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Mehler's Formula, Branching Process, and Compositional Kernels of Deep
  Neural Networks

Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks

9 April 2020
Tengyuan Liang
Hai Tran-Bach
ArXivPDFHTML

Papers citing "Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks"

3 / 3 papers shown
Title
Deep Networks and the Multiple Manifold Problem
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
39
0
25 Aug 2020
A Precise High-Dimensional Asymptotic Theory for Boosting and
  Minimum-$\ell_1$-Norm Interpolated Classifiers
A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-ℓ1\ell_1ℓ1​-Norm Interpolated Classifiers
Tengyuan Liang
Pragya Sur
33
68
0
05 Feb 2020
Trainability and Accuracy of Neural Networks: An Interacting Particle
  System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
59
118
0
02 May 2018
1