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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

4 May 2021
Jianfeng Lu
Yulong Lu
ArXivPDFHTML

Papers citing "A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems"

13 / 13 papers shown
Title
Space-Time Approximation with Shallow Neural Networks in Fourier
  Lebesgue spaces
Space-Time Approximation with Shallow Neural Networks in Fourier Lebesgue spaces
Ahmed Abdeljawad
Thomas Dittrich
26
2
0
13 Dec 2023
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
Yahong Yang
Yulong Lu
37
3
0
08 Nov 2023
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Jonathan W. Siegel
45
7
0
28 Jul 2023
Embedding Inequalities for Barron-type Spaces
Embedding Inequalities for Barron-type Spaces
Lei Wu
16
0
0
30 May 2023
Efficient Sampling of Stochastic Differential Equations with Positive
  Semi-Definite Models
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Anant Raj
Umut Simsekli
Alessandro Rudi
DiffM
20
1
0
30 Mar 2023
Neural Network Approximations of PDEs Beyond Linearity: A
  Representational Perspective
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
Tanya Marwah
Zachary Chase Lipton
Jianfeng Lu
Andrej Risteski
47
10
0
21 Oct 2022
A Regularity Theory for Static Schrödinger Equations on $\mathbb{R}^d$
  in Spectral Barron Spaces
A Regularity Theory for Static Schrödinger Equations on Rd\mathbb{R}^dRd in Spectral Barron Spaces
Ziang Chen
Jianfeng Lu
Yulong Lu
Sheng-Wei Zhou
21
0
0
25 Jan 2022
Deep Nonparametric Estimation of Operators between Infinite Dimensional
  Spaces
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
Hao Liu
Haizhao Yang
Minshuo Chen
T. Zhao
Wenjing Liao
32
36
0
01 Jan 2022
Interpolating between BSDEs and PINNs: deep learning for elliptic and
  parabolic boundary value problems
Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems
Nikolas Nusken
Lorenz Richter
PINN
DiffM
31
27
0
07 Dec 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen
Jianfeng Lu
Yulong Lu
25
26
0
14 Jun 2021
Solving PDEs on Unknown Manifolds with Machine Learning
Solving PDEs on Unknown Manifolds with Machine Learning
Senwei Liang
Shixiao W. Jiang
J. Harlim
Haizhao Yang
AI4CE
34
16
0
12 Jun 2021
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
446
0
16 Sep 2019
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
1