Alexandre Capone

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Gaussian Process

Top Venues

IEEE Control. Syst. Lett.

Publications

Tzu-Yuan Huang, Xiaobing Dai, Sihua Zhang, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions. CoRR (2024)
Tzu-Yuan Huang, Sihua Zhang, Xiaobing Dai, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions. IEEE Control. Syst. Lett. 8 (2024)
Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan
Computation-Aware Learning for Stable Control with Gaussian Process. CoRR (2024)
Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan
Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem. CoRR (2024)
Alexandre Capone, Geoff Pleiss, Sandra Hirche
Sharp Calibrated Gaussian Processes. CoRR (2023)
Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates. CoRR (2023)
Alexandre Capone, Sandra Hirche, Geoff Pleiss
Sharp Calibrated Gaussian Processes. NeurIPS (2023)
Alexandre Capone, Junjie Jiao, Mostafa Zarei, Shiqi Zhang, Sandra Hirche
Robust H∞ Consensus for Homogeneous Multi-agent Systems with Parametric Uncertainties. ACC (2023)
Alexandre Capone, Tim Brüdigam, Sandra Hirche
Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach. CoRR (2023)
Alexandre Capone, Armin Lederer, Sandra Hirche
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. ICML (2022)
Junjie Jiao, Alexandre Capone, Sandra Hirche
Backstepping Tracking Control Using Gaussian Processes With Event-Triggered Online Learning. IEEE Control. Syst. Lett. 6 (2022)
Martin Schuck, Jan Brüdigam, Alexandre Capone, Stefan Sosnowski, Sandra Hirche
Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control. CoRR (2022)
Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. L4DC (2022)
Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche
Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control. Syst. Lett. 5 (3) (2021)
Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
The Impact of Data on the Stability of Learning-Based Control. L4DC (2021)
Alexandre Capone, Armin Lederer, Sandra Hirche
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. CoRR (2021)
Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche
How Training Data Impacts Performance in Learning-Based Control. IEEE Control. Syst. Lett. 5 (3) (2021)
Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. CoRR (2021)
Tim Brüdigam, Alexandre Capone, Sandra Hirche, Dirk Wollherr, Marion Leibold
Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. CoRR (2021)
Armin Lederer, Alexandre Capone, Sandra Hirche
Parameter Optimization for Learning-based Control of Control-Affine Systems. L4DC (2020)
Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche
How Training Data Impacts Performance in Learning-based Control. CoRR (2020)
Alexandre Capone, Sandra Hirche
Anticipating the long-term effect of online learning in control. ACC (2020)
Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
The Value of Data in Learning-Based Control for Training Subset Selection. CoRR (2020)
Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
Localized active learning of Gaussian process state space models. CoRR (2020)
Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
Localized active learning of Gaussian process state space models. L4DC (2020)
Alexandre Capone, Sandra Hirche
Anticipating the Long-Term Effect of Online Learning in Control. CoRR (2020)
Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC (2020)
Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche
Data selection for multi-task learning under dynamic constraints. CoRR (2020)
Alexandre Capone, Sandra Hirche
Backstepping for Partially Unknown Nonlinear Systems Using Gaussian Processes. IEEE Control. Syst. Lett. 3 (2) (2019)
Alexandre Capone, Sandra Hirche
Interval Observers for a Class of Nonlinear Systems Using Gaussian Process Models. ECC (2019)
Denis Bytschkow, Alexandre Capone, Jan Mayer, Michael Kramer, Thomas Licklederer
An OPC UA-based Energy Management Platform for Multi-Energy Prosumers in Districts. ISGT Europe (2019)