Learning Operators for Symmetry Discovery: From Lie Groups to Local Symmetry Geometry
Continuous symmetry discovery is typically formulated as a separate estimation problem for each function or dataset. We instead investigate whether the map from a function to its symmetry structure can be learned across a family of functions from finite observations. Using the infinitesimal differential characterizatio...