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ACDL 2024 : 7th Advanced Course on Data Science & Machine Learning | |||||||||||
Link: https://acdl2024.icas.events | |||||||||||
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Call For Papers | |||||||||||
The 7th Advanced Course on Data Science & Machine Learning – ACDL 2024 (June 10-14) is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning and Data Science with lectures delivered by world-renowned experts. The Course provides a stimulating environment for junior and senior academics, early career researches, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial and productive environment ( https://acdl2024.icas.events/call-for-posters-talks/ ).
PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lectures “Artificial Intelligence: Where We Are, Where We Are Going?” * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sergiy Butenko, Texas A&M University, USA “Cluster-detection Methods in Network-based Data Analysis” “Continuous Approaches to Cluster-Detection Problems in Networks ” * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 5 Lessons on "Introduction on Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Nora Kassner, DeepMind, London, UK "Large Language Models: Life after Pre-training" "Large Language Models: Evaluation" "Large Language Models: Reasoning and Factuality" "Large Language Models: Retrieval augmentation and Tool-use" * Petros Koumoutsakos, Harvard University, USA “Machine Learning for Modeling and Control of Complex Systems” 1/2 “Machine Learning for Modeling and Control of Complex Systems” 2/2 “Solving forward and inverse problems with and without neural networks” “Bayesian Uncertainty Quantification” * Maria Liakata, The Alan Turing Institute, UK 4 Lessons on "Longitudinal Language Processing with User Generated Content" * Panos Pardalos, University of Florida, USA Lectures 1-2 TBA Topics: Data Science, Application to Neuroscience * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on “Deep Generative Modelling” * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA 3 Lessons on "Fusing Machine Learning and Optimization for Engineering" * Max Welling, University of Amsterdam, The Netherlands 3 Lessons on "Generalized Belief Propagation Algorithms for Tensor Network Contractions" More Lecturers TBA To participate in the ACDL 2024, all attendants must (1/2) register for the course (by March 23, 2024) and (2/2) book accommodation at the course venue, “Riva del Sole Resort & SPA” (by April 23, 2024); all attendants must stay at the “Riva del Sole Resort & SPA” ( https://acdl2024.icas.events/venue/ ). Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl@icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel can not match people. If you have someone to share the apartment with, please send to the Hotel (events@rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use. https://acdl2024.icas.events/lecturers/ https://acdl2024.icas.events/past-editions/ https://acdl2024.icas.events/past-lecturers/ |
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