Paola Tubaro. Décrypter la société des plateformes : Organisations, marchés et réseaux dans l'économie numérique. Sociology. Institut d'Etudes Politiques de Paris, 2019. ⟨tel-04547405⟩
Sibo Cheng, César Quilodrán-Casas, Said Ouala, Alban Farchi, Che Liu, et al.. Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. IEEE/CAA Journal of Automatica Sinica, In press, 10 (6), pp.1361-1387. ⟨10.1109/JAS.2023.123537⟩. ⟨hal-04039094⟩
Rahul Sundar, Didier Lucor, Sunetra Sarkar. Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients. 2024. ⟨hal-04481710⟩
Ludovic Coelho, Nicolò Fabbiane, Christian Fagiano, Cédric Julien, Didier Lucor. Gradient reliability-based design optimization of a composite plate through multi-scale design spaces. International Forum on Aeroelasticity and Structural Dynamics IFASD 2022, Jun 2022, Madrid, Spain. pp.2563-2579. ⟨hal-04463058⟩
Benoît Choffin, Naonori Ueda. Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms. 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2018, Aalborg, Denmark. ⟨10.1109/MLSP.2018.8517011⟩. ⟨hal-02265260⟩
Rahul Sundar, Dipanjan Majumdar, Didier Lucor, Sunetra Sarkar. Physics-informed neural networks modelling for systems with moving immersed boundaries: Application to an unsteady flow past a plunging foil. Journal of Fluids and Structures, 2024, 125, pp.104066. ⟨10.1016/j.jfluidstructs.2024.104066⟩. ⟨hal-04460091⟩
Alessandro Longhi, Rodrigo Méndez Rojano, Amélie Fau, Didier Lucor. Emulating parametrized blood clot simulations through model order reduction combined with deep learning techniques. CFC2023 Cannes, Apr 2023, Cannes, France. ⟨hal-04460035⟩
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, et al.. Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML 2023 - Fortieth International Conference on Machine Learning, Jul 2023, Honololu, United States. pp.1-29. ⟨hal-04250921⟩