Michael Muehlebach
21 papers · 2019–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Michael Muehlebach?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Bernhard Schölkopf, Hao Ma, Dieter Büchler
7 papers
· 2022–2025
· RSS, ICLR, CoRL
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Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
ICLR 2025
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
CoRL 2025
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
RSS 2024
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
L4DC 2023
Causal effect estimation from observational and interventional data through matrix weighted linear estimators
UAI 2023
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
RSS 2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
NeurIPS 2022
6 papers whose co-authors appear nowhere else under this name
Adversarial Training for Defense Against Label Poisoning Attacks
ICLR 2025
Bi-Level Motion Imitation for Humanoid Robots
CoRL 2024
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
MICCAI 2024
A Dynamical Systems Perspective on Discrete Optimization
L4DC 2023
Online Learning under Adversarial Nonlinear Constraints
NeurIPS 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
COLT 2023