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The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulicsNuclear Science and Engineering, 2022, 196, pp.301-321. ⟨10.1080/00295639.2021.1980362⟩
Article dans une revue
hal-02535146v4
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Hidden But Essential Recipes for Successful Gaussian Process Metamodeling to Support Uncertainty Quantification in Numerical SimulationSIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy
Communication dans un congrès
cea-04506392v1
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Gaussian process regression: new hyperparameter estimation algorithm for more reliable predictionSIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy
Communication dans un congrès
cea-04506405v1
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New estimation algorithm for more reliable prediction in Gaussian process regression: application to an aquatic ecosystem modelEnbis 23 - The 23th annual conference of the European Network for Business and Industrial Statistics, ENBIS, Sep 2023, Valence, Spain
Communication dans un congrès
cea-04216148v1
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Test d'indépendance basé sur les indices HSIC-ANOVA d'ordre total53èmes Journées de Statistique de la SFdS, Société Française de Statistique (SFdS); Université Claude Bernard Lyon 1, Jun 2022, Lyon, France
Communication dans un congrès
cea-03701170v1
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The ICSCREAM methodology: identification of penalizing configurations in computer experiments using screening and metamodel applications in thermal-hydraulicsUQ22 - SIAM Conference on Uncertainty Quantification, SIAM, Apr 2022, Atlanta, United States
Communication dans un congrès
cea-03700747v1
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What is hidden behind the Sobolev kernels involved in the HSIC-ANOVA decomposition?2022 SAMO Conference - 10th International Conference on Sensitivity Analysis of Model Output, Florida State University, Mar 2022, Tallahassee, United States
Communication dans un congrès
cea-03701074v1
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New insights into the feature maps of Sobolev kernels: application in global sensitivity analysis2023
Pré-publication, Document de travail
cea-04320711v1
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