50 citations · 119 across the 8 of their papers we have counts for
8 papers
Optimal Linear Interpolation under Differential Information: application to the prediction of perfect flows
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche +3
Approximation of functions satisfying partial differential equations (PDEs) is paramount for simulation of physical fluid flows and other problems in physics. Recently, physics-inf…
Scalable multitask Gaussian processes for complex mechanical systems with functional covariates
Razak Christophe Sabi Gninkou, Andrés F. López-Lopera, Franck Massa +1
Functional covariates arise in many scientific and engineering applications when model inputs take the form of time-dependent or spatially distributed profiles, such as varying bou…
Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
Nathaniel B. Price, Mathieu Balesdent, Sébastien Defoort +3
At the initial design stage engineers often rely on low-fidelity models that have high epistemic uncertainty. Traditional safety-margin-based deterministic design resorts to testin…
Global sensitivity analysis for optimization with variable selection
Adrien Spagnol, Rodolphe Le Riche, Sebastien Da Veiga
The optimization of high dimensional functions is a key issue in engineering problems but it frequently comes at a cost that is not acceptable since it usually involves a complex a…
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front -- Extended Version
David Gaudrie, Rodolphe Le Riche, Victor Picheny +2
Optimizing nonlinear systems involving expensive computer experiments with regard to conflicting objectives is a common challenge. When the number of experiments is severely restri…
Small ensembles of kriging models for optimization
Hossein Mohammadi, Rodolphe Le Riche, Eric Touboul
The Efficient Global Optimization (EGO) algorithm uses a conditional Gaus-sian Process (GP) to approximate an objective function known at a finite number of observation points and…
An analytic comparison of regularization methods for Gaussian Processes
Hossein Mohammadi, Rodolphe Le Riche, Nicolas Durrande +2
Gaussian Processes (GPs) are a popular approach to predict the output of a parameterized experiment. They have many applications in the field of Computer Experiments, in particular…
Bayesian Identification of Elastic Constants in Multi-Directional Laminate from Moiré Interferometry Displacement Fields
Christian Gogu, W. Yin, Raphael T. Haftka +4
The ply elastic constants needed for classical lamination theory analysis of multi-directional laminates may differ from those obtained from unidirectional laminates because of thr…