Machine Learning

Showing results 1 to 12 of 181 in total

Machine Learning : 1 to 12 of 181 in total

  • Article dans une revue, Article dans une revue

    Thi-Tuyet-Trang Chau, Anna E. Dudek, Hernando Ombao, Sylvain Chevallier. Impact of Surface Ocean CO2 Atlas (SOCAT) observing network extensions on the quantification of global air-sea CO2 fluxes. Science of the Total Environment, In press, 999, pp.180265. ⟨10.1016/j.scitotenv.2025.180265⟩. ⟨hal-05209651⟩

    AO, AO

    Year of publication

    Available in free access

    HAL publication

  • Thèse

    Nicolas Atienza. Towards Reliable ML : Leveraging Multi-Modal Representations, Information Bottleneck and Extreme Value Theory. Machine Learning [stat.ML]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG025⟩. ⟨tel-05140441⟩

    GALaC

    Year of publication

    Available in free access

    HAL publication

  • Pré-publication, Document de travail

    Niccolò Perrone, Fanny Lehmann, Hugo Gabrielidis, Stefania Fresca, Filippo Gatti. Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response. 2025. ⟨hal-05016980⟩

    ParSys

    Year of publication

    Available in free access

    HAL publication

  • Communication dans un congrès

    Djamel Mesbah, Nour El Madhoun, Khaldoun Al Agha, Hani Chalouati. Exploring NLP Techniques for Code Smell Detection: A Comparative Study. The 39th International Conference on Advanced Information Networking and Applications (AINA-2025), Apr 2025, Barcelone, Spain. ⟨hal-05014865⟩

    ROCS

    Year of publication

    Available in free access

    HAL publication

  • 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. 2025. ⟨hal-04594647v2⟩

    AO

    Year of publication

    Available in free access

    HAL publication

  • Thèse

    Hui-Syuan Yeh. Prompt-based Relation Extraction for Pharmacovigilance. Computation and Language [cs.CL]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG097⟩. ⟨tel-04968043⟩

    STL, STL

    Year of publication

    Available in free access

    HAL publication

  • 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

    Year of publication

    Available in free access

    HAL publication

  • Article dans une revue

    Rémi Uro, David Doukhan. Pendant le confinement, le temps de parole des femmes a baissé à la télévision et à la radio. La revue des médias, 2020. ⟨hal-04906221⟩

    STL, TLP

    Year of publication

    HAL publication

  • 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

  • Article dans une revue

    Giovanni Catania, Aurélien Decelle, Beatriz Seoane. The Copycat Perceptron: Smashing Barriers Through Collective Learning. Physical Review E , 2024, 109 (6), pp.065313. ⟨10.1103/PhysRevE.109.065313⟩. ⟨hal-04918895⟩

    AO

    Year of publication

    Available in free access

    HAL publication

  • Communication dans un congrès

    Nilo Schwencke, Cyril Furtlehner. ANAGRAM: a natural gradient relative to adapted model for efficient PINNS learning. ICLR 2025 - International Conference on Learning Representations, Apr 2025, Singapour, Singapore. ⟨hal-04918272⟩

    AO

    Year of publication

    Available in free access

    HAL publication

  • Communication dans un congrès

    Laetitia Biscarrat, David Doukhan, Cyril Grouin. De Loft Story aux Marseillais à Dubaï : 20 ans de télé-réalité, 20 ans de sexisme ? Apport des méthodes d’analyse automatique pour une approche comparative. Première journée d'études de l'Arcom, ARCOM, Nov 2022, Paris, France. ⟨hal-04905959⟩

    STL, STL

    Year of publication

    Available in free access

    HAL publication