Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space

Daniel Franzen, Jean Philip Filling, Michael Wand

Group-convolutional neural networks (GCNNs) are among the most important methods for introducing symmetry as an inductive bias in deep learning: In each linear layer, GCNNs sample…