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Mean Field Residual Networks: On the Edge of Chaos

Mean Field Residual Networks: On the Edge of Chaos

Greg Yang
S. Schoenholz
ArXiv (abs)PDFHTML

Papers citing "Mean Field Residual Networks: On the Edge of Chaos"

5 / 5 papers shown
Title
Scaling ResNets in the Large-depth Regime
Scaling ResNets in the Large-depth Regime
Pierre Marion
Adeline Fermanian
Gérard Biau
Jean-Philippe Vert
70
16
0
14 Jun 2022
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
121
201
0
28 Oct 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
159
146
0
04 Jun 2018
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
90
595
0
16 Jun 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016

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