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Frédéric Chazal
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2020 – today
- 2024
- [j36]Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
:
Topological phase estimation method for reparameterized periodic functions. Adv. Comput. Math. 50(4): 66 (2024) - [j35]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) - [j34]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) - 2023
- [i30]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 abs/2305.13271 (2023) - [i29]Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza:
Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR abs/2311.18663 (2023) - 2022
- [c41]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: 96-106 - [i28]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 abs/2202.01725 (2022) - [i27]Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise:
Topological phase estimation method for reparameterized periodic functions. CoRR abs/2205.14390 (2022) - 2021
- [j33]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): 449 (2021) - [j32]Frédéric Chazal, Bertrand Michel:
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers Artif. Intell. 4: 667963 (2021) - [c40]Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike
:
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS 2021: 1000-1008 - [c39]Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda:
Optimizing persistent homology based functions. ICML 2021: 1294-1303 - [c38]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: 2666-2672 - [i26]Théo Lacombe, Yuichi Ike
, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR abs/2105.04404 (2021) - 2020
- [c37]Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian AI 2020: 177-188 - [c36]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: 2786-2796 - [c35]Quentin Mérigot, Alex Delalande, Frédéric Chazal:
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. AISTATS 2020: 3186-3196 - [c34]Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman:
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. SoCG 2020: 54:1-54:19 - [c33]Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS 2020 - [i25]Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
Efficient Topological Layer based on Persistent Landscapes. CoRR abs/2002.02778 (2020) - [i24]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 abs/2010.08356 (2020)
2010 – 2019
- 2019
- [j31]Vincent Divol, Frédéric Chazal:
The density of expected persistence diagrams and its kernel based estimation. J. Comput. Geom. 10(2): 127-153 (2019) - [j30]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): 4491 (2019) - [c32]Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike
, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-Based Filtrations. SoCG 2019: 58:1-58:15 - [c31]Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel:
Robust pedestrian trajectory reconstruction from inertial sensor. IPIN 2019: 1-8 - [i23]Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda:
A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR abs/1904.09378 (2019) - [i22]Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR abs/1906.05795 (2019) - [i21]Martin Royer, Frédéric Chazal, Yuichi Ike
, Yuhei Umeda:
ATOL: Automatic Topologically-Oriented Learning. CoRR abs/1909.13472 (2019) - [i20]Quentin Mérigot, Alex Delalande, Frédéric Chazal:
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. CoRR abs/1910.05954 (2019) - 2018
- [j29]Ruqi Huang
, Frédéric Chazal, Maks Ovsjanikov:
On the Stability of Functional Maps and Shape Difference Operators. Comput. Graph. Forum 37(1): 145-158 (2018) - [c30]Frédéric Chazal, Vincent Divol:
The Density of Expected Persistence Diagrams and its Kernel Based Estimation. SoCG 2018: 26:1-26:15 - [i19]Frédéric Chazal, Vincent Divol:
The density of expected persistence diagrams and its kernel based estimation. CoRR abs/1802.10457 (2018) - [i18]Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-based filtrations. CoRR abs/1811.04757 (2018) - 2017
- [j28]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: 159:1-159:40 (2017) - [c29]Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel:
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. IPIN 2017: 1-6 - [c28]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: 5:1-5:62 - [i17]Frédéric Chazal, Bertrand Michel:
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists. CoRR abs/1710.04019 (2017) - [i16]Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, Maks Ovsjanikov:
Functoriality in Geometric Data (Dagstuhl Seminar 17021). Dagstuhl Reports 7(1): 1-18 (2017) - 2016
- [b1]Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Y. Oudot:
The Structure and Stability of Persistence Modules. Springer Briefs in Mathematics, Springer 2016, ISBN 978-3-319-42543-6, pp. I-X, 1-120 - [j27]Mickaël Buchet
, Frédéric Chazal, Steve Y. Oudot
, Donald R. Sheehy
:
