With a strong enough non-equivariance penalty, regularized augmented gradient flow converges exponentially fast to the equivariant subspace.
Provably strict generalisation benefit for equivariant models,
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Data Augmentation and Regularization for Learning Group Equivariance
With a strong enough non-equivariance penalty, regularized augmented gradient flow converges exponentially fast to the equivariant subspace.