Pré-publication, Document de travail
Machine Learning
Affichage des résultats 1 à 12 sur 86 au total
Machine Learning : 1 à 12 sur 86 au total
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Communication dans un congrès
Arnaud Quelin, Frederic Austerlitz, Flora Jay. Using supervised machine learning methods to infer demographic history from genomic data. Machine Learning for Evolutionary Genomics Data, May 2024, Heraklion, Greece. ⟨hal-05570974⟩
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Poster de conférence
Arnaud Quelin, Jazeps Medina Tretmanis, Emilia Huerta-Sanchez, Frederic Austerlitz, Flora Jay. Assessing the contribution of ancient genomic data to the inference of historical demographic parameters. JOBIM 2025 - Journées Ouvertes en Biologie, Informatique et Mathématiques, Jul 2025, Bordeaux, France. ⟨hal-05570966⟩
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Article dans une revue
Jiayi Cai, Pierre-Emmanuel Angeli, Jean-Marc Martinez, Guillaume Damblin, Didier Lucor. Revisiting tensor basis neural network for Reynolds stress modeling: Application to plane channel and square duct flows. Computers and Fluids, 2024, 275, pp.106246. ⟨10.1016/j.compfluid.2024.106246⟩. ⟨hal-04805677⟩
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Poster de conférence
Bruno Aristimunha, Raphael Yokoingawa De Camargo, Walter Hugo Lopez Pinaya, Florian Yger, Marie-Constance Corsi, et al.. CONCERTO: Coherence & Functional Connectivity Graph Network. Journée CORTICO 2023, May 2023, Paris, France. 2023. ⟨hal-04121445⟩
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Article dans une revue
Hugo Gabrielidis, Filippo Gatti, Stéphane Vialle. Physics-based super-resolved simulation of 3D elastic wave propagation adopting scalable diffusion transformer. Computer Physics Communications, 2026, 320, pp.109930. ⟨10.1016/j.cpc.2025.109930⟩. ⟨hal-05485963⟩
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Pré-publication, Document de travail
Panayiotis Panayiotou, Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Marc Schoenauer, et al.. CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning. 2026. ⟨hal-05455135⟩
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Thèse
Vincent Blot. Conformal predictions and risk control in machine learning models to improve performance and human decision-making. Computer Vision and Pattern Recognition [cs.CV]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG102⟩. ⟨tel-05448293⟩
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Article dans une revue
Rémi Bousquet, Caroline Nore, Didier Lucor. AutoEncoders latent space interpretability in the light of proper orthogonal decomposition: Machine learning of periodically forced fluid flows. Computer Physics Communications, 2025, 315, pp.109728. ⟨10.1016/j.cpc.2025.109728⟩. ⟨hal-05407939⟩
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Article dans une revue
Arnaud Quelin, Frédéric Austerlitz, Flora Jay. Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data. Heredity, 2025, 134 (7), pp.417-426. ⟨10.1038/s41437-025-00773-x⟩. ⟨hal-05335745⟩
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Communication dans un congrès
Solal Nathan, Guillaume Bied, Elia Pérennès, Philippe Caillou, Bruno Crépon, et al.. JoLA: Job Landscape Aware Job Recommendation. RecSys in HR 2025 - The 5th Workshop on Recommender Systems for Human Resources, in conjunction with the 19th ACM Conference on Recommender Systems, Toine Bogers; Mesut Kaya; Chris Johnson; Jens-Joris Decorte; Guillaume Bied, Sep 2025, Prague, Czech Republic. ⟨hal-05341058⟩
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Communication dans un congrès
Jad Yehya, Mansour Benbakoura, Cédric Allain, Benoît Malezieux, Matthieu Kowalski, et al.. RoseCDL: Robust and scalable convolutional dictionary learning for rare-event detection. Conference on Artificial Intelligence and Statistics (AISTATS), Society for Artificial Intelligence and Statistics, May 2026, Tanger, Morocco. ⟨10.48550/arXiv.2509.07523⟩. ⟨hal-05250429⟩