Interval Observers for a Class of Nonlinear Systems Using Gaussian Process Models. - Alexandre Capone; Sandra Hirche (ECC, 2019)

An OPC UA-based Energy Management Platform for Multi-Energy Prosumers in Districts. - Denis Bytschkow; Alexandre Capone; Jan Mayer; Michael Kramer; Thomas Licklederer (ISGT Europe, 2019)

Backstepping for Partially Unknown Nonlinear Systems Using Gaussian Processes. - Alexandre Capone; Sandra Hirche (IEEE Control. Syst. Lett., 2019)

Anticipating the long-term effect of online learning in control. - Alexandre Capone; Sandra Hirche (ACC, 2020)

Localized active learning of Gaussian process state space models. - Alexandre Capone; Gerrit Noske; Jonas Umlauft; Thomas Beckers 001; Armin Lederer; Sandra Hirche (L4DC, 2020)

Parameter Optimization for Learning-based Control of Control-Affine Systems. - Armin Lederer; Alexandre Capone; Sandra Hirche (L4DC, 2020)

Smart Forgetting for Safe Online Learning with Gaussian Processes. - Jonas Umlauft; Thomas Beckers 001; Alexandre Capone; Armin Lederer; Sandra Hirche (L4DC, 2020)

Localized active learning of Gaussian process state space models. - Alexandre Capone; Jonas Umlauft; Thomas Beckers 001; Armin Lederer; Sandra Hirche (CoRR, 2020)

The Value of Data in Learning-Based Control for Training Subset Selection. - Armin Lederer; Alexandre Capone; Thomas Beckers 001; Jonas Umlauft; Sandra Hirche (CoRR, 2020)

The Impact of Data on the Stability of Learning-Based Control. - Armin Lederer; Alexandre Capone; Thomas Beckers 001; Jonas Umlauft; Sandra Hirche (L4DC, 2021)

Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. - Tim Brüdigam; Alexandre Capone; Sandra Hirche; Dirk Wollherr; Marion Leibold (CoRR, 2021)

Data Selection for Multi-Task Learning Under Dynamic Constraints. - Alexandre Capone; Armin Lederer; Jonas Umlauft; Sandra Hirche (IEEE Control. Syst. Lett., 2021)

How Training Data Impacts Performance in Learning-Based Control. - Armin Lederer; Alexandre Capone; Jonas Umlauft; Sandra Hirche (IEEE Control. Syst. Lett., 2021)

Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. - Alexandre Capone; Armin Lederer; Sandra Hirche (ICML, 2022)

Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. - Jan Brüdigam; Martin Schuck; Alexandre Capone; Stefan Sosnowski; Sandra Hirche (L4DC, 2022)

Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control. - Martin Schuck; Jan Brüdigam; Alexandre Capone; Stefan Sosnowski; Sandra Hirche (CoRR, 2022)

Backstepping Tracking Control Using Gaussian Processes With Event-Triggered Online Learning. - Junjie Jiao; Alexandre Capone; Sandra Hirche (IEEE Control. Syst. Lett., 2022)

Robust H∞ Consensus for Homogeneous Multi-agent Systems with Parametric Uncertainties. - Alexandre Capone; Junjie Jiao; Mostafa Zarei; Shiqi Zhang 005; Sandra Hirche (ACC, 2023)

Sharp Calibrated Gaussian Processes. - Alexandre Capone; Sandra Hirche; Geoff Pleiss (NeurIPS, 2023)

Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates. - Alexandre Capone; Ryan K. Cosner; Aaron D. Ames; Sandra Hirche (CoRR, 2023)

Computation-Aware Learning for Stable Control with Gaussian Process. - Wenhan Cao; Alexandre Capone; Rishabh Yadav; Sandra Hirche; Wei Pan 004 (Robotics: Science and Systems, 2024)

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem. - Wenhan Cao; Alexandre Capone; Sandra Hirche; Wei Pan 004 (CoRR, 2024)

Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions. - Tzu-Yuan Huang; Sihua Zhang; Xiaobing Dai; Alexandre Capone; Velimir Todorovski; Stefan Sosnowski; Sandra Hirche (IEEE Control. Syst. Lett., 2024)

Koopman-Equivariant Gaussian Processes. - Petar Bevanda; Max Beier; Alexandre Capone; Stefan Sosnowski; Sandra Hirche; Armin Lederer (AISTATS, 2025)

Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach. - Alexandre Capone; Tim Brüdigam; Sandra Hirche (IEEE Trans. Autom. Control., 2025)

Learning Safe Control via On-the-Fly Bandit Exploration. - Alexandre Capone; Ryan K. Cosner; Aaaron Ames; Sandra Hirche (CoRR, 2025)

Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks. - Rohit Sonker; Alexandre Capone; Andrew Rothstein; Hiro Josep Farre Kaga; Egemen Kolemen; Jeff G. Schneider (CoRR, 2025)

Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions. - Aman Mehra; Alexandre Capone; Jeff G. Schneider (CoRR, 2025)