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Regular Group Convolutions
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
Group convolutional neural networks (G-CNNs) have been shown to increase parameter efficiency and model accuracy by incorporating geometric inductive biases. In this work, we investigate the properties of representations learned by regular G-CNNs, …
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