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Papers matching “Bayesian inference” 111

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Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

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

1

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
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions
2024 Proceedings of the ACM on Programming Languages article Computer Science Logic, programming, and type systems Open access

Lutz Klinkenberg, Mingshuai Chen, Darion Haase, Joost-Pieter Katoen

11

citations
Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Lutz Klinkenberg, Mingshuai Chen

1

citations
Bayesian Inference in Quantum Programs
2025 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Christina Gehnen, Dominique Unruh, Joost-Pieter Katoen

0

citations
Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach
2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova

2

citations
Data variability in neural network Bayesian inference
2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Gaussian Processes and Bayesian Inference Open access

0

citations
Data variability in neural network Bayesian inference
2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Gaussian Processes and Bayesian Inference Open access

0

citations
Bayesian Inference by Symbolic Model Checking
2020 Lecture notes in computer science conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

10

citations
Statistical physics, Bayesian inference, and neural information processing
2024 Journal of Statistical Mechanics Theory and Experiment article Computer Science Bayesian Modeling and Causal Inference Open access

Erin Grant, Sandra Nestler, Berfin Şimşek, Sara A. Solla

1

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

0

citations
A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
BayesMultiMode : Bayesian Mode Inference in R
2026 Journal of Statistical Software article Computer Science Bayesian Methods and Mixture Models Open access

Nalan Baştürk, Jamie L. Cross, Peter de Knijff, Lennart F. Hoogerheide, Paul Labonne, Herman K. van Dijk

0

citations
Weakest Preexpectation Semantics for Bayesian Inference
2020 Lecture notes in computer science conference-paper Computer Science Logic, programming, and type systems Open access

Marcin Szymczak, Joost-Pieter Katoen

5

citations
Bayesian Inference in Quantum Programs
2025 Leibniz international proceedings in informatics book-chapter Computer Science Quantum Computing Algorithms and Architecture Open access

Christina Gehnen, Dominique Unruh, Joost-Pieter Katoen

0

citations
Automatically Finding the Right Probabilities in Bayesian Networks
2023 Journal of Artificial Intelligence Research article Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

8

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
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
Predictive Coding Networks and Inference Learning: Tutorial and Survey
2026 ACM Computing Surveys article Computer Science Neural Networks and Applications Open access

Björn van Zwol, Ro Jefferson, Egon L. van den Broek

1

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks Open access

Lennard Rompelberg, Michael T. Schaub

2

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
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
Exact Inference for Continuous-Time Gaussian Process Dynamics
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

0

citations