Michael Muehlebach

94 papers A* 11A 2C 2Misc 1Journal 64Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated first-order optimization under nonlinear constraints. Math. Program. Michael Muehlebach, Michael I. Jordan
2026	J	`jnl`	SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference. CoRR Hao Ma, Melis Ilayda Bal, Liang Zhang, Bingcong Li, Niao He, Melanie Nicole Zeilinger, Michael Muehlebach
2026	J	`jnl`	Stochastic Online Optimization for Cyber-Physical and Robotic Systems. Mach. Learn. Hao Ma, Melanie Nicole Zeilinger, Michael Muehlebach
2026	J	`jnl`	Structured Learning for Electromagnetic Field Modeling and Real-Time Inversion. CoRR Antonio Bernardes, Jasan Zughaibi, Michael Muehlebach, Bradley J. Nelson
2026	J	`jnl`	Teaching Machine Learning Fundamentals with LEGO Robotics. CoRR Viacheslav Sydora, Güner Dilsad Er, Michael Muehlebach
2025	J	`jnl`	A Critical Perspective on Finite Sample Conformal Prediction Theory in Medical Applications. CoRR Klaus-Rudolf Kladny, Bernhard Schölkopf, Lisa M. Koch, Christian F. Baumgartner, Michael Muehlebach
2025	—	`conf`	A Pontryagin Perspective on Reinforcement Learning. L4DC Onno Eberhard, Claire Vernade, Michael Muehlebach
2025	J	`jnl`	A Systems-Theoretic View on the Convergence of Algorithms under Disturbances. CoRR Güner Dilsad Er, Sebastian Trimpe, Michael Muehlebach
2025	A*	`conf`	Adversarial Training for Defense Against Label Poisoning Attacks. ICLR Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
2025	J	`jnl`	Adversarial Training for Defense Against Label Poisoning Attacks. CoRR Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
2025	A*	`conf`	Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering. ICLR Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
2025	J	`jnl`	Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing. CoRR Hao Ma, Sabrina Bodmer, Andrea Carron, Melanie Nicole Zeilinger, Michael Muehlebach
2025	—	`conf`	Controlling Participation in Federated Learning with Feedback. L4DC Michael Cummins, Güner Dilsad Er, Michael Muehlebach
2025	J	`jnl`	Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics. CoRR Zhiyu He, Saverio Bolognani, Florian Dörfler, Michael Muehlebach
2025	A*	`conf`	Distributed Event-Based Learning via ADMM. ICML Güner Dilsad Er, Sebastian Trimpe, Michael Muehlebach
2025	J	`jnl`	Dynamic Electromagnetic Navigation. IEEE Robotics Autom. Lett. Jasan Zughaibi, Bradley J. Nelson, Michael Muehlebach
2025	J	`jnl`	ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining. CoRR Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
2025	J	`jnl`	Efficient Model-Based Reinforcement Learning for Robot Control via Online Learning. CoRR Fang Nan, Hao Ma, Qinghua Guan, Josie Hughes, Michael Muehlebach, Marco Hutter
2025	J	`jnl`	Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control. CoRR Ghadeer Elmkaiel, Syn Schmitt, Michael Muehlebach
2025	J	`jnl`	Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control. CoRR Jasan Zughaibi, Denis von Arx, Maurus Derungs, Florian Heemeyer, Luca A. Antonelli, Quentin Boehler, Michael Muehlebach, Bradley J. Nelson
2025	J	`jnl`	Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing. CoRR Kijung Jeon, Michael Muehlebach, Molei Tao
2025	J	`jnl`	PENEX: AdaBoost-Inspired Neural Network Regularization. CoRR Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
2025	A*	`conf`	Partially Observable Reinforcement Learning with Memory Traces. ICML Onno Eberhard, Michael Muehlebach, Claire Vernade
2025	J	`jnl`	Partially Observable Reinforcement Learning with Memory Traces. CoRR Onno Eberhard, Michael Muehlebach, Claire Vernade
2025	J	`jnl`	Quantization-Free Autoregressive Action Transformer. CoRR Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach, Claire Vernade
2025	J	`jnl`	Remote Magnetic Levitation Using Reduced Attitude Control and Parametric Field Models. CoRR Neelaksh Singh, Jasan Zughaibi, Denis von Arx, Bradley J. Nelson, Michael Muehlebach
2025	—	`conf`	Robust Feedback Optimization with Model Uncertainty: A Regularization Approach. CDC Winnie Chan, Zhiyu He, Keith Moffat, Saverio Bolognani, Michael Muehlebach, Florian Dörfler
2025	J	`jnl`	Robust Feedback Optimization with Model Uncertainty: A Regularization Approach. CoRR Winnie Chan, Zhiyu He, Keith Moffat, Saverio Bolognani, Michael Muehlebach, Florian Dörfler
2025	J	`jnl`	The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective. CoRR Michael Muehlebach, Zhiyu He, Michael I. Jordan
2025	J	`jnl`	Zeroth-Order Optimization Finds Flat Minima. CoRR Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
