Publications
DEPARTMENTS
Emperical Interference
Haptic Intelligence
Modern Magnetic Systems
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
Autonomous Vision
Autonomous Learning
Bioinspired Autonomous Miniature Robots
Dynamic Locomotion
Embodied Vision
Human Aspects of Machine Learning
Intelligent Control Systems
Learning and Dynamical Systems
Locomotion in Biorobotic and Somatic Systems
Micro, Nano, and Molecular Systems
Movement Generation and Control
Neural Capture and Synthesis
Physics for Inference and Optimization
Organizational Leadership and Diversity
Probabilistic Learning Group
Topics
Robot Learning
Conference Paper
2022
Autonomous Learning
Robotics
AI
Career
Award
Learning and Dynamical Systems
Conference Paper
Distributed Event-Based Learning via ADMM
Er, D., Trimpe, S., Muehlebach, M.
In International Conference on Machine Learning, 2025, Submitted (Submitted)
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Learning and Dynamical Systems
Conference Paper
Adversarial Training for Defense Against Label Poisoning Attacks
Bal, M. I., Cevher, V., Muehlebach, M.
In International Conference on Learning Representations, 2025, Accepted (Accepted)
BibTeX
Learning and Dynamical Systems
Conference Paper
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Kladny, K., Schölkopf, B., Muehlebach, M.
In International Conference On Learning Representations, International Conference on Learning Representations, 2025, Accepted (Accepted)
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BibTeX
Learning and Dynamical Systems
Conference Paper
Online learning under adversarial nonlinear constraints
Kolev, P., Martius, G., Muehlebach, M.
In Advances in Neural Information Processing Systems 36, Advances in Neural Information Processing Systems, 2024 (Published)
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BibTeX
Embodied Vision
Learning and Dynamical Systems
Empirical Inference
Conference Paper
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Achterhold, J., Tobuschat, P., Ma, H., Büchler, D., Muehlebach, M., Stueckler, J.
In Conference on Learning for Dynamics and Control, 211:878-890, Proceedings of Machine Learning Research, (Editors: Nikolai Matni, Manfred Morari and George J. Pappa), PMLR, June 2023 (Published)
preprint
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BibTeX
Learning and Dynamical Systems
Conference Paper
A Dynamical Systems Perspective on Discrete Optimization
Tong, G., Muehlebach, M.
In Conference on Learning for Dynamics and Control, 211:1373-1386, PMLR, 2023 (Published)
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BibTeX
Autonomous Motion
Intelligent Control Systems
Learning and Dynamical Systems
Conference Paper
LMI-Based Synthesis for Distributed Event-Based State Estimation
Muehlebach, M., Trimpe, S.
In Proceedings of the American Control Conference, July 2015 (Published)
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DOI
BibTeX
Autonomous Motion
Intelligent Control Systems
Learning and Dynamical Systems
Conference Paper
Guaranteed H2 Performance in Distributed Event-Based State Estimation
Muehlebach, M., Trimpe, S.
In Proceeding of the First International Conference on Event-based Control, Communication, and Signal Processing, June 2015 (Published)
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DOI
BibTeX