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Emmanuel VAZQUEZ

Prof. & researcher in Bayesian design and analysis of computer experiments; coordinator of Data Science projects at CentraleSupelec

L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

Publications

About meResearchCV
2024
Communications dans des congrès

Gaussian process interpolation with conformal prediction: methods and comparative analysis

Pion, Vazquez
LOD 2024, 10th International Conference on Machine Learning, Optimization, and Data Science, Castiglione della Pescaia Grosseto Italy, Italie, 2024

Estimation of Small Quantile Sets Using a Sequential Bayesian Strategy

Ait Abdelmalek-Lomenech, Bect, Chabridon, Vazquez
SIAM Conference on Uncertainty Quantification (UQ24), Trieste, Italie, 2024
Autre documents

Bayesian sequential design of computer experiments for quantile set inversion

Ait Abdelmalek-Lomenech, Bect, Chabridon, Vazquez
2024
2023
Articles dans des revues

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

Petit, Bect, Feliot, Vazquez
JUQ, 11 (4), ASA, American Statistical Association, p. 1308-1328, 2023
Communications dans des congrès

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

Basak, Christy, Guillier, Audiat-Perrin, Sanaa, Tenenhaus-Aziza, Bect, Vazquez
12th International Conference on Predictive Modelling in Food (ICPMF12), Sapporo, Japon, 2023

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

Kratz, Jehel, Tatin, Vazquez
Congrès Français du Génie Civil 2023, Gif-sur-Yvette, France, 2023

Bayesian multi-objective optimization for stochastic simulators

Basak, Bect, Guillier, Tenenhaus-Aziza, Vazquez
MASCOT-NUM 2023, Le croisic, France, 2023
Posters

Optimizing TBM Parameters through Surface Settlement Monitoring Using Surrogate Modelling Approach

Kratz, Jehel, Tatin, Vazquez
PhD day, june 2023, Palaiseau, Palaiseau, France, 2023

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

Ait Abdelmalek-Lomenech, Bect, Chabridon, Vazquez
MASCOT-NUM 2023, Le croisic, France, 2023

MINERVE – Un jumeau numérique pour gérer l’infrastructure ferroviaire

Achhab, Baudry, Clouteau, El Mesri, Fau, Gabrielidis, Gatti, Gatuingt, Gautier, Giry, Hudelot, Jehel, Lopez-Caballero, Massoulié, Quercini, Vazquez, Ragueneau, Vialle
Colloque Jumeaux Numériques, Gif-sur-Yvette, France, 2023
Autre documents
2022
Articles dans des revues

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

Stroh, Bect, Demeyer, Fischer, Marquis, Vazquez
Technometrics, 64 (2), p. 199-209, 2022
Communications dans des congrès

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

Petit, Bect, Vazquez
MASCOT-NUM 2022, Clermont-Ferrand, France, 2022

Reliability-based inversion: Stepwise uncertainty reduction strategies?

Ait Abdelmalek-Lomenech, Bect, Vazquez
SIAM Conference on Uncertainty Quantification (UQ22), Atlanta, États-Unis, 2022
Posters

Bayesian multi-objective optimization for quantitative risk assessment in microbiology

Basak, Bect, Guillier, Tenenhaus-Aziza, Christy, Vazquez
MASCOT-NUM 2022, Clermont-Ferrand, France, 2022

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

Ait Abdelmalek-Lomenech, Bect, Vazquez
MASCOT-NUM 2022, Clermont-Ferrand, France, 2022
Autre documents
2021
Communications dans des congrès

Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation

Basak, Petit, Bect, Vazquez
7th International Conference on machine Learning, Optimization and Data science (LOD 2021), Grasmere, Royaume-Uni, 2021

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

Barracosa, Morin, Dutrieux Baraffe, Bect, Vazquez, Fournel
26th International Conference & Exhibition on Electricity Distribution (CIRED 2021), Online (initially planned in Geneva), France, 2021

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

Petit, Bect, da Veiga, Feliot, Vazquez
52èmes Journées de Statistique de la SFdS (JdS 2020), Nice, France, 2021

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

Barracosa, Bect, Dutrieux Baraffe, Morin, Fournel, Vazquez
MASCOT-NUM Workshop on Stochastic Simulators, Virtual conference, France, 2021

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

Barracosa, Bect, Dutrieux Baraffe, Morin, Fournel, Vazquez
SIAM Conference on Computational Science and Engineering (CSE21), Virtual Conference originally scheduled in Fort Worth, Texas, États-Unis, 2021

On the quantification of discretization uncertainty: comparison of two paradigms

Bect, Zio, Perrin, Cannamela, Vazquez
14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS), Virtual conference, originally scheduled in Paris, France, 2021
2020
Posters

Bayesian multi-objective optimization with noisy evaluations

Barracosa, Bect, Dutrieux Baraffe, Morin, Fournel, Vazquez
MASCOT PhD student 2020 Meeting, Grenoble, France, 2020

Gaussian process model selection for computer experiments

Petit, Bect, Feliot, Vazquez
MASCOT PhD student 2020 Meeting, Grenoble, France, 2020
2019
Communications dans des congrès

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

Barracosa, Bect, Baraffe, Morin, Malarange, Vazquez
PGMO Days 2019, Palaiseau, France, 2019
Posters

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

Barracosa, Baraffe, Bect, Malarange, Morin, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2019), Rueil-Malmaison, France, 2019
2018
Communications dans des congrès

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

Feliot, Bect, Vazquez
Machine Learning, Optimization, and Data Science. 4th International Conference (LOD 2018), Volterra, Italie, 2018

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

Stroh, Bect, Demeyer, Fischer, Marquis, Vazquez
50èmes Journées de Statistique de la SFdS (JdS 2018), Palaiseau, France, 2018

Bayesian Subset Simulation Tutorial

Vazquez, Bect
SIAM Conference on Uncertainty Quantification (SIAM UQ 2018), Garden Grove, Orange County, États-Unis, 2018
Chapitres d’ouvrages scientifiques

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

Stroh, Bect, Demeyer, Fischer, Vazquez
in Advanced Mathematical and Computational Tools in Metrology and Testing XI, vol. 89, pp. 349-356, WORLD SCIENTIFIC, 2018
2017
Articles dans des revues

Bayesian subset simulation

Bect, Li, Vazquez
JUQ, 5 (1), ASA, American Statistical Association, p. 762-786, 2017

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

Stroh, Bect, Demeyer, Fischer, Marquis, Vazquez
Fire Safety Journal, 91, p. 1016-1025, 2017

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

Feliot, Bect, Vazquez
Journal of Global Optimization, 67 (1), p. 97-133, 2017
Communications dans des congrès

User preferences in Bayesian multi-objective optimization

Feliot, Bect, Vazquez
PGMO Days 2017, Palaiseau, France, 2017

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

Stroh, Bect, Demeyer, Fischer, Vazquez
11th International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing (AMTCM 2017), Glasgow, Royaume-Uni, 2017

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

Stroh, Demeyer, Fischer, Bect, Vazquez
61th World Statistics Congress of the International Statistical Institute (ISI 2017), Marrakech, Maroc, 2017

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

Stroh, Bect, Vazquez, Demeyer, Fischer
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2017), Paris, France, 2017

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

Feliot, Le Guennec, Bect, Vazquez
EngOpt 2016, 5th International Conference on Engineering Optimization, Iguassu Falls, Brésil, 2017
Autre documents

Bayesian Optimization

Bect, Vazquez
2017
2016
Communications dans des congrès

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

Stroh, Bect, Demeyer, Fischer, Vazquez
48èmes Journées de Statistique de la SFdS (JdS 2016), Montpellier, France, 2016

Bias and Variance in the Bayesian Subset Simulation Algorithm

Bect, Sueur, Vazquez
2016 SIAM Conference on Uncertainty Quantification, Lausanne, Suisse, 2016

BMOO: a Bayesian Multi-Objective Optimization algorithm

Feliot, Bect, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Toulouse, France, 2016

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

Stroh, Bect, Vazquez, Demeyer, Fischer, Damien
21èmes journées du GDR Feux, Cadarache, France, 2016
Posters

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

Stroh, Bect, Demeyer, Fischer, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Toulouse, France, 2016
Autres ouvrages scientifiques
2015
Communications dans des congrès

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

Dutrieux, Aleksovska, Bect, Vazquez, Gauthier, Francois
47èmes Journées de Statistique de la SFdS (JdS 2015), Lille, France, 2015
H.D.R.

Journal articles

Conference papers

Books

Patents and software

These/HDR

2015
H.D.R.
2005
Thèses