Jérémie Bigot

According to our database, Jérémie Bigot authored at least 22 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Online graph topology learning from matrix-valued time series.

Yiye Jiang, Jérémie Bigot, Sofian Maabout

Comput. Stat. Data Anal., 2025

2024

Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia.

Erell Gachon, Jérémie Bigot, Elsa Cazelles, Aguirre Mimoun, Jean-Philippe Vial

CoRR, 2024

2022

Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation.

Jérémie Bigot, Charles Deledalle

Comput. Stat. Data Anal., 2022

2020

Sensor selection on graphs via data-driven node sub-sampling in network time series.

Yiye Jiang, Jérémie Bigot, Sofian Maabout

CoRR, 2020

2019

Penalization of Barycenters in the Wasserstein Space.

Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis

SIAM J. Math. Anal., 2019

Toeplitz Hermitian Positive Definite Matrix Machine Learning Based on Fisher Metric.

Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon, Jérémie Bigot

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018

Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space.

Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis

SIAM J. Sci. Comput., 2018

Data-Oriented Algorithm for Real-Time Estimation of Flow Rates and Flow Directions in a Water Distribution Network.

Christophe Dumora, David Auber, Jérémie Bigot, Vincent Couallier, Cyril Leclerc

CoRR, 2018

2017

Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising.

Jérémie Bigot, Charles Deledalle, Delphine Féral

J. Mach. Learn. Res., 2017

Regularized Barycenters in the Wasserstein Space.

Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis

Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016

An Analysis of Block Sampling Strategies in Compressed Sensing.

Jérémie Bigot, Claire Boyer, Pierre Weiss

IEEE Trans. Inf. Theory, 2016

Estimation of linear operators from scattered impulse responses.

Jérémie Bigot, Paul Escande, Pierre Weiss

CoRR, 2016

2015

Compressed sensing with structured sparsity and structured acquisition.

Claire Boyer, Jérémie Bigot, Pierre Weiss

CoRR, 2015

2014

An Algorithm for Variable Density Sampling with Block-Constrained Acquisition.

Claire Boyer, Pierre Weiss, Jérémie Bigot

SIAM J. Imaging Sci., 2014

2013

Geometric PCA of Images.

Jérémie Bigot, Raúl Gouet, Alfredo López

SIAM J. Imaging Sci., 2013

2012

Random Action of Compact Lie Groups and Minimax Estimation of a Mean Pattern.

Jérémie Bigot, Claire Christophe, Sébastien Gadat

IEEE Trans. Inf. Theory, 2012

2011

A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions.

Jérémie Bigot, Marieke Longcamp, Fabien Dal Maso, David Amarantini

NeuroImage, 2011

Group Lasso Estimation of High-dimensional Covariance Matrices.

Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lilian Muñiz-Alvarez

J. Mach. Learn. Res., 2011

2010

Smoothing under Diffeomorphic Constraints with Homeomorphic Splines.

Jérémie Bigot, Sébastien Gadat

SIAM J. Numer. Anal., 2010

2009

Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier--Mellin Transform.

Jérémie Bigot, Fabrice Gamboa, Myriam Vimond

SIAM J. Imaging Sci., 2009

Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping.

Jérémie Bigot, Sébastien Gadat, Jean-Michel Loubes

J. Math. Imaging Vis., 2009

2003

Recalage de signaux et analyse de variance fonctionnelle par ondelettes. Applications au domaine biomédical. (Landmark-based registration and functional analysis of variance with wavelets).

Jérémie Bigot

PhD thesis, 2003