Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

25 Feb 2020Marc FinziSamuel StantonPavel IzmailovAndrew Gordon Wilson

The translation equivariance of convolutional layers enables convolutional neural networks to generalize well on image problems. While translation equivariance provides a powerful inductive bias for images, we often additionally desire equivariance to other transformations, such as rotations, especially for non-image data... (read more)

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