Event-Triggered Learning for Resource-Efficient Networked Control. - Friedrich Solowjow; Dominik Baumann; Jochen Garcke; Sebastian Trimpe (ACC, 2018)

Deep Reinforcement Learning for Event-Triggered Control. - Dominik Baumann; Sebastian Trimpe; Jia-Jie Zhu; Georg Martius (CDC, 2018)

Evaluating Low-Power Wireless Cyber-Physical Systems. - Dominik Baumann; Fabian Mager; Harsoveet Singh; Marco Zimmerling; Sebastian Trimpe (Bench@CPSWeek, 2018)

Toward fast closed-loop control over multi-hop low-power wireless networks: poster abstract. - Fabian Mager; Dominik Baumann; Sebastian Trimpe; Marco Zimmerling (IPSN, 2018)

Mem-adaptive computing - Part I: Theory. - Alon Ascoli; Dominik Baumann; Ronald Tetzlaff; Leon O. Chua; Manfred Hild (ISCAS, 2018)

Mem-adaptive computing - Part II: Circuit design. - Alon Ascoli; Dominik Baumann; Ronald Tetzlaff; Leon O. Chua; Manfred Hild (ISCAS, 2018)

Memristor-enhanced humanoid robot control system - Part I: Theory behind the novel memcomputing paradigm. - Alon Ascoli; Dominik Baumann; Ronald Tetzlaff; Leon O. Chua; Manfred Hild (Int. J. Circuit Theory Appl., 2018)

Memristor-enhanced humanoid robot control system - Part II: Circuit theoretic model and performance analysis. - Dominik Baumann; Alon Ascoli; Ronald Tetzlaff; Leon O. Chua; Manfred Hild (Int. J. Circuit Theory Appl., 2018)

Event-triggered Pulse Control with Model Learning (if Necessary). - Dominik Baumann; Friedrich Solowjow; Karl Henrik Johansson; Sebastian Trimpe (ACC, 2019)

Feedback control goes wireless: guaranteed stability over low-power multi-hop networks. - Fabian Mager; Dominik Baumann; Romain Jacob; Lothar Thiele; Sebastian Trimpe; Marco Zimmerling (ICCPS, 2019)

Fast feedback control and coordination with mode changes for wireless cyber-physical systems: demo abstract. - Fabian Mager; Dominik Baumann; Romain Jacob; Lothar Thiele; Sebastian Trimpe; Marco Zimmerling (IPSN, 2019)

Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems. - Fabian Mager; Dominik Baumann; Romain Jacob; Lothar Thiele; Sebastian Trimpe; Marco Zimmerling (CoRR, 2019)

Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties. - Alonso Marco; Dominik Baumann; Philipp Hennig; Sebastian Trimpe (CoRR, 2019)

Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems. - José Mario Mastrangelo; Dominik Baumann; Sebastian Trimpe (CoRR, 2019)

Resource-Aware IoT Control: Saving Communication Through Predictive Triggering. - Sebastian Trimpe; Dominik Baumann (IEEE Internet Things J., 2019)

A Kernel Two-sample Test for Dynamical Systems. - Friedrich Solowjow; Dominik Baumann; Christian Fiedler; Andreas Jocham; Thomas Seel; Sebastian Trimpe (CoRR, 2020)

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures. - Alonso Marco; Alexander von Rohr; Dominik Baumann; José Miguel Hernández-Lobato; Sebastian Trimpe (CoRR, 2020)

Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems. - Dominik Baumann; Fabian Mager; Marco Zimmerling; Sebastian Trimpe (IEEE Control. Syst. Lett., 2020)

Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees. - Dominik Baumann; Fabian Mager; Romain Jacob; Lothar Thiele; Marco Zimmerling; Sebastian Trimpe (ACM Trans. Cyber Phys. Syst., 2020)

Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification. - Dominik Baumann (2020)

GoSafe: Globally Optimal Safe Robot Learning. - Dominik Baumann; Alonso Marco; Matteo Turchetta; Sebastian Trimpe (ICRA, 2021)

