| Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems L Brevault, M Balesdent, A Hebbal Aerospace Science and Technology 107, 106339, 2020 | 95 | 2020 |
| Efficient global optimization of constrained mixed variable problems J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin Journal of Global Optimization 73, 583-613, 2019 | 73 | 2019 |
| Bayesian optimization using deep Gaussian processes with applications to aerospace system design A Hebbal, L Brevault, M Balesdent, EG Talbi, N Melab Optimization and Engineering 22, 321-361, 2021 | 62 | 2021 |
| Multi-objective multidisciplinary design optimization approach for partially reusable launch vehicle design L Brevault, M Balesdent, A Hebbal Journal of Spacecraft and Rockets 57 (2), 373-390, 2020 | 50 | 2020 |
| Multi-fidelity modeling with different input domain definitions using deep Gaussian processes A Hebbal, L Brevault, M Balesdent, EG Talbi, N Melab Structural and Multidisciplinary Optimization 63, 2267-2288, 2021 | 46 | 2021 |
| Bayesian optimization of variable-size design space problems J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin Optimization and Engineering 22, 387-447, 2021 | 44 | 2021 |
| Rare event probability estimation in the presence of epistemic uncertainty on input probability distribution parameters M Balesdent, J Morio, L Brevault Methodology and Computing in Applied Probability 18, 197-216, 2016 | 41 | 2016 |
| Reliability analysis in the presence of aleatory and epistemic uncertainties, application to the prediction of a launch vehicle fallout zone L Brevault, S Lacaze, M Balesdent, S Missoum Journal of Mechanical Design 138 (11), 111401, 2016 | 39 | 2016 |
| Overview and comparison of gaussian process-based surrogate models for mixed continuous and discrete variables: Application on aerospace design problems J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin High-Performance Simulation-Based Optimization, 189-224, 2020 | 35 | 2020 |
| Probability of failure sensitivity with respect to decision variables S Lacaze, L Brevault, S Missoum, M Balesdent Structural and Multidisciplinary Optimization 52, 375-381, 2015 | 35 | 2015 |
| Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty G Sarazin, J Morio, A Lagnoux, M Balesdent, L Brevault Reliability Engineering & System Safety 215, 107733, 2021 | 33 | 2021 |
| Decoupled multidisciplinary design optimization formulation for interdisciplinary coupling satisfaction under uncertainty L Brevault, M Balesdent, N Bérend, R Le Riche AIAA Journal 54 (1), 186-205, 2016 | 33 | 2016 |
| Aerospace system analysis and optimization in uncertainty L Brevault, M Balesdent, J Morio Springer International Publishing, 2020 | 32 | 2020 |
| Comparison of different global sensitivity analysis methods for aerospace vehicle optimal design L Brevault, M Balesdent, N Bérend, R Le Riche 10th World Congress on Structural and Multidisciplinary Optimization, WCSMO …, 2013 | 32 | 2013 |
| Bayesian optimization using deep Gaussian processes A Hebbal, L Brevault, M Balesdent, EG Talbi, N Melab arXiv preprint arXiv:1905.03350, 2019 | 29 | 2019 |
| Efficient global optimization using deep gaussian processes A Hebbal, L Brevault, M Balesdent, EG Taibi, N Melab 2018 IEEE Congress on evolutionary computation (CEC), 1-8, 2018 | 28 | 2018 |
| Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies L Brevault, M Balesdent, S Defoort Concurrent Engineering 26 (1), 93-103, 2018 | 27 | 2018 |
| How to deal with mixed-variable optimization problems: An overview of algorithms and formulations J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin Advances in Structural and Multidisciplinary Optimization: Proceedings of …, 2018 | 24 | 2018 |
| Multi-objective optimization using deep Gaussian processes: application to aerospace vehicle design A Hebbal, L Brevault, M Balesdent, EG Talbi, N Melab AIAA Scitech 2019 Forum, 1973, 2019 | 23 | 2019 |
| Deep Gaussian process for multi-objective Bayesian optimization A Hebbal, M Balesdent, L Brevault, N Melab, EG Talbi Optimization and Engineering 24 (3), 1809-1848, 2023 | 21 | 2023 |
Mathieu BalesdentSenior research scientist (Directeur de Recherche), HDR, ONERABestätigte E-Mail-Adresse bei onera.fr