Article dans une revue
AO
Affichage des résultats 1 à 12 sur 553 au total
AO : 1 à 12 sur 553 au total
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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⟩
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Poster de conférence
Maël Lefeuvre, Michael D. Martin, Flora Jay, Marie-Claude Marsolier, Alexis Corrochano, et al.. GRUPS-rs: a high-performance ancient DNA genetic relatedness estimation software based on pedigree simulations. Bulletins et mémoires de la Société d’Anthropologie de Paris 35(S), Jan 2023, Paris, France. 35 (S), pp.30, 2023, ⟨10.4000/bmsap.11299⟩. ⟨hal-05242408⟩
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Poster de conférence
Maël Lefeuvre, Michael D. Martin, Flora Jay, Marie-Claude Marsolier, Alexis Corrochano, et al.. GRUPS-rs, a high-performance ancient DNA genetic relatedness estimation software relying on pedigree simulations. JOBIM 2023 - Journées Ouvertes en Biologie, Informatique et Mathématiques, Jun 2023, Multisite, France. ⟨hal-05242467⟩
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Communication dans un congrès
Nilo Schwencke, Cyriaque Rousselot, Alena Shilova, Cyril Furtlehner. AMSTRAMGRAM : Adaptive Multi-cutoff Strategy Modification for ANaGRAM. ENUMATH 2025 - MS31 – Geometric Optimization Methods for Scientific Machine Learning, Marius Zeinhofer; Johannes Müller, Sep 2025, Heidelberg, Germany. ⟨hal-05245453⟩
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Pré-publication, Document de travail
Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, Benedictus Kent Rachmat, Zhen Xu, et al.. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS’24 Experiment. 2025. ⟨hal-05230379⟩
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Pré-publication, Document de travail
Jad Yehya, Mansour Benbakoura, Cédric Allain, Benoît Malezieux, Matthieu Kowalski, et al.. RoseCDL: Robust and scalable convolutional dictionary learning for rare-event detection. 2025. ⟨hal-05250429⟩
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Communication dans un congrès
Johanne Cohen, Emmanuel Goutierre, Hayg Guler, Fatios Kapotos, Sida-Bastien Li, et al.. Modelling Dynamical Systems: Learning ODEs with No Internal ODE Resolution. 18th International Conference, RP 2024, Sep 2025, Vienne, Austria. pp.221-237, ⟨10.1007/978-3-031-72621-7_15⟩. ⟨hal-05240753⟩
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Chapitre d'ouvrage
François Cabestaing, Sylvain Chevallier. From signals to decisions in noninvasive neural technologies. Davide Valeriani; Theresa M. Vaughan. Neural Interfaces, Academic Press; Elsevier, pp.77-90, 2025, 978-0-443-24824-5. ⟨10.1016/C2023-0-51142-5⟩. ⟨hal-05266468⟩
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Thèse
Manon Verbockhaven. Spotting expressivity bottlenecks in neural networks and fixing them by optimal architecture growth. Neural and Evolutionary Computing [cs.NE]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG022⟩. ⟨tel-05232707⟩