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Deep Neural Network Approximation Theory

Deep Neural Network Approximation Theory

8 January 2019
Dennis Elbrächter
Dmytro Perekrestenko
Philipp Grohs
Helmut Bölcskei
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Papers citing "Deep Neural Network Approximation Theory"

5 / 105 papers shown
Title
Rectified deep neural networks overcome the curse of dimensionality for
  nonsmooth value functions in zero-sum games of nonlinear stiff systems
Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems
C. Reisinger
Yufei Zhang
14
69
0
15 Mar 2019
Error bounds for approximations with deep ReLU neural networks in
  $W^{s,p}$ norms
Error bounds for approximations with deep ReLU neural networks in Ws,pW^{s,p}Ws,p norms
Ingo Gühring
Gitta Kutyniok
P. Petersen
28
199
0
21 Feb 2019
Solving the Kolmogorov PDE by means of deep learning
Solving the Kolmogorov PDE by means of deep learning
C. Beck
S. Becker
Philipp Grohs
Nor Jaafari
Arnulf Jentzen
24
91
0
01 Jun 2018
Optimal Approximation with Sparsely Connected Deep Neural Networks
Optimal Approximation with Sparsely Connected Deep Neural Networks
Helmut Bölcskei
Philipp Grohs
Gitta Kutyniok
P. Petersen
41
255
0
04 May 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise
  linear neural networks
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
Peter L. Bartlett
Nick Harvey
Christopher Liaw
Abbas Mehrabian
30
425
0
08 Mar 2017
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