Dominik Baumann
Assistant Professor
Assistant Professor
T410 Dept. Electrical Engineering and Automation
Dominik Baumann is an Assistant Professor at Aalto University since 2023. His research interests revolve around systems and control theory, machine learning, and communication networks.
Full researcher profile
https://research.aalto.fi/...
Email
dominik.baumann@aalto.fi
Phone number
+358504773899
Areas of expertise
213 Electronic, automation and communications engineering, electronics, Automation and systems technology
Honors and awards
Future Award
2019 Future Award of the Ewald Marquardt Foundation
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2019
Best Demo Award
Best Demo Award at the 2019 ACM/IEEE International Conference on Information Processing in Sensor Networks
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2019
Best Paper Award
Best Paper Award at the 2019 ACM/IEEE International Conference on Cyber-Physical Systems
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2019
Research groups
- Cyber-physical Systems
Publications
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations
Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
2025
Transactions on Machine Learning Research
Safety and optimality in learning-based control at low computational cost
Dominik Baumann, Krzysztof Kowalczyk, Cristian R. Rojas, Koen Tiels, Paweł Wachel
2025
IEEE Transactions on Automatic Control
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability
Mingwei Deng, Ville Kyrki, Dominik Baumann
2025
Proceedings of the Conference on Causal Learning and Reasoning
A Lightweight Crowd Model for Robot Social Navigation
Maryam Kazemi Eskeri, Thomas Wiedemann, Ville Kyrki, Dominik Baumann, Tomasz Piotr Kucner
2025
2025 European Conference on Mobile Robots, ECMR 2025 - Proceedings
Simulation-Aided Policy Tuning for Black-Box Robot Learning
Shiming He, Alexander von Rohr, Dominik Baumann, Ji Xiang, Sebastian Trimpe
2025
IEEE Transactions on Robotics
Efficient Human-Aware Task Allocation for Multi-Robot Systems in Shared Environments
Maryam Kazemi Eskeri, Ville Kyrki, Dominik Baumann, Tomasz Kucner
2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems
Compensating Latent Nonlinear Dynamics for Practical Consensus Control
Krzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Paweł Wachel
2025
Geometry-Inspired Unified Framework for Discounted and Average Reward MDPs
Arsenii Mustafin, Xinyi Sheng, Dominik Baumann
2025
arXiv.org
Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Xinyi Sheng, Dominik Baumann
2025
IEEE Conference on Decision and Control
PACSBO: Probably approximately correct safe Bayesian optimization
Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2025
Proceedings of the Symposium on Systems Theory in Data and Optimization