement Chairs: * Danilo Avola, Sapienza University of Rome * Daniele Pannone, Sapienza University of Rome * Daniele Trappolini, Sapienza University of Rome * Paolo Mandica, Sapienza University of Rome * Luca Scofano, Sapienza University of Rome * Antonio D'Orazio, Sapienza University of Rome CVPL Relation Chair: * Luigi Cinque, Sapienza University of Rome, Italy CONTACTS info at iciap.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From marius.bilasco at univ-lille.fr Tue Apr 15 10:39:08 2025 From: marius.bilasco at univ-lille.fr (Ioan Marius Bilasco) Date: Tue, 15 Apr 2025 16:39:08 +0200 Subject: Connectionists: CBMI 2025: Special Session on Understanding Human Behaviour, Emotions and their Reasons Message-ID: <7c4496e5-43ce-465c-b28a-f48b1cb00fa3@univ-lille.fr> Dear All, Apologies for cross-posting. Following the success of UHBER at CBMI 2024, we are organising special session again at CBMI 2025: *UHBER: Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons* This special session addresses the processing of all types of data related to understanding of human behaviour, emotion, and their reasons, such as current or past context. Understanding human behaviour and context may be beneficial for many services both online and in physical spaces, e.g., for workplaces, travel and leisure activities, for health support etc. In the context of multimedia retrieval, understanding human behaviour and emotions could help not only for multimedia indexing, but also to derive implicit (i.e., other than intentionally reported) human feedback regarding multimedia news, videos, advertisements, navigators, hotels, shopping items etc. and to improve multimedia retrieval. For example, probably a movie recommender system should not put tragic movie on top of recommended movies when a user is tired and stressed. Humans are good at understanding other humans, their emotions and reasons, and learning their tastes, skills and personality traits. Hence the interest of this session is, how to improve AI understanding of the same aspects? The topics include (but are not limited to) the following: * Use of various sensors for monitoring and understanding human behaviour, emotion / mental state / cognition, and context: video, audio, infrared, wearables, virtual (e.g., mobile device usage, computer usage) sensors etc. * Methods for information fusion, including information from various heterogeneous sources. * Methods to learn human traits and preferences from long term observations. * Methods to detect human implicit feedback from past and current observations. * Methods to assess task performance: skills, emotions, confusion, engagement in the task and/or context. * Methods to detect potential security and safety threats and risks. * Methods to adapt behavioural and emotional models to different end users and contexts without collecting a lot of labels from each user and/or for each context: transfer learning, semi-supervised learning, anomaly detection, one-shot learning etc. * How to collect data for training AI methods from various sources, e.g., internet, open data, field pilots etc. * Use of behavioural or emotional data to model humans and adapt services either online or in physical spaces. * Ethics and privacy issues in modelling human emotions, behaviour, context and reasons. *The conference proceedings will be published by IEEE*. All submitted papers must conform to theIEEE manuscript templates for conference proceedings and the instructions it provides. *Special session submissions can be up to 6 pages + references in IEEE format. The review process is single-blind, i.e. submissions do not need to be anonymized. Please consider the submission guidelines on the conference website:https://www.cbmi2025.org* ** *Submit your paper athttps://www.conftool.pro/cbmi2025* *And please remember to choose UHBER in the submission tool.* ** *Submission Deadline: 23 Apr 2025 (AoE), will be probably extended. Notification: 1 Jul 2025 (AoE) Camera-ready & Registration: 1 Aug 2025 (AoE)* *Conference: October 22-24 Dublin, Ireland* https://www.cbmi2025.org/cfp/special-sessions/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahmed.imprs at gmail.com Wed Apr 16 00:33:03 2025 From: ahmed.imprs at gmail.com (Ahmed El Hady) Date: Wed, 16 Apr 2025 06:33:03 +0200 Subject: Connectionists: Postdoctoral position in modelling and analysis of foraging behavioural and physiological data ( deadline 15th June 2025) Message-ID: <97c34d1c-d73a-152e-c736-ca90ae836af0@gmail.com> Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics or engineering. The candidate should show enthusiasm for analysing large scale data sets that include but not limited to: behavioural, neural and physiological data. Experience with machine learning techniques and animal tracking software programs is preferred but not required. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The Postdoc will be working as part of a recently funded Human Sciences Frontiers Program (HSFP) research grant ??Neurometabolic mechanisms underlying social foraging? in collaboration with the experimental groups of Robert Froemke (New York University) and Jee Hyun Choi (Korean Institute of Science and Technology). The project aims to understand neuro-metabolic mechanisms underlying social foraging. The PostDoc will have the opportunity to travel to the experimental collaborators in New York and Seoul. The Integrative Biophysics group at the CASCB led by Dr. Ahmed El Hady is focused on theoretical and computational understanding of mechanisms underlying foraging. The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/10/2025 and deadline for application is 15/06/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/81733e4ecac1d2fc0a665bdc65478a78592b17370 For questions about the position , please do not hesitate to contact me via email : ahmed.el-hady at uni-konstanz.de All the best regards, Ahmed El Hady Dr. Ahmed El Hady Research Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universit?tsstra?e 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742 -------------- next part -------------- An HTML attachment was scrubbed... URL: From friedhelm.schwenker at uni-ulm.de Tue Apr 15 11:28:59 2025 From: friedhelm.schwenker at uni-ulm.de (Friedhelm Schwenker) Date: Tue, 15 Apr 2025 17:28:59 +0200 Subject: Connectionists: Professor (W3) of Machine Learning at Ulm University Message-ID: *The Faculty of Engineering, Computer Science and Psychology at Ulm University (Germany),* *Institute of Neural Information Processing, is seeking to fill the position, starting as soon as possible, of* Professor (W3) of Machine Learning at the Institute of Neural Information Processing Please find more details at https://stellenangebote.uni-ulm.de/jobposting/69ccf89615183cae538094ff0314efd87bf03ed5 -- Prof. Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker at uni-ulm.de www:https://www.uni-ulm.de/in/neuroinformatik/institut/hidden/f-schwenker/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Tue Apr 15 17:33:25 2025 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 15 Apr 2025 21:33:25 +0000 Subject: Connectionists: NEST Conference 2025 - Extension of abstract submission deadline Message-ID: Dear colleagues, The abstract submission deadline for the NEST Conference 2025 has been extended to 30 April. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. Take the opportunity to advance your skills in using NEST at our hands-on workshops! This year's conference will again take place as a virtual conference on Tuesday/Wednesday 17/18 June 2025. We are delighted to welcome * Marja-Leena Linne, Tampere University, Finland * Daniela Gandolfi, Universit? degli Studi di Modena e Reggio Emilia, Italy * Barna Zajzon, Forschungszentrum J?lich, Germany * Bernhard Vogginger, TU Dresden, Germany as keynote speakers at the conference. For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference Important dates 25 April 2025 - Deadline for NEST Initiative membership applications eligible for fee reduction 30 April 2025 - Extended deadline for submission of contributions 09 May 2025 - Notification of acceptance 11 June 2025 - Registration deadline 17 June 2025 - NEST Conference 2025 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Head, Department of Data Science Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Wed Apr 16 03:56:47 2025 From: announce at ucy.ac.cy (Announce) Date: Wed, 16 Apr 2025 07:56:47 +0000 Subject: Connectionists: The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026): First Call for Papers and Workshop & Tutorial Proposals Message-ID: <0V5HSGYU-GV6I-0OP-OOM0-00XRIX0JVGWC@ucy.ac.cy> *** First Call for Papers and Workshop & Tutorial Proposals *** The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026) 17-20 March, 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://conf.researchr.org/home/saner-2026 The 33rd edition of the IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2026) invites high-quality submissions of papers describing original and unpublished research results. We encourage submissions describing various types of research, including empirical, theoretical, and tool-oriented studies. TOPICS OF INTEREST The topics of the submissions should be of direct interest to the software analysis, evolution, and reengineering community (including researchers, practitioners, educators). Topics of interest include, but are not limited to: ? AI for Software Engineering and Software Engineering for AI (see note below); ? Generative AI and LLM applied to analysis, evolution and reengineering of software; ? Software Analysis, Parsing, and Fact Extraction; ? Software Maintenance and Evolution, Evolution Analysis; ? Software Reverse Engineering and Reengineering; ? Program Comprehension; ? Software Architecture Recovery and Reverse Architecting; ? Program Transformation and Refactoring; ? Mining Software Repositories and Software Analytics; ? Software Visualization; ? Software Reconstruction and Migration; ? Program Repair; ? Software Release Engineering, Continuous Integration and Delivery; ? Software Tools for Software Evolution and Maintenance; ? Human factors and legal aspects in the context of Software Analysis, Evolution and Reengineering ? Empirical studies on all the above topics; ? Education related to all of the above topics. Papers involving AI must either (a) concern a software system as a whole, or a subsystem, and not simply its AI or ML component, (b) consider software engineering artifacts, (c) target a novel context for a software engineering task, or (d) study human, social, socio-technical, and organizational aspects in the development of AI-intensive software systems (see also ?Scoping Software Engineering for AI: The TSE Perspective?, 10.1109/TSE.2024.3470368). Other papers may fit more AI- or ML-specialized venues instead. SUBMISSION INSTRUCTIONS All submitted papers will undergo a rigorous peer review process and will be selected based on originality, quality, soundness, and relevance. Submissions must be original, not published, accepted, or under review elsewhere. All submissions must be in PDF format and conform to the IEEE Conference Proceedings Formatting Guidelines. ? Research Track: Submissions should not exceed 12 pages (with the last 2 pages reserved for references only). ? Industrial Papers Track: Submissions should not exceed 12 pages (with the last 2 pages reserved for references only) for full papers; talk proposals should not exceed 2 pages. ? Short Papers and Posters Track: Submissions should not exceed 6 pages (including all text, figures, references, and appendices); posters should not exceed 2 pages. ? Early Research Achievement (ERA) Track: Submissions should not exceed 6 pages (with the last 1 page reserved for references only). ? Reproducibility Studies and Negative Results (RENE) Track: Submissions should not exceed 5 pages for appendices to conference submissions or previous work and should not exceed 12 pages for new reproducibility studies and new descriptions of negative results (with the last 2 pages reserved for references only). ? Tool Demo Track: Submissions should not exceed 5 pages. ? Journal-First Papers Track: Submissions should not exceed 1 page (for the main submission). ? Registered Report Track: Submissions should not exceed 7 pages (with the last 1 page reserved for references only). Important Note: Research, Short Papers and Posters, ERA, and RENE Tracks follow a double- anonymous review process. SPECIAL JOURNAL ISSUE Authors of selected research papers accepted at SANER 2026 will be invited to submit revised, extended versions of their manuscripts for a special issue featured by Springer?s Empirical Software Engineering Journal (EMSE). The best papers from the conference will be awarded. CALL FOR WORKSHOPS In SANER 2026, we solicit proposals for workshops to be held in conjunction with the main conference. Workshops can be full or half-day and should highlight a specific topic of interest related to software analysis, evolution, and reengineering. We encourage workshop organizers to include activities that provide their participants with a true workshop experience. All workshops will tentatively be scheduled for the first day of the conference (March 17, 2026), the day before the main conference. Should you be interested in joining SANER, please keep the deadlines below in mind. Submission Instructions Proposal submission: By 20th August, 2025 AoE, the workshop proposal (in the form of call for papers) should be submitted to the workshops EasyChair page: https://easychair.org/my/conference?conf=saner2026 . The submission could be a PDF file (no more than two pages) or a public link to a call for papers webpage. The call for papers should include: ? a workshop title, ? a description of the workshop topic and scope, ? an indication of whether the workshop will take ? day or a full day, ? a link to the workshop website, ? and the contact information. The website should be live and include (at least) the following information: the topic of the workshop, its scope, list of topics of interest, names of the organizing committee members and their affiliations, types of submissions and the important dates as follows (all dates are 23:59h AoE): ? Abstract Submission: 12 December, 2025 ? Paper Submission: 18 December, 2025 ? Notification: 14 January, 2026 ? Camera-Ready: 20 January, 2026 Evaluation Criteria The proposals will be evaluated by the workshops track chairs based on the novelty of the workshop topic, its importance to the field, as well as the composition of the organizing team. Workshop PC and Submission System No later than mid of September 2025, the workshop PC should have been finalized and the paper submission system should be live. Workshop organizers are free to select EasyChair, HotCRP or any other commonly used paper submission system. The workshop proceedings will be included in a separate section of the conference?s proceedings ? the companion proceedings. CALL FOR TUTORIALS The SANER 2026 Workshops & Tutorials track invites practitioners and researchers to deliver insightful tutorials on various topics related to Software Analysis, Evolution, and Reengineering. These tutorials aim to expand the community?s understanding of advanced software engineering topics, valuable tools and technologies, as well as research methodologies. We are soliciting abstracts with the intention of presenting a tutorial in the following categories: 1 - Technical Tutorial: Speakers present the use of a tool or technology that aids the developers in Software Analysis, Evolution, and Reengineering. 