Kontakt

Room
4107
Phone
+49 30 84185-322
Email

Publications

2024
An optimal control perspective on diffusion-based generative modeling Transactions on Machine Learning Research, 2024 Julius Berner, Lorenz Richter, Karen Ullrich BibTeX
Richter, Lorenz, Dr.
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models Proceedings of the 41st International Conference on Machine Learning, pp. 53017-53038, Vol.235, PMLR, 2024 Ludwig Winkler, Lorenz Richter, Manfred Opper BibTeX
arXiv
Richter, Lorenz, Dr.
Dynamical Measure Transport and Neural PDE Solvers for Sampling arxiv, p. arXiv:2407.07873, 2024 Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar BibTeX
arXiv
Richter, Lorenz, Dr.
Fast and unified path gradient estimators for normalizing flows International Conference on Learning Representations 2024, 2024 Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel BibTeX
arXiv
Richter, Lorenz, Dr.
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs Journal of Machine Learning Research, Vol.25, p. 248, 2024 Lorenz Richter, Leon Sallandt, Nikolas Nüsken BibTeX
arXiv
Richter, Lorenz, Dr.
Improved sampling via learned diffusions International Conference on Learning Representations 2024, 2024 Lorenz Richter, Julius Berner BibTeX
arXiv
Richter, Lorenz, Dr.
Nonasymptotic bounds for suboptimal importance sampling SIAM/ASA Journal on Uncertainty Quantification, 12(2), pp. 309-346, 2024 Carsten Hartmann, Lorenz Richter BibTeX
arXiv
DOI
Richter, Lorenz, Dr.
2023
Deep-learning-based visual inspection of facets and p-sides for efficient quality control of diode lasers High-Power Diode Laser Technology XXI, pp. 94-112, Vol.12403, 2023 Christof Zink, Michael Ekterai, Dominik Martin, William Clemens, Angela Maennel, Konrad Mundinger, Lorenz Richter, Paul Crump, Andrea Knigge BibTeX
DOI
Richter, Lorenz, Dr.
Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention Remote Sensing, 15(3), p. 799, 2023 Frank Weilandt, Robert Behling, Romulo Goncalves, Arash Madadi, Lorenz Richter, Tiago Sanona, Daniel Spengler, Jona Welsch BibTeX
DOI
Richter, Lorenz, Dr.
Improving control based importance sampling strategies for metastable diffusions via adapted metadynamics SIAM Journal on Scientific Computing (SISC), 89(1), 2023 Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte BibTeX
DOI
Richter, Lorenz, Dr.
Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems Journal of Machine Learning, 2(1), pp. 31-64, 2023 Nikolas Nüsken, Lorenz Richter BibTeX
arXiv
DOI
Richter, Lorenz, Dr.
Transgressing the Boundaries: Towards a Rigorous Understanding of Deep Learning and Its (Non )Robustness AI - Limits and Prospects of Artificial Intelligence, Peter Klimczak, Christer Petersen (Eds.), transcript Verlag, pp. 43-82, 2023 Carsten Hartmann, Lorenz Richter BibTeX
arXiv
DOI
Richter, Lorenz, Dr.
2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning Proceedings of the 39th International Conference on Machine Learning, PMLR, pp. 18649-18666, Vol.162, 2022 Lorenz Richter, Julius Berner PDF
BibTeX
Richter, Lorenz, Dr.
2021
Improving control based importance sampling strategies for metastable diffusions via adapted metadynamics ZIB-Report 21-40 Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte PDF
BibTeX
Richter, Lorenz, Dr.