Beyond Random Matrix Theory for Deep Networks

13 June 2020

Papers citing "Beyond Random Matrix Theory for Deep Networks"

5 / 5 papers shown

Title
Universal characteristics of deep neural network loss surfaces from random matrix theory Nicholas P. Baskerville J. Keating F. Mezzadri J. Najnudel Diego Granziol 22 4 0 17 May 2022
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping Xuran Meng Jianfeng Yao 19 7 0 26 Nov 2021
Appearance of Random Matrix Theory in Deep Learning Nicholas P. Baskerville Diego Granziol J. Keating 15 11 0 12 Feb 2021
Cleaning large correlation matrices: tools from random matrix theory J. Bun J. Bouchaud M. Potters 32 262 0 25 Oct 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014