Article dans une revue
AO
Affichage des résultats 1 à 12 sur 561 au total
AO : 1 à 12 sur 561 au total
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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
Francesco Pezzicoli, Valentina Ros, François P. Landes, Marco Baity-Jesi. Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model. AISTATS 2025 - 28th International Conference on Artifi- cial Intelligence and Statistics, May 2025, Phuket, Thailand. ⟨10.48550/arXiv.2501.11638⟩. ⟨hal-05332794⟩
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Pré-publication, Document de travail
Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour. StaQ it! Growing neural networks for Policy Mirror Descent. 2025. ⟨hal-05118839⟩
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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
Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier. A probabilistic view on Riemannian machine learning models for SPD matrices. GSI 2025 - 7th International Conference on Geometric Science of Information, Oct 2025, Saint Malo, France. pp.142-151, ⟨10.1007/978-3-032-03924-8_15⟩. ⟨hal-05343695⟩
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Article dans une revue
Aurore Semeux-Bernier, Francesca Bonini, Samuel Medina Villalon, Maria Fratello, Matthieu Kowalski, et al.. Classification of magnetoencephalographic independent components in epilepsy by machine learning. Clinical Neurophysiology, 2025, 180, pp.2111377. ⟨10.1016/j.clinph.2025.2111377⟩. ⟨hal-05324467⟩
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Pré-publication, Document de travail
Nilo Schwencke, Cyriaque Rousselot, Alena Shilova, Cyril Furtlehner. AMStraMGRAM: Adaptive Multi-cutoff Strategy Modification for ANaGRAM. 2025. ⟨hal-05302122⟩
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Communication dans un congrès
Jean-Baptiste Malagnoux, Matthieu Kowalski. Convolutive Sparse Decomposition in Inverse Problems: A Sensor Space Approach. SampTA 2025 - International Conference on Sampling Theory and Applications, Jul 2025, Vienne, Austria. ⟨10.1109/SampTA64769.2025.11133530⟩. ⟨hal-05288460⟩
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Communication dans un congrès
Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas J-B. Brunel. MAPIE: an open-source library for distribution-free uncertainty quantification. ICML 2022 - Workshop Distribution Free and Uncertainty Quantification ICML, Jul 2022, Baltimore / Hybrid, United States. ⟨hal-05232300⟩