Pré-publication, Document de travail
Machine Learning
Showing results 1 to 12 of 206 in total
Machine Learning : 1 to 12 of 206 in 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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Pré-publication, Document de travail
Pierre Wolinski, Guillaume Charpiat, Yann Ollivier. Asymmetrical Scaling Layers for Stable Network Pruning. 2020. ⟨hal-05524815⟩
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Thèse
Yeabsira Ashengo. Intelligent Task Offloading and Resource Allocation with Multi-access Edge Computing Servers using 5G for Tactile Internet. Mobile Computing. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG086⟩. ⟨tel-05525673⟩
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Pré-publication, Document de travail
Lucas Ondel Yang, Tina Raissi, Martin Kocour, Pablo Riera, Caio Corro. Fast and General Automatic Differentiation for Finite-State Methods. 2026. ⟨hal-05500843⟩
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Communication dans un congrès
Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy. An Introduction to Deep Learning. European Symposium on Artificial Neural Networks (ESANN), Apr 2011, Bruges, Belgium. ⟨hal-01352061⟩
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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⟩