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Papers matching “Bayesian uncertainty” 41

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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
Facing Uncertainty in AI: From Formal Verification To Synthesis
2025 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

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
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
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
Integrated Multimodal Data Pipelines for Intelligent Security Monitoring in Smart Cities
2025 Preprints.org preprint Computer Science Video Surveillance and Tracking Methods Open access

Johannes Richter, Felix K. Wagner

0

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
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data
2026 IEEE Transactions on Pattern Analysis and Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Adèle H. Ribeiro, Dominik Heider

2

citations
Inner approximations of coherent lower probabilities and their application to decision making problems
2023 Annals of Operations Research article Computer Science Bayesian Modeling and Causal Inference Open access

Enrique Miranda, Ignacio Montes, Andrés Presa

6

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
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

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
V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism
2025 CAAI Transactions on Intelligence Technology article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent

Yang Zhang, Li Tian, Fanghong Zhang, Yu Ren, Yinhao Li, Chuanyun Xu

2

citations
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
A compositional approach to probabilistic knowledge compilation
2021 International Journal of Approximate Reasoning article Computer Science Bayesian Modeling and Causal Inference Open access

Giso H. Dal, Alfons Laarman, Arjen Hommersom, Peter Lucas

6

citations
DATA-DRIVEN CAUSAL DISCOVERY IN CATALYSIS
2026 ChemRxiv preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bárbara Alves Sequeira, Adèle H. Ribeiro, Catarina Barata, Carmen Bacariza, Pedro S. F. Mendes

0

citations