Rémi Monasson - Embedding of Low-Dimensional Attractor Manifolds by Neural Networks Published 2022-05-14 Download video MP4 360p Recommendations 17:38 The moment we stopped understanding AI [AlexNet] 1:10:11 Yann LeCun - Graph Embedding, Content Understanding, and Self-Supervised Learning 29:41 Sue-Yeon Chung - Emergence of Separable Manifolds in Deep Neural Networks 51:10 Alain Connes - Entropy and the spectral action 14:33 Denis Noble explains his revolutionary theory of genetics | Genes are not the blueprint for life 29:37 Nature's Incredible ROTATING MOTOR (It’s Electric!) - Smarter Every Day 300 1:07:33 Spencer Bloch - Motives in mathematics and in physics 1:10:39 Navigating the Manifolds of the Brain - Yasser Roudi 1:42:08 Alain Aspect - Hanbury Brown - Twiss, Hong - Ou - Mandel, and other landmarks in quantum optics 1:07:14 Thierry COQUAND - Logic and topology 47:50 BIRS 2022: Flows and Dynamics on Manifolds with Neural ODEs (Smita Krishnaswamy) 2:02:40 Thibault Damour - 1/4 Gravitational Waves and Binary Systems 47:17 Memories as attractor neural networks 1:23:25 Cédric Villani - Of triangles, gases, prices and men 1:05:03 B. Bhatt - Prisms and deformations of de Rham cohomology Similar videos 29:16 Anqi Wu - New methods for identifying latent manifold structure from neural data 3:14:03 CCN 2021: Flexible identification of population dynamics from neural activity recordings More results