2024	J	`jnl`	A Pontryagin Perspective on Reinforcement Learning. CoRR Onno Eberhard, Claire Vernade, Michael Muehlebach
2024	J	`jnl`	Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation. CoRR Jasan Zughaibi, Bradley J. Nelson, Michael Muehlebach
2024	Misc	`conf`	Bi-Level Motion Imitation for Humanoid Robots. CoRL Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach
2024	J	`jnl`	Bi-Level Motion Imitation for Humanoid Robots. CoRR Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach
2024	J	`jnl`	Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering. CoRR Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
2024	J	`jnl`	Conformal Performance Range Prediction for Segmentation Output Quality Control. CoRR Anna M. Wundram, Paul Fischer, Michael Muehlebach, Lisa M. Koch, Christian F. Baumgartner
2024	J	`jnl`	Controlling Participation in Federated Learning with Feedback. CoRR Michael Cummins, Güner Dilsad Er, Michael Muehlebach
2024	J	`jnl`	Deep Backtracking Counterfactuals for Causally Compliant Explanations. Trans. Mach. Learn. Res. Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
2024	J	`jnl`	Distributed Event-Based Learning via ADMM. CoRR Güner Dilsad Er, Sebastian Trimpe, Michael Muehlebach
2024	J	`jnl`	Gray-Box Nonlinear Feedback Optimization. CoRR Zhiyu He, Saverio Bolognani, Michael Muehlebach, Florian Dörfler
2024	J	`jnl`	Primal Methods for Variational Inequality Problems with Functional Constraints. CoRR Liang Zhang, Niao He, Michael Muehlebach
2024	—	`conf`	Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion. Robotics: Science and Systems Simon Guist, Jan Schneider, Hao Ma, Le Chen, Vincent Berenz, Julian Martus, Heiko Ott, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler
2024	J	`jnl`	Stochastic Online Optimization for Cyber-Physical and Robotic Systems. CoRR Hao Ma, Melanie N. Zeilinger, Michael Muehlebach
2024	—	`conf`	Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy. MICCAI (10) Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
2024	J	`jnl`	Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy. CoRR Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
2024	J	`jnl`	Toward a Systems Theory of Algorithms. IEEE Control. Syst. Lett. Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach
2024	J	`jnl`	Towards a Systems Theory of Algorithms. CoRR Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach
2023	—	`conf`	A Dynamical Systems Perspective on Discrete Optimization. L4DC Tong Guanchun, Michael Muehlebach
2023	J	`jnl`	Accelerated First-Order Optimization under Nonlinear Constraints. CoRR Michael Muehlebach, Michael I. Jordan
2023	J	`jnl`	Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification. CoRR Michael Muehlebach
2023	—	`conf`	Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. L4DC Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
2023	J	`jnl`	Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. CoRR Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
2023	J	`jnl`	Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators. CoRR Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
2023	A	`conf`	Causal effect estimation from observational and interventional data through matrix weighted linear estimators. UAI Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
2023	A	`conf`	Data-Efficient Online Learning of Ball Placement in Robot Table Tennis. IROS Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
2023	J	`jnl`	Data-Efficient Online Learning of Ball Placement in Robot Table Tennis. CoRR Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
2023	J	`jnl`	Deep Backtracking Counterfactuals for Causally Compliant Explanations. CoRR Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
2023	A*	`conf`	Online Learning under Adversarial Nonlinear Constraints. NeurIPS Pavel Kolev, Georg Martius, Michael Muehlebach
2023	J	`jnl`	Online Learning under Adversarial Nonlinear Constraints. CoRR Pavel Kolev, Georg Martius, Michael Muehlebach
2023	A*	`conf`	Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold. COLT Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines
2023	J	`jnl`	Reinforcement learning with model-based feedforward inputs for robotic table tennis. Auton. Robots Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
2022	—	`conf`	A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles. Robotics: Science and Systems Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
2022	J	`jnl`	On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. J. Mach. Learn. Res. Michael Muehlebach, Michael I. Jordan
