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Abhinav Goel

1 accepted papers

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…

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