2 - Research problem: Speakers provide a general view of the state-of-the-art for a topic related to Software Analysis, Evolution, and Reengineering and further present details of a specific research problem that still needs to be addressed by the community. Submission Instructions The proposal should not exceed one page (with up to one additional page for references) and should outline the talk. Furthermore, it should follow the IEEE Conference Proceedings Formatting Guidelines (title: 24pt, text: 10pt; LaTeX users: \documentclass[10pt,conference] {IEEEtran}). All proposals must be submitted in PDF format through https://easychair.org/my/conference?conf=saner2026. The submission should include: ? Title, ? Type of proposal (Technical Tutorial or Research problem), ? Names of presenters and their affiliation, ? Duration, ? Outline of the tutorial talk, ? Target audience (e.g., PhD students, early career researchers, all researchers, practitioners), ? Learning objectives, ? Details on any hands-on activities (e.g., participants using a tool or completing exercises) and the necessary computer specifications, ? Preferred dates (please note that date preferences cannot be guaranteed). Evaluation Criteria ? Overall quality of the proposal, ? Relevance to the SANER audience, ? Level of interest they believe the tutorial will attract, ? Experience of the presenters, ? Avoidance of duplication, in case of multiple tutorials on the same topic. SUBMISSION LINK https://easychair.org/my/conference?conf=saner2026 IMPORTANT DATES (All deadlines are 23:59h "Anywhere on Earth" time) Research Track ? Abstract Submission Deadline: 9 October, 2025 ? Paper Submission Deadline: 16 October, 2025 ? Notifications: 9 December, 2025 ? Camera-Ready: 9 January, 2026 Industrial Track ? Abstract Submission Deadline: 10 November, 2025 ? Paper Submission Deadline: 17 November, 2025 ? Notifications: 19 December, 2025 ? Camera-Ready: 14 January, 2026 Short Papers and Posters Track ? Abstract Submission Deadline: 10 November, 2025 ? Paper Submission Deadline: 17 November, 2025 ? Notifications: 19 December, 2025 ? Camera-Ready: 14 January, 2026 Early Research Achievement (ERA) Track ? Abstract Submission Deadline: 10 November, 2025 ? Paper Submission Deadline: 17 November, 2025 ? Notifications: 19 December, 2025 ? Camera-Ready: 14 January, 2026 Reproducibility Studies and Negative Results (RENE) Track ? Abstract Submission Deadline: 10 November, 2025 ? Paper Submission Deadline: 17 November, 2025 ? Notifications: 19 December, 2025 ? Camera-Ready: 14 January, 2026 Tool Demo Track ? Paper Submission Deadline: 17 November, 2025 ? Notifications: 19 December, 2025 ? Camera-Ready: 14 January, 2026 Journal-First Track ? Paper Submission Deadline: 8 December, 2025 ? Notifications: 22 December, 2025 Registered Report Track ? Submission Deadline: 7 November, 2025 ? First Notification (Reviews): 5 December, 2025 ? Second Round Submission (Rebuttal & Revised Report): 12 December, 2025 ? Final Notification (Stage 1): 22 December, 2025 ? Accepted Report to arXiv Submission: 9 January, 2026 Workshop & Tutorial Proposals ? Workshop Proposals Submissions: 20 August, 2025 ? Workshop Proposals Notification: 27 August, 2025 ? Tutorial Proposals Submissions: 12 January, 2026 ? Tutorial Proposals Notification: 12 January, 2026 ? Tutorial Camera-Ready Version: 16 January, 2026 ORGANISING COMMITTEE General Chair ? Georgia Kapitsaki, University of Cyprus, Cyprus Local Organizing Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Eunjong Choi, Kyoto Institute of Technology, Japan ? Matthias Galster, University of Canterbury, New Zealand Industrial Chairs ? Anne Etien, University of Lille, France ? Tushar Sharma, Dalhousie University, Canada ERA Chairs ? Mairieli Wessel, Radboud University, Netherlands ? Christoph Treude, Singapore Management University, Singapore Short Papers and Posters Chairs ? Eleni Constantinou, University of Cyprus, Cyprus ? Sandro Schulze, Anhalt University of Applied Sciences, Germany RENE Chairs ? Apostolos Ampatzoglou, University of Macedonia, Greece ? Sebastian Proksch, Delft University of Technology, Netherlands Workshop/Tutorial Chairs ? Marcelo De Almeida Maia, Federal University of Uberlandia, Brazil ? Juri Di Rocco, University of L'Aquila, Italy Journal-First Chairs ? Luigi Lavazza, Universit? degli Studi dell'Insubria, Italy ? Yuxia Zhang, Beijing Institute of Technology, China Registered Report Chairs ? Sherlock A. Licorish, University of Otago, New Zealand ? Sebastiano Panichella, Zurich University of Applied Science, Switzerland Tool Demo Chairs ? Maliheh Izadi, Delft University of Technology, Netherlands ? Roberto Verdecchia, University of Florence, Italy Diversity, Inclusion, and Newcomers Chairs ? Catia Trubiani, Gran Sasso Science Institute, Italy ? Aldeida Aleti, Monash University, Australia Proceedings Chair ? Raula Gaikovina Kula, Osaka University, Japan Most Influential Paper Award Chairs ? Alexander Chatzigeorgiou, University of Macedonia, Greece ? Michele Lanza, Software Institute - USI, Lugano, Switzerland Sustainability Chair ? Maria Papoutsoglou, University of Cyprus, Cyprus Financial Chair ? Constantinos Pattichis, University of Cyprus, Cyprus Publicity and Social Media Chair ? Erina Makihara, Ritsumeikan University, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Wed Apr 16 06:44:38 2025 From: stm at socio.org.uk (STM STMet 2024) Date: Wed, 16 Apr 2025 16:14:38 +0530 (IST) Subject: Connectionists: Digital Data Processing 2025 Message-ID: <955753334.124520.1744800278774@ap1.myprofessionalmail.com> Fifth International Conference on Digital Data Processing (DDP 2025) University of Bedfordshire. Luton. (Near London) UK. August 18-20, 2025 (www.socio.org.uk/ddp) (IEEE Publication) As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processi! ng needs. Many studies focus on developing models and systems for analysing large datasets. Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Synthetic data Data synthesis Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning impact on data processing Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data General Chair General Chair Ezendu Ariwa Warwick University, UK Program Chairs Youshan Zhang, Yeshiva University, USA Simon Fong, University of Macau, Macau Duong Van Hieu, Tien Giang University, Vietnam Program Co-chairs Martin Lopez Nores, University of Vigo, Spain Frankie Wilson, University of Oxford. UK Publications All accepted and presented papers will be submitted to IEEE Xplore for publication and indexing. The DDP 2025 has co-located workshops. Modified versions of the papers will appear in the following journals. Journal of Digital Information Management International Journal of Computational Linguistics Performance Measurements and Metrics Important Dates Submission of Papers: June 20, 2025 Notification of Acceptance/Rejection: July 15, 2025 Camera-ready: August 10, 2025 Registration: August 10, 2025 Conference Dates: August 18-20, 2025 Post-Conference Proceedings Release: November 30, 2025 Paper submission Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/ Contact: ddp at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Wed Apr 16 04:34:57 2025 From: dhansel0 at gmail.com (David Hansel) Date: Wed, 16 Apr 2025 11:34:57 +0300 Subject: Connectionists: Summer School NeuroBridges2025 | Extended Deadline to apply: April 30, 2025 | In partnership with VVTNS series In-Reply-To: References: Message-ID: NeuroBridges 2025 A Mediterranean, Middle Eastern Summer School in Neuroscience *Extended deadline to apply: April 30, 2025* *Despite all that may have been said against science, we must not forget that, amid the deterioration of so many human orders, scientific research remains one of the rare domains in which man controls himself, bows to reason, is not wordy or violent, but pure. Is not the place of morality and loftiness henceforth the laboratory ?* (E. Levinas, 1978) NeuroBridges 2025 is a summer school which will take place between September 7 and September 18, 2025 in Le Centre de Conferences Internationales de Cluny, France (CCIC) . The school will provide an overview of theoretical and experimental frameworks used to study a variety of decision making processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of NeuroBridges is to bring together Mediterranean and Middle Eastern scientists, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *Faculty:* - Alaa Ahmed (U. Colorado) - Rava Azeredo da Silveira (IOB) - Ahmed El Hady (Max Planck Institute) - David Hansel (CNRS) - Mehdi Khamassi (CNRS) - Carole Levenes (CNRS) - Yonatan Loewenstein (Hebrew U.) - Zach Mainen (Champalimaud), TBC - Israel Nelken (Hebrew U.) - Drazen Prelec (MIT) - Reza Shadmehr (John Hopkins U.) NeuroBridges is co-organized by Ahmed El Hady (Max Planck Institute), David Hansel (CNRS, Paris), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel), Carole Levenes (CNRS, Paris), Shir Shapira (Hebrew University of Jerusalem). NeuroBridges 2025 is supported by the Simons Foundation, the Cyril Taylor Charitable FoundationELSC, and is in partnership with VVTNS ( https://www.wwtns.online/). For more information and application, visit our website: https://neurobridges.net/ -- *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: From carriecongrc at gmail.com Wed Apr 16 10:49:09 2025 From: carriecongrc at gmail.com (Ruichen Cong) Date: Wed, 16 Apr 2025 23:49:09 +0900 Subject: Connectionists: CFP: The 10th IEEE Cyber Science and Technology Congress (CyberSciTech) - Hakodate City, Hokkaido, Japan, October 21-24, 2025 Message-ID: [Our apologies if you receive multiple copies of this CFP] CyberSciTech 2025 CFP (October 21-24, 2025, Hakodate City, Hokkaido, Japan) ---------------------------------------------------------------------- The 10th IEEE Cyber Science and Technology Congress (CyberSciTech 2025) https://cyber-science.org/2025/cyberscitech/ October 21-24, 2025, Hakodate City, Hokkaido, Japan CONGRESS INTRODUCTION -------------------------- Cyberspace, the seamless integration of physical, social, and mental spaces, is an integral part of our society, ranging from learning and entertainment to business and cultural activities, and so on. There are, however, in addition to its technical challenges, a number of pressing issues such as safety and trust associated with the cyberspace. To address these challenges, there is a need to establish new science and research portfolios that incorporate cyber-physical, cyber-social, cyber-intelligent, and cyber-life technologies in a cohesive and efficient manner. This is the aim of the IEEE Cyber Science and Technology Congress (CyberSciTech). IEEE CyberSciTech has been successfully held in Auckland, New Zealand, 2016, in Orlando, USA, 2017, in Athens, Greece, 2018, in Fukuoka, Japan, 2019, in Calgary, Canada, 2020 and 2021 (online due to COVID-19), in Calabria, Italy, 2022, in Abu Dhabi, UAE, 2023, and in Boracay Island, Philippines, 2024. In 2025, we will continue to offer IEEE CyberSciTech with the aim of providing a common platform for scientists, researchers, and engineers to share their latest ideas and advances in the broad scope of cyber-related science, technology, and application topics. In addition, this is also a platform to allow relevant stakeholders to get together, discuss and identify ongoing and emerging challenges, in order to understand and shape new cyber-enabled worlds. IMPORTANT DATES ----------------------------------------------- Workshop/SS Proposal Due: Jun. 06, 2025 Regular Paper Submission Due: Jun. 20, 2025 WiP/Poster/Wksp/SS Paper Due: Jun. 27, 2025 Authors Notification: Aug. 11, 2025 Camera-ready Submission: Sep. 12, 2025 SCOPE AND TRACKSs ----------------------------------------------- Topics of interest include, but are not limited to: Regular Tracks (6-8 pages) Track 1: Cyberspace Theory & Technology - Cyberspace Property, Structure & Models - Cyber Pattern, Evolution, Ecology & Science - SDN/SDS, 5G/6G, Vehicle & Novel Network - Cloud, Fog, Edge & Green Computing - Big Data Analytics, Technology & Service - Infrastructures for Smart City/Country Track 2: Cyber Security, Privacy & Trust - Cyber Security, Safety & Resilience - Cyber Crime, Fraud, Abuse & Forensics - Cyber Attack, Terrorism, Warfare & Defense - Cyber Privacy, Trust & Insurance - Blockchain, DLT Techniques & Applications - Post-quantum Cryptography Track 3: Cyber Physical Computing & Systems - Cyber Physical Systems & Interfaces - Cyber Physical Dynamics & Disaster Relief - Cyber Manufacturing & Control - Embedded Systems & Software - Autonomous Robots & Vehicles - IoT, Digital Twin & Smart Systems Track 4: Cyber Social Computing & Networks - Social Networking & Computing - Computational Social Science - Crowd Sourcing, Sensing & Computing - Cyber Culture, Relation, Creation & Art - Cyber Social Right, Policy, Laws & Ethics - Cyber Learning, Economics & Politics Track 5: Cyber Intelligence & Cognitive Science - Cyber/Digital Brain & Artificial Intelligence - Hybrid & Hyper-connected Intelligence - Affective/Mind Cognition & Computing - Brain/Mind Machine Interface - AI Agents & Embodied Intelligence - Intelligent Object, Environment & Service Track 6: Cyber Life & Wellbeing - Cyber Life & Human Centric Computing - Cyber Medicine, Healthcare & Psychology - Cyborg/Wearable/Implantable Technology - Human/Animal Behavior Recognition - Personal Big Data & Personality Computing - Augmented/Mixed Reality & Metaverse IEEE CyberSciTech 2025 CALLS ---------------------------------- For original papers in: * Regular Tracks: 6-8 pages * WiP/Workshop/Special Session Tracks: 4-6 pages * Poster Track: 2 pages * All accepted conference, workshop, special session (SS), and poster papers will be published by IEEE in the Conference Proceedings (IEEE-DL and EI indexed). Selected high quality papers will be recommended to prestige journal special issues. Submission link: https://edas.info/N33760 SUBMISSION GUIDELINES ---------------------------------- Authors are invited to submit their original work that has not previously been submitted or published in any other venue. Regular, Work-in-Progress (WiP), Workshop/SS, Poster papers all need to be in IEEE CS format ( https://www.ieee.org/conferences/publishing/templates.html) CO-LOCATED CONFERENCES ---------------------------------- * The 23rd IEEE International Conference on Pervasive Intelligence & Computing (PICom 2025) * The 23rd IEEE International Conference on Dependable, Autonomic & Secure Comp (DASC 2025) * The 11th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2025) Hosted by Future University Hakodate, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From frederic.alexandre at inria.fr Wed Apr 16 08:23:11 2025 From: frederic.alexandre at inria.fr (Frederic Alexandre) Date: Wed, 16 Apr 2025 14:23:11 +0200 (CEST) Subject: Connectionists: Postdoc position on modeling Metacognition in Inria Bordeaux, France Message-ID: <1728097100.13113696.1744806191058.JavaMail.zimbra@inria.fr> The Mnemosyne team of the Inria centre of the University of Bordeaux (France) is looking for a talented postdoctoral fellow with confirmed competences in the domain of Machine Learning for the development of a modeling framework of Metacognition . Metacognition is the cognitive process by which, instead of just learning to associate a response or a behavior with a situation, animals (and mainly primates) monitor the functioning (and particularly errors) of simple cognitive processes, learn to inhibit automatic responses and promote instead contextually appropriate behavioral rules. Better understanding and modeling this process is important for several reasons. In cognitive neuroscience , it paves the way to exploring higher cognitive functions like reasoning, imagination and other kinds of deliberation-based thoughts. In Artificial Intelligence , it stands on the same grounds as Generative AI and proposes different processes and algorithms that might remedy several weaknesses of GenAI and suggest innovative brain-inspired extensions. Located in Bordeaux (France), the role of the postdoctoral fellow to be recruited is to participate to a research program, under the following axes: Axis 1: Specification of Metacognition and its main computational mechanisms: Metacognition is generally described through three main mechanisms: (i) the possibility to monitor cues indicating difficulties in the process of problem solving (errors or conflicts between resources), in order to inhibit elementary default responses, (ii) working memory to keep in sustained activity the different aspects to be integrated (goals and subgoals, predictions, constraints) and (iii) cognitive flexibility corresponding to new goals and contextual rules that can be learned and integrated in the process of problem solving. Existing models (including from our team) indicate possible correspondence with cerebral circuitries and adaptive operations. Nevertheless, they are many and split these general mechanisms in different pieces which are not always consistent and may differ under several aspects. A major contribution will be to carry out a thorough analysis of these elements, to propose a synthesis associating both a precise description of the mechanisms and a map of their functional dependencies. Axis 2: Definition of relevant tasks in the domain of visual reasoning: Although many standard tasks have been defined and shared for simple sensorimotor control, it is not yet the case for cognitive control, generally corresponding to much more complex behaviors. A variety of tasks have been proposed in models evoked above but they differently integrate fundamental constituents such as hierarchical and temporal dependencies. In a similar view of standardization as in the axis above, the goal will be consequently to enumerate properties that have to be assessed when developing such metacognitive models and propose or design corresponding tasks. Subsequently, the postdoctoral fellow will work on integrating the insights from Axis 1 and task definitions in this Axis, with an architecture that integrates selected mechanisms from the different frameworks, particularly under the perspective of extending and evaluating models proposed in our team with novel properties. Axis 3: Organization of an international network of collaboration on the topic: We have already begun to identify and contact international (mainly European) teams working on the topic and willing to contribute to the elaboration of such a roadmap, toward more ambitious international projects. A corresponding goal will be to interact with these partners and to help with the preparation of such projects. This postdoc position is proposed for 18 to 24 months, preferably starting on November 1 st , 2025 and will be located in the Mnemosyne team, in Bordeaux, France. Please send CV + motivation letter to [ mailto:Frederic.Alexandre at inria.fr | Frederic.Alexandre at inria.fr ] for preliminary contact and interview. Deadline for application: June 1 st , 2025 References: Dagar, S., Alexandre, F., & Rougier, N. (2022). From Concrete to Abstract Rules: A Computational Sketch. In M. Mahmud, J. He, S. Vassanelli, A. van Zundert, & N. Zhong (Eds.), Brain Informatics . Springer International Publishing. [ https://doi.org/10.1007/978-3-031-15037-1_2 | https://doi.org/10.1007/978-3-031-15037-1_2 ] Kruijne, W., Bohte, S. M., Roelfsema, P. R., & Olivers, C. N. L. (2020). Flexible Working Memory Through Selective Gating and Attentional Tagging. Neural Computation , 33 (1), 1?40. [ https://doi.org/10.1162/neco_a_01339 | https://doi.org/10.1162/neco_a_01339 ] van den Berg, A. R., Roelfsema, P. R., & Bohte, S. M. (2023). Biologically plausible gated recurrent neural networks for working memory and learning-to learn. bioRxiv , 2023-07. Alexander, W. H., & Brown, J. W. (2015). Hierarchical Error Representation: A Computational Model of Anterior Cingulate and Dorsolateral Prefrontal Cortex. Neural Computation , 27 (11), 2354?2410. [ https://doi.org/10.1162/NECO_a_00779 | https://doi.org/10.1162/NECO_a_00779 ] Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review , 108 (3), 624?652. Collins, A., & Koechlin, E. (2012). Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making. PLOS Biology, 10(3), e1001293+. [ https://doi.org/10.1371/journal.pbio.1001293 | https://doi.org/10.1371/journal.pbio.1001293 ] Domenech, P., & Koechlin, E. (2015). Executive control and decision-making in the prefrontal cortex. Current Opinion in Behavioral Sciences , 1 , 101?106. [ https://doi.org/10.1016/j.cobeha.2014.10.007 | https://doi.org/10.1016/j.cobeha.2014.10.007 ] Miller, K., Eckstein, M., Botvinick, M., & Kurth-Nelson, Z. (2024). Cognitive model discovery via disentangled RNNs. Advances in Neural Information Processing Systems , 36 . -- Frederic A LEXANDRE -------------- next part -------------- An HTML attachment was scrubbed... URL: From mariya.k.toneva at gmail.com Wed Apr 16 13:56:13 2025 From: mariya.k.toneva at gmail.com (Mariya Toneva) Date: Wed, 16 Apr 2025 19:56:13 +0200 Subject: Connectionists: [Jobs] Last call! Multiple PhD positions in Neuroexplicit models Message-ID: The Research Training Group 2853 ?Neuroexplicit Models of Language, Vision, and Action? is looking for Multiple PhD Students - Fall 2025 Neuroexplicit models combine neural and human-interpretable (?explicit?) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (?Language?), computer vision (?Vision?), and planning and reinforcement learning (?Action?). We also develop novel machine learning techniques for neuroexplicit models (?Foundations?). Our overarching aim is to contribute to a better understanding of the cross-cutting design principles of effective neuroexplicit models through interdisciplinary collaboration. We are now filling the last few remaining positions to grow to a total of 24 PhD students by the end of 2025. You will join a very international crowd of sixteen PhD students and one postdoc who are already being funded by the RTG. Through the inclusion of ~15 associated PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are collocated on the same campus in Saarbr?cken, Germany. The positions will be funded for four years at the TV-L E13 100% pay scale. They are intended to start in September 2025, but could start a little earlier or later depending on the student?s availability. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master?s thesis or relevant publications. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 40 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics J?rg Hoffmann, Saarland University - AI Planning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, is joining us regularly as a Mercator Fellow. Please send your application by May 7th 2025 to apply at neuroexplicit.org and include the reference number W2639. We aim to conduct job interviews in June 2025. For more details on the position, including what materials to submit with your application, please see our website: https://www.neuroexplicit.org/jobs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From francesco.spinnato at di.unipi.it Thu Apr 17 03:35:56 2025 From: francesco.spinnato at di.unipi.it (Francesco Spinnato) Date: Thu, 17 Apr 2025 09:35:56 +0200 Subject: Connectionists: Call for Papers: XKDD 2025 - 7th ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining and Unlearning Message-ID: <785DE6C4-391F-4DEA-BF33-C0F5D6329C03@di.unipi.it> **apologies for cross-posting** XKDD and Beyond 2025 - Call for Papers ------------------------------------------------------------------------- 7th ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining and UNLEARNING https://xkdd2025.isti.cnr.it/ ------------------------------------------------------------------------- co-located with the ECML-PKDD 2025 Conference, Porto, Portugal IMPORTANT DATES Paper Submission deadline: June 6th, 2025 Accept/Reject Notification: July 14th, 2025 Workshop: September 19th, 2025 CONTEXT & OBJECTIVES In recent years, Artificial Intelligence (AI)-driven decision systems have been widely applied in domains such as credit scoring, insurance risk assessment, and health monitoring, where predictive accuracy is critical. While these systems enhance decision-making capabilities, they also introduce ethical and legal challenges, including bias reinforcement, reduced transparency, privacy concerns, and diminished accountability. The complexity and opacity of modern AI models further exacerbate these risks, making it difficult to ensure fairness and compliance with ethical and legal standards. Most AI systems today rely on Machine Learning algorithms, and the need for ethics and trust in AI has been emphasized through various regulations and guidelines. Frameworks such as the EU?s GDPR mandate the right to "meaningful explanations" of automated decision-making processes, while the AI Act advocates for explainability, transparency, and accountability in AI-driven decision-making. Despite these efforts, the challenge of developing AI systems that are truly explainable, trustworthy, and compliant with regulatory frameworks remains unresolved. Many methodologies address aspects such as explainability, fairness, and accountability, but a comprehensive and effective framework is still lacking. Addressing these challenges requires collaboration across disciplines, including computer science, law, sociology, and ethics. XKDD and Beyond is dedicated to advancing research on explainable, transparent, ethical, and fair AI-driven decision systems. This year, the workshop expands its scope to include the emerging topic of unlearning and its intersection with explainable AI (XAI). Unlearning, or the removal of specific knowledge from AI models, is a crucial challenge, especially in contexts requiring compliance with the "right to be forgotten" under GDPR. However, achieving effective unlearning is complex, as model parameters encode learned information in intricate ways. XAI techniques play a vital role in operationalizing unlearning by providing insights into how decisions are made, identifying the influence of specific data points, and guiding targeted interventions to remove unwanted knowledge while preserving model performance. By integrating explainability with unlearning, AI systems can become more adaptable, accountable, and aligned with ethical and legal standards. TOPICS XKDD 2025 invites researchers and practitioners from academia and industry to explore the latest advancements in explainability, trust, and unlearning in AI. Join us in shaping the future of ethical and transparent AI-driven decision-making. Topics of interest include, but are not limited to: - XAI and Unlearning - XAI for Trustworthy AI - XAI for Social AI - XAI to Align AI with Human Values - XAI for Outlier and Anomaly Detection - XAI methodologies for tabular data, images, text, and time series - XAI for ethical, fair, and transparent AI systems - XAI techniques for enabling unlearning in machine learning models - The role of XAI in privacy preservation and regulatory compliance - Case studies on XAI and unlearning applications in real-world scenarios - Quantitative and qualitative evaluations of XAI - Quantitative and qualitative evaluations of unlearning approaches - XAI for Federated Learning - XAI for Graph-based Approaches - XAI for Visualization - Interpretable Machine Learning - Transparent Data Mining - XAI for Fairness Checking - Multi-level XAI - Explanation, Accountability, and Liability from an Ethical and Legal Perspective XKDD 2025 is a Workshop of the ECML-PKDD Conference: https://ecmlpkdd.org/2025/ SUBMISSION & PUBLICATION The submission link is: https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/ Papers must be written in English and formatted according to the Springer Lecture Notes in Computer Science (LNCS) guidelines following the style of the main conference. The maximum length of either research or position papers is 16 pages references included. Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength). Authors who submit their work to XKDD 2025 commit themselves to present their paper at the workshop in case of acceptance. XKDD 2025 considers the author list submitted with the paper as final. No additions or deletions to this list may be made after paper submission, either during the review period, or in case of acceptance, at the final camera ready stage. Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. All accepted papers will be published as post-proceedings in LNCSI and included in the series name Lecture Notes in Computer Science. More info at: https://xkdd2025.isti.cnr.it/ PROGRAM CO-CHAIRS - Francesca Naretto, University of Pisa, Pisa, Italy - Francesco Spinnato, University of Pisa, Pisa, Italy - Przemyslaw Biecek, Warsaw University of Technology, Poland - Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia INVITED SPEAKERS - Andreas Theissler, Aalen University of Applied Sciences, Germany - Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia STEERING COMMITTEE - Riccardo Guidotti, University of Pisa, Italy - Anna Monreale, University of Pisa, Italy - Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy - Przemyslaw Biecek, Warsaw University of Technology, Warsaw, Poland VENUE The event will take place at the ECML-PKDD 2025 Conference. CONTACT All inquires should be sent to francesca.naretto at unipi.it, francesco.spinnato at di.unipi.it -- Francesco Spinnato, Ph.D. Research Fellow University of Pisa, Italy francesco.spinnato at di.unipi.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefan.kiebel at tu-dresden.de Thu Apr 17 04:57:27 2025 From: stefan.kiebel at tu-dresden.de (Kiebel, Stefan) Date: Thu, 17 Apr 2025 08:57:27 +0000 Subject: Connectionists: [jobs] Postdoc Position in Cognitive Computational Neuroscience at TU Dresden Message-ID: <8a39aa67fffe4269b8b499f757914f3f@tu-dresden.de> Dear colleagues, Application deadline approaching ? April 30, 2025 We are hiring a Postdoctoral Research Associate at the Chair of Cognitive Computational Neuroscience, TU Dresden (Germany). The position is part of a DFG-funded project on neurocomputational mechanisms of decision-making through forward planning and state abstraction. Project highlights: * Modeling human learning and decision-making using probabilistic approaches * Analyzing behavioral and fMRI data * Collaborative work with experimentalists and theorists * Opportunity to design and run experiments We?re looking for: * A strong background in physics, computer science, mathematics, or related fields * Programming skills in Python * Interest in cognitive neuroscience and modeling * Experience with probabilistic programming (PyMC, Stan, Pyro) is a plus ?? Start date: July 1, 2025 (or soon after) ? Application deadline: April 30, 2025 ? Location: TU Dresden, Germany ? Duration: Until Oct 2027, with extension possible This is a great opportunity for quantitatively strong researchers interested in cutting-edge cognitive neuroscience. Even applicants with limited neuroscience background are encouraged to apply if they have strong modeling skills. For details, please see the full job ad https://tud.link/9d2n92 or reach out to julia.herdin at tu-dresden.de. Best regards, Stefan Kiebel TU Dresden ? Chair of Cognitive Computational Neuroscience -- Prof. Dr. rer. nat. Stefan J. Kiebel Professur f?r Kognitive Computationale Neurowissenschaft Technische Universit?t Dresden 01062 Dresden https://tu-dresden.de/mn/psychologie/ifap/ccns -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Thu Apr 17 04:04:41 2025 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Thu, 17 Apr 2025 08:04:41 +0000 Subject: Connectionists: JOB: Research Fellow in Generative Audio AI, University of Surrey, UK (Deadline: 13 May 2025) Message-ID: Dear Connectionists, please forward to anyone who may be interested in this post. I would particularly like to encourage applications from under-represented groups in our area, including women, people from Black, Asian and minority ethnic groups and people with disabilities. Many thanks, Mark --- Research Fellow in Generative Audio AI (Deadline: 13 May 2025) Applications are invited for a Research Fellow (RF) position within the Centre for Vision Speech and Signal Processing (CVSSP) and the Surrey Institute for People-Centred AI, at the University of Surrey, UK, to work in the area of generative AI for audio generation. This post is funded by the AI Hub in Generative Models (www.genai.ac.uk). The Gen AI Hub brings together experts in Generative AI, from industry and academia, to make Generative AI models more customisable, reliable and trustworthy, and to help to realise the benefits of these technologies for society, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including audio generation for environmental sounds, using approaches such as diffusion models and/or flow matching. About you The post holder is expected to have a PhD degree (or equivalent) in electronic engineering, computer science, applied mathematics, statistics, artificial intelligence, audio engineering, or a related subject; and research experience in research experience in audio signal processing, audio-related multimodal processing (audio with text and/or video), audio deep learning, or a related topic. The post holder would have experience in developing new research algorithms or methods, using languages such as Python, C++ and/or MATLAB, with relevant signal processing, machine learning and/or deep learning tools. CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception and AI, with over 180 researchers. The Centre has state-of-the-art audio and video capture and analysis facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 200 GPUs and >2PB of high-speed secure storage. The Surrey Institute for People-Centred AI is the founding pan-university institute at the University of Surrey, bringing together core AI-related expertise in audio-visual and signal processing, computer science, and mathematics, with its domain expertise across engineering and physical sciences, human and animal health, law and regulation, business, finance and the arts and social sciences. Our multi-disciplinary approach puts people at the heart of AI. How to Apply For further details and information on how to apply, visit https://jobs.surrey.ac.uk/021025 For informal inquiries, please contact Prof Mark Plumbley at m.plumbley at surrey.ac.uk -- Prof Mark D Plumbley EPSRC Fellow in AI for Sound Professor of Signal Processing Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Thu Apr 17 04:21:26 2025 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Thu, 17 Apr 2025 08:21:26 +0000 Subject: Connectionists: Registration open for UK Neural Computation 2025 Message-ID: Register now for the UK Neural Computation meeting 2025 (Imperial College, 9-11th July): https://neuralcomputation.uk/registration.html UK Neural Computation is a national meeting for everyone interested in the computations of the brain, both experimentally and theoretically. Speakers include Jennifer Bizley, Rafal Bogacz, Claudia Clopath, Jonathan Cornford, Paul Graham, Flavia Mancini, Simon Schultz, Petra Vertes and Petr Znamenskiy. ARIA will be hosting a session on developing grant proposals. 