AO

Showing results 1 to 12 of 526 in total

AO : 1 to 12 of 526 in total

  • Article dans une revue

    Gianluca Fasano, Cristina Marras, Emilio Sanfilippo, Monica Brinzei, Mathieu Husson, et al.. Unlocking the Potential of DH+AI: Opportunities, Challenges, and Recommendations. La Lettre de l'InSHS, 2025, 4 (92), pp.48-50. ⟨hal-05052377⟩

    AO

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  • Pré-publication, Document de travail

    Guillaume Attuel, Matthieu Kowalski. Quantum pseudo-weirdness: Disentangling myth from reality.. 2025. ⟨hal-04970178v4⟩

    AO

    Year of publication

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  • Poster de conférence

    Cyriaque Rousselot, Olivier Allais, Philippe Caillou, Julia Mink, Florian Yger. Assessing the Impact of Pesticide Exposure on Population Health Using Large-Scale Data Integration and Modelling. E4H Annual Forum, Nov 2024, Palaiseau (Ecole Polytechnique), France. ⟨hal-04991195⟩

    AO

    Year of publication

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  • Pré-publication, Document de travail

    Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, et al.. PETRA: Parallel End-to-end Training with Reversible Architectures. 2024. ⟨hal-04594647v1⟩

    AO

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  • Thèse

    Maria Sayu Yamamoto. Addressing the Large Variability of EEG Data with Riemannian Geometry : Toward Designing Reliable Brain-Computer Interfaces. Machine Learning [cs.LG]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG098⟩. ⟨tel-04967163⟩

    AO, AO

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  • Communication dans un congrès

    Eva Boguslawski, Alessandro Leite, Matthieu Dussartre, Benjamin Donnot, Marc Schoenauer. Emulation of Zonal Controllers for the Power System Transport Problem. RJCIA - PFIA 2024 - 23èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, Jul 2024, La Rochelle, France. ⟨hal-04942704⟩

    AO

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  • Thèse

    Thibault Monsel. Deep Learning for Partially Observed Dynamical Systems. Discrete Mathematics [cs.DM]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG113⟩. ⟨tel-04952358⟩

    AO, AO, DATAFLOT, DATAFLOT

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  • Article dans une revue

    Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger. Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices. Transactions on Machine Learning Research Journal, 2025. ⟨hal-04942016v2⟩

    AO

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  • Pré-publication, Document de travail

    Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, et al.. ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). 2024. ⟨hal-04944072⟩

    AO

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  • Article dans une revue

    Dominique Laurent, Nicolas Spyratos. Consistent query answering in multi-relation databases. Information and Computation, 2025, 303, pp.105279. ⟨10.1016/j.ic.2025.105279⟩. ⟨hal-04938667⟩

    AO

    Year of publication

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  • Communication dans un congrès

    Sylvain Chevallier, Yann Thanwerdas. Stratified Riemannian geometry for frugal learning with brain signals. Geometric Science of Information, Franck Nielsen; Frédéric Barbaresco, Aug 2023, Saint-Malo, France. ⟨hal-04935637⟩

    AO

    Year of publication

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  • Thèse

    Apolline Mellot. Machine learning and domain adaptation for enhancing the measure of brain health with MEG and EEG signals. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG068⟩. ⟨tel-04906458⟩

    AO

    Year of publication

    Available in free access

    HAL publication