Jean Feydy
Chargé de recherche (CRCN) à INRIA Paris
14
Documents
Affiliations actuelles
- 454310
- 1067737
Identifiants chercheurs
jean-feydy- Arxiv : feydy_j_1
- Google Scholar : https://scholar.google.fr/citations?user=hmn_ITgAAAAJ
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0000-0001-6049-563X
Site web
- https://www.jeanfeydy.com/
Présentation
My main focus is geometric data analysis, with applications to medical sciences. I have developed fast numerical schemes for kernel methods, optimal transport theory and computational anatomy.
Domaines de recherche
Intelligence artificielle [cs.AI]
Imagerie médicale
Statistiques [math.ST]
Santé publique et épidémiologie
Publications
Artificial intelligence in diagnostic and interventional radiology: Where are we now?Diagnostic and Interventional Imaging, 2023, 104 (1), pp.1-5. ⟨10.1016/j.diii.2022.11.004⟩
Article dans une revue
hal-03949288v1
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Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applicationsDiagnostic and Interventional Imaging, 2022, ⟨10.1016/j.diii.2022.10.004⟩
Article dans une revue
hal-03909429v1
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Kernel Operations on the GPU, with Autodiff,without Memory OverflowsJournal of Machine Learning Research, 2021, 22 (74), pp.1-6
Article dans une revue
hal-02517462v2
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DiffMaSIF: Surface-based Protein-Protein Docking with Diffusion ModelsMachine Learning in Structural Biology workshop at NeurIPS 2023, Dec 2023, New Orleans, United States
Communication dans un congrès
hal-04360638v1
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Physics-informed deep neural network for rigid-body protein dockingMLDD 2022 - Machine Learning for Drug Discovery Workshop of ICLR 2022, Apr 2022, Virtual conference, France
Communication dans un congrès
hal-03949198v1
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Accurate Point Cloud Registration with Robust Optimal TransportNeurIPS 2021, Dec 2021, Virtual conference, France
Communication dans un congrès
hal-03949118v1
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Fast geometric learning with symbolic matricesThirty-fourth Conference on Neural Information Processing Systems, Dec 2020, Virtual-only, Canada
Communication dans un congrès
hal-03232595v1
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Fast and Scalable Optimal Transport for Brain TractogramsMICCAI 2019, Oct 2019, Shenzhen, China. ⟨10.1007/978-3-030-32248-9_71⟩
Communication dans un congrès
hal-02264177v1
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KeOps: Calcul rapide sur GPU dans les espaces à noyauxJournées de Statistique de la SFdS, May 2018, Palaiseau, France
Communication dans un congrès
hal-03973487v1
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Optimal Transport for Diffeomorphic Registration MICCAI 2017, Sep 2017, Quebec, Canada
Communication dans un congrès
hal-01540455v1
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Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life DataChallenges of Trustable AI and Added-Value on Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220401⟩
Chapitre d'ouvrage
hal-03911970v1
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Interpolating between Optimal Transport and MMD using Sinkhorn Divergences2018
Pré-publication, Document de travail
hal-01898858v1
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Global divergences between measures: from Hausdorff distance to Optimal Transport2018
Pré-publication, Document de travail
hal-01827184v2
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Analyse de données géométriques, au delà des convolutionsMathématiques générales [math.GM]. Université Paris-Saclay, 2020. Français. ⟨NNT : 2020UPASN017⟩
Thèse
tel-02945979v1
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