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Math @ Duke
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Publications [#361670] of Jianfeng Lu
Papers Published
- Lu, J; Lu, Y, A Priori Generalization Error Analysis of Two-Layer Neural Networks for
Solving High Dimensional Schrödinger Eigenvalue Problems
(May, 2021)
(last updated on 2026/01/15)
Abstract: This paper analyzes the generalization error of two-layer neural networks for
computing the ground state of the Schr\"odinger operator on a $d$-dimensional
hypercube. We prove that the convergence rate of the generalization error is
independent of the dimension $d$, under the a priori assumption that the ground
state lies in a spectral Barron space. We verify such assumption by proving a
new regularity estimate for the ground state in the spectral Barron space. The
later is achieved by a fixed point argument based on the Krein-Rutman theorem.
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