Pré-publication, Document de travail
Machine Learning
Showing results 1 to 12 of 195 in total
Machine Learning : 1 to 12 of 195 in total
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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⟩
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Communication dans un congrès
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin. Learning Meets Differential Equations: From Theory to Applications Learning non-Markovian Dynamical Systems with Signature-based Encoders. ML-DE 2025 - 2nd Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications",, Oct 2025, Bologna, Italy. pp.1-25. ⟨hal-05379481⟩
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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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Article dans une revue
Mathurin Videau, Alessandro Leite, Marc Schoenauer, Olivier Teytaud. Mixture of Experts for Image Classification: What's the Sweet Spot?. Transactions on Machine Learning Research Journal, 2025. ⟨hal-05329451⟩
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Pré-publication, Document de travail
Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane, Nicolas Béreux, Léo Planche, et al.. PRIVET: Privacy Metric Based On Extreme Value Theory. 2025. ⟨hal-05326013⟩
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Communication dans un congrès
Tristan Bilot, Baoxiang Jiang, Zefeng Li, Nour El Madhoun, Khaldoun Al Agha, et al.. Sometimes Simpler is Better: A Comprehensive Analysis of State-of-the-Art Provenance-Based Intrusion Detection Systems. USENIX Security 2025, Aug 2025, Seattle, United States. ⟨hal-05245280⟩