Symmetry From Scratch: Group Equivariance as a Supervised Learning Task

Haozhe Huang, Leo Kaixuan Cheng, Kaiwen Chen +1

In machine learning datasets with symmetries, the paradigm for backward compatibility with symmetry-breaking has been to relax equivariant architectural constraints, engineering ex…