On Random Matrices Arising in Deep Neural Networks. Gaussian Case

17 January 2020

Papers citing "On Random Matrices Arising in Deep Neural Networks. Gaussian Case"

7 / 7 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 32 4 0 17 May 2022
Concentration of Random Feature Matrices in High-Dimensions Zhijun Chen Hayden Schaeffer Rachel A. Ward 24 6 0 14 Apr 2022
Conditioning of Random Feature Matrices: Double Descent and Generalization Error Zhijun Chen Hayden Schaeffer 37 12 0 21 Oct 2021
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case B. Collins Tomohiro Hayase 22 7 0 24 Mar 2021
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case L. Pastur V. Slavin CML 24 12 0 20 Nov 2020
Tensor Programs III: Neural Matrix Laws Greg Yang 19 45 0 22 Sep 2020
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry Tomohiro Hayase Ryo Karakida 29 7 0 14 Jun 2020