Search Results for author: Jakob Maier

Found 1 papers, 0 papers with code

On Non-Linear operators for Geometric Deep Learning

no code implementations6 Jul 2022 Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna, Edouard Oyallon

In the context of Neural Networks defined over $\mathcal{M}$, it indicates that point-wise non-linear operators are the only universal family that commutes with any group of symmetries, and justifies their systematic use in combination with dedicated linear operators commuting with specific symmetries.

Cannot find the paper you are looking for? You can Submit a new open access paper.