no code implementations • 29 Sep 2023 • Tuan Le, Julian Cremer, Frank Noé, Djork-Arné Clevert, Kristof Schütt
To further strengthen the applicability of diffusion models to limited training data, we investigate the transferability of EQGAT-diff trained on the large PubChem3D dataset with implicit hydrogen atoms to target different data distributions.
no code implementations • NeurIPS 2017 • Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha
Kernel machines as well as neural networks possess universal function approximation properties.
no code implementations • 22 Nov 2016 • Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
Understanding neural networks is becoming increasingly important.