Frederic Chazal

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Steve OudotInriaVerified email at inria.fr
David Cohen-SteinerresearcherVerified email at sophia.inria.fr
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Bertrand MICHELEcole Centrale de Nantes , Nantes UniversitéVerified email at ec-nantes.fr
Maks OvsjanikovProfessor, Ecole PolytechniqueVerified email at lix.polytechnique.fr
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Mirela Ben-ChenAssociate Professor, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Brittany Terese FasyMontana State UniversityVerified email at fasy.us
Quentin MerigotUniversité Paris-SaclayVerified email at universite-paris-saclay.fr
Fabrizio LecciColumbia UniversityVerified email at columbia.edu
Facundo MémoliDepartment of Mathematics. The Ohio State University.Verified email at osu.edu
Mickaël BuchetGraz University of TechnologyVerified email at tugraz.at
Jarek RossignacProfessor of Computer Science, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Donald R. SheehyNorth Carolina State UniversityVerified email at ncsu.edu
Raif RustamovAT&T Labs Research, Principal Inventive ScientistVerified email at research.att.com
Thomas LewinerProfessor of Mathematics, PUC-RioVerified email at puc-rio.br
Chunyuan LiMicrosoft Research, RedmondVerified email at microsoft.com
William Crawley-BoeveyUniversität BielefeldVerified email at math.uni-bielefeld.de
Luc DevroyeMcGill UniversityVerified email at cs.mcgill.ca
Gérard BiauProfessor, Sorbonne University, ParisVerified email at sorbonne-universite.fr

Frederic Chazal

INRIA Saclay - Ile de France

Verified email at inria.fr - Homepage

computational topology and geometry statistics topological data analysis machine learning


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The structure and stability of persistence modules F Chazal, V De Silva, M Glisse, S Oudot Springer 10, 978-3, 2016	549	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	538	2009
An introduction to topological data analysis: fundamental and practical aspects for data scientists F Chazal, B Michel Frontiers in artificial intelligence 4, 108, 2021	467	2021
Persistence-based clustering in Riemannian manifolds F Chazal, LJ Guibas, SY Oudot, P Skraba Journal of the ACM (JACM) 60 (6), 1-38, 2013	343	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	315	2009
Persistence stability for geometric complexes F Chazal, V De Silva, S Oudot Geometriae Dedicata 173 (1), 193-214, 2014	296	2014
Geometric inference for probability measures F Chazal, D Cohen-Steiner, Q Mérigot Foundations of Computational Mathematics 11, 733-751, 2011	292*	2011
The “λ-medial axis” F Chazal, A Lieutier Graphical models 67 (4), 304-331, 2005	244	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	233	2006
Towards persistence-based reconstruction in Euclidean spaces F Chazal, SY Oudot Proceedings of the twenty-fourth annual symposium on Computational geometry …, 2008	231	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	196	2014
Geometric and topological inference JD Boissonnat, F Chazal, M Yvinec Cambridge University Press, 2018	162	2018
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	159*	2019
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	156	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	151	2010
Robust topological inference: Distance to a measure and kernel distance F Chazal, B Fasy, F Lecci, B Michel, A Rinaldo, A Rinaldo, L Wasserman The Journal of Machine Learning Research 18 (1), 5845-5884, 2017	145	2017
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	145	2003
Persistence-based structural recognition C Li, M Ovsjanikov, F Chazal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	141	2014
Scalar field analysis over point cloud data F Chazal, LJ Guibas, SY Oudot, P Skraba Discrete & Computational Geometry 46 (4), 743-775, 2011	139*	2011
Computing and processing correspondences with functional maps M Ovsjanikov, E Corman, M Bronstein, E Rodolà, M Ben-Chen, L Guibas, ... SIGGRAPH ASIA 2016 Courses, 1-60, 2016	128	2016

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