Model Selection for Simplicial Approximation. - Claire Caillerie; Bertrand Michel (Found. Comput. Math., 2011)

Slope heuristics: overview and implementation. - Jean-Patrick Baudry; Cathy Maugis; Bertrand Michel (Stat. Comput., 2012)

Deconvolution for the Wasserstein Metric and Geometric Inference. - Claire Caillerie; Frédéric Chazal; Jérôme Dedecker; Bertrand Michel (GSI, 2013)

Optimal rates of convergence for persistence diagrams in Topological Data Analysis - Frédéric Chazal; Marc Glisse; Catherine Labruère; Bertrand Michel (CoRR, 2013)

Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension. - Jérôme Dedecker; Bertrand Michel (J. Multivar. Anal., 2013)

A Statistical Approach to Topological Data Analysis. - Bertrand Michel (2015)

Subsampling Methods for Persistent Homology. - Frédéric Chazal; Brittany Terese Fasy; Fabrizio Lecci; Bertrand Michel; Alessandro Rinaldo; Larry A. Wasserman (ICML, 2015)

Rates of convergence for robust geometric inference. - Frédéric Chazal; Pascal Massart; Bertrand Michel (CoRR, 2015)

Grouped variable importance with random forests and application to multiple functional data analysis. - Baptiste Gregorutti; Bertrand Michel; Philippe Saint-Pierre (Comput. Stat. Data Anal., 2015)

Convergence rates for persistence diagram estimation in topological data analysis. - Frédéric Chazal; Marc Glisse; Catherine Labruère; Bertrand Michel (J. Mach. Learn. Res., 2015)

Data driven estimation of Laplace-Beltrami operator. - Frédéric Chazal; Ilaria Giulini; Bertrand Michel (NIPS, 2016)

Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. - Bertrand Beaufils; Frédéric Chazal; Marc Grelet; Bertrand Michel (IPIN, 2017)

Robust Topological Inference: Distance To a Measure and Kernel Distance. - Frédéric Chazal; Brittany Terese Fasy; Fabrizio Lecci; Bertrand Michel; Alessandro Rinaldo; Larry A. Wasserman (J. Mach. Learn. Res., 2017)

Correlation and variable importance in random forests. - Baptiste Gregorutti; Bertrand Michel; Philippe Saint-Pierre (Stat. Comput., 2017)

Statistical Analysis and Parameter Selection for Mapper. - Mathieu Carrière; Bertrand Michel; Steve Oudot (J. Mach. Learn. Res., 2018)

Robust pedestrian trajectory reconstruction from inertial sensor. - Bertrand Beaufils; Frédéric Chazal; Marc Grelet; Bertrand Michel (IPIN, 2019)

Approximation of Reeb spaces with Mappers and Applications to Stochastic Filters. - Mathieu Carrière; Bertrand Michel (CoRR, 2019)

Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches. - Bertrand Beaufils; Frédéric Chazal; Marc Grelet; Bertrand Michel (Sensors, 2019)

Identifying homogeneous subgroups of patients and important features: a topological machine learning approach. - Ewan Carr; Mathieu Carrière; Bertrand Michel; Frédéric Chazal; Raquel Iniesta (BMC Bioinform., 2021)

Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches. - 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 (Comput. Biol. Medicine, 2021)

An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. - Frédéric Chazal; Bertrand Michel (Frontiers Artif. Intell., 2021)

Linear Regression with Stationary Errors: the R Package slm. - Emmanuel Caron; Jérôme Dedecker; Bertrand Michel (R J., 2021)

Towards a Modular and Variability-Aware Aerodynamic Simulator. - Ferruccio Damiani; Michael Lienhardt; Bruno Maugars; Bertrand Michel (The Logic of Software. A Tasting Menu of Formal Methods, 2022)

Statistical analysis of Mapper for stochastic and multivariate filters. - Mathieu Carrière; Bertrand Michel (J. Appl. Comput. Topol., 2022)

Code Generation for In-Place Stencils. - Mohamed Essadki; Bertrand Michel; Bruno Maugars; Oleksandr Zinenko; Nicolas Vasilache; Albert Cohen 001 (CGO, 2023)

Kernel-Based Testing for Single-Cell Differential Analysis. - Anthony Ozier-Lafontaine; Camille Fourneaux; Ghislain Durif; Céline Vallot; Olivier Gandrillon; Sandrine Giraud; Bertrand Michel; Franck Picard (CoRR, 2023)

Weighted least-squares approximation with determinantal point processes and generalized volume sampling. - Anthony Nouy; Bertrand Michel (CoRR, 2023)

Differentiable Mapper for Topological Optimization of Data Representation. - Ziyad Oulhaj; Mathieu Carrière; Bertrand Michel (ICML, 2024)

Topological phase estimation method for reparameterized periodic functions. - Thomas Bonis; Frédéric Chazal; Bertrand Michel; Wojciech Reise (Adv. Comput. Math., 2024)