Frédéric Chazal

109 papers A* 14A 3C 2Journal 67Unranked 22

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Choosing the parameter of the Fermat distance: navigating geometry and noise. Trans. Mach. Learn. Res. Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
2024	J	`jnl`	MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks. Trans. Mach. Learn. Res. Charles Arnal, Felix Hensel, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frédéric Chazal
2024	J	`jnl`	Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series. J. Mach. Learn. Res. Frédéric Chazal, Clément Levrard, Martin Royer
2024	J	`jnl`	Topological phase estimation method for reparameterized periodic functions. Adv. Comput. Math. Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
2023	J	`jnl`	Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
2023	J	`jnl`	MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks. CoRR Felix Hensel, Charles Arnal, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frédéric Chazal
2022	—	`conf`	RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. TAG-ML Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal
2022	J	`jnl`	RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. CoRR Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal
2022	J	`jnl`	Topological phase estimation method for reparameterized periodic functions. CoRR Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
2021	A	`conf`	ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike
2021	J	`jnl`	An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers Artif. Intell. Frédéric Chazal, Bertrand Michel
2021	J	`jnl`	Identifying homogeneous subgroups of patients and important features: a topological machine learning approach. BMC Bioinform. Ewan Carr, Mathieu Carrière, Bertrand Michel, Frédéric Chazal, Raquel Iniesta
2021	A*	`conf`	Optimizing persistent homology based functions. ICML Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda
2021	A*	`conf`	Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. IJCAI Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
2021	J	`jnl`	Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
2020	J	`jnl`	A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects. CoRR Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan
2020	J	`jnl`	Efficient Topological Layer based on Persistent Landscapes. CoRR Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
2020	A*	`conf`	Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. SoCG Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman
2020	A*	`conf`	PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
2020	A	`conf`	PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures. AISTATS Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
2020	A	`conf`	Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. AISTATS Quentin Mérigot, Alex Delalande, Frédéric Chazal
2020	—	`conf`	Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian AI Meryll Dindin, Yuhei Umeda, Frédéric Chazal
2019	J	`jnl`	A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
2019	J	`jnl`	ATOL: Automatic Topologically-Oriented Learning. CoRR Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda
2019	A*	`conf`	DTM-Based Filtrations. SoCG Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
2019	J	`jnl`	Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. CoRR Quentin Mérigot, Alex Delalande, Frédéric Chazal
2019	J	`jnl`	Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches. Sensors Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
2019	C	`conf`	Robust pedestrian trajectory reconstruction from inertial sensor. IPIN Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
2019	J	`jnl`	The density of expected persistence diagrams and its kernel based estimation. J. Comput. Geom. Vincent Divol, Frédéric Chazal
2019	J	`jnl`	Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR Meryll Dindin, Yuhei Umeda, Frédéric Chazal
2018	J	`jnl`	DTM-based filtrations. CoRR Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
2018	J	`jnl`	On the Stability of Functional Maps and Shape Difference Operators. Comput. Graph. Forum Ruqi Huang, Frédéric Chazal, Maks Ovsjanikov
2018	A*	`conf`	The Density of Expected Persistence Diagrams and its Kernel Based Estimation. SoCG Frédéric Chazal, Vincent Divol
2018	J	`jnl`	The density of expected persistence diagrams and its kernel based estimation. CoRR Frédéric Chazal, Vincent Divol
2017	J	`jnl`	An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists. CoRR Frédéric Chazal, Bertrand Michel
2017	—	`conf`	Computing and processing correspondences with functional maps. SIGGRAPH Courses Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2017	J	`jnl`	Functoriality in Geometric Data (Dagstuhl Seminar 17021). Dagstuhl Reports Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, Maks Ovsjanikov
