130 citations · 145 across the 4 of their papers we have counts for
4 papers
Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes
L. Le Gratiet, S. Marelli, B. Sudret
Global sensitivity analysis is now established as a powerful approach for determining the key random input parameters that drive the uncertainty of model output predictions. Yet th…
Kriging-based sequential design strategies using fast cross-validation techniques with extensions to multi-fidelity computer codes
Loic Le Gratiet, Claire Cannamela
Kriging-based surrogate models have become very popular during the last decades to approximate a computer code output from few simulations. In practical applications, it is very co…
Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression
Loic Le Gratiet, Josselin Garnier
This paper deals with the speed of convergence of the learning curve in a Gaussian process regression framework. The learning curve describes the average generalization error of th…
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
In many practical cases, a sensitivity analysis or an optimization of a complex time consuming computer code requires to build a fast running approximation of it - also called surr…