Efficient and robust persistent homology for measures. Comput. Geom. 58: 70-96 (2016) - [c27]Thomas Bonis, Maks Ovsjanikov, Steve Oudot
, Frédéric Chazal:
Persistence-Based Pooling for Shape Pose Recognition. CTIC 2016: 19-29 - [c26]Frédéric Chazal, Ilaria Giulini, Bertrand Michel:
Data driven estimation of Laplace-Beltrami operator. NIPS 2016: 3963-3971 - [c25]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: 9:1-9:60 - [i15]Frédéric Chazal, Ilaria Giulini, Bertrand Michel:
Data driven estimation of Laplace-Beltrami operator. CoRR abs/1612.09434 (2016) - 2015
- [j26]Frédéric Chazal, Ruqi Huang, Jian Sun:
Gromov-Hausdorff Approximation of Filamentary Structures Using Reeb-Type Graphs. Discret. Comput. Geom. 53(3): 621-649 (2015) - [j25]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Convergence rates for persistence diagram estimation in topological data analysis. J. Mach. Learn. Res. 16: 3603-3635 (2015) - [j24]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic convergence of persistence landscapes and silhouettes. J. Comput. Geom. 6(2): 140-161 (2015) - [j23]Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, Mirela Ben-Chen:
Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. ACM Trans. Graph. 34(3): 29:1-29:13 (2015) - [c24]Mickaël Buchet
, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot
, Yusu Wang:
Topological Analysis of Scalar Fields with Outliers. SoCG 2015: 827-841 - [c23]Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. ICML 2015: 2143-2151 - [c22]Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy
:
Efficient and Robust Persistent Homology for Measures. SODA 2015: 168-180 - [i14]Frédéric Chazal, Pascal Massart, Bertrand Michel:
Rates of convergence for robust geometric inference. CoRR abs/1505.07602 (2015) - 2014
- [c21]Frédéric Chazal, Brittany Terese Fasy
, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic Convergence of Persistence Landscapes and Silhouettes. SoCG 2014: 474 - [c20]Frédéric Chazal, Jian Sun:
Gromov-Hausdorff Approximation of Filament Structure Using Reeb-type Graph. SoCG 2014: 491 - [c19]Chunyuan Li, Maks Ovsjanikov, Frédéric Chazal:
Persistence-Based Structural Recognition. CVPR 2014: 2003-2010 - [c18]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Convergence rates for persistence diagram estimation in Topological Data Analysis. ICML 2014: 163-171 - [i13]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. CoRR abs/1406.1901 (2014) - [i12]Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang:
Topological analysis of scalar fields with outliers. CoRR abs/1412.1680 (2014) - [i11]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 abs/1412.7197 (2014) - 2013
- [j22]Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Maks Ovsjanikov:
An Operator Approach to Tangent Vector Field Processing. Comput. Graph. Forum 32(5): 73-82 (2013) - [j21]Maks Ovsjanikov, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas:
Analysis and Visualization of Maps Between Shapes. Comput. Graph. Forum 32(6): 135-145 (2013) - [j20]Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot
, Primoz Skraba:
Persistence-Based Clustering in Riemannian Manifolds. J. ACM 60(6): 41:1-41:38 (2013) - [j19]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): 72:1-72:12 (2013) - [c17]Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel:
Deconvolution for the Wasserstein Metric and Geometric Inference. GSI 2013: 561-568 - [c16]Frédéric Chazal, Steve Y. Oudot
:
Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis. GSI 2013: 587-592 - [i10]Frédéric Chazal, Jian Sun:
Gromov-Hausdorff Approximation of Metric Spaces with Linear Structure. CoRR abs/1305.1172 (2013) - [i9]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Optimal rates of convergence for persistence diagrams in Topological Data Analysis. CoRR abs/1305.6239 (2013) - [i8]Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy:
Efficient and Robust Topological Data Analysis on Metric Spaces. CoRR abs/1306.0039 (2013) - [i7]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
On the Bootstrap for Persistence Diagrams and Landscapes. CoRR abs/1311.0376 (2013) - [i6]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic Convergence of Persistence Landscapes and Silhouettes. CoRR abs/1312.0308 (2013) - 2012
- [j18]Frédéric Chazal, Primoz Skraba, Amit Patel:
Computing well diagrams for vector fields on Rn. Appl. Math. Lett. 25(11): 1725-1728 (2012) - [j17]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): 305-326 (2012) - [i5]Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Oudot:
The structure and stability of persistence modules. CoRR abs/1207.3674 (2012) - [i4]Frédéric Chazal, Vin de Silva, Steve Oudot:
Persistence stability for geometric complexes. CoRR abs/1207.3885 (2012) - 2011
- [j16]Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot
, Primoz Skraba:
Scalar Field Analysis over Point Cloud Data. Discret. Comput. Geom. 46(4): 743-775 (2011) - [j15]Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot:
