Analysis of (sub-)Riemannian PDE-G-CNNs
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DOI: 10.48550/arxiv.2210.00935
Abstract: Group equivariant convolutional neural networks (G-CNNs) have been successfully applied in geometric deep learning. Typically, G-CNNs have the advantage over CNNs that they do not waste network capacity on training symmetries that should have been… read more here.
Keywords: sub riemannian; network; pde cnns; cnns ... See more keywords