Center for Intelligent Systems CIS EPFL

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156 videos

Center for Intelligent Systems (CIS) The EPFL Center for Intelligent Systems brings together researchers working on various aspects of creating intelligent s...

Latest Videos

Aude Billard (EPFL-CIS)Linearization and Identification of Multiple-Attractor Dynamical Systems..

Jingfeng Zhang (RIKEN-AIP) “Applications of Adversarial robustness”

M. Ha Quang (RIKEN-AIP)“Information geometry and optimal transport framework for Gaussian processes”

Lenaic Chizat (EPFL-CIS) “A Tractable Barycenter for Probability Measures in Machine Learning”

Masatoshi Hamanaka (RIKEN-AIP) “Music Structure Analysis based on Transformers”

Martin Jaggi (EPFL-CIS) “Building Blocks for Collaborative and Decentralized Machine Learning”

Masashi Sugiyama (RIKEN-AIP) “Noise Robust Classification”

Maryam Kamgarpour (EPFL-CIS) “Learning equilibria in multi-agent systems”

Naonori Ueda (RIKEN-AIP) Physics-Informed Deep Learning Approach for Modeling Crustal Deformation”

Volkan Cevher (EPFL-CIS) “Optimization Challenges in Robust Machine Learning”

CIS Network Seminar #IDIAP - Prof. Lonneke van der Plas

AMLD 2023 AI workshop, A Super Simple Introduction to AI and Generative AI, Prof. P. Vandergheynst

AMLD 2023 AI workshop, Set the course Crafting a legal and regulatory landscape for AI, R. Dubach

AMLD 2023 AI workshop, AI in the machine tool industry opportunities & challenges, Adina Dorthe

AMLD 2023 AI workshop, « AI Policy – a strategic opportunity », Ayisha Piotti

AMLD 2023 AI workshop round table, Perspectives from industry, society and research, Aug 29, 2023

AMLD 2023 AI workshop, Welcome introduction, Dr. Jan Kerschgens (EPFL CIS)

CIS Colloquium Prof. Meisam Razaviyayn, University of Southern California

CIS-IMI-C4DT joint event AI-driven synthetic realities and trust

CIS Colloquium Dr. Petar Veličković, Google DeepMind and University of Cambridge

CIS Network Seminar #IDIAP - Prof Sébastien Marcel

Dr. Luiz Chamon Learning under requirements

Prof. Michael Herbst “An interdisciplinary perspective on robust materials simulations”

Mats Stensrud “On optimal treatment regimes assisted by algorithms“

Deplancke Lab Dr. Wouter Saelens - “Mountains in our DNA

Tomasz M. Rutkowski (RIKEN-AIP)

Gianluca Ceruti (EPFL-CIS) “Low-rank dynamical training of feed-forward neural networks”

Qibin Zhao (RIKEN-AIP) “Efficient machine learning with tensor networks”

Nicolas Boumal (EPFL-CIS) Non-convex optimization when the solution is not unique...

Thomas Moellenhoff (RIKEN-AIP) “SAM as an Optimal Relaxation of Bayes”