Blessing, Denis

17 publications

ICML 2025 DIME: Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

ICLRW 2025 Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

ICLR 2025 End-to-End Learning of Gaussian Mixture Priors for Diffusion Sampler Denis Blessing, Xiaogang Jia, Gerhard Neumann

NeurIPS 2025 MaNGO — Adaptable Graph Network Simulators via Meta-Learning Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann

NeurIPS 2025 Scaffolding Dexterous Manipulation with Vision-Language Models Vincent de Bakker, Joey Hejna, Tyler Ga Wei Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing, Gerhard Neumann, Jeannette Bohg, Dorsa Sadigh

ICLR 2025 Sequential Controlled Langevin Diffusions Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, Anima Anandkumar

ICLRW 2025 Towards Fusing Point Cloud and Visual Representations for Imitation Learning Atalay Donat, Xiaogang Jia, Xi Huang, Aleksandar Taranovic, Denis Blessing, Ge Li, Hongyi Zhou, Hanyi Zhang, Rudolf Lioutikov, Gerhard Neumann

NeurIPS 2025 Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo-Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann

ICLR 2025 Underdamped Diffusion Bridges with Applications to Sampling Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann

ICLRW 2025 Underdamped Diffusion Bridges with Applications to Sampling Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann

ICLRW 2025 X-IL: Exploring the Design Space of Imitation Learning Policies Xiaogang Jia, Atalay Donat, Xi Huang, Xuan Zhao, Denis Blessing, Hongyi Zhou, Hanyi Zhang, Han A. Wang, Qian Wang, Rudolf Lioutikov, Gerhard Neumann

ICML 2024 Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann

CoRL 2024 MaIL: Improving Imitation Learning with Selective State Space Models Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

ICLR 2024 Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann

ICLR 2024 Transport Meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken

NeurIPS 2024 Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

NeurIPS 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann