Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
arXiv:2509.24886v3 Announce Type: replace
Abstract: Canonicalization is a widely used strategy in equivariant machine learning, enforcing symmetry in neural networks by mapping each input to a standard form. Yet, it often introduces discontinuities th…