Pré-publication, Document de travail
Machine Learning
Showing results 1 to 12 of 202 in total
Machine Learning : 1 to 12 of 202 in total
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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⟩
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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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Communication dans un congrès
Onofrio Semeraro, Michele Alessandro Bucci, Lionel Mathelin, Luigi Marra, Amine Saibi. From robotics to fluid dynamics: opportunities and pitfalls of Reinforcement Learning in flow control. iTi Workshop on Structure and control of wall-bounded turbulent flows, Jul 2025, Bertinoro, Italy. ⟨hal-05379587⟩
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Article dans une revue
Amine Saibi, Lionel Mathelin, Onofrio Semeraro. A Multistep Reinforcement Learning Control of Shear Flows in Minimal Input–Output Plants Under Large Time-delays. Flow, Turbulence and Combustion, 2025, 115 (3), pp.1379-1402. ⟨10.1007/s10494-025-00697-w⟩. ⟨hal-05379450⟩
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Article dans une revue
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Mean flow data assimilation using physics-constrained graph neural networks. Data-Centric Engineering, 2025, 6, pp.e48. ⟨10.1017/dce.2025.10022⟩. ⟨hal-05379441⟩