Charlie SIRE
Présentation
I work on uncertainty quantification in the context of expensive-to-evaluate simulators and spatio-temporal statistics. My research is primarily based on Gaussian Processes, applied to various challenges such as quantization, optimization, design of experiments, Bayesian calibration, and SPDE-based approaches.
Publications
Publications
|
|
Bayesian calibration for prediction in a multi-output transposition contextInternational Journal for Uncertainty Quantification, 2025, 15 (6), pp.37-59. ⟨10.1615/Int.J.UncertaintyQuantification.2025056586⟩ |
|
|
Improved metamodels for predicting high-dimensional outputs by accounting for the dependence structure of the latent variables: application to marine floodingStochastic Environmental Research and Risk Assessment, 2023, 37 (8), pp.2919-2941. ⟨10.1007/s00477-023-02426-z⟩ |
|
|
Quantizing rare random maps: application to flooding visualizationJournal of Computational and Graphical Statistics, 2023, 32 (4), pp.1556-1571. ⟨10.1080/10618600.2023.2203764⟩ |
|
|
Spline Interpolation on Compact Riemannian Manifolds2025 |
|
|
FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations2023 |
|
|
Augmented Quantization: Mixture Models for Risk-Oriented Sensitivity Analysis2025 |
Robust inversion under uncertainty for risk analysis – application to the failure of defences against floodingMathematics [math]. Université de Lyon, 2023. English. ⟨NNT : ⟩ |
|
|
Plans d'expériences: Plans associés à la régression linéaireÉcole d'ingénieur. France. 2023 |
|
|
Plans d'expériences pour simulations numériquesÉcole d'ingénieur. France. 2023 |
|
|
Introduction to Global OptimizationMaster. France. 2021 |