Tag: symmetries

Improving Equivariant Networks with Probabilistic Symmetry Breaking arXiv:2503.21985v1 Announce Type: cross Abstract: Equivariance encodes known symmetries into neural networks, often enhancing generalization. However, equivariant networks cannot break symmetries: the output of an equivariant network must, by definition, have at least the same self-symmetries as the input. This poses an important problem, both (1) for prediction…