Publications

MINERVE – Un jumeau numérique pour gérer l’infrastructure ferroviaire

Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction

Integration of bounded monotone functions: Revisiting the nonsequential case, with a focus on unbiased Monte Carlo (randomized) methods

Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization

Reliability-based inversion: Stepwise uncertainty reduction strategies?

Bayesian multi-objective optimization for quantitative risk assessment in microbiology

Sequential Bayesian inversion of black-box functions in presence of uncertainties

Parameter selection in Gaussian process interpolation: an empirical study of selection criteria

Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization

Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method

Bayesian sequential design of computer experiments to estimate reliable sets

Extension of the Pareto Active Learning method to multi-objective optimization for stochastic simulators

On the quantification of discretization uncertainty: comparison of two paradigms

Extension of the Pareto Active Learning Method to Multi-Objective Optimization for Stochastic Simulators

Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients

A Bayesian approach for the optimal integration of renewable energy sources in distribution networks over multi-year horizons

Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation

Gaussian process model selection for computer experiments

Bayesian multi-objective optimization with noisy evaluations

Bayesian multi-objective optimization with noisy evaluations using the Knowledge Gradient

Optimisation of multi-year planning strategies to better integrate renewable energies and new electricity uses in the distribution grid

User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion

Planification d’expériences numériques en multi-fidélité, appliquée à la sécurité en ingénierie incendie

Bayesian Subset Simulation Tutorial

Assessing fire safety using complex numerical models with a Bayesian multi-fidelity approach

Bayesian subset simulation

A Bayesian approach to constrained single- and multi-objective optimization

Design of a commercial aircraft environment control system using Bayesian optimization techniques

Sequential design of experiment on a stochastic multi-fidelity simulator to estimate a probability of exceeding a threshold

Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failure

Sequential design of experiments to estimate a probability of exceeding a threshold in a multi-fidelity stochastic simulator

User preferences in Bayesian multi-objective optimization

Bayesian Optimization

Gaussian process modeling for stochastic multi-fidelity simulators, with application to fire safety

Bias and Variance in the Bayesian Subset Simulation Algorithm

BMOO: a Bayesian Multi-Objective Optimization algorithm

Planification et analyse d’expériences numériques, appliquées à la sécurité en ingénierie incendie

Design and analysis of multi-level numerical experiments, with application to fire safety

Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system

A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functions

A Bayesian Approach to Constrained Multi-objective Optimization

The Informational Approach to Global Optimization in presence of very noisy evaluation results. Application to the optimization of renewable energy integration strategies

Échantillonnage préférentiel et méta-modèles : méthodes bayésiennes optimale et défensive

Sequential search strategies based on kriging

A Bayesian approach to constrained multi-objective optimization

Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set

A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functions

Quantification et réduction de l’incertitude concernant les propriétés de monotonie d’un code de calcul coûteux à évaluer

Uncertainty quantification and reduction for the monotonicity properties of expensive-to-evaluate computer models

Fully Bayesian approach for the estimation of (first-order) Sobol indices

Sequential search strategies based on kriging

Modélisation comportementale de systèmes non-linéaires multivariables par méthodes à noyaux et applications