Frederic Chazal
Frederic Chazal
INRIA Saclay - Ile de France
Verified email at - Homepage
Cited by
Cited by
An introduction to topological data analysis: fundamental and practical aspects for data scientists
F Chazal, B Michel
Frontiers in artificial intelligence 4, 108, 2021
The structure and stability of persistence modules
F Chazal, V De Silva, M Glisse, S Oudot
Springer 10, 978-3, 2016
Proximity of persistence modules and their diagrams
F Chazal, D Cohen-Steiner, M Glisse, LJ Guibas, SY Oudot
Proceedings of the twenty-fifth annual symposium on Computational geometry …, 2009
Persistence-based clustering in Riemannian manifolds
F Chazal, LJ Guibas, SY Oudot, P Skraba
Journal of the ACM (JACM) 60 (6), 1-38, 2013
Gromov‐Hausdorff stable signatures for shapes using persistence
F Chazal, D Cohen‐Steiner, LJ Guibas, F Mémoli, SY Oudot
Computer Graphics Forum 28 (5), 1393-1403, 2009
Persistence stability for geometric complexes
F Chazal, V De Silva, S Oudot
Geometriae Dedicata 173 (1), 193-214, 2014
Geometric inference for probability measures
F Chazal, D Cohen-Steiner, Q Mérigot
Foundations of Computational Mathematics 11, 733-751, 2011
The “λ-medial axis”
F Chazal, A Lieutier
Graphical models 67 (4), 304-331, 2005
A sampling theory for compact sets in Euclidean space
F Chazal, D Cohen-Steiner, A Lieutier
Proceedings of the twenty-second annual symposium on Computational geometry …, 2006
Towards persistence-based reconstruction in Euclidean spaces
F Chazal, SY Oudot
Proceedings of the twenty-fourth annual symposium on Computational geometry …, 2008
Stochastic convergence of persistence landscapes and silhouettes
F Chazal, BT Fasy, F Lecci, A Rinaldo, L Wasserman
Proceedings of the thirtieth annual symposium on Computational geometry, 474-483, 2014
Perslay: A simple and versatile neural network layer for persistence diagrams
M Carriere, F Chazal, IS Datashape, Y Ike, T Lacombe, M Royer, ...
stat 1050, 5, 2019
Geometric and topological inference
JD Boissonnat, F Chazal, M Yvinec
Cambridge University Press, 2018
Robust topological inference: Distance to a measure and kernel distance
B Fasy, F Lecci, L Wasserman
Journal of Machine Learning Research 18 (159), 1-40, 2018
Map-based exploration of intrinsic shape differences and variability
RM Rustamov, M Ovsjanikov, O Azencot, M Ben-Chen, F Chazal, ...
ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013
Persistence-based segmentation of deformable shapes
P Skraba, M Ovsjanikov, F Chazal, L Guibas
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Molecular shape analysis based upon the Morse-Smale complex and the Connolly function
F Cazals, F Chazal, T Lewiner
Proceedings of the nineteenth annual symposium on Computational geometry …, 2003
Persistence-based structural recognition
C Li, M Ovsjanikov, F Chazal
Proceedings of the IEEE conference on computer vision and pattern …, 2014
Scalar field analysis over point cloud data
F Chazal, LJ Guibas, SY Oudot, P Skraba
Discrete & Computational Geometry 46 (4), 743-775, 2011
Computing and processing correspondences with functional maps
M Ovsjanikov, E Corman, M Bronstein, E Rodolŕ, M Ben-Chen, L Guibas, ...
SIGGRAPH ASIA 2016 Courses, 1-60, 2016
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