General Seminar IPhT - Marylou Gabrié

(1:15:9)

Review: Generative models to assist sampling (Marylou Gabrié)

(59:41)

Marilou Gabrié - Replica entropy and mutual information in deep neural networks

(31:21)

Flatiron Wide Algorithms and Mathematics - Marylou Gabrié (October 20, 2020)

(1:2:46)

#98 Fusing Statistical Physics, Machine Learning \u0026 Adaptive MCMC, with Marylou Gabrié

(1:11:20)

episode 98 Fusing Statistical Physics, Machine Learning \u0026 Adaptive MCMC, with Marylou Gabrié

(1:1econd)

Progress and hurdles in the statistical mechanics of deep learning

(16:35)

ASSAI Workshop : Machine Learning-Assisted Sampling for Scientific Computing - Day 2 - Part 1

(1:50:21)

Francis Cabrel - Presque rien (Clip officiel)

(4:44)

Francis Cabrel - C'est écrit (Clip officiel)

(5:49)

Francis Cabrel - La corrida (Clip officiel)

(5:37)

Giorgio Parisi - Fat diagrams: a topological expansion for lattice models

(55:28)

80 – Interview with Gaby Wulf \u0026 Rebecca Lewthwaite, OPTIMAL Theory of Motor Learning

(24:57)

Physics Colloquium: The Physics of Complex and Disordered Systems-Giorgio Parisi 2021 Physics Nobel

(1:7:3)

Francis Cabrel - Je t’aimais, je t’aime, je t’aimerai (Paroles)

(4:39)

Importance Sampling

(12:46)

Comment entrer à l'ENS ? | ENS-PSL

(1:31:12)

Marc Mézard - From replicas to cavity to algorithms to replicas

(35:)

Data Learning - Assisting Sampling with Learning: Adaptive Monte Carlo with Normalizing Flows

(1:37)

Replica method with approximate inference

(50:10)

Learning Speaker Representations with Mutual Information

(22:32)

Information Flow and Deep Representation Learning

(44:35)

Lecture 12: Mutual Information. Learning Probability Distributions. Normalizing Flows.

(1:32:29)

Replica Symmetry and Combinatorial Optimization

(59:3)

Francis Cabrel - Petite Marie (Clip officiel 1991)

(4:12)

Urbani Pierfrancesco - 2017 Statistical physics of glassy systems tools and applications 5/6

(1:53:30)

Quadratic Mutual Information Regularization In Real-Time Deep CNN Models (MLSP 2020)

(13:27)

Conditional Mutual Information Neural Estimator

(13:22)