Michael Muehlebach

CoRR, May, 2026

Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts.

[BibT_eX]

[DOI]

CoRR, May, 2026

Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing.

[BibT_eX]

[DOI]

Kijung Jeon

Molei Tao

CoRR, April, 2026

Zeroth-Order Optimization at the Edge of Stability.

[BibT_eX]

[DOI]

CoRR, April, 2026

Structured Learning for Electromagnetic Field Modeling and Real-Time Inversion.

[BibT_eX]

[DOI]

CoRR, February, 2026

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference.

[BibT_eX]

[DOI]

Melanie Nicole Zeilinger

CoRR, February, 2026

Accelerated first-order optimization under nonlinear constraints.

[BibT_eX]

[DOI]

Math. Program., January, 2026

Stochastic Online Optimization for Cyber-Physical and Robotic Systems.

[BibT_eX]

[DOI]

Hao Ma

Melanie Nicole Zeilinger

Mach. Learn., January, 2026

Teaching Machine Learning Fundamentals with LEGO Robotics.

[BibT_eX]

[DOI]

Viacheslav Sydora

CoRR, January, 2026

A critical perspective on finite sample conformal prediction theory in medical applications.

[BibT_eX]

[DOI]

Klaus-Rudolf Kladny

Lisa M. Koch

Christian F. Baumgartner

Artif. Intell. Medicine, 2026

2025

A Systems-Theoretic View on the Convergence of Algorithms under Disturbances.

[BibT_eX]

[DOI]

CoRR, December, 2025

Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control.

[BibT_eX]

[DOI]

CoRR, November, 2025

Efficient Model-Based Reinforcement Learning for Robot Control via Online Learning.

[BibT_eX]

[DOI]

CoRR, October, 2025

PENEX: AdaBoost-Inspired Neural Network Regularization.

[BibT_eX]

[DOI]

Klaus-Rudolf Kladny

CoRR, October, 2025

Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control.

[BibT_eX]

[DOI]

Ghadeer Elmkaiel

Syn Schmitt

CoRR, August, 2025

Dynamic Electromagnetic Navigation.

[BibT_eX]

[DOI]

Jasan Zughaibi

Bradley J. Nelson

IEEE Robotics Autom. Lett., June, 2025

ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining.

[BibT_eX]

[DOI]

Melis Ilayda Bal

Volkan Cevher

CoRR, May, 2025

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing.

[BibT_eX]

[DOI]

Hao Ma

Sabrina Bodmer

Andrea Carron

Melanie Nicole Zeilinger

CoRR, May, 2025

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics.

[BibT_eX]

[DOI]

CoRR, March, 2025

The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective.

[BibT_eX]

[DOI]

Zhiyu He

Kiran Koshy Thekumparampil

CoRR, January, 2025

Zeroth-Order Optimization Finds Flat Minima.

[BibT_eX]

[DOI]

Liang Zhang

Bingcong Li

Sewoong Oh

Niao He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Quantization-Free Autoregressive Action Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing.

[BibT_eX]

[DOI]

Kijung Jeon

Molei Tao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Pontryagin Perspective on Reinforcement Learning.

[BibT_eX]

[DOI]

Onno Eberhard

Claire Vernade

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Controlling Participation in Federated Learning with Feedback.

[BibT_eX]

[DOI]

Michael Cummins

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Distributed Event-Based Learning via ADMM.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Partially Observable Reinforcement Learning with Memory Traces.

[BibT_eX]

[DOI]

Onno Eberhard

Claire Vernade

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering.

[BibT_eX]

[DOI]

Klaus-Rudolf Kladny

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adversarial Training for Defense Against Label Poisoning Attacks.

[BibT_eX]

[DOI]

Melis Ilayda Bal

Volkan Cevher

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust Feedback Optimization with Model Uncertainty: A Regularization Approach.

