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Building Efficient Deep Neural Networks with Unitary Group Convolutions

Unitary group convolutions (UGConvs) are a building block for neural networks that combines a group convolution with unitary transforms in feature space.

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Cite this as

Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang (2024). Dataset: Building Efficient Deep Neural Networks with Unitary Group Convolutions. https://doi.org/10.57702/pu315jm0

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Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1811.07755
Author Ritchie Zhao
More Authors
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang