Céline Helbert
Publications
Publications
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Gradient-Based Active Learning with Gaussian Processes for Global Sensitivity AnalysisENBIS, Sep 2025, Athènes, Greece |
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Multiobjective Bayesian Optimization under uncertaintiesRencontres annuelles 2024 du réseau Mexico, Dec 2024, Villeurbanne, France |
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EFISUR A sampling criterion for constrained bayesian optimization with uncertaintiesSIAM UQ, Feb 2024, Trieste, Italy |
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AQUIGROW - sustainable AQUIfer recharge to enhance resilience of GROundWater services under increased drought risk WP4 - Metamodeling as a tool to support decisionsAQUIGROW Water4all project meeting, Oct 2024, Perugia (Italy), Italy |
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Approach for Meta-Modeling and Sensitivity Analysis of Computational Codes in the Presence of Dependent Random Variables. Application to a design tool for vegetated stripsRencontres annuelles du réseau Mexico, Réseau Mexico, Dec 2023, Palaiseau (France), France |
Sampling Criteria for Constrained Bayesian Optimization under UncertaintyHybrid Conference: 2022 SIAM Conference on Uncertainty Quantification, Apr 2022, Atlanta, United States |
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Comparison and evaluation of metamodeling methods with qualitative variables for the design of vegetative filter stripsTenth International Conference on Sensitivity Analysis of Model Output (SAMO), Mar 2022, Tallahassee (faite en virtuel), United States |
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Metamodeling approaches to help designing vegetative filter strips and improve the water qualityEGU General Assembly 2022, May 2022, Vienna, Austria. ⟨10.5194/egusphere-egu22-10539⟩ |
Coupling constraints in Bayesian optimization with uncertainties4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), Jun 2021, Athens, Greece |
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Metamodeling methods that incorporate qualitative variables for improved design of vegetative filter strips4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), Jun 2021, Athènes, Greece |
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Coupling constraints in Bayesian optimization with uncertaintiesJournées scientifiques d'automne de la chaire OQUAIDO, Dec 2020, visioconférence, France |
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Metamodeling methods that incorporate qualitative variables for improved design of vegetative filter strips.EGU General Assembly 2020, May 2020, Vienna (Online), France. ⟨10.5194/egusphere-egu2020-15234⟩ |
Optimization under uncertainties by composing sampling and optimization with Bayesian algorithmsModel Uncertainty in Risk Management, Jan 2020, Paris, France |
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Sampling strategies for metamodel enrichment and automotive fan optimizationEuropean Conference on Turbomachinery Fluid Dynamics and Thermodynamics, European Turbomachinery Society, Apr 2019, Lausanne, Switzerland. ⟨10.29008/ETC2019-322⟩ |
Bayesian Optimization Under Uncertainty for Chance Constrained ProblemsPGMO Days 2019, Dec 2019, Palaiseau, France |
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Critères de robustesse pour l'optimisation sur métamodèle de krigeageJDS 2018 (SFDS), May 2018, Paris Saclay, France |
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Critère de robustesse dédié aux schémas d'optimisation basés sur des métamodèles de type krigeageCFM 2017 - 23ème Congrès Français de Mécanique, Aug 2017, Lille, France |
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Robustness criterion for the optimization scheme based on kriging metamodel23ème Congrès Français de Mécanique, Aug 2017, Lille, France |
Metamodeling as a tool to size vegetative filter strips for surface runoff pollution control in French watersheds.EcoSummit 2016, Ecological Sustainability: Engineering Change, Aug 2016, Montpellier, France. pp.27 |
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Sensitivity analysis and metamodeling methods for designing buffer strips to protect water from pesticide transfers8th International conference on sensitivity analysis of model output, Nov 2016, La Réunion, France. pp.58-60 |
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Multi-fidelity regression using a non-parametric relationshipMASCOT 2014 - Méthodes d'Analyse Statistique pour les COdes et Traitements numériques, Apr 2014, Zurich, Switzerland |
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Modélisation de simulateurs industriels multifidélités : apport d'une approche bayésienne globale.Journée de Statistique de la SFDS, May 2013, France. pp.75 |
Stochastic modelling of sources of thermal building envelop for sensitivity analysis7th International Conference on Sensitivity Analysis of Model Output (SAMO 2013), Jul 2013, Nice, France |
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Spatio-temporal modeling of Western African monsoonLes ateliers de modélisation de l'atmosphère. Architectures massivement parallèles : adaptation des modèles et apports de la puissance, Feb 2011, Toulouse, France |
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Spatio-temporal modeling for West-African monssonMETMA V - International Workshop on Spatio-Temporal Modelling, Jun 2010, Santiago de Compostela, Spain |
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Assessment of uncertainty in computer experiments: from universal kriging to bayesian krigingJoint ENBIS-DEINDE 2007 Conference "Computer Experiments versus Physical Experiments", Apr 2007, Turin, Italy |
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Robust estimation of the variogram in computer experimentsENBIS 7 Dortmund, Sep 2007, Dortmund, Germany |
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Mixing Krigings for Global OptimizationENBIS 7 Dortmund, Sep 2007, Dortmund, Germany |
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Plans d expériences optimaux pour la quantification d'incertitudes avec des codes de calcul38ième Journées de Statistiques de la SFdS, May 2006, Clamart, France |
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Construction d'un critère d'optimalité pour les plans d'expériences numériques dans le cadre de la propagation d'incertitudes30 ans de Méthodologie de la Recherche Expérimentale, Jun 2005, Aix en Provence, France |
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Modélisation stochastique et simulation de la transformation de poudre par germination et croissance35ème journée de la statistique, Jun 2003, Lyon, France |
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Le modèle de Mampel par Monte-Carlo33 èmes journées de cinétique hétérogène, Mar 2002, Compiègne, France |
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Stochastic modelling and simulation of powder transformation by nucleation and growthSecond Annual ENBIS Conference, Sep 2002, Rimini, Italy |
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Multiobjective Optimization under Uncertainties using Conditional Pareto Fronts2025 |
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Feasible set estimation under functional uncertainty by Gaussian Process modelling2021 |
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Sequential design for prediction with Gaussian process models2020 |
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Measuring the quality of maximin space-filling designs2014 |
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Discrete Mixtures of Kernels for Kriging-based Optimization2008 |
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Activity report ciroquo research & industry consortiumEcole Centrale de Lyon; Mines Saint-Etienne; Université Toulouse 3 (Paul Sabatier); Stellantis France; BRGM (Bureau de recherches géologiques et minières); CEA; IFP Energies Nouvelles; Institut de Radioprotection et de Sûreté Nucléaire; Storengy; INRIA; CNRS. 2024, pp.1-11 |
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Chair in applied mathematics OQUAIDO Activity report[Research Report] Mines Saint-Etienne; Ecole Centrale Lyon; BRGM (Bureau de recherches géologiques et minières); CEA; IFP Energies Nouvelles; Institut de Radioprotection et de Sûreté Nucléaire; Safran Tech; Storengy; CNRS; Université Grenoble - Alpes; Université Nice - Sophia Antipolis; Université Toulouse 3 (Paul Sabatier). 2021 |
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Modèles probabilistes de germination/croissance pour la transformation des poudresProbabilités [math.PR]. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2005. Français. ⟨NNT : 2005EMSE0011⟩ |