no code implementations • 22 Mar 2024 • Gijs Bellaard, Sei Sakata, Bart M. N. Smets, Remco Duits
PDE-based Group Convolutional Neural Networks (PDE-G-CNNs) utilize solvers of geometrically meaningful evolution PDEs as substitutes for the conventional components in G-CNNs.
no code implementations • 23 Feb 2024 • Daan Bon, Gautam Pai, Gijs Bellaard, Olga Mula, Remco Duits
We develop a Sinkhorn like algorithm that can be efficiently implemented using fast and accurate distance approximations of the Lie group and GPU-friendly group convolutions.
no code implementations • 3 Oct 2022 • Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets, Remco Duits
Typically, G-CNNs have the advantage over CNNs that they do not waste network capacity on training symmetries that should have been hard-coded in the network.