Capone, Alexandre

13 publications

NeurIPS 2025 Improving Model-Based Reinforcement Learning by Converging to Flatter Minima Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone, Jeff Schneider

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

ICML 2025 Learning Safe Control via On-the-Fly Bandit Exploration Alexandre Capone, Ryan Kazuo Cosner, Aaron Ames, Sandra Hirche

ICML 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 Schneider

ICMLW 2024 Accelerated Online Reinforcement Learning Using Auxiliary Start State Distributions Aman Mehra, Alexandre Capone, Jeff Schneider

ICMLW 2024 Gaussian Process-Based Representation Learning via Timeseries Symmetries Petar Bevanda, Max Beier, Armin Lederer, Alexandre Capone, Stefan Georg Sosnowski, Sandra Hirche

NeurIPS 2023 Sharp Calibrated Gaussian Processes Alexandre Capone, Sandra Hirche, Geoff Pleiss

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

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

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

L4DC 2020 Localized Active Learning of Gaussian Process State Space Models Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, 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, Alexandre Capone, Armin Lederer, Sandra Hirche