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authFullName_s : Nina Miolane

geomstats: a Python Package for Riemannian Geometry in Machine Learning

Nina Miolane , Johan Mathe , Claire Donnat , Mikael Jorda , Xavier Pennec et al.
2019
Preprints, Working Papers, ... hal-01974572v1
Image document

Statistics on Lie groups : a need to go beyond the pseudo-Riemannian framework

Nina Miolane , Xavier Pennec
Bayesian inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), Sep 2014, Amboise, France. pp.59--66, ⟨10.1063/1.4905963⟩
Conference papers hal-01091515v1

Analyse biométrique de l'anneau pelvien en 3 dimensions - à propos de 100 scanners

Hugo Darmanté , Benoit Bugnas , Regis Bernard De Dompsure , Laurent Barresi , Nina Miolane et al.
89e Réunion annuelle de la SOFCOT, Nov 2014, Paris, France. ⟨10.1016/j.rcot.2014.09.076⟩
Conference papers hal-01094711v1
Image document

Biased estimators on Quotient spaces

Nina Miolane , Xavier Pennec
Geometric Science of Information. Second International Conference, GSI 2015., Oct 2015, Palaiseau, France. pp.130-139, ⟨10.1007/978-3-319-25040-3_15⟩
Conference papers hal-01203805v1
Image document

Towards a unified bayesian geometric framework for template estimation in Computational Anatomy

Nina Miolane , Xavier Pennec , Susan Holmes
International Society of Bayesian Analysis: World Meeting, Jun 2016, Cagliari, Italy.
Poster communications hal-01396716v1

Les maths de l’espace-temps qui décrivent et dépassent le cerveau

Nina Miolane
Interstices, 2017
Journal articles hal-01503822v1
Image document

Introduction to Geometric Learning in Python with Geomstats

Nina Miolane , Nicolas Guigui , Hadi Zaatiti , Christian Shewmake , Hatem Hajri et al.
SciPy 2020 - 19th Python in Science Conference, Jul 2020, Austin, Texas, United States. pp.48-57, ⟨10.25080/Majora-342d178e-007⟩
Conference papers hal-02908006v1
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ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results

Adele Myers , Saiteja Utpala , Shubham Talbar , Sophia Sanborn , Christian Shewmake et al.
Proceedings of Machine Learning Research, 2022, Topological, Algebraic and Geometric Learning Workshops 2022, 196, pp.269-276. ⟨10.5281/zenodo.6554616⟩
Journal articles hal-03903044v1
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Template Shape Estimation: Correcting an Asymptotic Bias

Nina Miolane , Susan Holmes , Xavier Pennec
SIAM Journal on Imaging Sciences, 2017, 10 (2), pp.808 - 844. ⟨10.1137/16M1084493⟩
Journal articles hal-01350508v2
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Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics

Nina Miolane , Xavier Pennec
Entropy, 2015, 17 (4), pp.1850-1881. ⟨10.3390/e17041850⟩
Journal articles hal-01133922v1
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Introduction to Riemannian Geometry and Geometric Statistics: from basic theory to implementation with Geomstats

Nicolas Guigui , Nina Miolane , Xavier Pennec
Foundations and Trends in Machine Learning, 2023, 16 (3), pp.329-493. ⟨10.1561/2200000098⟩
Journal articles hal-03766900v2
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Defining a mean on Lie group

Nina Miolane
Medical Imaging. 2013
Master thesis hal-00938320v1
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Topologically constrained template estimation via Morse-Smale complexes controls its statistical consistency

Nina Miolane , Susan Holmes , Xavier Pennec
SIAM Journal on Applied Algebra and Geometry, 2018, 2 (2), pp.348-375. ⟨10.1137/17M1129222⟩
Journal articles hal-01655366v1

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
Image document

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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Parametric information geometry with the package Geomstats

Alice Le Brigant , Jules Deschamps , Antoine Collas , Nina Miolane
2022
Preprints, Working Papers, ... hal-03862556v1
Image document

A survey of mathematical structures for extending 2D neurogeometry to 3D image processing

Nina Miolane , Xavier Pennec
MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data. MCV 2015., Oct 2015, Munich, Germany. pp.155-167, ⟨10.1007/978-3-319-42016-5_15⟩
Conference papers hal-01203518v1
Image document

Geometric statistics for computational anatomy

Nina Miolane
Human health and pathology. Université Côte d'Azur, 2016. English. ⟨NNT : 2016AZUR4146⟩
Theses tel-01411886v2
Image document

Bias on estimation in quotient space and correction methods: Applications to statistics on organ shapes

Nina Miolane , Loïc Devilliers , Xavier Pennec
Riemannian Geometric Statistics in Medical Image Analysis, Chap. 9, Elsevier, pp.343-376, 2020, ⟨10.1016/B978-0-12-814725-2.00017-0⟩
Book sections hal-02342155v1