Learning to Solve PDEs on Neural Shape Representations

This article likely discusses a novel approach to solving Partial Differential Equations (PDEs) using neural networks. The focus is on representing shapes in a way that allows the neural network to learn and solve these equations. The use of neural networks for solving PDEs is a growing area of research, and this work likely contributes to this field by exploring new shape representations.