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Maximal Information Divergence from Statistical Models defined by Neural
  Networks

Maximal Information Divergence from Statistical Models defined by Neural Networks

1 March 2013
Guido Montúfar
Johannes Rauh
Nihat Ay
ArXivPDFHTML

Papers citing "Maximal Information Divergence from Statistical Models defined by Neural Networks"

7 / 7 papers shown
Title
Expressive Power and Approximation Errors of Restricted Boltzmann
  Machines
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido Montúfar
Johannes Rauh
Nihat Ay
106
52
0
12 Jun 2014
Universal Approximation Depth and Errors of Narrow Belief Networks with
  Discrete Units
Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units
Guido Montúfar
157
40
0
29 Mar 2013
Discrete Restricted Boltzmann Machines
Discrete Restricted Boltzmann Machines
Guido Montúfar
Jason Morton
75
31
0
15 Jan 2013
Kernels and Submodels of Deep Belief Networks
Kernels and Submodels of Deep Belief Networks
Guido Montúfar
Jason Morton
BDL
62
2
0
05 Nov 2012
Scaling of Model Approximation Errors and Expected Entropy Distances
Scaling of Model Approximation Errors and Expected Entropy Distances
Guido Montúfar
Johannes Rauh
63
8
0
14 Jul 2012
Optimally approximating exponential families
Optimally approximating exponential families
Johannes Rauh
75
6
0
02 Nov 2011
Refinements of Universal Approximation Results for Deep Belief Networks
  and Restricted Boltzmann Machines
Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines
Guido Montúfar
Nihat Ay
102
91
0
10 May 2010
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