| Asynchronous evolutionary multi-objective algorithms with heterogeneous evaluation costs M Yagoubi, L Thobois, M Schoenauer 2011 IEEE Congress of Evolutionary Computation (CEC), 21-28, 2011 | 27 | 2011 |
| Multi-resolution graph neural networks for pde approximation W Liu, M Yagoubi, M Schoenauer Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 19 | 2021 |
| Asynchronous master/slave MOEAs and heterogeneous evaluation costs M Yagoubi, M Schoenauer Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 18 | 2012 |
| Optimisation évolutionnaire multi-objectif parallèle: application à la combustion Diesel M Yagoubi Université Paris Sud-Paris XI, 2012 | 11 | 2012 |
| Simulation architecture definition for complex systems design: A tooled methodology JP Brunet, H Sohier, M Yagoubi, M Bisquay, P Lamothe, P Menegazzi Complex Systems Design & Management: Proceedings of the Tenth International …, 2020 | 10 | 2020 |
| CD-ROM: Complemented Deep-Reduced order model E Menier, MA Bucci, M Yagoubi, L Mathelin, M Schoenauer Computer Methods in Applied Mechanics and Engineering 410, 115985, 2023 | 8 | 2023 |
| A tooled methodology for the system architect’s needs in simulation with autonomous driving application H Sohier, S Guermazi, M Yagoubi, P Lamothe, A Maddaloni, P Menegazzi, ... 2019 IEEE International Systems Conference (SysCon), 1-8, 2019 | 8 | 2019 |
| An asynchronous steady-state NSGA-II algorithm for multi-objective optimization of Diesel combustion M Yagoubi, L Thobois, M Schoenauer Proceedings of the 2nd International Conference on Engineering Optimization, 77, 2010 | 8 | 2010 |
| LIPS-Learning Industrial Physical Simulation benchmark suite M LEYLI ABADI, A Marot, J Picault, D Danan, M Yagoubi, B Donnot, ... Advances in Neural Information Processing Systems 35, 28095-28109, 2022 | 7 | 2022 |
| Improving simulation specification with MBSE for better simulation validation and reuse H Sohier, P Lamothe, S Guermazi, M Yagoubi, P Menegazzi, A Maddaloni Systems Engineering 24 (6), 425-438, 2021 | 5 | 2021 |
| Model of intention for the model specification verification during the simulation architecture design process R Barbedienne, O Penas, M Yagoubi, E Duceau, E Landel 2018 IEEE International Systems Engineering Symposium (ISSE), 1-8, 2018 | 2 | 2018 |
| Interpretable Learning of Effective Dynamics for multiscale systems E Menier, S Kaltenbach, M Yagoubi, M Schoenauer, P Koumoutsakos arXiv preprint arXiv:2309.05812, 2023 | 1 | 2023 |
| Surrogate-assisted nsga-ii algorithm for expensive multiobjective optimization M Yagoubi, H Bederina Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 1 | 2023 |
| Meta-Learning for Airflow Simulations with Graph Neural Networks W Liu, M Yagoubi, M Schoenauer arXiv preprint arXiv:2306.10624, 2023 | 1 | 2023 |
| Continuous Methods: Adaptively intrusive reduced order model closure E Menier, MA Bucci, M Yagoubi, L Mathelin, T Dairay, R Meunier, ... arXiv preprint arXiv:2211.16999, 2022 | 1 | 2022 |
| Multi-Fidelity Transfer Learning for accurate data-based PDE approximation W Liu, M Yagoubi, D Danan, M Schoenauer NeurIPS 2022-Workshop on Machine Learning and the Physical Sciences, 2022 | 1 | 2022 |
| A dynamic weighted loss function for enhancing the performance of neural networks C Mang, A Tahmasebimoradi, D Danan, M Yagoubi 16th World Congress on Computational Mechanics (WCCM), 2024 | | 2024 |
| ML4PhySim: Machine Learning for Physical Simulations Challenge (The airfoil design) M Yagoubi, M Leyli-Abadi, D Danan, JP Brunet, JA Mazari, F Bonnet, ... arXiv preprint arXiv:2403.01623, 2024 | | 2024 |
| Interpretable reduced order modeling using neural autoencoders E Menier, S Kaltenbach, M Yagoubi, M Schoenauer, K Petros MORTech 2023–6th International Workshop on Model Reduction Techniques, 2023 | | 2023 |
| Application of Zonal Reduced-Order-Modelling to tire rolling simulation R Meunier, D Danan, M Yagoubi, T Dairay 6th International Workshop on Model Reduction Techniques (MORTech), 2023 | | 2023 |
