| SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes P Saves, R Lafage, N Bartoli, Y Diouane, J Bussemaker, T Lefebvre, ... Advances in Engineering Software 188, 103571, 2024 | 30 | 2024 |
| Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design P Saves, E Nguyen Van, N Bartoli, Y Diouane, C David, T Lefebvre, ... AIAA SCITECH 2022 Forum, 0082, 2022 | 21 | 2022 |
| A mixed-categorical correlation kernel for Gaussian process P Saves, Y Diouane, N Bartoli, T Lefebvre, J Morlier Neurocomputing 550 (126472), 126472, 2023 | 13 | 2023 |
| Constrained bayesian optimization over mixed categorical variables, with application to aircraft design P Saves, E Nguyen Van, N Bartoli, Y Diouane, T Lefebvre, J Morlier, ... AeroBest 2021, 2021 | 12 | 2021 |
| Regularized infill criteria for multi-objective bayesian optimization with application to aircraft design R Grapin, Y Diouane, J Morlier, N Bartoli, T Lefebvre, P Saves, ... AIAA AVIATION 2022 Forum, 4053, 2022 | 9 | 2022 |
| A general square exponential kernel to handle mixed-categorical variables for Gaussian process P Saves, Y Diouane, N Bartoli, T Lefebvre, J Morlier AIAA AVIATION 2022 Forum, 3870, 2022 | 6 | 2022 |
| High-dimensional efficient global optimization using both random and supervised embeddings R Priem, N Bartoli, Y Diouane, S Dubreuil, P Saves AIAA AVIATION 2023 Forum, 4448, 2023 | 4 | 2023 |
| Multi-objective Bayesian Optimization With Mixed-categorical Design Variables For Expensive-to-evaluate Aeronautical Applications N Bartoli, T Lefebvre, R Lafage, P Saves, Y Diouane, J Morlier, ... AEROBEST 2023 1 (1), 436, 2023 | 3 | 2023 |
| Enhanced Kriging models within a Bayesian optimization framework to handle both continuous and categorical inputs P Saves, N Bartoli, Y Diouane, J Morlier, T Lefebvre SIAM CSE21, 2021 | 2 | 2021 |
| A new mixed-categorical correlation kernel for Gaussian process P Saves, Y Diouane, N Bartoli, T Lefebvre, J Morlier no, 2023 | 1 | 2023 |
| High-dimensional multidisciplinary design optimization for aircraft eco-design P Saves Toulouse, ISAE-SUPAERO, 2024 | | 2024 |
| System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems JH Bussemaker, P Saves, N Bartoli, T Lefebvre, R Lafage | | 2024 |
| Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints JH Bussemaker, P Saves, N Bartoli, T Lefebvre, B Nagel | | 2024 |
| High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft P Saves, Y Diouane, N Bartoli, T Lefebvre, J Morlier arXiv preprint arXiv:2311.06130, 2023 | | 2023 |
| New advances in Multidisciplinary Design Optimization with Gaussian Process for Eco-design Aircraft P Saves, N Bartoli, Y Diouane, J Morlier, T Lefebvre, EN Van, C David, ... 3rd European MDO Workshop, 2022 | | 2022 |
| AGILE 4.0 Project. On adapting the Super-Efficient Global Optimization solver to handle mixed-variables, with applications in aircraft design. Master's Thesis. P Saves DOI:10.5281/zenodo.4672290, 2020 | | 2020 |
| High dimensional multidisciplinary design optimization with Gaussian process for eco-design aircraft P Saves | | |
| 2022 MULTIDISCIPLINARY DESIGN OPTIMIZATION BEST PAPER AWARD P Saves, EN Van, N Bartoli, T Lefebvre, C David, S Defoort, Y Diouane, ... | | |
Nathalie BartoliSenior researcher, ONERA - HDR Applied MathematicsVerified email at onera.fr
