Patrick Pamphile, Isabelle Bournaud, Céline Clavel. Identifier et comprendre les difficultés d'adaptation des primo entrantes à l'université : utilisation d'une méthode mixte quantitative-qualitative avec des méthodes statistiques d'apprentissage automatique. DIRES 2024 - Diversité, Réussites[s] dans l'Enseignement Supérieur, Apr 2024, Nantes (France), France. ⟨hal-04489836⟩
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⟩
Flora Jay, Simon Boitard, Frédéric Austerlitz. An ABC method for whole-genome sequence data: inferring paleolithic and neolithic human expansions. 2018. ⟨hal-01896856⟩
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⟩