Gilad Lerman

Feature Learning for the High Dimensional Stationary Schödinger Equation with Deep Ritz Method

Yao Yao, Yulong Lu, Gilad Lerman

This paper investigates feature learning within the framework of the deep Ritz method for solving the stationary Schrödinger equation with Neumann boundary conditions. We first analyze the convergence of Riemannian gradient descent in an agnostic setting, where the hypothesis fun…Read more