Uncertainty Quantification in Coupled Multiphysics Systems via Gaussian Process Surrogates: Application to Fuel Assembly Bow
Fuente:
arXiv
Saved in:
| Main Authors: | Abboud, Ali, Garnier, Josselin, Leturcq, Bertrand, de Lambert, Stanislas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty quantification in neutron and gamma time correlation measurements
by: Lartaud, Paul, et al.
Published: (2024)
by: Lartaud, Paul, et al.
Published: (2024)
Multi-fidelity Gaussian process regression for noisy outputs and non-nested experimental designs: a comparison between the recursive and non-recursive formulations
by: Baillie, Nils, et al.
Published: (2025)
by: Baillie, Nils, et al.
Published: (2025)
Robust a posteriori estimation of probit-lognormal seismic fragility curves via sequential design of experiments and constrained reference prior
by: Van Biesbroeck, Antoine, et al.
Published: (2025)
by: Van Biesbroeck, Antoine, et al.
Published: (2025)
A Virtual Solar Wind Monitor at Mars with Uncertainty Quantification using Gaussian Processes
by: Azari, A. R., et al.
Published: (2024)
by: Azari, A. R., et al.
Published: (2024)
Deep Gaussian Process Emulation and Uncertainty Quantification for Large Computer Experiments
by: Yazdi, Faezeh, et al.
Published: (2024)
by: Yazdi, Faezeh, et al.
Published: (2024)
Application of the Modular Bayesian Approach for Inverse Uncertainty Quantification in Nuclear Thermal-Hydraulics Systems
by: Wang, Chen
Published: (2024)
by: Wang, Chen
Published: (2024)
Reference prior for Bayesian estimation of seismic fragility curves
by: Van Biesbroeck, Antoine, et al.
Published: (2023)
by: Van Biesbroeck, Antoine, et al.
Published: (2023)
Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification
by: Pim, Aaron, et al.
Published: (2025)
by: Pim, Aaron, et al.
Published: (2025)
Uncertainty Quantification in CT pulmonary angiography
by: Rambojun, Adwaye M, et al.
Published: (2023)
by: Rambojun, Adwaye M, et al.
Published: (2023)
Democratizing Uncertainty Quantification
by: Seelinger, Linus, et al.
Published: (2024)
by: Seelinger, Linus, et al.
Published: (2024)
MOOSE ProbML: Parallelized Probabilistic Machine Learning and Uncertainty Quantification for Computational Energy Applications
by: Dhulipala, Somayajulu L. N., et al.
Published: (2025)
by: Dhulipala, Somayajulu L. N., et al.
Published: (2025)
Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
by: Kachabi, Amirreza, et al.
Published: (2025)
by: Kachabi, Amirreza, et al.
Published: (2025)
Uncertainty Estimation of the Optimal Decision with Application to Cure Process Optimization
by: Li, Yezhuo, et al.
Published: (2025)
by: Li, Yezhuo, et al.
Published: (2025)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
by: de Beer, Alex, et al.
Published: (2024)
by: de Beer, Alex, et al.
Published: (2024)
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
by: Eshra, Elsayed, et al.
Published: (2024)
by: Eshra, Elsayed, et al.
Published: (2024)
Hierarchical Bayesian Modeling for Time-Dependent Inverse Uncertainty Quantification
by: Wang, Chen
Published: (2024)
by: Wang, Chen
Published: (2024)
Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)
by: Pintado, Maria F., et al.
Published: (2023)
Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression
by: García-Ruiz, Rubén Antonio, et al.
Published: (2024)
by: García-Ruiz, Rubén Antonio, et al.
Published: (2024)
Uncertainty Quantification for Agent Based Models: A Tutorial
by: Kimpton, Louise, et al.
Published: (2024)
by: Kimpton, Louise, et al.
Published: (2024)
Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
by: Ke, Yuxuan, et al.
Published: (2025)
by: Ke, Yuxuan, et al.
Published: (2025)
On the Impact of Monte Carlo Statistical Uncertainty on Surrogate-based Design Optimization
by: Erdem, Omer F., et al.
Published: (2025)
by: Erdem, Omer F., et al.
Published: (2025)
Uncertainty Quantification in Working Memory via Moment Neural Networks
by: Ma, Hengyuan, et al.
Published: (2024)
by: Ma, Hengyuan, et al.
Published: (2024)
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
Post-2024 U.S. Presidential Election Analysis of Election and Poll Data: Real-life Validation of Prediction via Small Area Estimation and Uncertainty Quantification
by: Zheng, Zheshi, et al.
Published: (2025)
by: Zheng, Zheshi, et al.
Published: (2025)
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
by: Wang, Qingyi, et al.
Published: (2023)
by: Wang, Qingyi, et al.
Published: (2023)
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
by: Longjohn, Rachel, et al.
Published: (2025)
by: Longjohn, Rachel, et al.
Published: (2025)
Estimating Decision Uncertainty from Preference Uncertainty: Application to Ground Vehicle Design
by: Liu, Chia-Ruei, et al.
Published: (2026)
by: Liu, Chia-Ruei, et al.
Published: (2026)
Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes
by: Thomas, Owen, et al.
Published: (2024)
by: Thomas, Owen, et al.
Published: (2024)
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, et al.
Published: (2024)
by: Gosnell, Arron, et al.
Published: (2024)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
by: Li, Yezhuo, et al.
Published: (2025)
by: Li, Yezhuo, et al.
Published: (2025)
Evaluation of Surrogate Endpoints Based on Meta-Analysis with Surrogate Indices
by: Stijven, Florian, et al.
Published: (2025)
by: Stijven, Florian, et al.
Published: (2025)
Analyzing Pension Fund Mortality with Gaussian Processes in a Sub Population Framework
by: de Melo, Eduardo F. L., et al.
Published: (2025)
by: de Melo, Eduardo F. L., et al.
Published: (2025)
Adaptation of Globodera pallida to Individual Components Compromises the Durability of Pyramided Resistance in Potato
by: Océane Lechevalier, et al.
Published: (2025)
by: Océane Lechevalier, et al.
Published: (2025)
Combining Masculinizing Resistance, Rotation, and Biocontrol to Achieve Durable Suppression of the Potato Pale Cyst Nematode: A Model
by: Israël Tankam Chedjou, et al.
Published: (2024)
by: Israël Tankam Chedjou, et al.
Published: (2024)
Rapid Parameter Inference with Uncertainty Quantification for a Radiological Plume Source Identification Problem
by: Edwards, Christopher, et al.
Published: (2025)
by: Edwards, Christopher, et al.
Published: (2025)
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
by: Fadikar, Arindam, et al.
Published: (2024)
by: Fadikar, Arindam, et al.
Published: (2024)
Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)
by: Murphy, Fiona, et al.
Published: (2024)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
Similar Items
-
Uncertainty quantification in neutron and gamma time correlation measurements
by: Lartaud, Paul, et al.
Published: (2024) -
Multi-fidelity Gaussian process regression for noisy outputs and non-nested experimental designs: a comparison between the recursive and non-recursive formulations
by: Baillie, Nils, et al.
Published: (2025) -
Robust a posteriori estimation of probit-lognormal seismic fragility curves via sequential design of experiments and constrained reference prior
by: Van Biesbroeck, Antoine, et al.
Published: (2025) -
A Virtual Solar Wind Monitor at Mars with Uncertainty Quantification using Gaussian Processes
by: Azari, A. R., et al.
Published: (2024) -
Deep Gaussian Process Emulation and Uncertainty Quantification for Large Computer Experiments
by: Yazdi, Faezeh, et al.
Published: (2024)