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The Spectrum of Fisher Information of Deep Networks Achieving Dynamical
  Isometry
v1v2v3v4 (latest)

The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry

14 June 2020
Tomohiro Hayase
Ryo Karakida
ArXiv (abs)PDFHTML

Papers citing "The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry"

7 / 7 papers shown
Title
Efficient Activation Function Optimization through Surrogate Modeling
Efficient Activation Function Optimization through Surrogate Modeling
G. Bingham
Risto Miikkulainen
142
2
0
13 Jan 2023
Dynamical Isometry for Residual Networks
Dynamical Isometry for Residual Networks
Advait Gadhikar
R. Burkholz
ODLAI4CE
124
2
0
05 Oct 2022
Deformed semicircle law and concentration of nonlinear random matrices
  for ultra-wide neural networks
Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks
Zhichao Wang
Yizhe Zhu
141
22
0
20 Sep 2021
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of
  Multilayer Perceptron: The Haar Orthogonal Case
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
B. Collins
Tomohiro Hayase
101
8
0
24 Mar 2021
Exact Convergence Rates of the Neural Tangent Kernel in the Large Depth
  Limit
Exact Convergence Rates of the Neural Tangent Kernel in the Large Depth Limit
Soufiane Hayou
Arnaud Doucet
Judith Rousseau
151
4
0
31 May 2019
A Geometric Modeling of Occam's Razor in Deep Learning
A Geometric Modeling of Occam's Razor in Deep Learning
Ke Sun
Frank Nielsen
109
5
0
27 May 2019
Universal Statistics of Fisher Information in Deep Neural Networks: Mean
  Field Approach
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
344
152
0
04 Jun 2018
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