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Papers matching “Bayesian uncertainty quantification” 9

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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
MCMC for Bayesian Uncertainty Quantification from Time-Series Data
2020 Lecture notes in computer science conference-paper Mathematics Markov Chains and Monte Carlo Methods Open access

Philip Maybank, Patrick Peltzer, Uwe Naumann, Ingo Bojak

2

citations
End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines
2022 PHM Society European Conference conference-paper Engineering Machine Fault Diagnosis Techniques Open access

Marios Kefalas, Bas van Stein, Mitra Baratchi, Asteris Apostolidis, Thomas Bäck

4

citations
Uncertainty Quantification and Visualization in Play Mapping – A New Approach for Play-Based Exploration
2020 conference-paper Earth and Planetary Sciences Geological Modeling and Analysis

Benjamin Wendebourg, Miguel de la Varga, Florian Wellmann, Peter A. Kukla

0

citations
LABEL-EFFICIENT CARDIAC VOLUME ESTIMATION IN REAL-TIME MRI USING SPARSE BAYESIAN LEARNING
2025 UNCECOMP Proceedings conference-paper Medicine Cardiac Imaging and Diagnostics Open access

Felix Terhag, Philipp Knechtges, Anja Bach, Darius A. Gerlach, Jens Tank, Achim Basermann, +1 more

0

citations
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

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
MCMC-Based Probabilistic Damage Characterization for Plate Structures Using Responses at Vibration Nodes
2021 Lecture notes in civil engineering conference-paper Engineering Structural Health Monitoring Techniques

Tianxiang Huang, Chengrui Wan, Kai‐Uwe Schröder

1

citations
An all-sky search method for coherent magnetic field deflections of ultra-high-energy cosmic rays based on Deep Learning
2023 International Cosmic Ray Conference conference-paper Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Josina Schulte, Teresa Bister, Martin Erdmann

1

citations

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