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58 résultats
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triés par
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Curriculum learning for data-driven modeling of dynamical systemsDynamics Days Europe 2023, Sep 2023, Napoli, Italy
Communication dans un congrès
hal-04407784v1
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New approaches to learn low-rank models of dynamical systems from streaming dataInternational Conference on Uncertainty Quantification in Computational Science and Engineering, Jun 2019, Heraklion (Crete Island), Greece
Communication dans un congrès
hal-04405368v1
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CD-ROM -- Complementary Deep - Reduced Order ModelIUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark
Communication dans un congrès
hal-04405482v1
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CD-ROM: Complemented Deep-Reduced Order ModelMORTech 2023 - 6th International Workshop on Model Order Reduction, Nov 2023, Saclay, France
Communication dans un congrès
hal-04406567v1
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Stochastic data assimilation of the random shallow water model loads with uncertain experimental measurementsComputational Mechanics, 2011, 47 (6), pp.603-616
Article dans une revue
hal-00750190v1
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Optimal control for shear flows using Reinforcement LearningIUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark
Communication dans un congrès
hal-03854596v1
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Data-driven estimation of a turbulent flow from wall sensorsUS-Japan Workshop on bridging Fluid Mechanics and Data Science, Mar 2018, Tokyo (Japan), Japan
Communication dans un congrès
hal-04406584v1
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Global optimization with Gaussian process and application to drag reduction with vortex generatorsWorld Congress on Global Optimization in Engineering & Science, Jan 2011, Chania, Greece
Communication dans un congrès
hal-01629397v1
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Control of chaotic systems by deep reinforcement learningProceedings of the Royal Society of London. Series A, Mathematical and physical sciences, In press, 475 (2231), pp.1-20. ⟨10.1098/rspa.2019.0351⟩
Article dans une revue
hal-02406677v1
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A statistical learning strategy for closed-loop control of fluid flows2016
Pré-publication, Document de travail
hal-01271248v1
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Leveraging the structure of dynamical systems for data-driven modeling2021
Pré-publication, Document de travail
hal-03498482v1
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Latent Dirichlet Allocation: a new machine learning tool to evaluate CMIP6 climate models atmospheric circulationEuropean Meteorological Society annual meeting, Sep 2022, Bonn, Germany
Communication dans un congrès
hal-04406521v1
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Closed-loop control of complex systems using deep Reinforcement LearningEuromech colloquium on Machine learning methods for turbulent separated flows, Jun 2021, Paris, France
Communication dans un congrès
hal-03451355v1
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Closed-loop optimal control for shear flows using reinforcement learning73rd Annual APS/DFD Meeting, Nov 2020, Chicago, United States
Communication dans un congrès
hal-03101416v1
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Global optimization of vortex generator parameters for drag reduction of ground vehiclesCFD & OPTIMIZATION, An ECCOMAS Thematic Conference, Jan 2011, Antalaya, Turkey
Communication dans un congrès
hal-01629396v1
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Modélisation par termes source de générateurs de vortex pour le contrôle d'écoulement : validations expérimentales et optimisationsCongrès Français de Mécanique, Jan 2011, Besançon, France
Communication dans un congrès
hal-01629399v1
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When deep learning meets ergodic theory73rd Annual APS/DFD Meeting, Nov 2020, Chicago / Virtual, United States
Communication dans un congrès
hal-03101431v1
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Apprentissage d’un modèle dynamique chaotique par un LSTMConférence sur l’Apprentissage automatique (CAp), Jul 2019, Toulouse, France
Communication dans un congrès
hal-02412444v1
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Thermal large eddy simulations for high temperature solar receivers17th International Heat Transfer Conference, Aug 2023, Cape Town, South Africa
Poster de conférence
hal-04240801v1
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Unsupervised identification of motifs in turbulent channel flow using Latent Dirichlet AllocationEuromech colloquium on Machine learning methods for turbulent separated flows, Jun 2021, Paris, France
Communication dans un congrès
hal-03451341v1
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Spatio-temporal proper orthogonal decomposition of turbulent channel flowJournal of Fluid Mechanics, 2019, 864, pp.614-639. ⟨10.1017/jfm.2019.48⟩
Article dans une revue
hal-02170063v1
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Exploration strategies for control of chaotic dynamical systems using reinforcement learningEuropean Drag Reduction and Flow Control Meeting - EDRFCM 2022, Sep 2022, Paris, France
Communication dans un congrès
hal-03854602v1
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Shallow neural networks for fluid flow reconstruction with limited sensorsProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020, 476 (2238), pp.20200097. ⟨10.1098/rspa.2020.0097⟩
Article dans une revue
hal-03059296v1
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Data-Driven Prediction of Aircraft Vibration Environment During Unsteady Flight Dynamics1st Annual Aerospace Structures, Structural Dynamics, and Materials Conference (SSDM), ASME, Jun 2023, San Diego (California), United States
Communication dans un congrès
hal-04185012v1
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A principled learning strategy for chaotic dynamical systemsSIAM Mathematics of Data Science, Sep 2022, San diego, United States
Communication dans un congrès
hal-04406534v1
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Optimal control for shear flows using Reinforcement Learning14th European Fluid Mechanics Conference, Sep 2022, Athenes, Greece
Communication dans un congrès
hal-04407794v1
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Toward the prediction of chaotic systems for the Reinforcement Learning of turbulent flowsInternational Workshop on Dynamical Methods in Data-based Exploration of Complex Systems, Max Planck Institute, Oct 2019, Dresden, Germany
Communication dans un congrès
hal-04405377v1
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Curriculum learning for data-driven modeling of dynamical systemsEuropean Physical Journal E: Soft matter and biological physics, 2023, 46 (3), pp.12. ⟨10.1140/epje/s10189-023-00269-8⟩
Article dans une revue
hal-04291002v1
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Vortex-induced vibrations and waves under shear flow with a wake oscillator modelEuropean Journal of Mechanics - B/Fluids, 2005, 24 (4), pp.478-490. ⟨10.1016/j.euromechflu.2004.12.005⟩
Article dans une revue
istex
hal-01024949v1
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Continuous Methods : Hamiltonian Domain TranslationWorkshop « Continuous time methods for machine learning », ICML, Jul 2022, Baltimore, United States
Communication dans un congrès
hal-03716629v1
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