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 • 6 Mar 2024 • Bart M. N. Smets
The course is intended as an introduction to neural networks for mathematics students at the graduate level and aims to make mathematics students interested in further researching neural networks.
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.
