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Papers matching “Gaussian process regression” 101

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Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access cited by 1 patent

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

48

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

9

citations
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Tammo Hesselink, Botond Szabó

3

citations
Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning
2025 Lecture notes in computer science conference-paper Medicine Nasal Surgery and Airway Studies Open access

Mario Rüttgers, Fabian Hübenthal, Makoto Tsubokura, Andreas Lintermann

1

citations
A Gaussian Process Regression IV Model for PV Outdoor Data
2025 Progress in Photovoltaics Research and Applications article Energy Photovoltaic System Optimization Techniques Open access

Timon S. Vaas, Bart Elger Pieters, Evgenii Sovetkin, Andreas Gerber, Uwe Rau

0

citations
A Gaussian Process Regression IV Model for PV Outdoor Data
2025 Progress in Photovoltaics Research and Applications article Energy Photovoltaic System Optimization Techniques Open access

Timon S. Vaas, Bart Elger Pieters, Evgenii Sovetkin, Andreas Gerber, Uwe Rau

0

citations
Gaussian Process Regression for Maximum Entropy Distribution
2020 Journal of Computational Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Mohsen Sadr, Manuel Torrilhon, Hossein Gorji

14

citations
A Gaussian Process Regression IV Model for PV Outdoor Data
2025 Progress in Photovoltaics Research and Applications article Computer Science Solar Radiation and Photovoltaics Open access

Timon S. Vaas, Bart Elger Pieters, Evgenii Sovetkin, Andreas Gerber, Uwe Rau

0

citations
Learning Battery Model Parameter Dynamics From Data With Recursive Gaussian Process Regression
2025 Journal of Dynamic Systems Measurement and Control article Engineering Advanced Battery Technologies Research Open access

Antti Aitio, Dominik Jöst, Dirk Uwe Sauer, David A. Howey

15

citations
Surrogate Modeling for Active Drag Reduction in Turbulent Boundary Layer Flows Using Multitask Gaussian Process Regression
2024 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Fabian Hübenthal, Matthias H. Meinke, Wolfgang Schröder

1

citations
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
2020 Frontiers in Psychology article Computer Science Gaussian Processes and Bayesian Inference Open access

Julian David Karch, Andreas M. Brandmaier, Manuel C. Voelkle

19

citations
A Gaussian Process Based Method for Data- Efficient Remaining Useful Life Estimation
2021 IEEE Access article Engineering Machine Fault Diagnosis Techniques Open access

Maximilian Benker, Artem Bliznyuk, Michael F. Zaeh

23

citations
Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel?
2021 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Botond Szabó

18

citations
Gaussian process emulators for the undrained bearing capacity of spatially random soils using cell-based smoothed finite element method
2025 Journal of Rock Mechanics and Geotechnical Engineering article Engineering Geotechnical Engineering and Analysis Open access

Hoang Nguyen, Xuzhen He, Majidreza Nazem, Xuejian Chen, Haoding Xu

3

citations
Structure-preserving Gaussian Process Dynamics
2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Sebastian Trimpe

1

citations
Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems
2020 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Arturs Bērziņš, Jan Helmig, Fabian Key, Stefanie Elgeti

15

citations
KernelMatmul: Scaling Gaussian Processes to Large Time Series
2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

0

citations
Searching for Quasi-periodic Oscillations in Astrophysical Transients Using Gaussian Processes
2022 The Astrophysical Journal article Physics and Astronomy Gamma-ray bursts and supernovae Open access

M. T. Hübner, Daniela Huppenkothen, P. D. Lasky, Andrew R. Inglis, Christopher Ick, David W. Hogg

21

citations
Weighted distribution of relaxation time analysis ofbattery impedance spectra using Gaussian processregression for noise estimation
2024 ChemRxiv preprint Engineering Advanced Battery Technologies Research Open access

Limei Jin, Franz Philipp Bereck, Rüdiger‐A. Eichel, Christoph Scheurer, Josef Granwehr

1

citations
Adaptation using spatially distributed Gaussian Processes
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Adaptation Using Spatially Distributed Gaussian Processes
2025 Journal of the American Statistical Association article Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Application and Evaluation of Mathematical Models for Prediction of the Electric Energy Demand Using Plant Data of Five Industrial-Size EAFs
2021 Metals article Engineering Iron and Steelmaking Processes Open access

Alexander Reimann, Thomas Hay, Thomas Echterhof, Marcus Kirschen, Herbert Pfeifer

18

citations
Real-life data-driven model predictive control for building energy systems comparing different machine learning models
2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

71

citations
Daily Load Forecasting Using Explainable AI-Driven Method With Integrated Error Correlation
2025 IEEE Access article Engineering Energy Load and Power Forecasting Open access

Ei Thu Thu Tun, Kamal Chapagain, Pyae Pyae Phyo, Yung-Cheol Byun, Vannak Seng, Panharith Chhom, +1 more

2

citations