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Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural
  Networks: Orthogonal Case
v1v2 (latest)

Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case

Journal of Mathematics and Physics (JMP), 2022
12 January 2022
L. Pastur
ArXiv (abs)PDFHTML

Papers citing "Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case"

2 / 2 papers shown
Towards Quantifying the Hessian Structure of Neural Networks
Towards Quantifying the Hessian Structure of Neural Networks
Zhaorui Dong
Yushun Zhang
Jianfeng Yao
Jianfeng Yao
371
5
0
05 May 2025
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit
  Models for High-dimensional Gaussian Mixtures
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling
Longbo Li
Zhanbo Feng
Yixuan Zhang
Feng Zhou
Robert C. Qiu
Zhenyu Liao
345
6
0
05 Feb 2024
1
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