Nicolas Guigui

According to our database, Nicolas Guigui authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats.

Nicolas Guigui, Nina Miolane, Xavier Pennec

Found. Trends Mach. Learn., 2023

2022

Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery.

Nicolas Traut, Katja Heuer, Guillaume Lemaître, Anita Beggiato, David Germanaud, Monique Elmaleh, Alban Bethegnies, Laurent Bonnasse-Gahot, Weidong Cai, Stanislas Chambon, Freddy Cliquet, Ayoub Ghriss, Nicolas Guigui, Amicie de Pierrefeu, Meng Wang, Valentina Zantedeschi, Alexandre Boucaud, Joris Van den Bossche, Balázs Kégl, Richard Delorme, Thomas Bourgeron, Roberto Toro, Gaël Varoquaux

NeuroImage, 2022

Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds.

Nicolas Guigui, Xavier Pennec

Found. Comput. Math., 2022

2021

Computational methods for statistical estimation on Riemannian manifolds and application to the study of the cardiac deformations. (Estimation statistique dans les variétés Riemanniennes : implémentation et application à l'étude des déformations cardiaques).

Nicolas Guigui

PhD thesis, 2021

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.

Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long

CoRR, 2021

Cardiac Motion Modeling With Parallel Transport And Shape Splines.

Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric.

Nicolas Guigui, Xavier Pennec

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Parallel Transport on Kendall Shape Spaces.

Nicolas Guigui, Elodie Maignant, Alain Trouvé, Xavier Pennec

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020

A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions.

Emmanuel Chevallier, Nicolas Guigui

Entropy, 2020

Classifying histograms of medical data using information geometry of beta distributions.

Alice Le Brigant, Nicolas Guigui, Sana Rebbah, Stéphane Puechmorel

CoRR, 2020

Geomstats: A Python Package for Riemannian Geometry in Machine Learning.

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

CoRR, 2020

Wrapped Statistical Models on Manifolds: Motivations, The Case SE(n), and Generalization to Symmetric Spaces.

Emmanuel Chevallier, Nicolas Guigui

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

Introduction to Geometric Learning in Python with Geomstats.

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

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

Network Regularization in Imaging Genetics Improves Prediction Performances and Model Interpretability on Alzheimer's Disease.

Nicolas Guigui, Cathy Philippe, Arnaud Gloaguen, Slim Karkar, Vincent Guillemot, Tommy Löfstedt, Vincent Frouin

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms.

Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec

Proceedings of the Geometric Science of Information - 4th International Conference, 2019