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Emperical Interference

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Modern Magnetic Systems

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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

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Robot Learning

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Empirical Inference Learning and Dynamical Systems Conference Paper Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Kladny, K., Schölkopf, B., Muehlebach, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025 (Published) arXiv URL BibTeX
Learning and Dynamical Systems Conference Paper Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy Fischer, P., Willms, H., Muehlebach, M., Thorwarth, D., Schneider, M., Baumgartner, C. Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 , 696-706, Springer, Cham, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), October 2024 (Published) DOI URL BibTeX
Empirical Inference Learning and Dynamical Systems Robotics Conference Paper Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Guist, S., Schneider, J., Ma, H., Chen, L., Berenz, V., Martus, J., Ott, H., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, D. Proceedings of Robotics: Science and Systems, July 2024 (Published) arXiv Project Page DOI URL BibTeX
Learning and Dynamical Systems Conference Paper Conformal Performance Range Prediction for Segmentation Output Quality Control Wundram, A., Fischer, P., Muehlebach, M., Koch, L., Baumgartner, C. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 (Published) BibTeX
Empirical Inference Learning and Dynamical Systems IT Services Robotics Conference Paper A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions Guist, S., Schneider, J., Ma, H., Berenz, V., Martus, J., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, B. RoboLetics: Workshop on Robot Learning in Athletics @CoRL 2023, November 2023 (Published) URL BibTeX
Learning and Dynamical Systems Empirical Inference Conference Paper Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators Kladny, K., von Kügelgen, J., Schölkopf, B., Muehlebach, M. Conference on Uncertainty in Artificial Intelligence, 216:1087-1097, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (Published) URL BibTeX
Learning and Dynamical Systems Conference Paper Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification Muehlebach, M. IFAC World Congress, 2023 (Published) URL BibTeX
Learning and Dynamical Systems Conference Paper Data-Efficient Online Learning of Ball Placement in Robot Table Tennis Tobuschat, P., Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. EEE/RSJ International Conference on Intelligent Robots and Systems, 2023 (Published) URL BibTeX
Learning and Dynamical Systems Conference Paper Orthogonal Directions Constrained Gradient Method: from Non-Linear Equality Constraints to Stiefel Manifold Schechtman, S., Tiapkin, D., Muehlebach, M., Moulines, E. Conference on Learning Theory, 2023 (Published) URL BibTeX
Empirical Inference Learning and Dynamical Systems Conference Paper Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization Das, A., Schölkopf, B., Muehlebach, M. Advances in Neural Information Processing Systems 35, 6749-6762, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), 36th Conference on Neural Information Processing Systems (NeurIPS 2022) , December 2022 (Published) arXiv URL BibTeX
Empirical Inference Learning and Dynamical Systems Conference Paper A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. Proceedings of Robotics: Science and Systems XVIII (R:SS 2022), 18, (Editors: Kris Hauser, Dylan Shell, and Shoudong Huang), Robotics: Science and Systems XVIII, June 2022 (Published) PDF DOI URL BibTeX
Learning and Dynamical Systems Conference Paper First-order Constrained Optimization: Non-smooth Dynamical System Viewpoint Schechtman, S., Tiapkin, D., Moulines, E., Muehlebach, M. IFAC Workshop on Control Applications of Optimization, 2022 (Published) URL BibTeX
Learning and Dynamical Systems Conference Paper Optimization with Adaptive Step Size Selection from a Dynamical Systems Perspective Wadia, N. S., Jordan, M. I., Muehlebach, M. OPT2021 Workshop, Conference on Neural Information Processing Systems, Thirty-fifth Conference on Neural Information Processing Systems, 2021 (Published) URL BibTeX