| 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 | 175 | 2017 |
| User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion P Feliot, J Bect, E Vazquez Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 23 | 2019 |
| Design of a commercial aircraft environment control system using Bayesian optimization techniques P Feliot, YL Guennec, J Bect, E Vazquez arXiv preprint arXiv:1610.02271, 2016 | 18 | 2016 |
| Parameter selection in Gaussian process interpolation: an empirical study of selection criteria SJ Petit, J Bect, P Feliot, E Vazquez SIAM/ASA Journal on Uncertainty Quantification 11 (4), 1308-1328, 2023 | 10* | 2023 |
| Constrained multi-fidelity surrogate framework using Bayesian optimization with non-intrusive reduced-order basis H Khatouri, T Benamara, P Breitkopf, J Demange, P Feliot Advanced Modeling and Simulation in Engineering Sciences 7, 1-20, 2020 | 9 | 2020 |
| Isogeometric shape optimisation of volumetric blades for aircraft engines M Guerder, A Duval, T Elguedj, P Feliot, J Touzeau Structural and Multidisciplinary Optimization 65 (3), 86, 2022 | 6 | 2022 |
| Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients S Petit, J Bect, S Da Veiga, P Feliot, E Vazquez arXiv preprint arXiv:2002.11543, 2020 | 6 | 2020 |
| Une approche Bayésienne pour l'optimisation multi-objectif sous contraintes P Feliot Université Paris Saclay (COmUE), 2017 | 6 | 2017 |
| A Bayesian approach to constrained multi-objective optimization P Feliot, J Bect, E Vazquez Learning and Intelligent Optimization: 9th International Conference, LION 9 …, 2015 | 6 | 2015 |
| Optimisation de la production d'hydrogène vert renouvelable sous incertitudes V Spitzer, F Sanson, P Feliot, E Gurevsky, A Rossi 24ème Congrès Annuel de la Société Française de Recherche Opérationnelle et …, 2023 | 2 | 2023 |
| Gaussian process interpolation: the choice of the family of models is more important than that of the selection criterion S Petit, J Bect, P Feliot, E Vazquez | 1 | 2021 |
| Gaussian process model selection for computer experiments S Petit, J Bect, P Feliot, E Vazquez MASCOT PhD student 2020 Meeting, 2020 | 1 | 2020 |
| Bmoo: a bayesian multi-objective optimization algorithm P Feliot, J Bect, E Vazquez Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), 2016 | 1 | 2016 |
| User preferences in Bayesian multi-objective optimization P Feliot, J Bect, E Vazquez PGMO Days 2017, 2017 | | 2017 |
| A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functions P Feliot, J Bect, E Vazquez World Congress on Global Optimization (WCGO 2015), 2015 | | 2015 |
| A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functions P Feliot, J Bect, E Vazquez PGMO-COPI’14, 2014 | | 2014 |
| Model parameters in Gaussian process interpolation SJ Petit, J Bect, P Feliot, E Vazquez | | |
