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Neural network identifiability for a family of sigmoidal nonlinearities
v1v2v3 (latest)

Neural network identifiability for a family of sigmoidal nonlinearities

11 June 2019
Verner Vlacic
Helmut Bölcskei
ArXiv (abs)PDFHTML

Papers citing "Neural network identifiability for a family of sigmoidal nonlinearities"

4 / 4 papers shown
Title
Optimal approximation of piecewise smooth functions using deep ReLU
  neural networks
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
P. Petersen
Felix Voigtländer
225
475
0
15 Sep 2017
Optimal Approximation with Sparsely Connected Deep Neural Networks
Optimal Approximation with Sparsely Connected Deep Neural Networks
Helmut Bölcskei
Philipp Grohs
Gitta Kutyniok
P. Petersen
199
256
0
04 May 2017
A Mathematical Theory of Deep Convolutional Neural Networks for Feature
  Extraction
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski
Helmut Bölcskei
FAtt
88
366
0
19 Dec 2015
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
123
991
0
12 Jan 2011
1