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Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio
0citations -
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems2026 RWTH Publications (RWTH Aachen) article Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti, +1 more
0citations -
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti
0citations -
Exact Inference for Continuous-Time Gaussian Process Dynamics2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe
2citations -
Efficient hybrid multiobjective optimization of pressure swing adsorption2021 Chemical Engineering Journal article Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Zhimian Hao, Adrian Caspari, Artur M. Schweidtmann, Yannic Vaupel, Alexei A. Lapkin, Adel Mhamdi
57citations