2026
Any-Subgroup Equivariant Networks via Symmetry Breaking
ICLR 2026poster
The inclusion of symmetries as an inductive bias, known as *equivariance*, often improves generalization on geometric data (e.g. grids, sets, and graphs). However, equivariant architectures are usually highly constrained, designed for symmetries chosen *a priori*, and not applicable to datasets with…