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Comparing Information-Theoretic Measures of Complexity in Boltzmann
  Machines
v1v2 (latest)

Comparing Information-Theoretic Measures of Complexity in Boltzmann Machines

29 June 2017
Maxinder S. Kanwal
Joshua A. Grochow
Nihat Ay
ArXiv (abs)PDFHTML

Papers citing "Comparing Information-Theoretic Measures of Complexity in Boltzmann Machines"

3 / 3 papers shown
Geometry Perspective Of Estimating Learning Capability Of Neural
  Networks
Geometry Perspective Of Estimating Learning Capability Of Neural Networks
Ankan Dutta
Arnab Rakshit
226
1
0
03 Nov 2020
Tangent Space Sensitivity and Distribution of Linear Regions in ReLU
  Networks
Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks
Balint Daroczy
AAML
115
0
0
11 Jun 2020
Tangent Space Separability in Feedforward Neural Networks
Tangent Space Separability in Feedforward Neural Networks
Balint Daroczy
Rita Aleksziev
András A. Benczúr
143
3
0
18 Dec 2019
1
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