Group Equivariant Convolutional Networks

We introduce Group equivariant Convolutional Neural Networks (G-CNNs), a natural generalization of convolutional neural networks that reduces sample complexity by exploiting symmetries.

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Taco S. Cohen, Max Welling (2024). Dataset: Group Equivariant Convolutional Networks. https://doi.org/10.57702/nxt97nbg

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1602.07576
Author Taco S. Cohen
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Max Welling