| 2025 | ICLR | Underdamped Diffusion Bridges with Applications to Sampling. | Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann |
| 2025 | ICLR | Sequential Controlled Langevin Diffusions. | Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, Anima Anandkumar |
| 2025 | ICML | Reinforcement Learning with Random Time Horizons. | Enric Ribera Borrell, Lorenz Richter, Christof Schtte |
| 2024 | ICLR | Improved sampling via learned diffusions. | Lorenz Richter, Julius Berner |
| 2024 | ICLR | Fast and unified path gradient estimators for normalizing flows. | Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel |
| 2024 | ICML | Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models. | Ludwig Winkler, Lorenz Richter, Manfred Opper |
| 2022 | ICML | Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning. | Lorenz Richter, Julius Berner |
| 2021 | ICML | Solving high-dimensional parabolic PDEs using the tensor train format. | Lorenz Richter, Leon Sallandt, Nikolas Nsken |