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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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Cite this as

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

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Additional Info

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