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A Universal Approximation Theorem of Deep Neural Networks for Expressing
  Probability Distributions

A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

19 April 2020
Yulong Lu
Jianfeng Lu
ArXivPDFHTML

Papers citing "A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions"

2 / 2 papers shown
Title
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
1