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Julien Bect
Julien Bect
Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes
Verified email at centralesupelec.fr - Homepage
Title
Cited by
Cited by
Year
Sequential design of computer experiments for the estimation of a probability of failure
J Bect, D Ginsbourger, L Li, V Picheny, E Vazquez
Statistics and Computing 22 (3), 773-793, 2012
3682012
Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
E Vazquez, J Bect
Journal of Statistical Planning and Inference 140 (11), 3088-3095, 2010
2712010
A l 1-Unified Variational Framework for Image Restoration
J Bect, L Blanc-Féraud, G Aubert, A Chambolle
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
2252004
Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set
C Chevalier, D Ginsbourger, J Bect, E Vazquez, V Picheny, Y Richet
Technometrics 56 (4), 455-465, 2014
1622014
A Bayesian approach to constrained single-and multi-objective optimization
P Feliot, J Bect, E Vazquez
Journal of Global Optimization 67 (1), 97-133, 2017
1512017
Robust Gaussian process-based global optimization using a fully Bayesian expected improvement criterion
R Benassi, J Bect, E Vazquez
International Conference on Learning and Intelligent Optimization, 176-190, 2011
762011
Bayesian subset simulation
J Bect, L Li, E Vazquez
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 762-786, 2017
732017
A sequential Bayesian algorithm to estimate a probability of failure
E Vazquez, J Bect
IFAC Proceedings Volumes 42 (10), 546-550, 2009
572009
A supermartingale approach to Gaussian process based sequential design of experiments
J Bect, F Bachoc, D Ginsbourger
Bernoulli 25 (4A), 2883-2919, 2019
522019
Quantifying uncertainties on excursion sets under a Gaussian random field prior
D Azzimonti, J Bect, C Chevalier, D Ginsbourger
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 850-874, 2016
472016
Estimating and quantifying uncertainties on level sets using the Vorob’ev expectation and deviation with Gaussian process models
C Chevalier, D Ginsbourger, J Bect, I Molchanov
mODa 10–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2013
462013
A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems
J Bect
Nonlinear Analysis: Hybrid Systems 4 (2), 357-370, 2010
462010
A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems (extended version)
J Bect
46*2010
Adaptive design of experiments for conservative estimation of excursion sets
D Azzimonti, D Ginsbourger, C Chevalier, J Bect, Y Richet
Technometrics 63 (1), 13-26, 2021
442021
METHOD AND SYSTEM FOR PREDICTING THE IMPACT BETWEEN A VEHICLE AND A PEDESTRIAN
J Bect, C Wakim
EP Patent 1,920,421, 2008
382008
Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure
L Li, J Bect, E Vazquez
arXiv preprint arXiv:1207.1963, 2012
362012
A supermartingale approach to Gaussian process based sequential design of experiments
J Bect, F Bachoc, D Ginsbourger
arXiv preprint arXiv:1608.01118, 2016
292016
Sequential search based on kriging: convergence analysis of some algorithms
E Vazquez, J Bect
arXiv preprint arXiv:1111.3866, 2011
252011
Pointwise consistency of the kriging predictor with known mean and covariance functions
E Vazquez, J Bect
mODa 9–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2010
252010
STK: a Small (Matlab/Octave) Toolbox for Kriging
J Bect, E Vazquez
Release 2 (0), 2016
232016
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