Geometric Inference for Probability Measures. Found. Comput. Math. 11(6): 733-751 (2011) - [c15]Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov:
Metric graph reconstruction from noisy data. SCG 2011: 37-46 - [c14]Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot
, Primoz Skraba:
Persistence-based clustering in riemannian manifolds. SCG 2011: 97-106 - [c13]Frédéric Chazal, Daniel Chen, Leonidas J. Guibas, Xiaoye Jiang, Christian Sommer:
Data-driven trajectory smoothing. GIS 2011: 251-260 - 2010
- [j14]Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot:
Boundary Measures for Geometric Inference. Found. Comput. Math. 10(2): 221-240 (2010) - [j13]Frédéric Chazal, André Lieutier, Jarek Rossignac, Brian Whited:
Ball-Map: Homeomorphism between Compatible Surfaces. Int. J. Comput. Geom. Appl. 20(3): 285-306 (2010) - [c12]Primoz Skraba, Maks Ovsjanikov, Frédéric Chazal, Leonidas J. Guibas:
Persistence-based segmentation of deformable shapes. CVPR Workshops 2010: 45-52
2000 – 2009
- 2009
- [j12]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): 1393-1403 (2009) - [j11]Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert:
Stability of Curvature Measures. Comput. Graph. Forum 28(5): 1485-1496 (2009) - [j10]Frédéric Chazal, André Lieutier, N. Montana:
Discrete Critical Values: a General Framework for Silhouettes Computation. Comput. Graph. Forum 28(5): 1509-1518 (2009) - [j9]Frédéric Chazal, David Cohen-Steiner, André Lieutier:
Normal cone approximation and offset shape isotopy. Comput. Geom. 42(6-7): 566-581 (2009) - [j8]Frédéric Chazal, David Cohen-Steiner, André Lieutier:
A Sampling Theory for Compact Sets in Euclidean Space. Discret. Comput. Geom. 41(3): 461-479 (2009) - [c11]Frédéric Chazal, David Cohen-Steiner, Marc Glisse, Leonidas J. Guibas, Steve Oudot
:
Proximity of persistence modules and their diagrams. SCG 2009: 237-246 - [c10]Frédéric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba:
Analysis of scalar fields over point cloud data. SODA 2009: 1021-1030 - 2008
- [j7]Frédéric Chazal, André Lieutier:
Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees. Comput. Geom. 40(2): 156-170 (2008) - [c9]Frédéric Chazal, Steve Oudot
:
Towards persistence-based reconstruction in euclidean spaces. SCG 2008: 232-241 - [i3]Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert:
Stability of Curvature Measures. CoRR abs/0812.1390 (2008) - 2007
- [j6]Frédéric Chazal, André Lieutier:
Stability and Computation of Topological Invariants of Solids in \Bbb Rn. Discret. Comput. Geom. 37(4): 601-617 (2007) - [j5]Frédéric Chazal, André Lieutier, Jarek Rossignac:
Normal-Map between Normal-Compatible Manifolds. Int. J. Comput. Geom. Appl. 17(5): 403-421 (2007) - [c8]Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert:
Shape smoothing using double offsets. Symposium on Solid and Physical Modeling 2007: 183-192 - [i2]Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot:
Stability of boundary measures. CoRR abs/0706.2153 (2007) - [i1]Frédéric Chazal, Steve Oudot:
Towards Persistence-Based Reconstruction in Euclidean Spaces. CoRR abs/0712.2638 (2007) - 2006
- [c7]Frédéric Chazal, André Lieutier:
Topology guaranteeing manifold reconstruction using distance function to noisy data. SCG 2006: 112-118 - [c6]Frédéric Chazal, David Cohen-Steiner, André Lieutier:
A sampling theory for compact sets in Euclidean space. SCG 2006: 319-326 - 2005
- [j4]Frédéric Chazal, André Lieutier:
The "lambda-medial axis". Graph. Model. 67(4): 304-331 (2005) - [j3]Frédéric Chazal, David Cohen-Steiner:
A condition for isotopic approximation. Graph. Model. 67(5): 390-404 (2005) - [c5]Frédéric Chazal, André Lieutier:
Weak feature size and persistent homology: computing homology of solids in Rn from noisy data samples. SCG 2005: 255-262 - [c4]Frédéric Chazal, André Lieutier, Jarek Rossignac:
Projection-homeomorphic surfaces. Symposium on Solid and Physical Modeling 2005: 9-14 - 2004
- [j2]Frédéric Chazal, Véronique Maume-Deschamps, Brigitte Vallée:
Erratum to 'Dynamical Sources in Information Theory: Fundamental Intervals and Word Prefixes'. Algorithmica 38(4): 591-596 (2004) - [j1]Frédéric Chazal
, Véronique Maume-Deschamps:
Statistical properties of general Markov dynamical sources: applications to information theory. Discret. Math. Theor. Comput. Sci. 6(2): 283-314 (2004) - [c3]Frédéric Chazal, David Cohen-Steiner:
A condition for isotopic approximation. Symposium on Solid Modeling and Applications 2004: 93-99 - [c2]Frédéric Chazal, André Lieutier:
Stability and homotopy of a subset of the medial axis. Symposium on Solid Modeling and Applications 2004: 243-248 - 2003
- [c1]Frédéric Cazals, Frédéric Chazal, Thomas Lewiner:
Molecular shape analysis based upon the morse-smale complex and the connolly function. SCG 2003: 351-360
Coauthor Index
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