Loic Le Gratiet

发表

Planification d'expériences séquentielle dans un contexte de méta-modélisation multi-fidélité.

Loic Le Gratiet, L. L. Gratiet, 2012, 1205.6687.

A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes

Claire Cannamela, Bertrand Iooss, Loic Le Gratiet, 2013, SIAM/ASA J. Uncertain. Quantification.

Bayesian Analysis of Hierarchical Multifidelity Codes

Loic Le Gratiet, L. L. Gratiet, 2011, SIAM/ASA J. Uncertain. Quantification.

RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY

Loic Le Gratiet, L. L. Gratiet, 2012, 1210.0686.

Building Probability of Detection Curves via Metamodels

Bertrand Iooss, Léa Maurice, Loic Le Gratiet, 2015 .

Kriging-based sequential design strategies using fast cross-validation techniques with extensions to multi-fidelity computer codes

Claire Cannamela, Loic Le Gratiet, C. Cannamela, 2012, 1210.6187.

Building kriging models using hierarchical codes with different levels of accuracy.

Loic Le Gratiet, 2011 .

Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression

Josselin Garnier, Loic Le Gratiet, J. Garnier, 2012, 1210.2879.

Estimate of quantile-oriented sensitivity indices

Bertrand Iooss, Loic Le Gratiet, Jean-Claude Fort, 2017 .

Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance

Bertrand Iooss, Amandine Marrel, Loic Le Gratiet, 2021, Qual. Reliab. Eng. Int..

Metamodel-based sensitivity analysis: polynomial chaos expansions and Gaussian processes

Loic Le Gratiet, S. Marelli, L. L. Gratiet, 2016, 1606.04273.

Cokriging-Based Sequential Design Strategies Using Fast Cross-Validation Techniques for Multi-Fidelity Computer Codes

Loïc Le Gratiet, Claire Cannamela, Loic Le Gratiet, 2015, Technometrics.

ANOVA decomposition of conditional Gaussian processes for sensitivity analysis with dependent inputs

Loic Le Gratiet, G. Chastaing, G. Chastaing, 2013, 1310.3578.

Multi-fidelity Gaussian process regression for computer experiments

Loic Le Gratiet, L. L. Gratiet, 2013 .

Asymptotic analysis of the learning curve for Gaussian process regression

Loic Le Gratiet, J. Garnier, 2015, Machine Learning.

Differential Distribution of Functional Co-transmitted Cholinergic and GABAergic Synaptic Inputs onto Substantia Nigra Dopaminergic Neurons by Keyrian

Loic Le Gratiet, L. L. Gratiet, 2021 .

Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes

Loïc Le Gratiet, Bertrand Iooss, Loic Le Gratiet, 2017, Reliab. Eng. Syst. Saf..

A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes

Loic Le Gratiet, B. Iooss, C. Cannamela, 2013, SIAM/ASA J. Uncertain. Quantification.

Asymptotic normality of a Sobol index estimator in Gaussian process regression framework

Loic Le Gratiet, L. L. Gratiet, 2013, 1305.7406.