Publications

You can also find my articles on my Google Scholar profile.

Journals

• D. Baumann and T. B. Schön, “Safe reinforcement learning in uncertain contexts,” IEEE Transactions on Robotics, 2024, arXiv.
• B. Sukhija, M. Turchetta, D. Lindner, A. Krause, S. Trimpe, and D. Baumann, “GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems,” Artificial Intelligence, 2023, arXiv.
• D. Baumann, F. Solowjow, K. H. Johansson, and S. Trimpe, “Identifying causal structure in dynamical systems,” Transactions on Machine Learning Research, 2022, arXiv.
• F. Mager, D. Baumann, C. Herrmann, S. Trimpe, and M. Zimmerling, “Scaling beyond bandwidth limitations: Wireless control with stability guarantees under overload,” ACM Transactions on Cyber-Physical Systems, 2022, arXiv.
• D. Baumann, F. Mager, U. Wetzker, L. Thiele, M. Zimmerling, and S. Trimpe, “Wireless control for smart manufacturing: Recent approaches and open challenges,” Proceedings of the IEEE, 2021, arXiv.
• N. Funk, D. Baumann, V. Berenz, and S. Trimpe, “Learning event-triggered control from data through joint optimization,” IFAC Journal of Systems and Control, 2021, arXiv.
• A. Marco, D. Baumann, M. Khadiv, P. Hennig, L. Righetti, and S. Trimpe, “Robot learning with crash constraints,” IEEE Robotics and Automation Letters, 2021, arXiv.
• D. Baumann, F. Mager, M. Zimmerling, and S. Trimpe, “Control-guided communication: Efficient resource arbitration and allocation in multi-hop wireless control systems,” IEEE Control Systems Letters, 2020, arXiv.
• D. Baumann, F. Mager, R. Jacob, L. Thiele, M. Zimmerling, and S. Trimpe, “Fast feedback control over multi-hop wireless networks with mode changes and stability guarantees,” ACM Transactions on Cyber-Physical Systems, 2019, arXiv.
• S. Trimpe and D. Baumann, “Resource-aware IoT control: Saving communication through predictive triggering,” IEEE Internet of Things Journal, 2019, arXiv.
• A. Ascoli, D. Baumann, R. Tetzlaff, L. O. Chua, and M. Hild, “Memristor-enhanced humanoid robot control system–Part I: Theory behind the novel memcomputing paradigm,” International Journal of Circuit Theory and Applications, 2018.
• D. Baumann, A. Ascoli, R. Tetzlaff, L. O. Chua, and M. Hild, “Memristor-enhanced humanoid robot control system–Part II: Circuit theoretic model and performance analysis,” International Journal of Circuit Theory and Applications, 2018.

Conferences

• A. Tokmak, T. B. Schön, and D. Baumann, “PACSBO: Probably approximately correct safe Bayesian optimization,” Symposium on Systems Theory in Data and Optimization, Stuttgart, Germany, 2024, arXiv.
• D. Baumann, K. Kowalczyk, K. Tiels, and P. Wachel, “A computationally lightweight safe learning algorithm,” IEEE Conference on Decision and Control, Singapore, Singapore, 2023, arXiv.
• D. Baumann and T. B. Schön, “On the trade-off between event-based and periodic state estimation under bandwidth constraints,” IFAC World Congress, Yokohama, Japan, 2023, arXiv.
• L. Kesper, S. Trimpe, and D. Baumann, “Toward multi-agent reinforcement learning for distributed event-triggered control,” Learning for Dynamics and Control Conference, Philadelphia, PA, USA, 2023, arXiv.
• A. Gräfe, D. Baumann, and S. Trimpe, “Towards remote fault detection by analyzing communication priorities,” IEEE Conference on Decision and Control, Cancun, Mexico, 2022, arXiv.
• D. Baumann, A. Marco, M. Turchetta, and S. Trimpe, “GoSafe: Globally optimal safe robot learning,” IEEE International Conference on Robotics and Automation, Xi’an, China, 2021, arXiv.
• J. M. Mastrangelo, D. Baumann, and S. Trimpe, “Predictive triggering for distributed control of resource constrained multi-agent systems,” IFAC Workshop on Distributed Estimation and Control in Networked Systems, Chicago, IL, USA, 2019, arXiv.
• D. Baumann, F. Solowjow, K. H. Johansson, and S. Trimpe, “Event-triggered pulse control with model learning (if necessary),” American Control Conference, Philadelphia, PA, USA, 2019, arXiv.
• F. Mager, D. Baumann, R. Jacob, L. Thiele, S. Trimpe, and M. Zimmerling, “Feedback control goes wireless: Guaranteed stability over low-power multi-hop networks,” ACM/IEEE International Conference on Cyber-Physical Systems, (Best Paper Award), Montréal, Canada, 2019, arXiv.
• D. Baumann, J.-J. Zhu, G. Martius, and S. Trimpe, “Deep reinforcement learning for event-triggered control,” IEEE Conference on Decision and Control, Miami, FL, USA, 2018, arXiv.
• F. Solowjow, D. Baumann, J. Garcke, and S. Trimpe, “Event-triggered learning for resource-efficient networked control,” American Control Conference, Milwaukee, WI, USA, 2018, arXiv.
• D. Baumann, F. Mager, H. Singh, M. Zimmerling, and S. Trimpe, “Evaluating low-power wireless cyber-physical systems,” IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems, Porto, Portugal, 2018, arXiv.

Reports

• D. Baumann, “An ergodicity perspective on reinforcement learning,” Ergodicity Economics Blog, 2023.
• O. Hulme, A. Vanhoyweghen, C. Connaughton, O. Peters, S. Steinkamp, A. Adamou, D. Baumann, V. Ginis, B. Verbruggen, J. Price, and B. Skjold, “Reply to ‘The limitations of growth-optimal approaches to decision making under uncertainty,’” Econ Journal Watch, 2023, PDF.
• S. Weichwald, S. W. Mogensen, T. E. Lee, D. Baumann, O. Kroemer, I. Guyon, S. Trimpe, J. Peters, and N. Pfister, “Learning by doing: Controlling a dynamical system using causality, control, and reinforcement learning,” NeurIPS Competition and Demonstration Track, 2021, arXiv.
• P. M. Addo, D. Baumann, J. McMurren, S. G. Verhulst, A. Young, and A. J. Zahuranec, “Emerging uses of technology for development: A new intelligence paradigm,” Policy Paper, Agence Française de Développement, 2020, SRRN.

Theses

• D. Baumann, “Learning and control strategies for cyber-physcial systems: From wireless control over deep reinforcement learning to causal identification,” Ph.D. Thesis, KTH Stockholm, Sweden, 2020, DiVA.
• D. Baumann, “Fast and resource-efficient control of wireless cyber-physical systems,” Licentiate Thesis, KTH Stockholm, Sweden, 2019, DiVA.
• D. Baumann, “Numerical study and analysis of a novel cognitive sensorimotor loop based on circuit elements with memory,” Diploma Thesis, TU Dresden, Germany, 2016.