Quantitative Propagation of Chaos for SGD in Wide Neural Networks

13 July 2020

Papers citing "Quantitative Propagation of Chaos for SGD in Wide Neural Networks"

7 / 7 papers shown

Title
Emergence of meta-stable clustering in mean-field transformer models Giuseppe Bruno Federico Pasqualotto Andrea Agazzi 45 6 0 30 Oct 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 29 2 0 30 May 2024
Nonlinear Hamiltonian Monte Carlo & its Particle Approximation Nawaf Bou-Rabee Katharina Schuh 18 7 0 22 Aug 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference Arnaud Descours Tom Huix Arnaud Guillin Manon Michel Eric Moulines Boris Nectoux BDL 24 1 0 10 Jul 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 22 10 0 23 Mar 2023
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks A. Shevchenko Vyacheslav Kungurtsev Marco Mondelli MLT 25 13 0 03 Nov 2021
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 175 1,185 0 30 Nov 2014