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Papers in Gaussian Processes and Bayesian Inference 49

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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
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
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
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
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
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
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 processes and other kernel methods
2025 Cambridge University Press eBooks book-chapter Computer Science Gaussian Processes and Bayesian Inference

Borja Requena, Marylou Gabrié

12

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
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
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

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
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
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

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
Bayesian calibration, process modeling and uncertainty quantification in biotechnology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges

4

citations
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives
2022 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt

4

citations
Probabilistic machine learning for pattern recognition and design exploration
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Cremanns

3

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
Exact Inference for Continuous-Time Gaussian Process Dynamics
2024 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

2

citations
Structure-Preserving Gaussian Process Dynamics
2023 Lecture notes in computer science conference-paper Computer Science Gaussian Processes and Bayesian Inference

Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe

2

citations
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
2020 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

David Rügamer, Chris Kolb, Nadja Klein

2

citations
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

2

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
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