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Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes2024 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) conference-paper Computer Science Gaussian Processes and Bayesian Inference
Saksham Kiroriwal, Julius Pfrommer, Hendrik Mende, Robert Heinrich Schmitt, Jürgen Beyerer
1citations -
dfm/tinygp: The tiniest of Gaussian Process libraries2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Gaussian Processes and Bayesian Inference Open access
Daniel T. Foreman-Mackey, Weixiang Yu, Sachin Yadav, McCoy R. Becker, Neven Čaplar, Daniela Huppenkothen, +4 more
0citations -
dfm/tinygp: The tiniest of Gaussian Process libraries2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Gaussian Processes and Bayesian Inference Open access
Daniel T. Foreman-Mackey, Weixiang Yu, Sachin Yadav, McCoy R. Becker, Neven Čaplar, Daniela Huppenkothen, +4 more
0citations -
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 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 -
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 -
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