[BibT_eX]

[DOI]

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Deep Backtracking Counterfactuals for Causally Compliant Explanations.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Toward a Systems Theory of Algorithms.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

Gray-Box Nonlinear Feedback Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Primal Methods for Variational Inequality Problems with Functional Constraints.

[BibT_eX]

[DOI]

Liang Zhang

Niao He

CoRR, 2024

Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation.

[BibT_eX]

[DOI]

Jasan Zughaibi

Bradley J. Nelson

CoRR, 2024

Towards a Systems Theory of Algorithms.

[BibT_eX]

[DOI]

CoRR, 2024

Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XX, 2024

Conformal Performance Range Prediction for Segmentation Output Quality Control.

[BibT_eX]

[DOI]

Christian F. Baumgartner

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy.

[BibT_eX]

[DOI]

Christian F. Baumgartner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Bi-Level Motion Imitation for Humanoid Robots.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Reinforcement learning with model-based feedforward inputs for robotic table tennis.

[BibT_eX]

[DOI]

Auton. Robots, December, 2023

A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification.

[BibT_eX]

[DOI]

CoRR, 2023

Causal effect estimation from observational and interventional data through matrix weighted linear estimators.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online Learning under Adversarial Nonlinear Constraints.

[BibT_eX]

[DOI]

Pavel Kolev

Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Dynamical Systems Perspective on Discrete Optimization.

[BibT_eX]

[DOI]

Tong Guanchun

Proceedings of the Learning for Dynamics and Control Conference, 2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Efficient Online Learning of Ball Placement in Robot Table Tennis.

[BibT_eX]

[DOI]

IROS, 2023

Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report.

[BibT_eX]

[DOI]

CoRR, 2022

A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization.

[BibT_eX]

[DOI]

Aniket Das

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

2020

Continuous-time Lower Bounds for Gradient-based Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

The Silver Ratio and its Relation to Controllability.

[BibT_eX]

[DOI]

CoRR, 2019

Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction.

[BibT_eX]

[DOI]

N. Benjamin Erichson

Michael W. Mahoney

CoRR, 2019

A Dynamical Systems Perspective on Nesterov Acceleration.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Accelerometer-Based Tilt Determination for Rigid Bodies With a Nonaccelerated Pivot Point.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2018

Distributed Event-Based State Estimation for Networked Systems: An LMI Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

On the Approximation of Constrained Linear Quadratic Regulator Problems and their Application to Model Predictive Control - Supplementary Notes.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Nonlinear Analysis and Control of a Reaction-Wheel-Based 3-D Inverted Pendulum.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2017

Implementation of a parametrized infinite-horizon model predictive control scheme with stability guarantees.

[BibT_eX]

[DOI]

Carmelo Sferrazza

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Trajectory tracking and iterative learning on an unmanned aerial vehicle using parametrized model predictive control.

[BibT_eX]

[DOI]

Carmelo Sferrazza

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Basis functions design for the approximation of constrained linear quadratic regulator problems encountered in model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Approximation of Continuous-Time Infinite-Horizon Optimal Control Problems Arising in Model Predictive Control - Supplementary Notes.

[BibT_eX]

[DOI]

CoRR, 2016

Application of an approximate model predictive control scheme on an unmanned aerial vehicle.

[BibT_eX]

[DOI]

Matthias Hofer

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Approximation of continuous-time infinite-horizon optimal control problems arising in model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Parametrized infinite-horizon model predictive control for linear time-invariant systems with input and state constraints.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Guaranteed ℋ2 performance in distributed event-based state estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Event-based Control, 2015

LMI-based synthesis for distributed event-based state estimation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

A Fan-Based, Low-Frequent, Forced Oscillation Technique Apparatus.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2014

2013

The Cubli: A reaction wheel based 3D inverted pendulum.

[BibT_eX]

[DOI]

Mohanarajah Gajamohan

Tobias Widmer

Proceedings of the 12th European Control Conference, 2013

Nonlinear analysis and control of a reaction wheel-based 3D inverted pendulum.

[BibT_eX]

[DOI]

Gajamohan Mohanarajah