Scholar
Lorenz Richter
Google Scholar ID: uxlQvnUAAAAJ
dida, Zuse Institute Berlin
machine learning
stochastic optimal control
generative modeling
Monte Carlo methods
PDEs
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Citations & Impact
All-time
Citations
847
H-index
14
i10-index
18
Publications
20
Co-authors
12
list available
Publications
9 items
Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling
2026
Cited
0
Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
2026
Cited
0
Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
2025
Cited
0
Reinforcement Learning with Random Time Horizons
2025
Cited
0
Meta-learning For Few-Shot Time Series Crop Type Classification: A Benchmark On The EuroCropsML Dataset
2025
Cited
0
Underdamped Diffusion Bridges with Applications to Sampling
2025
Cited
0
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
2025
Cited
0
Sequential Controlled Langevin Diffusions
International Conference on Learning Representations · 2024
Cited
28
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Co-authors
11 total
Julius Berner
NVIDIA
Nikolas Nüsken
King's College London
Carsten Hartmann
Professor of Mathematics, BTU Cottbus-Senftenberg
Denis Blessing
PhD Student, Karlsruhe Institute of Technology
Wei Zhang
Researcher at Zuse Institute Berlin and Free University of Berlin
Ludwig Winkler
Microsoft Research
Enric Ribera Borrell
Zuse Institute Berlin & Freie Universität Berlin
Marcin Sendera
PhD Student, Jagiellonian University, Research Intern at Mila - Quebec AI Institute,
