المؤلفون: David A. Klindt, Aapo Hyvärinen, Axel Levy, Nina Miolane, Frédéric Poitevin

المصدر: Frontiers in Molecular Biosciences, Vol 11 (2024)

مصطلحات موضوعية: cryo-EM, machine learning, ICA, AI for science, disentanglement, physics-based models, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmolb.2024.1393564/full; https://doaj.org/toc/2296-889X

URL الوصول: https://doaj.org/article/19a2396eda624f80a89cae989873551e

المؤلفون: Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand, Khanh Dao Duc

المصدر: Frontiers in Bioinformatics, Vol 3 (2023)

مصطلحات موضوعية: orthogonal outliers, outlier detection, outlier correction, multidimensional scaling, shape data, microbiome data, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fbinf.2023.1211819/full; https://doaj.org/toc/2673-7647

URL الوصول: https://doaj.org/article/cf0f0aa2441b471a94883a7577c297dd

المؤلفون: Nina Miolane, Xavier Pennec

المصدر: Entropy, Vol 17, Iss 4, Pp 1850-1881 (2015)

مصطلحات موضوعية: Lie group, Lie algebra, statistics, pseudo-Riemannian, Science, Astrophysics, QB460-466, Physics, QC1-999

وصف الملف: electronic resource

Relation: http://www.mdpi.com/1099-4300/17/4/1850; https://doaj.org/toc/1099-4300

URL الوصول: https://doaj.org/article/9ea511ff289042c89936ecf23b5e4100

المؤلفون: Nicolas Guigui, Nina Miolane, Xavier Pennec

المؤلفون: Mathilde Papillon, Mariel Pettee, Nina Miolane

المصدر: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031289927

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4dd88ed0f26790545ddf526c56bc64e2
https://doi.org/10.1007/978-3-031-28993-4_31

المؤلفون: Claire Donnat, Axel Levy, Frédéric Poitevin, Ellen D. Zhong, Nina Miolane

المصدر: Journal of Structural Biology. 214:107920

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Structural Biology, Computer Vision and Pattern Recognition (cs.CV), FOS: Biological sciences, Cryoelectron Microscopy, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM), Machine Learning (cs.LG)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a58d44448f3dc20af8b030b39aa0369
https://doi.org/10.1016/j.jsb.2022.107920

المؤلفون: Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein

المصدر: Lecture Notes in Computer Science ISBN: 9783031198021
Comput Vis ECCV

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Quantitative Biology - Biomolecules, Computer Vision and Pattern Recognition (cs.CV), FOS: Biological sciences, Computer Science - Computer Vision and Pattern Recognition, Biomolecules (q-bio.BM), Article, Machine Learning (cs.LG)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e87dc567597f5bf11351f2f136d7718
https://doi.org/10.1007/978-3-031-19803-8_32

المؤلفون: Allison M. Gabbert, James A. Mondo, Joseph P. Campanale, Noah P. Mitchell, Adele Myers, Sebastian J. Streichan, Nina Miolane, Denise J. Montell

مصطلحات موضوعية: Gene knockdown, Border cells, Myosin, Colocalization, macromolecular substances, CDC42, Biology, Septin, Border cell migration, Process (anatomy), Cell biology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::598bebea9384088913dbe4e1d0874c7c
https://doi.org/10.1101/2021.04.08.439079

المؤلفون: Nina Miolane, Nicolas Guigui, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Daniel Brooks, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec

المساهمون: Department of Statistics [Stanford], Stanford University, Université Côte d'Azur (UCA), E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Paris 1 Panthéon-Sorbonne (UP1), Frog labs AI San Francisco, Imperial College London, Technische Universität Ilmenau (TU ), Institut de Mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG (UMR_7586)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), IRT SystemX (IRT SystemX), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Machine Learning and Information Access (MLIA), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Washington University in Saint Louis (WUSTL), Chercheur indépendant, ERC G-Statistics No 786854, ANR UCAJEDI No ANR-15-IDEX-01, 3IA Côte d'Azur ANR-19-P3IA-0002, Inria@SiliconValley, GeomStats, G-Statistics, ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019), European Project: 786854,H2020 Pilier ERC,ERC AdG(2018), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), IRT SystemX, Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Mines Paris - PSL (École nationale supérieure des mines de Paris), Asclepios, Project-Team, Idex UCA JEDI - - UCA JEDI2015 - ANR-15-IDEX-0001 - IDEX - VALID, 3IA Côte d'Azur - - 3IA@cote d'azur2019 - ANR-19-P3IA-0002 - P3IA - VALID, G-Statistics - Foundations of Geometric Statistics and Their Application in the Life Sciences - ERC AdG - - H2020 Pilier ERC2018-09-01 - 2023-08-31 - 786854 - VALID

المصدر: HAL
Journal of Machine Learning Research
Journal of Machine Learning Research, Microtome Publishing, 2020, 21 (223), pp.1-9
Journal of Machine Learning Research, 2020, 21 (223), pp.1-9

مصطلحات موضوعية: Technology, Science & Technology, manifold, [INFO] Computer Science [cs], Computer Science, Artificial Intelligence, 17 Psychology and Cognitive Sciences, Automation & Control Systems, machine learning, statistics, [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG], Computer Science, MANIFOLDS, Artificial Intelligence & Image Processing, [INFO]Computer Science [cs], 08 Information and Computing Sciences, differential geometry, Riemannian geometry, [MATH.MATH-DG] Mathematics [math]/Differential Geometry [math.DG]

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8cb7f51a3a95696af7654c621e432e3e
http://hdl.handle.net/20.500.12278/113146

المؤلفون: Nina Miolane, Paul Chauchat, Xavier Pennec, Bernhard Kainz, Daniel Brooks, Susan Holmes, Johan Mathe, Niklas Koep, Stefan Heyder, Benjamin Hou, Alice Le Brigant, Christian Shewmake, Yann Thanwerdas, Yann Cabanes, Thomas Gerald, Olivier Peltre, Nicolas Guigui, Claire Donnat, Hadi Zaatiti, Hatem Hajri

المساهمون: Stanford University, Université Côte d'Azur (UCA), Institut National de Recherche en Informatique et en Automatique (Inria), E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), IRT SystemX, Washington University in Saint Louis (WUSTL), Thales Air Systems, THALES [France], Machine Learning and Information Access (MLIA), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Paris 1 Panthéon-Sorbonne (UP1), Frog labs AI San Francisco, Imperial College London, Technische Universität Ilmenau (TU ), Institut de Mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG (UMR_7586)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Centre de Robotique (CAOR), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Meghann Agarwal, Chris Calloway, Dillon Niederhut, David Shupe, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019), European Project: 786854,H2020 Pilier ERC,ERC AdG(2018), IRT SystemX (IRT SystemX), Thales Group [France], Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), MINES ParisTech - École nationale supérieure des mines de Paris

المصدر: SciPy 2020-19th Python in Science Conference
SciPy 2020-19th Python in Science Conference, Jul 2020, Austin, Texas, United States. pp.48-57, ⟨10.25080/Majora-342d178e-007⟩
Proceedings of the 19th Python in Science Conference

مصطلحات موضوعية: manifold, Programming language, Computer science, Computation, Python (programming language), computer.software_genre, Index Terms-differential geometry, Documentation, machine learning, Differential geometry, statistics, [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Reference implementation, computer, Intuition, computer.programming_language

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3547d9c37a81d93725731a1eb934095
https://inria.hal.science/hal-02908006/file/geomstats.pdf