Deep Learning and Statistical Physics

25 June - 7 July 2018

Co-organisers: C. Cammarota and M. Tarzia

L. Bottou: Training Deep Networks with Stochastic Gradient Algorithms

J. Kurchan: Rugged phase-spaces and the dynamics within them

S. Mallat: Learning Physics with Multiscale Deep Neural Networks

M. Mézard: Statistical physics of inference

H. Sompolinsky: Statistical Mechanics of Deep Neural Networks

Seminars: F. Krzakala and R. Zecchina

Director: G. Biroli