Frederic Chazal 个人学术档案

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引用	8215	4853
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Steve OudotInria在 inria.fr 的电子邮件经过验证
David Cohen-Steinerresearcher在 sophia.inria.fr 的电子邮件经过验证
Leonidas GuibasProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Bertrand MICHELEcole Centrale de Nantes , Nantes Université在 ec-nantes.fr 的电子邮件经过验证
Maks OvsjanikovProfessor, Ecole Polytechnique在 lix.polytechnique.fr 的电子邮件经过验证
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon University在 stat.cmu.edu 的电子邮件经过验证
Mirela Ben-ChenProfessor, Technion - Israel Institute of Technology在 cs.technion.ac.il 的电子邮件经过验证
Brittany Terese FasyMontana State University在 fasy.us 的电子邮件经过验证
Fabrizio LecciColumbia University在 columbia.edu 的电子邮件经过验证
Quentin MerigotUniversité Paris-Saclay在 universite-paris-saclay.fr 的电子邮件经过验证
Facundo MémoliDepartment of Mathematics. The Ohio State University.在 osu.edu 的电子邮件经过验证
Mickaël BuchetGraz University of Technology在 tugraz.at 的电子邮件经过验证
Jarek RossignacProfessor of Computer Science, Georgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证
Donald R. SheehyNorth Carolina State University在 ncsu.edu 的电子邮件经过验证
Raif RustamovAT&T Labs Research, Principal Inventive Scientist在 research.att.com 的电子邮件经过验证
Thomas LewinerProfessor of Mathematics, PUC-Rio在 puc-rio.br 的电子邮件经过验证
Chunyuan LiMicrosoft Research, Redmond在 microsoft.com 的电子邮件经过验证
William Crawley-BoeveyUniversität Bielefeld在 math.uni-bielefeld.de 的电子邮件经过验证
Luc DevroyeMcGill University在 cs.mcgill.ca 的电子邮件经过验证
Gérard BiauProfessor, Sorbonne University, Paris在 sorbonne-universite.fr 的电子邮件经过验证

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Frederic Chazal

INRIA Saclay - Ile de France

在 inria.fr 的电子邮件经过验证 - 首页

computational topology and geometry statistics topological data analysis machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
An introduction to topological data analysis: fundamental and practical aspects for data scientists F Chazal, B Michel Frontiers in artificial intelligence 4, 667963, 2021	621	2021
The structure and stability of persistence modules F Chazal, V De Silva, M Glisse, S Oudot Springer 10, 978-3, 2016	594	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	562	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	362	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	333	2009
Persistence stability for geometric complexes F Chazal, V De Silva, S Oudot Geometriae Dedicata 173 (1), 193-214, 2014	327	2014
Geometric inference for probability measures F Chazal, D Cohen-Steiner, Q Mérigot Foundations of Computational Mathematics 11, 733-751, 2011	303*	2011
The “λ-medial axis” F Chazal, A Lieutier Graphical models 67 (4), 304-331, 2005	251	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	244	2006
Towards persistence-based reconstruction in Euclidean spaces F Chazal, SY Oudot Proceedings of the twenty-fourth annual symposium on Computational geometry …, 2008	234	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	218	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	200*	2019
Geometric and topological inference JD Boissonnat, F Chazal, M Yvinec Cambridge University Press, 2018	189	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	162	2018
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	160	2010
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	159	2013
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	148	2003
Persistence-based structural recognition C Li, M Ovsjanikov, F Chazal Proceedings of the IEEE conference on computer vision and pattern …, 2014	147	2014
Scalar field analysis over point cloud data F Chazal, LJ Guibas, SY Oudot, P Skraba Discrete & Computational Geometry 46 (4), 743-775, 2011	144*	2011
Subsampling methods for persistent homology F Chazal, BT Fasy, F Lecci, B Michel, A Rinaldo, L Wasserman International Conference on Machine Learning ICML 2015, 2014	138	2014

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