Denis Blessing

According to our database, Denis Blessing authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Variational Distillation of Diffusion Policies into Mixture of Experts.

Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

CoRR, 2024

MaIL: Improving Imitation Learning with Mamba.

Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2024

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling.

Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Transport meets Variational Inference: Controlled Monte Carlo Diffusions.

Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curriculum-Based Imitation of Versatile Skills.

Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2018

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.

Benjamin Schott, Manuel Traub, Cornelia Schlagenhauf, Masanari Takamiya, Thomas Antritter, Andreas Bartschat, Katharina Löffler, Denis Blessing, Jens C. Otte, Andrei Kobitski, G. Ulrich Nienhaus, Uwe Strähle, Ralf Mikut, Johannes Stegmaier

PLoS Comput. Biol., 2018