System architecture optimization strategies: dealing with expensive hierarchical problems - Jasper H. Bussemaker; Paul Saves; Nathalie Bartoli; Thierry Lefebvre; Rémi Lafage (J. Glob. Optim., 2025)

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems - Jasper H. Bussemaker; Paul Saves; Nathalie Bartoli; Thierry Lefebvre; Rémi Lafage (CoRR, 2025)

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings - Rémy Priem; Youssef Diouane; Nathalie Bartoli; Sylvain Dubreuil; Paul Saves (CoRR, 2025)

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes - Paul Saves; Rémi Lafage; Nathalie Bartoli; Youssef Diouane; Jasper H. Bussemaker; Thierry Lefebvre; John T. Hwang; Joseph Morlier; Joaquim R. R. A. Martins (Adv. Eng. Softw., 2024)

Development of a Mission-Tailored Tail-Sitter MAV - Luiz F. T. Fernandez; Murat Bronz; Nathalie Bartoli; Thierry Lefebvre (Unmanned Syst., 2024)

A mixed-categorical correlation kernel for Gaussian process - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (Neurocomputing, 2023)

SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes - Paul Saves; Rémi Lafage; Nathalie Bartoli; Youssef Diouane; Jasper H. Bussemaker; Thierry Lefebvre; John T. Hwang; Joseph Morlier; Joaquim R. R. A. Martins (CoRR, 2023)

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (CoRR, 2023)

A mixed-categorical correlation kernel for Gaussian process - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (CoRR, 2022)

Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses - Morgane Menz; Christian Gogu; Sylvain Dubreuil; Nathalie Bartoli; Jérôme Morio (Reliab. Eng. Syst. Saf., 2020)

Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design - Rémy Priem; Nathalie Bartoli; Youssef Diouane; Alessandro Sgueglia (CoRR, 2020)

An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design - Rémy Priem; Hugo Gagnon; Ian Chittick; Stephane Dufresne; Youssef Diouane; Nathalie Bartoli (CoRR, 2020)

Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes - Morgane Menz; Sylvain Dubreuil; Jérôme Morio; Christian Gogu; Nathalie Bartoli; Marie Chiron (CoRR, 2020)

Optimisation adaptative basée sur les métamodèles. (Surrogate-based and adaptive optimization) - Nathalie Bartoli (2019)

A Python surrogate modeling framework with derivatives - Mohamed Amine Bouhlel; John T. Hwang; Nathalie Bartoli; Rémi Lafage; Joseph Morlier; Joaquim R. R. A. Martins (Adv. Eng. Softw., 2019)