Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith
TL;DR文章讨论了神经网络在物理规律中对称性的应用，提出了基于张量和标量方法的普适逼近算法。
Abstract
There has been enormous progress in the last few years in designing neural
networks that respect the fundamental symmetries and coordinate freedoms of
physical law. Some of these frameworks make use of irreducible representations,
some make use of high-order tensor objects, and some ap