Jérémie Bigot

32 papers Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kantorovich Distance via Spanning Trees: Properties and Algorithms. CoRR Jérémie Bigot, Luis Fredes
2026	J	`jnl`	PCA of probability measures: Sparse and Dense sampling regimes. CoRR Erell Gachon, Jérémie Bigot, Elsa Cazelles
2025	J	`jnl`	High-dimensional ridge regression with random features for non-identically distributed data with a variance profile. CoRR Issa-Mbenard Dabo, Jérémie Bigot
2025	J	`jnl`	Online graph topology learning from matrix-valued time series. Comput. Stat. Data Anal. Yiye Jiang, Jérémie Bigot, Sofian Maabout
2025	J	`jnl`	Scalable and consistent embedding of probability measures into Hilbert spaces via measure quantization. CoRR Erell Gachon, Elsa Cazelles, Jérémie Bigot
2025	J	`jnl`	Stochastic Adaptive Gradient Descent Without Descent. CoRR Jean-François Aujol, Jérémie Bigot, Camille Castera
2025	J	`jnl`	Stochastic Optimal Transport in Banach Spaces for Regularized Estimation of Multivariate Quantiles. SIAM J. Math. Data Sci. Bernard Bercu, Jérémie Bigot, Gauthier Thurin
2024	J	`jnl`	Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors. J. Mach. Learn. Res. Louis Capitaine, Jérémie Bigot, Rodolphe Thiébaut, Robin Genuer
2024	J	`jnl`	Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia. CoRR Erell Gachon, Jérémie Bigot, Elsa Cazelles, Aguirre Mimoun, Jean-Philippe Vial
2022	J	`jnl`	Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation. Comput. Stat. Data Anal. Jérémie Bigot, Charles Deledalle
2021	J	`jnl`	Online Graph Topology Learning from Matrix-valued Time Series. CoRR Yiye Jiang, Jérémie Bigot, Sofian Maabout
2020	J	`jnl`	Sensor selection on graphs via data-driven node sub-sampling in network time series. CoRR Yiye Jiang, Jérémie Bigot, Sofian Maabout
2019	J	`jnl`	Penalization of Barycenters in the Wasserstein Space. SIAM J. Math. Anal. Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
2019	—	`conf`	Toeplitz Hermitian Positive Definite Matrix Machine Learning Based on Fisher Metric. GSI Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon, Jérémie Bigot
2018	J	`jnl`	Data-Oriented Algorithm for Real-Time Estimation of Flow Rates and Flow Directions in a Water Distribution Network. CoRR Christophe Dumora, David Auber, Jérémie Bigot, Vincent Couallier, Cyril Leclerc
2018	J	`jnl`	Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. SIAM J. Sci. Comput. Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis
2017	J	`jnl`	Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising. J. Mach. Learn. Res. Jérémie Bigot, Charles Deledalle, Delphine Féral
2017	—	`conf`	Regularized Barycenters in the Wasserstein Space. GSI Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis
2016	J	`jnl`	An Analysis of Block Sampling Strategies in Compressed Sensing. IEEE Trans. Inf. Theory Jérémie Bigot, Claire Boyer, Pierre Weiss
2016	J	`jnl`	Estimation of linear operators from scattered impulse responses. CoRR Jérémie Bigot, Paul Escande, Pierre Weiss
2015	J	`jnl`	Compressed sensing with structured sparsity and structured acquisition. CoRR Claire Boyer, Jérémie Bigot, Pierre Weiss
2014	J	`jnl`	An Algorithm for Variable Density Sampling with Block-Constrained Acquisition. SIAM J. Imaging Sci. Claire Boyer, Pierre Weiss, Jérémie Bigot
2013	J	`jnl`	An algorithm for variable density sampling with block-constrained acquisition. CoRR Claire Boyer, Pierre Weiss, Jérémie Bigot
2013	J	`jnl`	An analysis of block sampling strategies in compressed sensing CoRR Jérémie Bigot, Claire Boyer, Pierre Weiss
2013	J	`jnl`	Geometric PCA of Images. SIAM J. Imaging Sci. Jérémie Bigot, Raúl Gouet, Alfredo López
2012	J	`jnl`	Random Action of Compact Lie Groups and Minimax Estimation of a Mean Pattern. IEEE Trans. Inf. Theory Jérémie Bigot, Claire Christophe, Sébastien Gadat
2011	J	`jnl`	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 Jérémie Bigot, Marieke Longcamp, Fabien Dal Maso, David Amarantini
2011	J	`jnl`	Group Lasso Estimation of High-dimensional Covariance Matrices. J. Mach. Learn. Res. Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lilian Muñiz-Alvarez
2010	J	`jnl`	Smoothing under Diffeomorphic Constraints with Homeomorphic Splines. SIAM J. Numer. Anal. Jérémie Bigot, Sébastien Gadat
2009	J	`jnl`	Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier--Mellin Transform. SIAM J. Imaging Sci. Jérémie Bigot, Fabrice Gamboa, Myriam Vimond
2009	J	`jnl`	Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping. J. Math. Imaging Vis. Jérémie Bigot, Sébastien Gadat, Jean-Michel Loubes
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