Frédéric Chazal

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 43

Top Venues

Publications

Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
Choosing the parameter of the Fermat distance: navigating geometry and noise. Trans. Mach. Learn. Res. 2024 (2024)
Charles Arnal, Felix Hensel, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frédéric Chazal
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
Topological phase estimation method for reparameterized periodic functions. Adv. Comput. Math. 50 (4) (2024)
Felix Hensel, Charles Arnal, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frédéric Chazal
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks. CoRR (2023)
Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR (2023)
Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
Topological phase estimation method for reparameterized periodic functions. CoRR (2022)
Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. TAG-ML (2022)
Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. CoRR (2022)
Ewan Carr, Mathieu Carrière, Bertrand Michel, Frédéric Chazal, Raquel Iniesta
Identifying homogeneous subgroups of patients and important features: a topological machine learning approach. BMC Bioinform. 22 (1) (2021)
Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR (2021)
Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. IJCAI (2021)
Frédéric Chazal, Bertrand Michel
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers Artif. Intell. 4 (2021)
Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda
Optimizing persistent homology based functions. ICML (2021)
Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS (2021)
Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
Efficient Topological Layer based on Persistent Landscapes. CoRR (2020)
Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS (2020)
Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. SoCG (2020)
Meryll Dindin, Yuhei Umeda, Frédéric Chazal
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian Conference on AI (2020)
Quentin Mérigot, Alex Delalande, Frédéric Chazal
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. AISTATS (2020)
Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures. AISTATS (2020)
Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan
A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects. CoRR (2020)
Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
DTM-Based Filtrations. SoCG (2019)
Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR (2019)
Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda
ATOL: Automatic Topologically-Oriented Learning. CoRR (2019)
Quentin Mérigot, Alex Delalande, Frédéric Chazal
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. CoRR (2019)
Meryll Dindin, Yuhei Umeda, Frédéric Chazal
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR (2019)
Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches. Sensors 19 (20) (2019)
Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Robust pedestrian trajectory reconstruction from inertial sensor. IPIN (2019)
Vincent Divol, Frédéric Chazal
The density of expected persistence diagrams and its kernel based estimation. J. Comput. Geom. 10 (2) (2019)
Ruqi Huang, Frédéric Chazal, Maks Ovsjanikov
On the Stability of Functional Maps and Shape Difference Operators. Comput. Graph. Forum 37 (1) (2018)
Frédéric Chazal, Vincent Divol
The density of expected persistence diagrams and its kernel based estimation. CoRR (2018)
Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
DTM-based filtrations. CoRR (2018)
Frédéric Chazal, Vincent Divol
The Density of Expected Persistence Diagrams and its Kernel Based Estimation. SoCG (2018)
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Robust Topological Inference: Distance To a Measure and Kernel Distance. J. Mach. Learn. Res. 18 (2017)
Frédéric Chazal, Bertrand Michel
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists. CoRR (2017)
Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, Maks Ovsjanikov
Functoriality in Geometric Data (Dagstuhl Seminar 17021). Dagstuhl Reports 7 (1) (2017)
Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. IPIN (2017)
Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
Computing and processing correspondences with functional maps. SIGGRAPH Courses (2017)
Thomas Bonis, Maks Ovsjanikov, Steve Oudot, Frédéric Chazal
Persistence-Based Pooling for Shape Pose Recognition. CTIC (2016)
Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses (2016)
Frédéric Chazal, Ilaria Giulini, Bertrand Michel
Data driven estimation of Laplace-Beltrami operator. NIPS (2016)
Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
Efficient and robust persistent homology for measures. Comput. Geom. 58 (2016)
Frédéric Chazal, Ilaria Giulini, Bertrand Michel
Data driven estimation of Laplace-Beltrami operator. CoRR (2016)
Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang
Topological Analysis of Scalar Fields with Outliers. SoCG (2015)
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Subsampling Methods for Persistent Homology. ICML (2015)
Frédéric Chazal, Ruqi Huang, Jian Sun
Gromov-Hausdorff Approximation of Filamentary Structures Using Reeb-Type Graphs. Discret. Comput. Geom. 53 (3) (2015)
Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
Efficient and Robust Persistent Homology for Measures. SODA (2015)
Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, Mirela Ben-Chen
Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. ACM Trans. Graph. 34 (3) (2015)
Frédéric Chazal, Pascal Massart, Bertrand Michel
Rates of convergence for robust geometric inference. CoRR (2015)
Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
Convergence rates for persistence diagram estimation in topological data analysis. J. Mach. Learn. Res. 16 (2015)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Stochastic convergence of persistence landscapes and silhouettes. J. Comput. Geom. 6 (2) (2015)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Stochastic Convergence of Persistence Landscapes and Silhouettes. SoCG (2014)
Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang
Topological analysis of scalar fields with outliers. CoRR (2014)
Frédéric Chazal, Jian Sun
Gromov-Hausdorff Approximation of Filament Structure Using Reeb-type Graph. SoCG (2014)
Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
Convergence rates for persistence diagram estimation in Topological Data Analysis. ICML (2014)
Chunyuan Li, Maks Ovsjanikov, Frédéric Chazal
Persistence-Based Structural Recognition. CVPR (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Subsampling Methods for Persistent Homology. CoRR (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Robust Topological Inference: Distance To a Measure and Kernel Distance. CoRR (2014)
Frédéric Chazal, Steve Y. Oudot
Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis. GSI (2013)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
On the Bootstrap for Persistence Diagrams and Landscapes. CoRR (2013)
Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba
Persistence-Based Clustering in Riemannian Manifolds. J. ACM 60 (6) (2013)
Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel
Deconvolution for the Wasserstein Metric and Geometric Inference. GSI (2013)
Frédéric Chazal, Jian Sun
Gromov-Hausdorff Approximation of Metric Spaces with Linear Structure CoRR (2013)
Maks Ovsjanikov, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
Analysis and Visualization of Maps Between Shapes. Comput. Graph. Forum 32 (6) (2013)
Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
Optimal rates of convergence for persistence diagrams in Topological Data Analysis CoRR (2013)
Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
Efficient and Robust Topological Data Analysis on Metric Spaces. CoRR (2013)
Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Maks Ovsjanikov
An Operator Approach to Tangent Vector Field Processing. Comput. Graph. Forum 32 (5) (2013)
Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
Map-based exploration of intrinsic shape differences and variability. ACM Trans. Graph. 32 (4) (2013)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Stochastic Convergence of Persistence Landscapes and Silhouettes. CoRR (2013)
Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Oudot
The structure and stability of persistence modules CoRR (2012)
Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov
Metric Graph Reconstruction from noisy Data. Int. J. Comput. Geom. Appl. 22 (4) (2012)
Frédéric Chazal, Vin de Silva, Steve Oudot
Persistence stability for geometric complexes CoRR (2012)
Frédéric Chazal, Primoz Skraba, Amit Patel
. Appl. Math. Lett. 25 (11) (2012)
Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba
Scalar Field Analysis over Point Cloud Data. Discret. Comput. Geom. 46 (4) (2011)
Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot
Geometric Inference for Probability Measures. Found. Comput. Math. 11 (6) (2011)
Frédéric Chazal, Daniel Chen, Leonidas J. Guibas, Xiaoye Jiang, Christian Sommer
Data-driven trajectory smoothing. GIS (2011)
Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba
Persistence-based clustering in riemannian manifolds. SCG (2011)
Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov
Metric graph reconstruction from noisy data. SCG (2011)
Primoz Skraba, Maks Ovsjanikov, Frédéric Chazal, Leonidas J. Guibas
Persistence-based segmentation of deformable shapes. CVPR Workshops (2010)
Frédéric Chazal, André Lieutier, Jarek Rossignac, Brian Whited
Ball-Map: Homeomorphism between Compatible Surfaces. Int. J. Comput. Geom. Appl. 20 (3) (2010)
Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot
Boundary Measures for Geometric Inference. Found. Comput. Math. 10 (2) (2010)
Frédéric Chazal, David Cohen-Steiner, Marc Glisse, Leonidas J. Guibas, Steve Oudot
Proximity of persistence modules and their diagrams. SCG (2009)
Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert
Stability of Curvature Measures. Comput. Graph. Forum 28 (5) (2009)
Frédéric Chazal, David Cohen-Steiner, Leonidas J. Guibas, Facundo Mémoli, Steve Oudot
Gromov-Hausdorff Stable Signatures for Shapes using Persistence. Comput. Graph. Forum 28 (5) (2009)
Frédéric Chazal, André Lieutier, N. Montana
Discrete Critical Values: a General Framework for Silhouettes Computation. Comput. Graph. Forum 28 (5) (2009)
Frédéric Chazal, David Cohen-Steiner, André Lieutier
A Sampling Theory for Compact Sets in Euclidean Space. Discret. Comput. Geom. 41 (3) (2009)
Frédéric Chazal, David Cohen-Steiner, André Lieutier
Normal cone approximation and offset shape isotopy. Comput. Geom. 42 (6-7) (2009)
Frédéric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba
Analysis of scalar fields over point cloud data. SODA (2009)
Frédéric Chazal, André Lieutier
Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees. Comput. Geom. 40 (2) (2008)
Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert
Stability of Curvature Measures CoRR (2008)
Frédéric Chazal, Steve Oudot
Towards persistence-based reconstruction in euclidean spaces. SCG (2008)
Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert
Shape smoothing using double offsets. Symposium on Solid and Physical Modeling (2007)
Frédéric Chazal, André Lieutier, Jarek Rossignac
Normal-Map between Normal-Compatible Manifolds. Int. J. Comput. Geom. Appl. 17 (5) (2007)
Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot
Stability of boundary measures CoRR (2007)
Frédéric Chazal, Steve Oudot
Towards Persistence-Based Reconstruction in Euclidean Spaces CoRR (2007)
Frédéric Chazal, André Lieutier
. Discret. Comput. Geom. 37 (4) (2007)
Frédéric Chazal, David Cohen-Steiner, André Lieutier
A sampling theory for compact sets in Euclidean space. SCG (2006)
Frédéric Chazal, André Lieutier
Topology guaranteeing manifold reconstruction using distance function to noisy data. SCG (2006)
Frédéric Chazal, André Lieutier
-medial axis". Graph. Model. 67 (4) (2005)
Frédéric Chazal, André Lieutier, Jarek Rossignac
Projection-homeomorphic surfaces. Symposium on Solid and Physical Modeling (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frédéric Chazal