Enhanced Source Separation by Morphological Component Analysis. - Jérôme Bobin; Yassir Moudden; Jean-Luc Starck (ICASSP (5), 2006)

Morphological diversity and source separation. - Jérôme Bobin; Yassir Moudden; Jean-Luc Starck; Michael Elad (IEEE Signal Process. Lett., 2006)

Morphological Diversity and Sparsity in Blind Source Separation. - Jérôme Bobin; Yassir Moudden; Jalal Fadili; Jean-Luc Starck (ICA, 2007)

Sparsity and Morphological Diversity in Blind Source Separation. - Jérôme Bobin; Jean-Luc Starck; Jalal Fadili; Yassir Moudden (IEEE Trans. Image Process., 2007)

Morphological Component Analysis: An Adaptive Thresholding Strategy. - Jérôme Bobin; Jean-Luc Starck; Jalal Fadili; Yassir Moudden; David L. Donoho (IEEE Trans. Image Process., 2007)

Compressed Sensing in Astronomy. - Jérôme Bobin; Jean-Luc Starck; Roland Ottensamer (IEEE J. Sel. Top. Signal Process., 2008)

A fast and accurate first-order algorithm for compressed sensing. - Jérôme Bobin; Emmanuel J. Candès (ICIP, 2009)

Sparsity and morphological diversity for hyperspectral data analysis. - Jérôme Bobin; Yassir Moudden; Jean-Luc Starck; Mohamed-Jalal Fadili (ICIP, 2009)

Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. - Yassir Moudden; Jérôme Bobin; Jean-Luc Starck; Jalal Fadili (ICA, 2009)

Morphological Diversity and Sparsity for Multichannel Data Restoration. - Jérôme Bobin; Yassir Moudden; Jalal Fadili; Jean-Luc Starck (J. Math. Imaging Vis., 2009)

Image Decomposition and Separation Using Sparse Representations: An Overview. - Mohamed-Jalal Fadili; Jean-Luc Starck; Jérôme Bobin; Yassir Moudden (Proc. IEEE, 2010)

Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing. - Jean-Luc Starck; Jérôme Bobin (Proc. IEEE, 2010)

Source separation in cosmology, from global to local models. - Jérôme Bobin; Florent Sureau; Jean-Luc Starck (ICIP, 2011)

NESTA: A Fast and Accurate First-Order Method for Sparse Recovery. - Stephen Becker; Jérôme Bobin; Emmanuel J. Candès (SIAM J. Imaging Sci., 2011)

Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints. - Yassir Moudden; Jérôme Bobin (IEEE Trans. Image Process., 2011)

Sparse redundant formulations and non-negativity in Blind Source Separation. - Jérémy Rapin; Jérôme Bobin; Anthony Larue; Jean-Luc Starck (EUSIPCO, 2013)

Hyperspectral fluorescence microscopy based on Compressive Sampling. - Makhlad Chahid; Jérôme Bobin; Hamed Shams Mousavi; Emmanuel J. Candès; Maxime Dahan; Vincent Studer (CoRR, 2013)

Sparse and Non-Negative BSS for Noisy Data. - Jérémy Rapin; Jérôme Bobin; Anthony Larue; Jean-Luc Starck (IEEE Trans. Signal Process., 2013)

Sparse blind source separation for partially correlated sources. - Jérôme Bobin; Jean-Luc Starck; Jérémy Rapin; Anthony Larue (ICIP, 2014)

Blind source separation based anomaly detection in multi-spectral images. - Saima Ben Hadf; Jérôme Bobin; Arnaud Woiselle (ICIP, 2014)

NMF with Sparse Regularizations in Transformed Domains. - Jérémy Rapin; Jérôme Bobin; Anthony Larue; Jean-Luc Starck (SIAM J. Imaging Sci., 2014)

Robust Sparse Blind Source Separation. - Cecile Chenot; Jérôme Bobin; Jérémy Rapin (IEEE Signal Process. Lett., 2015)

Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources. - Jérôme Bobin; Jérémy Rapin; Anthony Larue; Jean-Luc Starck (IEEE Trans. Signal Process., 2015)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Application of non-negative matrix factorization to LC/MS data. - Jérémy Rapin; Antoine Souloumiac; Jérôme Bobin; Anthony Larue; Christophe Junot; Minale Ouethrani; Jean-Luc Starck (Signal Process., 2016)

