Publications

Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese

Gaussian process interpolation with conformal prediction: methods and comparative analysis

Estimation of Small Quantile Sets Using a Sequential Bayesian Strategy

Multi-output Gaussian process for river water height estimation

Scalable Gaussian Process for Large Datasets

Bayesian sequential design of computer experiments for quantile set inversion

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

Minimizing the risk of foodborne illness and analytical costs using a QMRA model for raw milk cheeses

Kriging metamodels for 2D finite element simulations of the settlements induced by TBM excavation in urban areas

Bayesian multi-objective optimization for stochastic simulators

Optimizing TBM Parameters through Surface Settlement Monitoring Using Surrogate Modelling Approach

Estimation of (small) reliable sets using a sequential Bayesian strategy

MINERVE – Un jumeau numérique pour gérer l’infrastructure ferroviaire

STK: a Small (Matlab/Octave) Toolbox for Kriging

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?

Quantitative risk assessment and optimization of process intervention parameters for French raw milk soft cheese

Bayesian multi-objective optimization for quantitative risk assessment in microbiology

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

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

Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation

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

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

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

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

On the quantification of discretization uncertainty: comparison of two paradigms

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

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

Bayesian subset simulation

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

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

User preferences in Bayesian multi-objective optimization

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

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

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

Bayesian Optimization

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

Bias and Variance in the Bayesian Subset Simulation Algorithm

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

Sequential search strategies based on kriging

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