May 4, 2021 · This paper analyzes the generalization error of two-layer neural networks for computing the ground state of the Schrödinger operator on a d-dimensional ...

Jan 31, 2022 · Abstract. This paper analyzes the generalization error of two-layer neural networks for computing the ground state of the Schrödinger ...

This paper analyzes the generalization error of two-layer neural networks for computing the ground state of the Schrödinger operator on a $d$-dimensional ...

Jan 31, 2022 · This paper analyzes the generalization error of two-layer neural networks for computing the ground state of the Schrödinger operator on ...

A priori generalization error analysis of two-layer neural networks for solving high dimensional Schrödinger eigenvalue problems.

We derive the generalization error bounds of two-layer neural networks in the frame- work of the DRM for solving two prototype elliptic PDEs: Poisson equation ...

A priori generalization error analysis of two-layer neural networks for solving high dimensional Schrödinger eigenvalue problems. J Lu, Y Lu. Communications ...

Sep 6, 2024 · The aim of this article is to analyze numerical schemes using two-layer neural networks withinfinite width for the resolution of ...

Sep 3, 2024 · A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems · Jianfeng Lu ...

Sep 2, 2024 · A priori generalization error analysis of two-layer neural networks for solving high dimensional Schrödinger eigenvalue problems. Comm. Amer ...