9 July: ECR day. ~30 places are available 10-11 July: main meeting. Abstract submission is open until May 12th 2025 Please spread the word! Sponsors: ARIA Scalable Neural Interfaces program Francis Crick Institute Organisers: Danyal Akarca (Imperial) Dan Goodman (Imperial) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From luisgascosanchez.research at gmail.com Thu Apr 17 06:30:09 2025 From: luisgascosanchez.research at gmail.com (Luis Gasco) Date: Thu, 17 Apr 2025 12:30:09 +0200 Subject: Connectionists: Final CFP: TalentCLEF Shared Task (CLEF 2025) - Registration deadline April 25 Message-ID: (* apologies for cross-posting *) Final CFP - TalentCLEF Shared Task (CLEF 2025) Skill and Job Title Intelligence for Human Capital Management https://talentclef.github.io/talentclef/ TalentCLEF is an initiative to advance Natural Language Processing (NLP) in Human Capital Management (HCM). It aims to create a public benchmark for model evaluation and promote collaboration to develop fair, multilingual, and flexible systems that improve Human Resources (HR) practices across different industries. ? Registration Deadline: April 25, 2025 ? Test set release of Task A and B Key information: - Web: https://talentclef.github.io/talentclef/ - Data: https://doi.org/10.5281/zenodo.14002665 - Registration (open until 25th April 2025): https://clef2025-labs-registration.dei.unipd.it/ - Codabench Task A: https://www.codabench.org/competitions/5842/ - Codabench Task B: https://www.codabench.org/competitions/7059/ Motivation Integrating Natural Language Processing (NLP) into Human Capital Management (HCM) enhances key areas such as sourcing and hiring, onboarding and training, strategic workforce planning, and career development. Despite these benefits, challenges persist in managing multilingual information, ensuring fair AI models, and developing systems flexible enough to work across industries. The inaugural TalentCLEF shared-task aims to tackle these challenges through two key tasks: - Task A - Multilingual Job Title Matching: Participants will develop systems to identify and rank job titles most similar to a given one. For each job title in a test set, systems must generate a ranked list of similar titles from a predefined knowledge base. Evaluation will be conducted in English, Spanish, German, and Chinese, covering both monolingual and cross-lingual (between English and the other languages) matching. - Task B - Job Title-Based Skill Prediction: This task focuses on retrieving relevant skills associated with a given job title. Participants will develop systems that predict and extract key skills based on job titles. The evaluation will be conducted in English. Schedule - 20th January 2025 - Training data available for Tasks A and B - 17th February 2025 ? Start of Task A with the release of the development data - 17th March 2025 ? Start of Task B with the release of the development data - 21st April 2025 ? Test set of Task A release - 28st April 2025 - Test set of Task B release - 5th May 2025 ? End of evaluation period - 7th May 2025 ? Publication of Official Results - 30th May 2025 ? Submission of CLEF 2025 Participant Working Notes (CEUR-WS) - 27th June 2025 - Notification of Acceptance for Participant Papers Publications and CLEF 2025 workshop Teams participating in TalentCLEF will be invited to submit a system description paper for the CLEF 2025 Working Notes proceedings, published on CEUR-WS. Additionally, they will have the opportunity to present a brief overview of their approach at the CLEF 2025 workshop, which will take place in Madrid, Spain, from September 9th to 12th, 2025. Main Organizers - Luis Gasc?, Avature, Spain - Hermenegildo Fabregat, Avature, Spain - Laura Garc?a-Sardi?a, Avature, Spain - Daniel Deniz Cerpa, Avature, Spain - Paula Estrella, Avature, Spain - ?lvaro Rodrigo, Universidad Nacional de Educaci?n a Distancia (UNED), Spain - Rabih Zbib, Avature, Spain Scientific Committee - Eneko Agirre - Full Professor of the University of the Basque Country UPV/EHU - ACL Fellow - David Camacho - Full Professor of the Technical University of Madrid (UPM) - Debora Nozza - Assistant Professor of Bocconi University - Jens-Joris Decorte - Lead AI Scientist at TechWolf - David Graus - Lead Data Scientist at Randstad Group - Mesutt Kayaa - Postdoctoral Researcher at Jobindex A/S and IT University Copenhagen - Jan Luts - Senior Data Scientist at NTT Data & ESCO - Elena Montiel-Ponsoda - Professor at the Technical University of Madrid (UPM) - AI4Labour project - Javier Huertas Tato - Assistant Professor of the Technical University of Madrid (UPM) - Patricia Mart?n Chozas - Postdoctoral Researcher at the Ontology Engineering Group (UPM) - AI4Labour project -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Thu Apr 17 08:31:09 2025 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Thu, 17 Apr 2025 14:31:09 +0200 Subject: Connectionists: Next SIPTA seminar, Krikamol Muandet on 24th April 15h Paris time, "Imprecise generalisation" Message-ID: Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 24th of April (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/88932866889 For this new seminar, we are very happy to have Krikamol Muandet as our speaker. Krikamol Muandet is currently a chief scientist and tenure-track faculty (fast track) at CISPA - Helmholtz Center for Information Security which is within the Helmholtz Association where he leads the Rational Intelligence (RI) Lab. While Krikamol prime interest lies in machine learning, a field in which he has many contributions, he has also a strong interest in its intersections with imprecise probabilities, and in particular the idea of imprecision in learning. On the 24th of April at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Imprecise generalisation?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th of April, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=XeGpbYNe5-Q See you at the seminar! S?bastien, Enrique and Jasper From walter.senn at unibe.ch Fri Apr 18 05:08:50 2025 From: walter.senn at unibe.ch (walter.senn at unibe.ch) Date: Fri, 18 Apr 2025 09:08:50 +0000 Subject: Connectionists: Postdoc and PhD position Computational Neuroscience Bern, Switzerland Message-ID: <655C8203-A1EC-437A-973D-8E5D93F7A794@unibe.ch> Dear all We are pleased to announce the opening of postdoc or PhD position in computational neuroscience at the University of Bern. For a detailed description see below. Besides the top research in our groups, you will find in the capital of Switzerland a beautiful city with lots of opportunities to enjoy together nature and mountains. Best wishes Walter Postdoc or PhD position on cortical self-attention The Senn lab offers a Postdoc or PhD position on a computational model of cortical self-attention (supported by EBRAINS 2.0). Based on our current work and a collaboration with The Virtual Brain (Marmaduke Woodman), we seek for an implementation of neuronal self-attention mechanisms in thalamo-cortical circuits. The model is inspired by transformer-type architectures, but is consistent with experimentally observed cortical connectivity patterns. It shall be trained on cognitive tasks while being constrained to human cortical recordings. Postdoc or PhD position on the Neuronal Least-Action principle The Senn lab also offers a Postdoc or PhD position on the Neuronal Least-Action principle and its extention to long-term temporal processing and spikes (supported by the SNSF). The framework offers a rigorous description of the neuronal dynamics in cortical networks together with gradient-based synaptic learning rules. It will be applied to integrate-and-fire neurons with multiple intrinsic time constants. The project links to implementations in spike-based neuromorphic hardware. Ideal candidates for all positions have a strong background in computational neuroscience, machine learning and mathematics. The Postdoc positions start with a contract for 2 years, but are extendable to 3 years. Please send CV, letter of motivation, and publication list latest by April 28, 2025, to walter.senn at unibe.ch and virginie.sabado at unibe.ch. -------------- next part -------------- An HTML attachment was scrubbed... URL: