| Transport meets variational inference: Controlled monte carlo diffusions F Vargas, S Padhy, D Blessing, N Nüsken arXiv preprint arXiv:2307.01050, 2023 | 37* | 2023 |
| EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos B Schott, M Traub, C Schlagenhauf, M Takamiya, T Antritter, A Bartschat, ... PLOS Computational Biology 14 (4), e1006128, 2018 | 32 | 2018 |
| Towards diverse behaviors: A benchmark for imitation learning with human demonstrations X Jia, D Blessing, X Jiang, M Reuss, A Donat, R Lioutikov, G Neumann arXiv preprint arXiv:2402.14606, 2024 | 23 | 2024 |
| Beyond ELBOs: A large-scale evaluation of variational methods for sampling D Blessing, X Jia, J Esslinger, F Vargas, G Neumann arXiv preprint arXiv:2406.07423, 2024 | 15 | 2024 |
| Information maximizing curriculum: A curriculum-based approach for learning versatile skills D Blessing, O Celik, X Jia, M Reuss, M Li, R Lioutikov, G Neumann Advances in Neural Information Processing Systems 36, 51536-51561, 2023 | 15* | 2023 |
| Mail: Improving imitation learning with selective state space models X Jia, Q Wang, A Donat, B Xing, G Li, H Zhou, O Celik, D Blessing, ... 8th Annual Conference on Robot Learning, 2024 | 13* | 2024 |
| Digital Image Processing and Deep Neural Networks in Ophthalmology-Current Trends A Bartschat, S Allgeier, S Bohn, T Scherr, D Blessing, KM Reichert, ... Klinische Monatsblatter fur Augenheilkunde 236 (12), 1399-1406, 2019 | 5* | 2019 |
| Sequential controlled langevin diffusions J Chen, L Richter, J Berner, D Blessing, G Neumann, A Anandkumar arXiv preprint arXiv:2412.07081, 2024 | 4 | 2024 |
| Curriculum-based imitation of versatile skills MX Li, O Celik, P Becker, D Blessing, R Lioutikov, G Neumann 2023 IEEE International Conference on Robotics and Automation (ICRA), 2951-2957, 2023 | 4 | 2023 |
| Variational distillation of diffusion policies into mixture of experts H Zhou, D Blessing, G Li, O Celik, X Jia, G Neumann, R Lioutikov Advances in Neural Information Processing Systems 37, 12739-12766, 2025 | 1 | 2025 |
| Underdamped diffusion bridges with applications to sampling D Blessing, J Berner, L Richter, G Neumann The Thirteenth International Conference on Learning Representations, 2025 | 1 | 2025 |
| Towards Fusing Point Cloud and Visual Representations for Imitation Learning A Donat, X Jia, X Huang, A Taranovic, D Blessing, G Li, H Zhou, H Zhang, ... arXiv preprint arXiv:2502.12320, 2025 | | 2025 |
| X-IL: Exploring the Design Space of Imitation Learning Policies X Jia, A Donat, X Huang, X Zhao, D Blessing, H Zhou, H Zhang, HA Wang, ... arXiv preprint arXiv:2502.12330, 2025 | | 2025 |
| DIME: Diffusion-Based Maximum Entropy Reinforcement Learning O Celik, Z Li, D Blessing, G Li, D Palanicek, J Peters, G Chalvatzaki, ... arXiv preprint arXiv:2502.02316, 2025 | | 2025 |
| End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler D Blessing, X Jia, G Neumann The Thirteenth International Conference on Learning Representations, 0 | | |
| CANCELLED-Sampling with Stochastic Bridges J Berner, L Richter, D Blessing, J Chen 2025 Joint Mathematics Meetings (JMM 2025), 0 | | |
