Article dans une revue
Apprentissage
Affichage des résultats 1 à 12 sur 111 au total
Apprentissage : 1 à 12 sur 111 au total
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Pré-publication, Document de travail
Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane, Nicolas Béreux, Léo Planche, et al.. PRIVET: Privacy Metric Based On Extreme Value Theory. 2025. ⟨hal-05326013⟩
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Communication dans un congrès
Tristan Bilot, Baoxiang Jiang, Zefeng Li, Nour El Madhoun, Khaldoun Al Agha, et al.. Sometimes Simpler is Better: A Comprehensive Analysis of State-of-the-Art Provenance-Based Intrusion Detection Systems. USENIX Security 2025, Aug 2025, Seattle, WA, United States. ⟨hal-05245280⟩
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Communication dans un congrès
Baoxiang Jiang, Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui, et al.. ORTHRUS: Achieving High Quality of Attribution in Provenance-based Intrusion Detection Systems. USENIX Security 2025, Aug 2025, Seattle, WA, United States. ⟨hal-05245139⟩
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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⟩
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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⟩
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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. 2025. ⟨hal-04594647v2⟩
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Thèse
Hui-Syuan Yeh. Prompt-based Relation Extraction for Pharmacovigilance. Computation and Language [cs.CL]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG097⟩. ⟨tel-04968043⟩
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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⟩
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Communication dans un congrès
Nilo Schwencke, Cyril Furtlehner. ANAGRAM: a natural gradient relative to adapted model for efficient PINNS learning. 13th International Conference on Learning Representations - ICLR 2025, Apr 2025, Singapour, Singapore. ⟨hal-04918272⟩
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Communication dans un congrès
Nicolas J-B. Brunel, Thibault Cordier, Vincent Blot, Louis Lacombe, Thomas Morzadec, et al.. Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library. The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023), Sep 2023, Limassol, Cyprus. ⟨hal-04895257⟩
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Pré-publication, Document de travail
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol. The Environmental Impacts of Machine Learning Training Keep Rising Evidencing Rebound Effect. 2025. ⟨hal-04839926v5⟩