Lorenz Richter

Postdoc@Zuse Institute Berlin·德国·OpenReview

研究方向

stochastic processes · diffusion models · sampling · Monte Carlo methods · stochastic optimal control · backward stochastic differential equations · PDE approximation

4.0

Tensor Train Diffusion: A Fast Solver for High-Dimensional Sampling

ICLR 2026Rejected

通讯

8.2

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference

NeurIPS 2025Spotlight

三作

6.8

From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training

合作者 (18)

Carles Domingo-Enrich

1 篇

Lorenz Richter

Tensor Train Diffusion: A Fast Solver for High-Dimensional Sampling

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference

Underdamped Diffusion Bridges with Applications to Sampling

Sequential Controlled Langevin Diffusions

Reinforcement Learning with Random Time Horizons

From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training