Unlock: Equivariant Deep Learning

Networks that respect symmetry: if the input transforms under a group action, the output transforms predictably. Equivariance generalizes translation equivariance in CNNs to rotations, permutations, and gauge symmetries, reducing sample complexity and improving generalization on structured data.