Pré-publication, Document de travail
AO
Showing results 1 to 12 of 591 in total
AO : 1 to 12 of 591 in total
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Poster de conférence
Arnaud Quelin, Flora Jay, Frederic Austerlitz. Inferring demographic history of diverging populations from human genomic data. SMBE, Jul 2023, Ferrara, Italy. ⟨hal-05570993⟩
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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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Communication dans un congrès
Jean Cury, Théophile Sanchez, Erik Madison Bray, Jazeps Medina-Tretmanis, María Ávila-Arcos, et al.. Inferring effective population sizes of bacterial populations while accounting for unknown recombination and selection: a deep learning approach. ECML PKDD 2022 - Machine Learning for Microbial Genomics workshop, Sep 2022, Grenoble, France. ⟨hal-05554282⟩
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Article dans une revue
Sébastien Velut, Jordy Thielen, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais. Neurophysiological screening of individual variability for robust decoding in c-VEP-based BCI. Imaging Neuroscience, 2026, ⟨10.1162/IMAG.a.1172⟩. ⟨hal-05546237⟩
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Poster de conférence
Cyriaque Rousselot, Olivier Allais, Philippe Caillou, Julia Mink, Florian Yger. Pesticide Aerial Concentration : Estimations Toward Population Health Impact Assessment. Engineering for Health Annual Forum 2025, Nov 2025, Palaiseau (Ecole Polytechnique), France. ⟨hal-05447129⟩
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Communication dans un congrès
Enrico Marchesini, Eva Boguslawski, Alessandro Leite, Christopher Amato, Matthieu Dussartre, et al.. MARL2GRID-TR: A multi-agent RL benchmark in power grid operations. ICLR 2026 - The Fourteenth International Conference on Learning Representations, Apr 2026, Rio de Janeiro, Brazil. ⟨hal-05532479⟩
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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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Article dans une revue, Article dans une revue
Mathurin Videau, Alessandro Leite, Marc Schoenauer, Olivier Teytaud. Evolutionary Pre-Prompt Optimization for Mathematical Reasoning. ACM Transactions on Evolutionary Learning and Optimization, In press, ⟨10.48550/arXiv.2412.04291⟩. ⟨hal-05492969⟩
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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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Pré-publication, Document de travail
Armand Lacombe, Michèle Sébag. Asymmetrical Latent Representation for Individual Treatment Effect Modeling. 2026. ⟨hal-05490226⟩