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. - Sebastian Weichwald; Søren Wengel Mogensen; Tabitha Edith Lee; Dominik Baumann; Oliver Kroemer; Isabelle Guyon; Sebastian Trimpe; Jonas Peters; Niklas Pfister (NeurIPS (Competition and Demos), 2021)

Learning event-triggered control from data through joint optimization. - Niklas Funk; Dominik Baumann; Vincent Berenz; Sebastian Trimpe (IFAC J. Syst. Control., 2021)

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges. - Dominik Baumann; Fabian Mager; Ulf Wetzker; Lothar Thiele; Marco Zimmerling; Sebastian Trimpe (Proc. IEEE, 2021)

Robot Learning With Crash Constraints. - Alonso Marco; Dominik Baumann; Majid Khadiv; Philipp Hennig; Ludovic Righetti; Sebastian Trimpe (IEEE Robotics Autom. Lett., 2021)

Towards remote fault detection by analyzing communication priorities. - Alexander Gräfe; Dominik Baumann; Sebastian Trimpe (CDC, 2022)

Scalable Safe Exploration for Global Optimization of Dynamical Systems. - Bhavya Sukhija; Matteo Turchetta; David Lindner; Andreas Krause 001; Sebastian Trimpe; Dominik Baumann (CoRR, 2022)

Scaling beyond Bandwidth Limitations: Wireless Control with Stability Guarantees under Overload. - Fabian Mager; Dominik Baumann; Carsten Herrmann; Sebastian Trimpe; Marco Zimmerling (ACM Trans. Cyber Phys. Syst., 2022)

Identifying Causal Structure in Dynamical Systems. - Dominik Baumann; Friedrich Solowjow; Karl Henrik Johansson; Sebastian Trimpe (Trans. Mach. Learn. Res., 2022)

A Computationally Lightweight Safe Learning Algorithm. - Dominik Baumann; Krzysztof Kowalczyk; Koen Tiels; Pawel Wachel (CDC, 2023)

Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. - Lukas Kesper; Sebastian Trimpe; Dominik Baumann (L4DC, 2023)

On the trade-off between event-based and periodic state estimation under bandwidth constraints. - Dominik Baumann; Thomas B. Schön (CoRR, 2023)

Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. - Dominik Baumann; Erfaun Noorani; James Price; Ole Peters; Colm Connaughton; Thomas B. Schön (CoRR, 2023)

GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. - Bhavya Sukhija; Matteo Turchetta; David Lindner; Andreas Krause 001; Sebastian Trimpe; Dominik Baumann (Artif. Intell., 2023)

PACSBO: Probably approximately correct safe Bayesian optimization. - Abdullah Tokmak; Thomas B. Schön; Dominik Baumann (CoRR, 2024)

Safe Reinforcement Learning in Uncertain Contexts. - Dominik Baumann; Thomas B. Schön (IEEE Trans. Robotics, 2024)

Safe exploration in reproducing kernel Hilbert spaces. - Abdullah Tokmak; Kiran G. Krishnan; Thomas B. Schön; Dominik Baumann (AISTATS, 2025)

Transfer learning in latent contextual bandits with covariate shift through causal transportability. - Mingwei Deng; Ville Kyrki; Dominik Baumann (CLeaR, 2025)

Compensating Latent Nonlinear Dynamics for Practical Consensus Control. - Krzysztof Kowalczyk; Dominik Baumann; Cristian R. Rojas; Pawel Wachel (AAMAS, 2025)

Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations. - Dominik Baumann; Erfaun Noorani; James Price; Ole Peters; Colm Connaughton; Thomas B. Schön (Trans. Mach. Learn. Res., 2025)

Simulation-Aided Policy Tuning for Black-Box Robot Learning. - Shiming He; Alexander von Rohr; Dominik Baumann; Ji Xiang; Sebastian Trimpe (IEEE Trans. Robotics, 2025)

Safety and optimality in learning-based control at low computational cost. - Dominik Baumann; Krzysztof Kowalczyk; Cristian R. Rojas; Koen Tiels; Pawel Wachel (CoRR, 2025)