Mathieu Carrière
Mathieu Carrière
Inria Sophia Antipolis
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Zitiert von
Zitiert von
Sliced Wasserstein Kernel for Persistence Diagrams
M Carrière, M Cuturi, S Oudot
Proceedings of the 34th International Conference on Machine Learning, 664-673, 2017
Stable Topological Signatures for Points on 3D Shapes
M Carrière, S Oudot, M Ovsjanikov
Computer Graphics Forum 34 (5), 1-12, 2015
Structure and Stability of the One-dimensional Mapper
M Carrière, S Oudot
Foundations of Computational Mathematics 18 (6), 1-64, 2017
Statistical Analysis and Parameter Selection for Mapper
M Carrière, B Michel, S Oudot
Journal of Machine Learning Research 19 (1), 478-516, 2018
PersLay: a neural network layer for persistence diagrams and new graph topological signatures
M Carrière, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda
International Conference on Artificial Intelligence and Statistics, 2786-2796, 2020
Local Equivalence and Intrinsic Metrics between Reeb Graphs
M Carrière, S Oudot
Proceedings of the International Symposium on Computational Geometry 77, 2017
On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces
M Carrière, U Bauer
Proceedings of the International Symposium on Computational Geometry, 2018
Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis
R Jeitziner, M Carrière, J Rougemont, S Oudot, K Hess, C Brisken
Bioinformatics, 2019
Local Signatures using Persistence Diagrams
M Carrière, S Oudot, M Ovsjanikov
Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study
A Aukerman, M Carrière, C Chen, K Gardner, R Rabadán, R Vanguri
36th International Symposium on Computational Geometry (SoCG 2020), 2020
Multiparameter persistence image for topological machine learning
M Carrière, A Blumberg
Advances in Neural Information Processing Systems 33, 2020
Topological Data Analysis of Single-cell Hi-C Contact Maps
M Carrière, R Rabadan
Abel Symposium, 2018
CGAL 2D Hyperbolic Delaunay Triangulations
M Bogdanov, I Iordanov, M Teillaud, M Bogdanov, A Pellé, ...
CGAL Editorial Board, 2019
MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
AJ Blumberg, M Carriere, MA Mandell, R Rabadan, S Villar
arXiv preprint arXiv:2001.01666, 2020
A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects
M Carriere, F Chazal, M Glisse, Y Ike, H Kannan
arXiv preprint arXiv:2010.08356, 2020
Approximation of Reeb spaces with Mappers and applications to stochastic filters
M Carrière, B Michel
arXiv preprint arXiv:1912.10742, 2019
Optimizing persistent homology based functions
M Carriere, F Chazal, M Glisse, Y Ike, H Kannan
On Metric and Statistical Properties of Topological Descriptors for Geometric Data
M Carrière
Université Paris-Saclay, 2017
On metric and statistical properties of topological descriptors for geometric data.(Sur les propriétés métriques et statistiques des descripteurs topologiques pour les données …
M Carrière
Supplementary Material for" Multiparameter Persistence Image for Topological Machine Learning
M Carrière, F Biot, AJ Blumberg
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