Pré-publication, Document de travail
Statistiques
Affichage des résultats 1 à 12 sur 135 au total
Statistiques : 1 à 12 sur 135 au total
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Communication dans un congrès
Camille Dutrey, Sophie Rosset, Martine Adda-Decker, Chloé Clavel, I. Vasilescu. Disfluences dans la parole spontanée conversationnelle: détection automatique utilisant des indices lexicaux et acoustiques. Actes de la conférence conjointe JEP-TALN-RECITAL 2012, volume 2: TALN, pages 359–366, Jun 2014, Grenoble, France. ⟨hal-02412090⟩
Année de publication
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Pré-publication, Document de travail
Alper Kalle, Théo Rudkiewicz, Mohamed-Oumar Ouerfelli, Mohamed Tamaazousti. Distribution-aware tensor decomposition for compression of convolutional neural networks. 2026. ⟨cea-05569665⟩
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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
Louis Ollivier, Brian Charlesworth, Fanny Pouyet. Beyond recombination: Exploring the impact of meiotic frequency on genome-wide genetic diversity. PLoS Genetics, 2025, 21 (8), pp.e1011798. ⟨10.1371/journal.pgen.1011798⟩. ⟨hal-05405132⟩