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Author search results
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- Thomas Beckers — disambiguation page
- Thomas Beckers 0001
Vanderbilt University, Nashville, TN, USA - Thomas Beckers 0002
University of Duisburg-Essen, Department of Computer Science and Applied Cognitive Science, Germany
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Publication search results
found 73 matches
- 2024
- Kaiyuan Tan, Peilun Li, Thomas Beckers:
Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models. L4DC 2024: 1753-1764 - Martin Tschaikner, Danja Brandt, Henning Schmidt, Felix Bießmann, Teodor Chiaburu, Ilona Schrimpf, Thomas Schrimpf, Alexandra Stadel, Frank Haußer, Ingeborg E. Beckers:
Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta). CoRR abs/2404.18504 (2024) - Kaiyuan Tan, Peilun Li, Thomas Beckers:
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models. CoRR abs/2406.11809 (2024) - 2023
- Jacob R. Goodman, Thomas Beckers, Leonardo J. Colombo:
Geometric Control for Load Transportation With Quadrotor UAVs by Elastic Cables. IEEE Trans. Control. Syst. Technol. 31(6): 2848-2862 (2023) - Thomas Beckers:
Data-Driven Bayesian Control of Port-Hamiltonian Systems. CDC 2023: 8708-8713 - Thomas Beckers, Qirui Wu, George J. Pappas:
Physics-enhanced Gaussian Process Variational Autoencoder. L4DC 2023: 521-533 - Thomas Beckers, Qirui Wu, George J. Pappas:
Physics-enhanced Gaussian Process Variational Autoencoder. CoRR abs/2305.09006 (2023) - Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CoRR abs/2305.09017 (2023) - Thomas Beckers, Tom Z. Jiahao, George J. Pappas:
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. CoRR abs/2305.09689 (2023) - Thomas Beckers:
Data-driven Bayesian Control of Port-Hamiltonian Systems. CoRR abs/2309.04678 (2023) - 2022
- Thomas Beckers, Leonardo J. Colombo, Sandra Hirche, George J. Pappas:
Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics. IEEE Control. Syst. Lett. 6: 2090-2095 (2022) - Thomas Beckers, Sandra Hirche:
Prediction With Approximated Gaussian Process Dynamical Models. IEEE Trans. Autom. Control. 67(12): 6460-6473 (2022) - Thomas Beckers, Leonardo J. Colombo, Manfred Morari, George J. Pappas:
Learning-based Balancing of Model-based and Feedback Control for Second-order Mechanical Systems. CDC 2022: 4667-4673 - Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees. CDC 2022: 7254-7259 - Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC 2022: 1447-1453 - Arthur Beckers, Roel Uytterhoeven, Thomas Vandenabeele, Jo Vliegen, Lennert Wouters, Joan Daemen, Wim Dehaene, Benedikt Gierlichs, Nele Mentens:
Energy and side-channel security evaluation of near-threshold cryptographic circuits in 28nm FD-SOI technology. CF 2022: 258-262 - 2021
- Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CDC 2021: 2197-2202 - Junya Yamauchi, Marco Omainska, Thomas Beckers, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita:
Cooperative Visual Pursuit Control with Learning of Position Dependent Target Motion via Gaussian Process. CDC 2021: 2211-2217 - Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Impact of Data on the Stability of Learning-Based Control. L4DC 2021: 623-635 - Thomas Beckers:
An Introduction to Gaussian Process Models. CoRR abs/2102.05497 (2021) - Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CoRR abs/2104.00130 (2021) - Jacob R. Goodman, Juan S. Cely, Thomas Beckers, Leonardo J. Colombo:
Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables. CoRR abs/2111.00777 (2021) - Manuela Gamonal Fernández, Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control with Gaussian Processes. CoRR abs/2112.07779 (2021) - 2020
- Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. L4DC 2020: 490-499 - Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche:
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC 2020: 160-169 - Junya Yamauchi, Thomas Beckers, Marco Omainska, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita:
Visual Pursuit Control with Target Motion Learning via Gaussian Process. SICE 2020: 1365-1372 - Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. CoRR abs/2005.02191 (2020) - Thomas Beckers, Sandra Hirche:
Prediction with Gaussian Process Dynamical Models. CoRR abs/2006.14551 (2020) - Thomas Beckers, Leonardo Colombo, Sandra Hirche:
Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics. CoRR abs/2009.06689 (2020) - Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche:
Real-time Uncertainty Decomposition for Online Learning Control. CoRR abs/2010.02613 (2020)
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