2022	J	`jnl`	Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report. CoRR Daniel Frank, Decky Aspandi-Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab
2022	A*	`conf`	Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. NeurIPS Aniket Das, Bernhard Schölkopf, Michael Muehlebach
2022	J	`jnl`	Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. CoRR Aniket Das, Bernhard Schölkopf, Michael Muehlebach
2021	J	`jnl`	On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. CoRR Michael Muehlebach, Michael I. Jordan
2021	J	`jnl`	Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives. J. Mach. Learn. Res. Michael Muehlebach, Michael I. Jordan
2020	A*	`conf`	Continuous-time Lower Bounds for Gradient-based Algorithms. ICML Michael Muehlebach, Michael I. Jordan
2020	J	`jnl`	Continuous-time Lower Bounds for Gradient-based Algorithms. CoRR Michael Muehlebach, Michael I. Jordan
2020	J	`jnl`	Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives. CoRR Michael Muehlebach, Michael I. Jordan
2019	A*	`conf`	A Dynamical Systems Perspective on Nesterov Acceleration. ICML Michael Muehlebach, Michael I. Jordan
2019	J	`jnl`	A Dynamical Systems Perspective on Nesterov Acceleration. CoRR Michael Muehlebach, Michael I. Jordan
2019	J	`jnl`	A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications. CoRR Michael Muehlebach, Raffaello D'Andrea
2019	J	`jnl`	A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications. IEEE Robotics Autom. Lett. Michael Muehlebach, Raffaello D'Andrea
2019	J	`jnl`	Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction. CoRR N. Benjamin Erichson, Michael Muehlebach, Michael W. Mahoney
2019	J	`jnl`	The Silver Ratio and its Relation to Controllability. CoRR Michael Muehlebach
2018	J	`jnl`	Accelerometer-Based Tilt Determination for Rigid Bodies With a Nonaccelerated Pivot Point. IEEE Trans. Control. Syst. Technol. Michael Muehlebach, Raffaello D'Andrea
2018	J	`jnl`	Distributed Event-Based State Estimation for Networked Systems: An LMI Approach. IEEE Trans. Autom. Control. Michael Muehlebach, Sebastian Trimpe
2018	J	`jnl`	On the Approximation of Constrained Linear Quadratic Regulator Problems and their Application to Model Predictive Control - Supplementary Notes. CoRR Michael Muehlebach, Raffaello D'Andrea
2017	—	`conf`	Basis functions design for the approximation of constrained linear quadratic regulator problems encountered in model predictive control. CDC Michael Muehlebach, Raffaello D'Andrea
2017	J	`jnl`	Distributed Event-Based State Estimation for Networked Systems: An LMI-Approach. CoRR Michael Muehlebach, Sebastian Trimpe
2017	A*	`conf`	Implementation of a parametrized infinite-horizon model predictive control scheme with stability guarantees. ICRA Michael Muehlebach, Carmelo Sferrazza, Raffaello D'Andrea
2017	J	`jnl`	Nonlinear Analysis and Control of a Reaction-Wheel-Based 3-D Inverted Pendulum. IEEE Trans. Control. Syst. Technol. Michael Muehlebach, Raffaello D'Andrea
2017	—	`conf`	Trajectory tracking and iterative learning on an unmanned aerial vehicle using parametrized model predictive control. CDC Carmelo Sferrazza, Michael Muehlebach, Raffaello D'Andrea
2016	A*	`conf`	Application of an approximate model predictive control scheme on an unmanned aerial vehicle. ICRA Matthias Hofer, Michael Muehlebach, Raffaello D'Andrea
2016	J	`jnl`	Approximation of Continuous-Time Infinite-Horizon Optimal Control Problems Arising in Model Predictive Control - Supplementary Notes. CoRR Michael Muehlebach, Raffaello D'Andrea
2016	—	`conf`	Approximation of continuous-time infinite-horizon optimal control problems arising in model predictive control. CDC Michael Muehlebach, Raffaello D'Andrea
2016	C	`conf`	Parametrized infinite-horizon model predictive control for linear time-invariant systems with input and state constraints. ACC Michael Muehlebach, Raffaello D'Andrea
2015	—	`conf`	Guaranteed ℋ2 performance in distributed event-based state estimation. EBCCSP Michael Muehlebach, Sebastian Trimpe
2015	C	`conf`	LMI-based synthesis for distributed event-based state estimation. ACC Michael Muehlebach, Sebastian Trimpe
2014	J	`jnl`	A Fan-Based, Low-Frequent, Forced Oscillation Technique Apparatus. IEEE Trans. Instrum. Meas. Hannes Maes, Gerd Vandersteen, Michael Muehlebach, Clara M. Ionescu
2013	—	`conf`	Nonlinear analysis and control of a reaction wheel-based 3D inverted pendulum. CDC Michael Muehlebach, Gajamohan Mohanarajah, Raffaello D'Andrea
2013	—	`conf`	The Cubli: A reaction wheel based 3D inverted pendulum. ECC Mohanarajah Gajamohan, Michael Muehlebach, Tobias Widmer, Raffaello D'Andrea