34:36

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

28:41

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

31:46

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

33:35

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

24:35

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

31:24

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

30:13

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

27:51

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

25:12

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

37:05

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

48:35

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

24:33

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

19:29

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

19:34

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

21:25

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

01:13:42

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

06:43

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

57:17

CIS Colloquium: Prof. Meisam Razaviyayn, University of Southern California

01:28:38

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

51:58

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

39:07

CIS Network Seminar: #IDIAP - Prof Sébastien Marcel

58:34

Dr. Luiz Chamon: "Learning under requirements"

47:46

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

48:02

Mats Stensrud: “On optimal treatment regimes assisted by algorithms“

50:28

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

25:49

Tomasz M. Rutkowski (RIKEN-AIP)

30:03

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

30:04

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

33:47

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

29:04

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

24:12

Vo Nguyen Le Duy (RIKEN-AIP): “Statistical Inference for Neural Network-based Image Segmentation”

45:40

CIS Network Seminar: #IDIAP - Dr. James Henderson

04:47

CIS Introduction: Dr. Jan Kershgens

31:50

Maria Brbic (EPFL-CIS): “Open-world learning for biomedicine”

32:11

Taiji Suzuki (RIKEN-AIP): “Representation power and optimization ability of neural networks”

39:10

Michele Ceriotti (EPFL-CIS): “Equivariance and universal approximation for geometric point clouds”

29:49

Pierre Louis Poirion (RIKEN-AIP): “Random subspace methods for non-convex optimization“

05:10:34

EPFL-CIS RIKEN-AIP WORKSHOP ON MACHINE LEARNING - Day 1: Thursday 9 March 2023

05:37

EPFL CIS NeurIPS 2022 Regional Post-Event: Etienne Boursier

05:50

EPFL CIS NeurIPS 2022 Regional Post-Event: Evgenii Golikov

05:24

EPFL CIS NeurIPS 2022 Regional Post-Event: Yifan Hu

05:54

EPFL CIS NeurIPS 2022 Regional Post-Event: Saeed Masiha

04:12

EPFL CIS NeurIPS 2022 Regional Post-Event: Luca Pesce

06:08

EPFL CIS NeurIPS 2022 Regional Post-Event: Babak Rahmani

05:43

EPFL CIS NeurIPS 2022 Regional Post-Event: Damiano Sgarbossa

05:01

EPFL CIS NeurIPS 2022 Regional Post-Event: Ludovic Stephan

03:04

Luca Viano: Identifiability and Generalisability in Inverse Reinforcement Learning

05:17

Onur Beker: PALMER: Perception-Action Loop with Memory for Long-Horizon Planning

49:53

CIS – “Get to know your neighbors” Seminar Series: Gabriele Manoli

54:31

CIS - Colloquium - by Prof. Sarah Teichmann

59:03

CIS Colloquium: Chris Wiggins HD 1080p

37:54

Get To Know Your Neighbors: Prof. Stefana Parascho

36:09

GTKYN Seminar - Tanja Käser - Machine Learning to Understand and Improve Human Learning

28:57

Tomasz M. Rutkowski (RIKEN-AIP) - Machine Learning Approaches for EEG-derived Early-onset...

29:14

Koichi Tojo (RIKEN-AIP) - A method to construct exponential family by representation theory

38:19

Matthias Weissenbacher (RIKEN-AIP) - Reinforcement Learning via Symmetries of Dynamics

24:42

Chao Li (RIKEN-AIP) - Structure Search for Tensor Network Learning

26:58

Yaxiong Liu (RIKEN-AIP) - Expert advice problem with noisy low rank loss

32:04

Yu Zhe (RIKEN-AIP) - Domain Generalization via Adversarially Learned Novel Domains

25:55

Vo Nguyen Le Duy (RIKEN-AIP) - Exact Statistical Inference for the Wasserstein Distance by ...