Gradients should stay on path: better estimators of the reverse-and forward KL divergence for normalizing flows L Vaitl, KA Nicoli, S Nakajima, P Kessel Machine Learning: Science and Technology 3 (4), 045006, 2022 | 19 | 2022 |
Learning trivializing gradient flows for lattice gauge theories S Bacchio, P Kessel, S Schaefer, L Vaitl Physical Review D 107 (5), L051504, 2023 | 18 | 2023 |
Path-gradient estimators for continuous normalizing flows L Vaitl, KA Nicoli, S Nakajima, P Kessel International Conference on Machine Learning, 21945-21959, 2022 | 10 | 2022 |
Fast and unified path gradient estimators for normalizing flows L Vaitl, L Winkler, L Richter, P Kessel arXiv preprint arXiv:2403.15881, 2024 | | 2024 |
Eingebettete Rezirkulationsmessung für eine ECLA-Therapie J Kühn, L Vaitl, A Stollenwerk, C Brendle, M Walter, S Leonhardt, ... | | |