Dominik Baumann

Orcid: 0000-0001-7340-2180

According to our database¹, Dominik Baumann authored at least 34 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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Bibliography

2024

Safe Reinforcement Learning in Uncertain Contexts.

[BibT_eX]

[DOI]

Dominik Baumann

Thomas B. Schön

IEEE Trans. Robotics, 2024

2023

GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems.

[BibT_eX]

[DOI]

Artif. Intell., July, 2023

Non-ergodicity in reinforcement learning: robustness via ergodicity transformations.

[BibT_eX]

[DOI]

CoRR, 2023

On the trade-off between event-based and periodic state estimation under bandwidth constraints.

[BibT_eX]

[DOI]

Dominik Baumann

Thomas B. Schön

CoRR, 2023

Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control.

[BibT_eX]

[DOI]

Lukas Kesper

Sebastian Trimpe

Dominik Baumann

Proceedings of the Learning for Dynamics and Control Conference, 2023

A Computationally Lightweight Safe Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Identifying Causal Structure in Dynamical Systems.

[BibT_eX]

[DOI]

Dominik Baumann

Friedrich Solowjow

Karl Henrik Johansson

Sebastian Trimpe

Trans. Mach. Learn. Res., 2022

Scaling beyond Bandwidth Limitations: Wireless Control with Stability Guarantees under Overload.

[BibT_eX]

[DOI]

ACM Trans. Cyber Phys. Syst., 2022

Scalable Safe Exploration for Global Optimization of Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Towards remote fault detection by analyzing communication priorities.

[BibT_eX]

[DOI]

Alexander Gräfe

Dominik Baumann

Sebastian Trimpe

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Robot Learning With Crash Constraints.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Learning event-triggered control from data through joint optimization.

[BibT_eX]

[DOI]

IFAC J. Syst. Control., 2021

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning.

[BibT_eX]

[DOI]

Sebastian Weichwald

Søren Wengel Mogensen

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

GoSafe: Globally Optimal Safe Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees.

[BibT_eX]

[DOI]

ACM Trans. Cyber Phys. Syst., 2020

Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures.

[BibT_eX]

[DOI]

Alonso Marco

Alexander von Rohr

Dominik Baumann

José Miguel Hernández-Lobato

Sebastian Trimpe

CoRR, 2020

A Kernel Two-sample Test for Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Resource-Aware IoT Control: Saving Communication Through Predictive Triggering.

[BibT_eX]

[DOI]

Sebastian Trimpe

Dominik Baumann

IEEE Internet Things J., 2019

Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems.

[BibT_eX]

[DOI]

José Mario Mastrangelo

Dominik Baumann

Sebastian Trimpe

CoRR, 2019

Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties.

[BibT_eX]

[DOI]

CoRR, 2019

Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Fast feedback control and coordination with mode changes for wireless cyber-physical systems: demo abstract.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

Feedback control goes wireless: guaranteed stability over low-power multi-hop networks.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Event-triggered Pulse Control with Model Learning (if Necessary).

[BibT_eX]

[DOI]

Dominik Baumann

Friedrich Solowjow

Karl Henrik Johansson

Sebastian Trimpe

Proceedings of the 2019 American Control Conference, 2019

2018

Memristor-enhanced humanoid robot control system - Part II: Circuit theoretic model and performance analysis.

[BibT_eX]

[DOI]

Int. J. Circuit Theory Appl., 2018

Memristor-enhanced humanoid robot control system - Part I: Theory behind the novel memcomputing paradigm.

[BibT_eX]

[DOI]

Int. J. Circuit Theory Appl., 2018

Mem-adaptive computing - Part II: Circuit design.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Mem-adaptive computing - Part I: Theory.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Toward fast closed-loop control over multi-hop low-power wireless networks: poster abstract.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Evaluating Low-Power Wireless Cyber-Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Benchmarking Cyber-Physical Networks and Systems, 2018

Deep Reinforcement Learning for Event-Triggered Control.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Event-Triggered Learning for Resource-Efficient Networked Control.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Dominik Baumann

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