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We propose to study equivariance in deep neural networks through parameter symmetries.
Permutation groups through invariant relations and invariant functions
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Automorphism groups of graphical models and lifted variational inference
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Imagenet classification with deep convolutional neural networks
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Understanding image representations by measuring their equivariance and equivalence
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Henaff, Mikael, Bruna, Joan, and LeCun, Yann · 2015
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Cohen, Taco S and Welling, Max
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Cohen, Taco S and Welling, Max
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