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ORCIDJérémie Bigot
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Books and Theses
- 2003
[b1]Jérémie Bigot:
Recalage de signaux et analyse de variance fonctionnelle par ondelettes. Applications au domaine biomédical. (Landmark-based registration and functional analysis of variance with wavelets). Joseph Fourier University, Grenoble, France, 2003
Journal Articles
- 2025
- [j14]Yiye Jiang
, Jérémie Bigot, Sofian Maabout:
Online graph topology learning from matrix-valued time series. Comput. Stat. Data Anal. 202: 108065 (2025) - 2022
- [j13]Jérémie Bigot, Charles Deledalle:
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation. Comput. Stat. Data Anal. 169: 107423 (2022) - 2019
- [j12]Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis:
Penalization of Barycenters in the Wasserstein Space. SIAM J. Math. Anal. 51(3): 2261-2285 (2019) - 2018
- [j11]Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis:
Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. SIAM J. Sci. Comput. 40(2) (2018) - 2017
- [j10]Jérémie Bigot, Charles Deledalle, Delphine Féral:
Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising. J. Mach. Learn. Res. 18: 137:1-137:50 (2017) - 2016
- [j9]Jérémie Bigot, Claire Boyer, Pierre Weiss:
An Analysis of Block Sampling Strategies in Compressed Sensing. IEEE Trans. Inf. Theory 62(4): 2125-2139 (2016) - 2014
- [j8]Claire Boyer, Pierre Weiss, Jérémie Bigot:
An Algorithm for Variable Density Sampling with Block-Constrained Acquisition. SIAM J. Imaging Sci. 7(2): 1080-1107 (2014) - 2013
- [j7]Jérémie Bigot, Raúl Gouet, Alfredo López:
Geometric PCA of Images. SIAM J. Imaging Sci. 6(4): 1851-1879 (2013) - 2012
- [j6]Jérémie Bigot, Claire Christophe, Sébastien Gadat:
Random Action of Compact Lie Groups and Minimax Estimation of a Mean Pattern. IEEE Trans. Inf. Theory 58(6): 3509-3520 (2012) - 2011
- [j5]Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lilian Muñiz-Alvarez:
Group Lasso Estimation of High-dimensional Covariance Matrices. J. Mach. Learn. Res. 12: 3187-3225 (2011) - [j4]Jérémie Bigot, Marieke Longcamp, Fabien Dal Maso, David Amarantini:
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. NeuroImage 55(4): 1504-1518 (2011) - 2010
- [j3]Jérémie Bigot, Sébastien Gadat:
Smoothing under Diffeomorphic Constraints with Homeomorphic Splines. SIAM J. Numer. Anal. 48(1): 224-243 (2010) - 2009
- [j2]Jérémie Bigot, Sébastien Gadat, Jean-Michel Loubes:
Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping. J. Math. Imaging Vis. 34(3): 270-290 (2009) - [j1]Jérémie Bigot, Fabrice Gamboa, Myriam Vimond:
Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier--Mellin Transform. SIAM J. Imaging Sci. 2(2): 614-645 (2009)
Conference and Workshop Papers
- 2019
- [c2]Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon, Jérémie Bigot:
Toeplitz Hermitian Positive Definite Matrix Machine Learning Based on Fisher Metric. GSI 2019: 261-270 - 2017
- [c1]Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis:
Regularized Barycenters in the Wasserstein Space. GSI 2017: 83-90
Informal and Other Publications
- 2024
- [i8]Erell Gachon, Jérémie Bigot, Elsa Cazelles, Aguirre Mimoun, Jean-Philippe Vial:
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia. CoRR abs/2407.17329 (2024) - 2021
- [i7]Yiye Jiang, Jérémie Bigot, Sofian Maabout:
Online Graph Topology Learning from Matrix-valued Time Series. CoRR abs/2107.08020 (2021) - 2020
- [i6]Yiye Jiang, Jérémie Bigot, Sofian Maabout:
Sensor selection on graphs via data-driven node sub-sampling in network time series. CoRR abs/2004.11815 (2020) - 2018
- [i5]Christophe Dumora, David Auber, Jérémie Bigot, Vincent Couallier, Cyril Leclerc:
Data-Oriented Algorithm for Real-Time Estimation of Flow Rates and Flow Directions in a Water Distribution Network. CoRR abs/1807.10147 (2018) - 2016
- [i4]Jérémie Bigot, Paul Escande, Pierre Weiss:
Estimation of linear operators from scattered impulse responses. CoRR abs/1610.04056 (2016) - 2015
- [i3]Claire Boyer, Jérémie Bigot, Pierre Weiss:
Compressed sensing with structured sparsity and structured acquisition. CoRR abs/1505.01619 (2015) - 2013
- [i2]Jérémie Bigot, Claire Boyer, Pierre Weiss:
An analysis of block sampling strategies in compressed sensing. CoRR abs/1305.4446 (2013) - [i1]Claire Boyer, Pierre Weiss, Jérémie Bigot:
An algorithm for variable density sampling with block-constrained acquisition. CoRR abs/1310.4393 (2013)
Coauthor Index
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