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

Richter, Lorenz, Dr.

Kontakt

Position
Personal
Raum
4107
Telefon
+49 30 84185-322
E-Mail
E-Mail
Bereich
Mathematics of Complex Systems
Abteilung
Modeling and Simulation of Complex Processes
Arbeitsgruppe
Computational Molecular Design

Publikationen

2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training 2025 (under review) Julius Berner, Lorenz Richter, Marcin Sendera, Jarrid Rector-Brooks, Nikolay Malkin BibTeX
arXiv
Meta-learning For Few-Shot Time Series Crop Type Classification: A Benchmark On The EuroCropsML Dataset 2025 (under review) Joana Reuss, Jan Macdonald, Simon Becker, Konrad Schultka, Lorenz Richter, Marco Körner BibTeX
arXiv
Reinforcement Learning with Random Time Horizons International Conference on Machine Learning 2025, 2025 (accepted for publication) Enric Ribera Borrell, Lorenz Richter, Christof Schütte BibTeX
arXiv
Sequential Controlled Langevin Diffusions International Conference on Learning Representations 2025, 2025 (accepted for publication) Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, Anima Anandkumar BibTeX
arXiv
The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe Scientific Data, Vol.12, 2025 Joana Reuss, Jan Macdonald, Simon Becker, Lorenz Richter, Marco Körner BibTeX
DOI
Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference 2025 (under review) Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo-Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann BibTeX
arXiv
Underdamped Diffusion Bridges with Applications to Sampling International Conference on Learning Representations 2025, 2025 (accepted for publication) Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann BibTeX
arXiv
2024
An optimal control perspective on diffusion-based generative modeling Transactions on Machine Learning Research, 2024 Julius Berner, Lorenz Richter, Karen Ullrich BibTeX
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
Dynamical Measure Transport and Neural PDE Solvers for Sampling 2024 Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar BibTeX
arXiv
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
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
Improved sampling via learned diffusions International Conference on Learning Representations 2024, 2024 Lorenz Richter, Julius Berner BibTeX
arXiv
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
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
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
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
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