2017	J	`jnl`	Robust Topological Inference: Distance To a Measure and Kernel Distance. J. Mach. Learn. Res. Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2017	C	`conf`	Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. IPIN Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
2016	—	`conf`	Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2016	—	`conf`	Data driven estimation of Laplace-Beltrami operator. NIPS Frédéric Chazal, Ilaria Giulini, Bertrand Michel
2016	J	`jnl`	Data driven estimation of Laplace-Beltrami operator. CoRR Frédéric Chazal, Ilaria Giulini, Bertrand Michel
2016	J	`jnl`	Efficient and robust persistent homology for measures. Comput. Geom. Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
2016	—	`conf`	Persistence-Based Pooling for Shape Pose Recognition. CTIC Thomas Bonis, Maks Ovsjanikov, Steve Oudot, Frédéric Chazal
2016	—	`book`	The Structure and Stability of Persistence Modules. Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Y. Oudot
2015	J	`jnl`	Convergence rates for persistence diagram estimation in topological data analysis. J. Mach. Learn. Res. Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
2015	J	`jnl`	Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. ACM Trans. Graph. Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, Mirela Ben-Chen
2015	A*	`conf`	Efficient and Robust Persistent Homology for Measures. SODA Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
2015	J	`jnl`	Gromov-Hausdorff Approximation of Filamentary Structures Using Reeb-Type Graphs. Discret. Comput. Geom. Frédéric Chazal, Ruqi Huang, Jian Sun
2015	J	`jnl`	Rates of convergence for robust geometric inference. CoRR Frédéric Chazal, Pascal Massart, Bertrand Michel
2015	J	`jnl`	Stochastic convergence of persistence landscapes and silhouettes. J. Comput. Geom. Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2015	A*	`conf`	Subsampling Methods for Persistent Homology. ICML Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2015	A*	`conf`	Topological Analysis of Scalar Fields with Outliers. SoCG Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang
2014	A*	`conf`	Convergence rates for persistence diagram estimation in Topological Data Analysis. ICML Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
2014	A*	`conf`	Gromov-Hausdorff Approximation of Filament Structure Using Reeb-type Graph. SoCG Frédéric Chazal, Jian Sun
2014	A*	`conf`	Persistence-Based Structural Recognition. CVPR Chunyuan Li, Maks Ovsjanikov, Frédéric Chazal
2014	J	`jnl`	Robust Topological Inference: Distance To a Measure and Kernel Distance. CoRR Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2014	A*	`conf`	Stochastic Convergence of Persistence Landscapes and Silhouettes. SoCG Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2014	J	`jnl`	Subsampling Methods for Persistent Homology. CoRR Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2014	J	`jnl`	Topological analysis of scalar fields with outliers. CoRR Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang
2013	J	`jnl`	An Operator Approach to Tangent Vector Field Processing. Comput. Graph. Forum Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Maks Ovsjanikov
2013	J	`jnl`	Analysis and Visualization of Maps Between Shapes. Comput. Graph. Forum Maks Ovsjanikov, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
2013	—	`conf`	Deconvolution for the Wasserstein Metric and Geometric Inference. GSI Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel
2013	J	`jnl`	Efficient and Robust Topological Data Analysis on Metric Spaces. CoRR Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
2013	J	`jnl`	Gromov-Hausdorff Approximation of Metric Spaces with Linear Structure CoRR Frédéric Chazal, Jian Sun
2013	—	`conf`	Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis. GSI Frédéric Chazal, Steve Y. Oudot
2013	J	`jnl`	Map-based exploration of intrinsic shape differences and variability. ACM Trans. Graph. Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
2013	J	`jnl`	On the Bootstrap for Persistence Diagrams and Landscapes. CoRR Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2013	J	`jnl`	Optimal rates of convergence for persistence diagrams in Topological Data Analysis CoRR Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
2013	J	`jnl`	Persistence-Based Clustering in Riemannian Manifolds. J. ACM Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba
2013	J	`jnl`	Stochastic Convergence of Persistence Landscapes and Silhouettes. CoRR Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2012	J	`jnl`	Computing well diagrams for vector fields on R Appl. Math. Lett. Frédéric Chazal, Primoz Skraba, Amit Patel
2012	J	`jnl`	Metric Graph Reconstruction from noisy Data. Int. J. Comput. Geom. Appl. Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov
