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/...
Sähköposti
[email protected]
Puhelinnumero
+358504773899
Osaamisalueet
213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka, Automaatio- ja systeemitekniikka
Palkinnot
Future Award
2019 Future Award of the Ewald Marquardt Foundation
Palkinto tai huomionosoitus tuotoksesta
Sähkötekniikan ja automaation laitos
Jan 2019
Best Demo Award
Best Demo Award at the 2019 ACM/IEEE International Conference on Information Processing in Sensor Networks
Palkinto tai huomionosoitus tuotoksesta
Sähkötekniikan ja automaation laitos
Jan 2019
Best Paper Award
Best Paper Award at the 2019 ACM/IEEE International Conference on Cyber-Physical Systems
Palkinto tai huomionosoitus tuotoksesta
Sähkötekniikan ja automaation laitos
Jan 2019
Tutkimusryhmät
- Cyber-physical Systems
Julkaisut
A computationally lightweight safe learning algorithm
Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Paweł Wachel
2024
2023 62nd IEEE Conference on Decision and Control, CDC 2023
Safe reinforcement learning in uncertain contexts
Dominik Baumann, Thomas B. Schön
2024
IEEE Transactions on Robotics
PACSBO: Probably approximately correct safe Bayesian optimization
Abdullah Tokmak, Thomas B. Schön, Dominik Baumann
2024
LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES
An ergodicity perspective on reinforcement learning
Dominik Baumann
2023
On the trade-off between event-based and periodic state estimation under bandwidth constraints
Dominik Baumann, Thomas B. Schön
2023
Proceedings of the IFAC World Congress
Reply to “The Limitations of Growth-Optimal Approaches to Decision Making Under Uncertainty”
Oliver Hulme, Arne Vanhoyweghen, Colm Connaughton, Ole Peters, Simon Steinkamp, Alexander Adamou, Dominik Baumann, Vincent Ginis, Bert Verbruggen, James Price, Benjamin Skjold
2023
Econ Journal Watch
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
2023
Proceedings of the Learning for Dynamics and Control Conference
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
2023
Artificial Intelligence
Identifying Causal Structure in Dynamical Systems
Dominik Baumann, Friedrich Solowjow, Karl H. Johansson, Sebastian Trimpe
2022
Transactions on Machine Learning Research
Towards remote fault detection by analyzing communication priorities
Alexander Gräfe, Dominik Baumann, Sebastian Trimpe
2022
IEEE Conference on Decision and Control