Bertrand Michel

According to our database, Bertrand Michel authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Topological phase estimation method for reparameterized periodic functions.

Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise

Adv. Comput. Math., August, 2024

Differentiable Mapper for Topological Optimization of Data Representation.

Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Weighted least-squares approximation with determinantal point processes and generalized volume sampling.

Anthony Nouy, Bertrand Michel

CoRR, 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

Code Generation for In-Place Stencils.

Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

2022

Statistical analysis of Mapper for stochastic and multivariate filters.

Mathieu Carrière, Bertrand Michel

J. Appl. Comput. Topol., 2022

Towards a Modular and Variability-Aware Aerodynamic Simulator.

Ferruccio Damiani, Michael Lienhardt, Bruno Maugars, Bertrand Michel

Proceedings of the Logic of Software. A Tasting Menu of Formal Methods, 2022

2021

Linear Regression with Stationary Errors: the R Package slm.

Emmanuel Caron, Jérôme Dedecker, Bertrand Michel

R J., 2021

An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists.

Frédéric Chazal, Bertrand Michel

Frontiers Artif. Intell., 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

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

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

Approximation of Reeb spaces with Mappers and Applications to Stochastic Filters.

Mathieu Carrière, Bertrand Michel

CoRR, 2019

Robust pedestrian trajectory reconstruction from inertial sensor.

Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel

Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

2018

Statistical Analysis and Parameter Selection for Mapper.

Mathieu Carrière, Bertrand Michel, Steve Oudot

J. Mach. Learn. Res., 2018

2017

Correlation and variable importance in random forests.

Baptiste Gregorutti, Bertrand Michel, Philippe Saint-Pierre

Stat. Comput., 2017

Robust Topological Inference: Distance To a Measure and Kernel Distance.

Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman

J. Mach. Learn. Res., 2017

Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns.

Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel

Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

2016

Data driven estimation of Laplace-Beltrami operator.

Frédéric Chazal, Ilaria Giulini, Bertrand Michel

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Convergence rates for persistence diagram estimation in topological data analysis.

Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel

J. Mach. Learn. Res., 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

Rates of convergence for robust geometric inference.

Frédéric Chazal, Pascal Massart, Bertrand Michel

CoRR, 2015

Subsampling Methods for Persistent Homology.

Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Statistical Approach to Topological Data Analysis.

Bertrand Michel

, 2015

2013

Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension.

Jérôme Dedecker, Bertrand Michel

J. Multivar. Anal., 2013

Optimal rates of convergence for persistence diagrams in Topological Data Analysis

Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel

CoRR, 2013

Deconvolution for the Wasserstein Metric and Geometric Inference.

Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel

Proceedings of the Geometric Science of Information - First International Conference, 2013

2012

Slope heuristics: overview and implementation.

Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel

Stat. Comput., 2012

2011

Model Selection for Simplicial Approximation.

Claire Caillerie, Bertrand Michel

Found. Comput. Math., 2011