A A
de
Deutsch
English
Menü
Startseite Richter, Dr. Lorenz

Richter, Dr. Lorenz

Kontakt

Room
3360
Phone
+49 30 84185-322
Email
Email
Bereich
Mathematics of Complex Systems
Abteilung
Modeling and Simulation of Complex Processes
Arbeitsgruppe
Computational Molecular Design

Publications

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
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
Improved sampling via learned diffusions 2023 (under review) Lorenz Richter, Julius Berner, Guan-Horng Liu BibTeX
arXiv
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
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
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
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
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
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
Nonasymptotic bounds for suboptimal importance sampling 2021 (under review) Carsten Hartmann, Lorenz Richter BibTeX
arXiv