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Optimal Deep Neural Network Approximation for Korobov Functions with
  respect to Sobolev Norms

Optimal Deep Neural Network Approximation for Korobov Functions with respect to Sobolev Norms

8 November 2023
Yahong Yang
Yulong Lu
ArXivPDFHTML

Papers citing "Optimal Deep Neural Network Approximation for Korobov Functions with respect to Sobolev Norms"

6 / 6 papers shown
Title
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANs
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
37
9
0
02 Oct 2024
Deeper or Wider: A Perspective from Optimal Generalization Error with
  Sobolev Loss
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
Yahong Yang
Juncai He
AI4CE
29
7
0
31 Jan 2024
A Priori Generalization Error Analysis of Two-Layer Neural Networks for
  Solving High Dimensional Schrödinger Eigenvalue Problems
A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems
Jianfeng Lu
Yulong Lu
31
29
0
04 May 2021
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
101
115
0
28 Feb 2021
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions
  with $ \ell^1 $ and $ \ell^0 $ Controls
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
127
142
0
26 Jul 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
136
602
0
14 Feb 2016
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