Article dans une revue
DATAFLOT
Affichage des résultats 1 à 12 sur 275 au total
DATAFLOT : 1 à 12 sur 275 au total
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Article dans une revue
Hao Zhou, Zhongzheng Wang, Didier Lucor, Emilie Sauret. New Bayesian optimisation framework for robust multi-objective design: decoupling performance and uncertainty. Reliability Engineering and System Safety, 2026, pp.112359. ⟨10.1016/j.ress.2026.112359⟩. ⟨hal-05513238⟩
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Article dans une revue
Rahul Sundar, Didier Lucor, Sunetra Sarkar. Sequential learning based PINNs to overcome temporal domain complexities in unsteady flow past flapping wings. Journal of Fluids and Structures, 2025, 139, pp.104421. ⟨10.1016/j.jfluidstructs.2025.104421⟩. ⟨hal-05513344⟩
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Communication dans un congrès
Zatout Yanis, Onofrio Semeraro, Lionel Mathelin, Bataille Françoise, Adrien Toutant. Fast and accurate field reconstruction of Thermal-Large Eddy Simulation (T-LES) by Deep Learning. 31ème Congrès Français de Thermique, Institut de Thermique, Mécanique, Matériaux, May 2023, Reims, France. ⟨hal-05454994⟩
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Article dans une revue
Yanis Zatout, Adrien Toutant, Onofrio Semeraro, Lionel Mathelin, Françoise Bataille. A priori reconstruction of Thermal-Large Eddy Simulation (T-LES) by Deep Learning Reconstruction a priori de champs de Simulations des Grandes Echelles Thermiques par Apprentissage Profond. Entropie : thermodynamique – énergie – environnement – économie, 2023, 4 (3), ⟨10.21494/ISTE.OP.2023.1015⟩. ⟨hal-05454757⟩
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Poster de conférence
Yanis Zatout, Adrien Toutant, Onofrio Semeraro, Lionel Mathelin, Françoise Bataille. Weakly supervised learning for a priori reconstruction of Thermal Large Eddy Simulations using two-point correlations Modeling of the solar receiver Methods Context Context Modeling and methods Modeling and methods Results and conclusion Results and conclusion. Congrès Français de Thermique, Jun 2024, Strasbourg, France. ⟨hal-05454986⟩
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Thèse
Vincent Blot. Conformal predictions and risk control in machine learning models to improve performance and human decision-making. Computer Vision and Pattern Recognition [cs.CV]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG102⟩. ⟨tel-05448293⟩
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Caroline Nore
COMET
DATAFLOT
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Article dans une revue
Rémi Bousquet, Caroline Nore, Didier Lucor. AutoEncoders latent space interpretability in the light of proper orthogonal decomposition: Machine learning of periodically forced fluid flows. Computer Physics Communications, 2025, 315, pp.109728. ⟨10.1016/j.cpc.2025.109728⟩. ⟨hal-05407939⟩
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Pré-publication, Document de travail
Luigi Marra, Onofrio Semeraro, Lionel Mathelin, Andrea Meilán-Vila, Stefano Discetti. Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems. 2025. ⟨hal-05394151⟩