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Papers matching “Gaussian processes” 34

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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 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
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
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems
2026 IEEE Access 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

0

citations
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems
2026 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

0

citations
Uncertainty Propagation in Deep Gaussian Process Networks
2025 Mathematical Geosciences article Computer Science Gaussian Processes and Bayesian Inference Open access

Ítalo Gomes Gonçalves, Florian Wellmann

7

citations
Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

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
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
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter
2022 Journal of Process Control article Computer Science Target Tracking and Data Fusion in Sensor Networks

Niloofar Raeyatdoost, Michael Bongards, Thomas Bäck, Christian Wolf

14

citations
Multi-Objective Lookahead Bayesian Optimization for Process Parameter Optimization in Non-Isothermal Glass Molding
2025 Procedia CIRP article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hendrik Mende, Lukas Jäschke, Gustavo Schewinski, Dennis Grunert, Robert Heinrich Schmitt

0

citations
Unified field theoretical approach to deep and recurrent neuronal networks
2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access

Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias

17

citations
Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective
2021 GAMM-Mitteilungen article Computer Science Reinforcement Learning in Robotics Open access

A. René Geist, Sebastian Trimpe

25

citations
Robot Learning With Crash Constraints
2021 IEEE Robotics and Automation Letters article Computer Science Reinforcement Learning in Robotics Open access

24

citations
Robot Learning With Crash Constraints
2021 RWTH Publications (RWTH Aachen) article Computer Science Reinforcement Learning in Robotics

Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti

19

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
Data variability in neural network Bayesian inference
2025 Physical Review Research article Computer Science Gaussian Processes and Bayesian Inference Open access

0

citations
Fast and Robust QEF Minimization using Probabilistic Quadrics
2020 Computer Graphics Forum article Computer Science Computer Graphics and Visualization Techniques Open access cited by 1 patent

Philip Trettner, Leif P. Kobbelt

25

citations
High-Performance Image Filters via Sparse Approximations
2020 Proceedings of the ACM on Computer Graphics and Interactive Techniques article Computer Science Computer Graphics and Visualization Techniques

Kersten Schuster, Philip Trettner, Leif P. Kobbelt

7

citations
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
2023 Symmetry article Computer Science Bayesian Modeling and Causal Inference Open access

Zhipeng Ma, Marco Kemmerling, Daniel Buschmann, Chrismarie Enslin, Daniel Lütticke, Robert Heinrich Schmitt

7

citations
Optimal Fidelity Estimation from Binary Measurements for Discrete and Continuous Variable Systems
2025 PRX Quantum article Computer Science Quantum Information and Cryptography Open access

1

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
2024 Symmetry article Computer Science Gaussian Processes and Bayesian Inference Open access

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

11

citations
Reproducing kernel Hilbert spaces in the mean field limit
2023 Kinetic and Related Models article Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Michaël Herty, Michael Rom, Chiara Segala, Sebastian Trimpe

5

citations
Improving the noise estimation of latent neural stochastic differential equations
2025 Chaos An Interdisciplinary Journal of Nonlinear Science article Computer Science Gaussian Processes and Bayesian Inference Open access

Linus Heck, Maximilian Gelbrecht, Michael T. Schaub, Niklas Boers

1

citations