BSS with Corrupted Data in Transformed Domains. - Cécile Chenot; Jérôme Bobin (LVA/ICA, 2017)

Two-pixel polarimetric camera by compressive sensing. - Julien Fade; Estéban Perrotin; Jérôme Bobin (CoRR, 2017)

Joint Multichannel Deconvolution and Blind Source Separation. - Ming Jiang; Jérôme Bobin; Jean-Luc Starck (SIAM J. Imaging Sci., 2017)

Blind separation of sparse sources in the presence of outliers. - Cécile Chenot; Jérôme Bobin (Signal Process., 2017)

Dictionary Learning for Photometric Redshift Estimation. - Joana Frontera-Pons; Florent Sureau; Bruno Moraes; Jérôme Bobin; Filipe B. Abdalla; Jean-Luc Starck (EUSIPCO, 2018)

Heuristics for Efficient Sparse Blind Source Separation. - Christophe Kervazo; Jérôme Bobin; Cecile Chenot (EUSIPCO, 2018)

Sparse component separation from Poisson measurements. - Imane El Hamzaoui; Jérôme Bobin (CoRR, 2018)

Blind Source Separation with Outliers in Transformed Domains. - Cécile Chenot; Jérôme Bobin (SIAM J. Imaging Sci., 2018)

Blind separation of a large number of sparse sources. - Christophe Kervazo; Jérôme Bobin; Cecile Chenot (Signal Process., 2018)

Metric Learning for Semi-Supervised Sparse Source Separation with Spectral Examples. - Jérôme Bobin; Fabio Acero; Adrien Picquenot (CAMSAP, 2019)

Use of PALM for ℓ1 sparse matrix factorization: Difficulty and rationalization of a two-step approach. - Christophe Kervazo; Jérôme Bobin; Cécile Chenot; Florent Sureau (Digit. Signal Process., 2020)

Faster and better sparse blind source separation through mini-batch optimization. - Christophe Kervazo; Tobías I. Liaudat; Jérôme Bobin (Digit. Signal Process., 2020)

Sparse BSS From Poisson Measurements. - Jérôme Bobin; Imane El Hamzaoui; Adrien Picquenot; Fabio Acero (IEEE Trans. Image Process., 2020)

Joint deconvolution and unsupervised source separation for data on the sphere. - Rémi Carloni Gertosio; Jérôme Bobin (Digit. Signal Process., 2021)

Unrolling PALM for Sparse Semi-Blind Source Separation. - Mohammad Fahes; Christophe Kervazo; Jérôme Bobin; Florence Tupin (ICLR, 2022)

Blind Source Separation with Non-Coplanar Interferometric Data. - Rémi Carloni Gertosio; Jérôme Bobin (SAM, 2022)

Sushi: Learning-Based Hyperspectral Image Unmixing with Spectral Variabilities. - Julia Lascar; Jérôme Bobin; Fabio Acero (WHISPERS, 2023)

Semi-Blind Source Separation with Learned Constraints. - Rémi Carloni Gertosio; Jérôme Bobin; Fabio Acero (Signal Process., 2023)

Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation. - Joana Frontera-Pons; Florent Sureau; Jérôme Bobin; Martin Kilbinger (Astron. Comput., 2023)

An autoencoder-based model for learning regularizations in unmixing problems. - Jérôme Bobin; Rémi Carloni Gertosio; Christophe Bobin; Cheick Thiam (Digit. Signal Process., 2023)

Joint deconvolution and blind source separation with non-coplanar interferometric data. - Rémi Carloni Gertosio; Jérôme Bobin (Digit. Signal Process., 2023)

A Hybrid Machine Learning Unmixing Method for Gamma-Spectrometry. - Dinh Triem Phan; Jérôme Bobin; Cheick Thiam; Christophe Bobin (EUSIPCO, 2024)

Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry. - Mostafa Cherif; Tobías I. Liaudat; Jonathan Kern; Christophe Kervazo; Jérôme Bobin (CoRR, 2024)