Communication dans un congrès
AO
Affichage des résultats 1 à 12 sur 498 au total
AO : 1 à 12 sur 498 au total
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Communication dans un congrès
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat. Time and State Dependent Neural Delay Differential Equations. ML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain. ⟨hal-04794450⟩
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Pré-publication, Document de travail
Dilek Koptekin, Ayça Aydoğan, Cansu Karamurat, N. Ezgi Altınışık, Kıvılcım Başak Vural, et al.. Out-of-Anatolia: cultural and genetic interactions during the Neolithic expansion in the Aegean. 2024. ⟨hal-04801125⟩
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Pré-publication, Document de travail
Antoine Szatkownik, Léo Planche, Maïwen Demeulle, Titouan Chambe, María Ávila-Arcos, et al.. Diffusion-based artificial genomes and their usefulness for local ancestry inference. 2024. ⟨hal-04801121⟩
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Pré-publication, Document de travail
Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. Latent generative modeling of long genetic sequences with GANs. 2024. ⟨hal-04801130⟩
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Pré-publication, Document de travail
Burak Yelmen, Maris Alver, Estonian Biobank Research Team, Flora Jay, Lili Milani. Interpreting artificial neural networks to detect genome-wide association signals for complex traits. 2024. ⟨hal-04801114⟩
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Poster de conférence
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat. Time and State Dependent Neural Delay Differential Equations. ML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain. ⟨hal-04794800⟩
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Pré-publication, Document de travail
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows. 2024. ⟨hal-04794444⟩
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Pré-publication, Document de travail
Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti. Analysis and synthesis denoisers for forward-backward plug-and-play algorithms. 2024. ⟨hal-04786802v3⟩
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Pré-publication, Document de travail
Pierre Barbault, Matthieu Kowalski, Charles Soussen. Bernoulli and Gauss Take a Look at the MAP. 2024. ⟨hal-04782425⟩
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Pré-publication, Document de travail
Benoît Malézieux, Florent Michel, Thomas Moreau, Matthieu Kowalski. Where prior learning can and can't work in unsupervised inverse problems. 2024. ⟨hal-04782335⟩
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Thèse
Armand Lacombe. Changes of representation for counter-factual inference. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG009⟩. ⟨tel-04759706⟩