Richter, Dr. Lorenz

Position:

Staff

Room:

3360

Division:

Mathematics of Complex Systems

Department:

Modeling and Simulation of Complex Processes

Research group:

Computational Molecular Design

Mail:

richter

zib.de

Phone:

+49 30 841 85 - 322

Publications

2023 2022 2021

2023
Christof Zink, Michael Ekterai, Dominik Martin, William Clemens, Angela Maennel, Konrad Mundinger, Lorenz Richter, Paul Crump, Andrea Knigge	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	BibTeX DOI
Frank Weilandt, Robert Behling, Romulo Goncalves, Arash Madadi, Lorenz Richter, Tiago Sanona, Daniel Spengler, Jona Welsch	Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention	Remote Sensing, 15(3), p. 799, 2023	BibTeX DOI
Lorenz Richter, Julius Berner, Guan-Horng Liu	Improved sampling via learned diffusions	2023 (under review)	BibTeX arXiv
Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte	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)	BibTeX DOI
Nikolas Nüsken, Lorenz Richter	Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems	Journal of Machine Learning, 2(1), pp. 31-64, 2023	BibTeX arXiv DOI
Carsten Hartmann, Lorenz Richter	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	BibTeX arXiv DOI
2022
Julius Berner, Lorenz Richter, Karen Ullrich	An optimal control perspective on diffusion-based generative modeling	NeurIPS 2022 Workshop on Score-Based Methods, 2022	PDF BibTeX
Lorenz Richter, Julius Berner	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	PDF BibTeX
2021
Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte	Improving control based importance sampling strategies for metastable diffusions via adapted metadynamics	ZIB-Report 21-40	PDF BibTeX
Carsten Hartmann, Lorenz Richter	Nonasymptotic bounds for suboptimal importance sampling	2021 (under review)	BibTeX arXiv