Bertrand Michel

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 23

Top Topics

Parameter Selection

Machine Learning

Top Venues

J. Mach. Learn. Res.

Publications

Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
Topological phase estimation method for reparameterized periodic functions. Adv. Comput. Math. 50 (4) (2024)
Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel
Differentiable Mapper For Topological Optimization Of Data Representation. CoRR (2024)
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 (2023)
Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen
Code Generation for In-Place Stencils. CGO (2023)
Anthony Nouy, Bertrand Michel
Weighted least-squares approximation with determinantal point processes and generalized volume sampling. CoRR (2023)
Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
Topological phase estimation method for reparameterized periodic functions. CoRR (2022)
Mathieu Carrière, Bertrand Michel
Statistical analysis of Mapper for stochastic and multivariate filters. J. Appl. Comput. Topol. 6 (3) (2022)
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)
Emmanuel Caron, Jérôme Dedecker, Bertrand Michel
Linear Regression with Stationary Errors: the R Package slm. R J. 13 (1) (2021)
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) (2021)
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 (2021)
Frédéric Chazal, Bertrand Michel
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers Artif. Intell. 4 (2021)
Mathieu Carrière, Bertrand Michel
Approximation of Reeb spaces with Mappers and Applications to Stochastic Filters. CoRR (2019)
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) (2019)
Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Robust pedestrian trajectory reconstruction from inertial sensor. IPIN (2019)
Mathieu Carrière, Bertrand Michel, Steve Oudot
Statistical Analysis and Parameter Selection for Mapper. J. Mach. Learn. Res. 19 (2018)
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 (2017)
Frédéric Chazal, Bertrand Michel
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists. CoRR (2017)
Mathieu Carrière, Bertrand Michel, Steve Oudot
Statistical Analysis and Parameter Selection for Mapper. CoRR (2017)
Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. IPIN (2017)
Baptiste Gregorutti, Bertrand Michel, Philippe Saint-Pierre
Correlation and variable importance in random forests. Stat. Comput. 27 (3) (2017)
Frédéric Chazal, Ilaria Giulini, Bertrand Michel
Data driven estimation of Laplace-Beltrami operator. NIPS (2016)
Frédéric Chazal, Ilaria Giulini, Bertrand Michel
Data driven estimation of Laplace-Beltrami operator. CoRR (2016)
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Subsampling Methods for Persistent Homology. ICML (2015)
Frédéric Chazal, Pascal Massart, Bertrand Michel
Rates of convergence for robust geometric inference. CoRR (2015)
Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
Convergence rates for persistence diagram estimation in topological data analysis. J. Mach. Learn. Res. 16 (2015)
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 (2015)
Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
Convergence rates for persistence diagram estimation in Topological Data Analysis. ICML (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Subsampling Methods for Persistent Homology. CoRR (2014)
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 (2014)
Jérôme Dedecker, Bertrand Michel
Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension. J. Multivar. Anal. 122 (2013)
Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel
Deconvolution for the Wasserstein Metric and Geometric Inference. GSI (2013)
Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel
Optimal rates of convergence for persistence diagrams in Topological Data Analysis CoRR (2013)
Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel
Slope heuristics: overview and implementation. Stat. Comput. 22 (2) (2012)
Claire Caillerie, Bertrand Michel
Model Selection for Simplicial Approximation. Found. Comput. Math. 11 (6) (2011)