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Lorenz Vaitl
Lorenz Vaitl
PhD Candidate, TU Berlin
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
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
192022
Learning trivializing gradient flows for lattice gauge theories
S Bacchio, P Kessel, S Schaefer, L Vaitl
Physical Review D 107 (5), L051504, 2023
182023
Path-gradient estimators for continuous normalizing flows
L Vaitl, KA Nicoli, S Nakajima, P Kessel
International Conference on Machine Learning, 21945-21959, 2022
102022
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, ...
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Articles 1–5