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Conference

Physics-Informed Machine Learning for Modeling CO2 Capture from Scarce Data

Subjects: Surrogate model; Scarce data; CO2 captureAthènes; Greece

  • Source: 37th IEEE International Conference on Tools with Artificial Intelligencehttps://hal.science/hal-0531373037th IEEE International Conference on Tools with Artificial Intelligence, Institute

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Conference

Physics-informed Machine Learning for Better Understanding Laser-Matter Interaction

Subjects: Maxwell's equations; Machine learning; Knowledge discoveryHerndon; VA; United States

  • Source: IEEE ; The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2024) ; https://hal.science/hal-04717837 ; The 36th IEEE International Conference on Tools with Artificial

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Conference

Machine Learning with partially labeled Data for Indoor Outdoor Detection

Subjects: 3GPP radio measurement; Machine Learning; real user activityLas Vegas; United States

  • Source: CCNC 2019 - 16th IEEE Consumer Communications & Networking Conference ; https://hal.science/hal-02011454 ; CCNC 2019 - 16th IEEE Consumer Communications & Networking Conference, Jan 2019, Las Vegas,

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Conference

PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures

Subjects: Statistical machine learning; Risk measures; Generalization boundsTanger; Morocco

  • Source: Proceedings of the Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS 2026) ; AISTATS 2026 - Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics ;

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Dissertation/ Thesis

Complexity Methods in Physics-Guided Machine Learning ; Méthodes de Complexité dans l'Apprentissage Automatique Guidé par la Physique

Subjects: Complexity; Physics-guided Machine Learning; Machine Learning

  • Source: https://theses.hal.science/tel-04515418 ; Machine Learning [cs.LG]. Université Jean Monnet - Saint-Etienne, 2023. English. ⟨NNT :

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