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2020 – today
- 2024
[j15]Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
:
Topological phase estimation method for reparameterized periodic functions. Adv. Comput. Math. 50(4): 66 (2024)- [c9]Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel:
Differentiable Mapper for Topological Optimization of Data Representation. ICML 2024 - [i12]Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel:
Differentiable Mapper For Topological Optimization Of Data Representation. CoRR abs/2402.12854 (2024) - 2023
- [c8]Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen:
Code Generation for In-Place Stencils. CGO 2023: 2-13 - [i11]Anthony Ozier-Lafontaine, Camille Fourneaux, Ghislain Durif, Céline Vallot, Olivier Gandrillon, Sandrine Giraud, Bertrand Michel, Franck Picard:
Kernel-Based Testing for Single-Cell Differential Analysis. CoRR abs/2307.08509 (2023) - [i10]Anthony Nouy, Bertrand Michel:
Weighted least-squares approximation with determinantal point processes and generalized volume sampling. CoRR abs/2312.14057 (2023) - 2022
- [j14]Mathieu Carrière, Bertrand Michel:
Statistical analysis of Mapper for stochastic and multivariate filters. J. Appl. Comput. Topol. 6(3): 331-369 (2022) - [c7]Ferruccio Damiani, Michael Lienhardt, Bruno Maugars, Bertrand Michel:
Towards a Modular and Variability-Aware Aerodynamic Simulator. The Logic of Software. A Tasting Menu of Formal Methods 2022: 147-172 - [i9]Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise:
Topological phase estimation method for reparameterized periodic functions. CoRR abs/2205.14390 (2022) - 2021
- [j13]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) - [j12]Fadoua Ben Azzouz, Bertrand Michel, Hamza Lasla, Wilfried Gouraud, Anne-Flore François, Fabien Girka, Théo Lecointre, Catherine Guérin-Charbonnel, Philippe P. Juin, Mario Campone, Pascal Jézéquel:
Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches. Comput. Biol. Medicine 129: 104171 (2021) - [j11]Frédéric Chazal, Bertrand Michel:
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers Artif. Intell. 4: 667963 (2021) - [j10]Emmanuel Caron, Jérôme Dedecker, Bertrand Michel:
Linear Regression with Stationary Errors: the R Package slm. R J. 13(1): 83 (2021)
2010 – 2019
- 2019
- [j9]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) - [c6]Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel:
Robust pedestrian trajectory reconstruction from inertial sensor. IPIN 2019: 1-8 - [i8]Mathieu Carrière, Bertrand Michel:
Approximation of Reeb spaces with Mappers and Applications to Stochastic Filters. CoRR abs/1912.10742 (2019) - 2018
- [j8]Mathieu Carrière, Bertrand Michel, Steve Oudot:
Statistical Analysis and Parameter Selection for Mapper. J. Mach. Learn. Res. 19: 12:1-12:39 (2018) - 2017
- [j7]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) - [j6]Baptiste Gregorutti, Bertrand Michel, Philippe Saint-Pierre:
Correlation and variable importance in random forests. Stat. Comput. 27(3): 659-678 (2017) - [c5]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 - [i7]Mathieu Carrière, Bertrand Michel, Steve Oudot:
Statistical Analysis and Parameter Selection for Mapper. CoRR abs/1706.00204 (2017) - [i6]Frédéric Chazal, Bertrand Michel:
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists. CoRR abs/1710.04019 (2017) - 2016
- [c4]Frédéric Chazal, Ilaria Giulini, Bertrand Michel:
Data driven estimation of Laplace-Beltrami operator. NIPS 2016: 3963-3971 - [i5]Frédéric Chazal, Ilaria Giulini, Bertrand Michel:
Data driven estimation of Laplace-Beltrami operator. CoRR abs/1612.09434 (2016) - 2015
- [b1]Bertrand Michel:
A Statistical Approach to Topological Data Analysis. Pierre and Marie Curie University, Paris, France, 2015 - [j5]Baptiste Gregorutti, Bertrand Michel, Philippe Saint-Pierre:
Grouped variable importance with random forests and application to multiple functional data analysis. Comput. Stat. Data Anal. 90: 15-35 (2015) - [j4]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) - [c3]Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. ICML 2015: 2143-2151 - [i4]Frédéric Chazal, Pascal Massart, Bertrand Michel:
Rates of convergence for robust geometric inference. CoRR abs/1505.07602 (2015) - 2014
- [c2]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Convergence rates for persistence diagram estimation in Topological Data Analysis. ICML 2014: 163-171 - [i3]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. CoRR abs/1406.1901 (2014) - [i2]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
- [j3]Jérôme Dedecker, Bertrand Michel:
Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension. J. Multivar. Anal. 122: 278-291 (2013) - [c1]Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel:
Deconvolution for the Wasserstein Metric and Geometric Inference. GSI 2013: 561-568 - [i1]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Optimal rates of convergence for persistence diagrams in Topological Data Analysis. CoRR abs/1305.6239 (2013) - 2012
- [j2]Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel:
Slope heuristics: overview and implementation. Stat. Comput. 22(2): 455-470 (2012) - 2011
- [j1]Claire Caillerie, Bertrand Michel:
Model Selection for Simplicial Approximation. Found. Comput. Math. 11(6): 707-731 (2011)
Coauthor Index
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