A Random Matrix Theory Approach to Damping in Deep Learning

15 November 2020

Papers citing "A Random Matrix Theory Approach to Damping in Deep Learning"

3 / 3 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
Cleaning large correlation matrices: tools from random matrix theory J. Bun J. Bouchaud M. Potters 27 262 0 25 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016