Pré-publication, Document de travail
Apprentissage
Affichage des résultats 1 à 12 sur 107 au total
Apprentissage : 1 à 12 sur 107 au total
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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. ICLR 2025 - International Conference on Learning Representations, 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. Does Efficiency Lead to Green Machine Learning Model Training? Analyzing Historical Trends in Impacts from Hardware, Algorithmic and Carbon Optimizations. 2025. ⟨hal-04839926v4⟩
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Pré-publication, Document de travail
Antoine Szatkownik, Léo Planche, Maïwen Demeulle, Titouan Chambe, María Ávila-Arcos, et al.. Diffusion-based artificial genomes and their usefulness for local ancestry inference. 2024. ⟨hal-04801121⟩
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Ouvrages
Jean-Daniel Fekete, Danyel Fisher, Michael Sedlmair. Progressive Data Analysis. Eurographics, pp.231, 2024, 978-3-03868-270-7. ⟨10.2312/pda.20242707⟩. ⟨hal-04776568⟩
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Communication dans un congrès
Kinda Khawam, Farah Yassine, Samer Lahoud, Yujie Tang, Dominique Quadri, et al.. Federated Non-Stochastic Multi-Armed Bandit for Channel Sensing in Cognitive Radio Systems. IEEE Wireless Communications and Networking Conference, Mar 2025, Milan, Italy. ⟨hal-04745653⟩
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Thèse
Guillaume Bied. Designing Recommender Systems for the Labor Market. Machine Learning [cs.LG]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG035⟩. ⟨tel-04740932⟩