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Mean Field Analysis of Neural Networks: A Central Limit Theorem

Mean Field Analysis of Neural Networks: A Central Limit Theorem

28 August 2018
Justin A. Sirignano
K. Spiliopoulos
    MLT
ArXivPDFHTML

Papers citing "Mean Field Analysis of Neural Networks: A Central Limit Theorem"

4 / 54 papers shown
Title
Theory of the Frequency Principle for General Deep Neural Networks
Theory of the Frequency Principle for General Deep Neural Networks
Tao Luo
Zheng Ma
Zhi-Qin John Xu
Yaoyu Zhang
26
78
0
21 Jun 2019
Maximum Mean Discrepancy Gradient Flow
Maximum Mean Discrepancy Gradient Flow
Michael Arbel
Anna Korba
Adil Salim
Arthur Gretton
27
159
0
11 Jun 2019
Analysis of the Gradient Descent Algorithm for a Deep Neural Network
  Model with Skip-connections
Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
E. Weinan
Chao Ma
Qingcan Wang
Lei Wu
MLT
32
22
0
10 Apr 2019
Unbiased deep solvers for linear parametric PDEs
Unbiased deep solvers for linear parametric PDEs
Marc Sabate Vidales
David Siska
Lukasz Szpruch
OOD
26
7
0
11 Oct 2018
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