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78 videos found  Video  Audio

01:41:28
Soutenance Marina Krémé
Soutenance Marina Krémé
00:09:38
Soutenance Marina Krémé - résultat
Soutenance Marina Krémé - résultat
00:27:39
Towards Building a Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks by Umut Simsekli (Inria)
Towards Building a Heavy-Tailed Theory o...
00:22:04
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification by Gianni Franchi (ENSTA)
Encoding the latent posterior of Bayesia...
00:20:30
Achieving robustness in classification using optimal transport with hinge regularization by Mathieu Serrurier (IRIT), Franck Mamalet, Thibaut Boissin, Louis Bethune
Achieving robustness in classification u...
00:17:45
Analyzing the identifiability of sparse linear networks by Léon Zheng (ENS de Lyon)
Analyzing the identifiability of sparse ...
00:17:35
Fixed support matrix factorization is NP hard by Tung Le Quoc (ENS de Lyon)
Fixed support matrix factorization is NP...
00:11:13
From classical statistics to modern machine learning by Mikhail Belkin (UCSD) [interrupted]
From classical statistics to modern mach...
00:16:37
A Neural Tangent Kernel Perspective of GANs by Jean-Yves Franceschi (Sorbonne Université, LIP6)
A Neural Tangent Kernel Perspective of G...
00:18:12
Tensor-based approaches for learning flexible neural networks by Yassine Zniyed (Université de Lorraine)
Tensor-based approaches for learning fle...
00:16:00
Existence, Stability And Scalability Of Orthogonal Convolutional Neural Networks by El-Mehdi Achour (Institut de Mathématiques de Toulouse)
Existence, Stability And Scalability Of ...
00:37:03
Some Theoretical Insights into Wasserstein GANs by Gérard Biau (Sorbonne Université)
Some Theoretical Insights into Wasserste...
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