Introduction to Geometric Learning in Python with Geomstats
Nina Miolane
,
Nicolas Guigui
,
Hadi Zaatiti
,
Christian Shewmake
,
Hatem Hajri
,
et al.
Conference papers
hal-02908006v1
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Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds
Nicolas Guigui
,
Xavier Pennec
Journal articles
hal-02894783v3
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Cardiac Motion Modeling with Parallel Transport and Shape Splines
Nicolas Guigui
,
Pamela Moceri
,
Maxime Sermesant
,
Xavier Pennec
Conference papers
hal-03142196v1
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ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
Nina Miolane
,
Matteo Caorsi
,
Umberto Lupo
,
Marius Guerard
,
Nicolas Guigui
,
et al.
2021
Preprints, Working Papers, ...
hal-03505132v1
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Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Nina Miolane
,
Nicolas Guigui
,
Alice Le Brigant
,
Johan Mathe
,
Benjamin Hou
,
et al.
Journal of Machine Learning Research , 2020, 21 (223), pp.1-9
Journal articles
hal-02536154v2
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Wrapped statistical models on manifolds: motivations, the case SE(n), and generalization to symmetric spaces
Emmanuel Chevallier
,
Nicolas Guigui
Joint Structures and Common Foundations of Statistical Physics, Information Geometry and Inference for Learning , Jul 2020, Les Houches, France
Conference papers
hal-03154401v1
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Parallel Transport on Kendall Shape Spaces
Nicolas Guigui
,
Elodie Maignant
,
Alain Trouvé
,
Xavier Pennec
Conference papers
hal-03160677v1
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Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation
Maxime Di Folco
,
Nicolas Guigui
,
Patrick Clarysse
,
Pamela Moceri
,
Nicolas Duchateau
FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart , Jun 2021, Stanford, United States. pp.223-231,
⟨10.1007/978-3-030-78710-3_22⟩
Conference papers
hal-03203378v1
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Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms
Nicolas Guigui
,
Shuman Jia
,
Maxime Sermesant
,
Xavier Pennec
GSI 2019 - 4th conference on Geometric Science of Information , F. Nielsen and F. Barbaresco, Aug 2019, Toulouse, France. pp.759--768,
⟨10.1007/978-3-030-26980-7_79⟩
Conference papers
hal-02148832v1
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Introduction to Riemannian Geometry and Geometric Statistics: from basic theory to implementation with Geomstats
Nicolas Guigui
,
Nina Miolane
,
Xavier Pennec
Journal articles
hal-03766900v2
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Classifying histograms of medical data using information geometry of beta distributions
Alice Le Brigant
,
Nicolas Guigui
,
Sana Rebbah
,
Stéphane Puechmorel
Journal articles
hal-02671122v2
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Network regularization in imaging genetics improves prediction performances and model interpretability on Alzheimers's disease
Nicolas Guigui
,
C. Philippe
,
A. Gloaguen
,
S. Karkar
,
V. Guillemot
,
et al.
ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging , Apr 2019, Venice, Italy.
⟨10.1109/ISBI.2019.8759593⟩
Conference papers
cea-02016625v1
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Computational methods for statistical estimation on Riemannian manifolds and application to the study of the cardiac deformations
Nicolas Guigui
Theses
tel-03563980v2
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A reduced parallel transport equation on Lie Groups with a left-invariant metric
Nicolas Guigui
,
Xavier Pennec
Conference papers
hal-03154318v2
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Parallel transport, a central tool in geometric statistics for computational anatomy: Application to cardiac motion modeling
Nicolas Guigui
,
Xavier Pennec
Frank Nielsen; Arni S.R. Srinivasa Rao; C.R. Rao.
Geometry and Statistics , 46, Elsevier, pp.285-326, 2022, Handbook of Statistics, 978-0-323-91345-4.
⟨10.1016/bs.host.2022.03.006⟩
Book sections
hal-03684811v1
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A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions
Emmanuel Chevallier
,
Nicolas Guigui
Journal articles
hal-02568245v1
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