Kontakt

Room
4107
Phone
+49 30 84185-322
Email

Publications

2024
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, Dr. Lorenz
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, Dr. Lorenz
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, Dr. Lorenz
Improved sampling via learned diffusions 2023 (under review) Lorenz Richter, Julius Berner, Guan-Horng Liu BibTeX
arXiv
Richter, Dr. Lorenz
Improving control based importance sampling strategies for metastable diffusions via adapted metadynamics SIAM Journal on Scientific Computing (SISC), pp. S298-S323, 2023 (epub ahead of print) Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte BibTeX
DOI
Richter, Dr. Lorenz
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, Dr. Lorenz
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, Dr. Lorenz
2022
An optimal control perspective on diffusion-based generative modeling NeurIPS 2022 Workshop on Score-Based Methods, 2022 Julius Berner, Lorenz Richter, Karen Ullrich PDF
BibTeX
Richter, Dr. Lorenz
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, Dr. Lorenz
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, Dr. Lorenz