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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
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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
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Euclid preparation. CII. Non-Gaussianity of two-point statistics likelihood: Parameter inference with a non-Gaussian likelihood in Fourier and configuration space2026 Springer Link (Chiba Institute of Technology) article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Sylvain Gouyou Beauchamps, J. Bel, Philippe Baratta, C. Carbone, B Altieri, Stefano Andreon, +94 more
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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