2012	J	`jnl`	Persistence stability for geometric complexes CoRR Frédéric Chazal, Vin de Silva, Steve Oudot
2012	J	`jnl`	The structure and stability of persistence modules CoRR Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Oudot
2011	—	`conf`	Data-driven trajectory smoothing. GIS Frédéric Chazal, Daniel Chen, Leonidas J. Guibas, Xiaoye Jiang, Christian Sommer
2011	J	`jnl`	Geometric Inference for Probability Measures. Found. Comput. Math. Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot
2011	—	`conf`	Metric graph reconstruction from noisy data. SCG Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov
2011	—	`conf`	Persistence-based clustering in riemannian manifolds. SCG Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba
2011	J	`jnl`	Scalar Field Analysis over Point Cloud Data. Discret. Comput. Geom. Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba
2010	J	`jnl`	Ball-Map: Homeomorphism between Compatible Surfaces. Int. J. Comput. Geom. Appl. Frédéric Chazal, André Lieutier, Jarek Rossignac, Brian Whited
2010	J	`jnl`	Boundary Measures for Geometric Inference. Found. Comput. Math. Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot
2010	—	`conf`	Persistence-based segmentation of deformable shapes. CVPR Workshops Primoz Skraba, Maks Ovsjanikov, Frédéric Chazal, Leonidas J. Guibas
2009	J	`jnl`	A Sampling Theory for Compact Sets in Euclidean Space. Discret. Comput. Geom. Frédéric Chazal, David Cohen-Steiner, André Lieutier
2009	A*	`conf`	Analysis of scalar fields over point cloud data. SODA Frédéric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba
2009	J	`jnl`	Discrete Critical Values: a General Framework for Silhouettes Computation. Comput. Graph. Forum Frédéric Chazal, André Lieutier, N. Montana
2009	J	`jnl`	Gromov-Hausdorff Stable Signatures for Shapes using Persistence. Comput. Graph. Forum Frédéric Chazal, David Cohen-Steiner, Leonidas J. Guibas, Facundo Mémoli, Steve Oudot
2009	J	`jnl`	Normal cone approximation and offset shape isotopy. Comput. Geom. Frédéric Chazal, David Cohen-Steiner, André Lieutier
2009	—	`conf`	Proximity of persistence modules and their diagrams. SCG Frédéric Chazal, David Cohen-Steiner, Marc Glisse, Leonidas J. Guibas, Steve Oudot
2009	J	`jnl`	Stability of Curvature Measures. Comput. Graph. Forum Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert
2008	J	`jnl`	Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees. Comput. Geom. Frédéric Chazal, André Lieutier
2008	J	`jnl`	Stability of Curvature Measures CoRR Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert
2008	—	`conf`	Towards persistence-based reconstruction in euclidean spaces. SCG Frédéric Chazal, Steve Oudot
2007	J	`jnl`	Normal-Map between Normal-Compatible Manifolds. Int. J. Comput. Geom. Appl. Frédéric Chazal, André Lieutier, Jarek Rossignac
2007	—	`conf`	Shape smoothing using double offsets. Symposium on Solid and Physical Modeling Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert
2007	J	`jnl`	Stability and Computation of Topological Invariants of Solids in \Bbb Discret. Comput. Geom. Frédéric Chazal, André Lieutier
2007	J	`jnl`	Stability of boundary measures CoRR Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot
2007	J	`jnl`	Towards Persistence-Based Reconstruction in Euclidean Spaces CoRR Frédéric Chazal, Steve Oudot
2006	—	`conf`	A sampling theory for compact sets in Euclidean space. SCG Frédéric Chazal, David Cohen-Steiner, André Lieutier
2006	—	`conf`	Topology guaranteeing manifold reconstruction using distance function to noisy data. SCG Frédéric Chazal, André Lieutier
2005	J	`jnl`	A condition for isotopic approximation. Graph. Model. Frédéric Chazal, David Cohen-Steiner
2005	—	`conf`	Projection-homeomorphic surfaces. Symposium on Solid and Physical Modeling Frédéric Chazal, André Lieutier, Jarek Rossignac
2005	J	`jnl`	The " Graph. Model. Frédéric Chazal, André Lieutier
2005	—	`conf`	Weak feature size and persistent homology: computing homology of solids in R SCG Frédéric Chazal, André Lieutier
2004	—	`conf`	A condition for isotopic approximation. Symposium on Solid Modeling and Applications Frédéric Chazal, David Cohen-Steiner
2004	J	`jnl`	Erratum to 'Dynamical Sources in Information Theory: Fundamental Intervals and Word Prefixes'. Algorithmica Frédéric Chazal, Véronique Maume-Deschamps, Brigitte Vallée
2004	—	`conf`	Stability and homotopy of a subset of the medial axis. Symposium on Solid Modeling and Applications Frédéric Chazal, André Lieutier
2004	J	`jnl`	Statistical properties of general Markov dynamical sources: applications to information theory. Discret. Math. Theor. Comput. Sci. Frédéric Chazal, Véronique Maume-Deschamps
2003	—	`conf`	Molecular shape analysis based upon the morse-smale complex and the connolly function. SCG Frédéric Cazals, Frédéric Chazal, Thomas Lewiner