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Thomas Beckers

Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models

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Jun 17, 2024
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Physics-enhanced Gaussian Process Variational Autoencoder

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May 15, 2023
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Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification

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May 15, 2023
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Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior

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May 15, 2023
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The Value of Data in Learning-Based Control for Training Subset Selection

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Nov 20, 2020
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Real-time Uncertainty Decomposition for Online Learning Control

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Oct 06, 2020
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Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics

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Sep 14, 2020
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Prediction with Gaussian Process Dynamical Models

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Jun 25, 2020
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Localized active learning of Gaussian process state space models

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Jun 04, 2020
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Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization

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Sep 12, 2019
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