DATAFLOT

Affichage des résultats 1 à 12 sur 273 au total

DATAFLOT : 1 à 12 sur 273 au total

  • 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⟩

    DATAFLOT

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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⟩

    DATAFLOT

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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⟩

    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⟩

    COMET, DATAFLOT

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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⟩

    DATAFLOT

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  • Communication dans un congrès

    Onofrio Semeraro, Michele A Bucci, Remy Hosseinkhan-Boucher, Sergio Chibbaro, Alexandre Allauzen, et al.. On the use of entropy-based metrics for data-driven modeling and reinforcement learning control. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, Londres, United Kingdom. ⟨hal-05379611⟩

    DATAFLOT

    Année de publication

  • Communication dans un congrès

    Onofrio Semeraro, Michele Alessandro Bucci, Lionel Mathelin, Luigi Marra, Amine Saibi. From robotics to fluid dynamics: opportunities and pitfalls of Reinforcement Learning in flow control. iTi Workshop on Structure and control of wall-bounded turbulent flows, Jul 2025, Bertinoro, Italy. ⟨hal-05379587⟩

    BioInfo, DATAFLOT

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  • Communication dans un congrès

    Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Mean flow data assimilation using physics-constrained Graph Neural Networks. Coherent structures and instabilities in transitional and turbulent wall-bounded flows, Euromech Colloquium 658, Sep 2025, Bari, Italy. ⟨hal-05379581⟩

    DATAFLOT

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  • Communication dans un congrès

    Andrea Palumbo, Onofrio Semeraro, Luigi de Luca. Transition to turbulence in planar synthetic jets: numerical simulations and coherent structures eduction. Coherent structures and instabilities in transitional and turbulent wall-bounded flows, Euromech Colloquium 658, Sep 2025, Bari, Italy. ⟨hal-05379576⟩

    DATAFLOT

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  • Communication dans un congrès

    Amine Saibi, Lionel Mathelin, Onofrio Semeraro. Actor-Critic methods for model-free control of spatially evolving flows. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom. ⟨hal-05379604⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès