Jérôme Bobin

57 papers A* 1B 5Journal 40Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparative study of machine learning and statistical methods for automatic identification and quantification in γ-ray spectrometry.
CoRR
Dinh Triem Phan, Jérôme Bobin, Cheick Thiam, Christophe Bobin
2024 — conf
A Hybrid Machine Learning Unmixing Method for Gamma-Spectrometry.
EUSIPCO
Dinh Triem Phan, Jérôme Bobin, Cheick Thiam, Christophe Bobin
2024 J jnl
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry.
CoRR
Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern, Christophe Kervazo, Jérôme Bobin
2023 J jnl
An autoencoder-based model for learning regularizations in unmixing problems.
Digit. Signal Process.
Jérôme Bobin, Rémi Carloni Gertosio, Christophe Bobin, Cheick Thiam
2023 J jnl
Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation.
Astron. Comput.
Joana Frontera-Pons, Florent Sureau, Jérôme Bobin, Martin Kilbinger
2023 J jnl
Joint deconvolution and blind source separation with non-coplanar interferometric data.
Digit. Signal Process.
Rémi Carloni Gertosio, Jérôme Bobin
2023 J jnl
Semi-Blind Source Separation with Learned Constraints.
Signal Process.
Rémi Carloni Gertosio, Jérôme Bobin, Fabio Acero
2023 — conf
Sushi: Learning-Based Hyperspectral Image Unmixing with Spectral Variabilities.
WHISPERS
Julia Lascar, Jérôme Bobin, Fabio Acero
2022 — conf
Blind Source Separation with Non-Coplanar Interferometric Data.
SAM
Rémi Carloni Gertosio, Jérôme Bobin
2022 J jnl
Semi-Blind Source Separation with Learned Constraints.
CoRR
Rémi Carloni Gertosio, Jérôme Bobin, Fabio Acero
2022 A* conf
Unrolling PALM for Sparse Semi-Blind Source Separation.
ICLR
Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin
2021 J jnl
Joint deconvolution and unsupervised source separation for data on the sphere.
Digit. Signal Process.
Rémi Carloni Gertosio, Jérôme Bobin
2021 J jnl
unrolling palm for sparse semi-blind source separation.
CoRR
Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin
2020 J jnl
Faster and better sparse blind source separation through mini-batch optimization.
Digit. Signal Process.
Christophe Kervazo, Tobías I. Liaudat, Jérôme Bobin
2020 J jnl
Sparse BSS From Poisson Measurements.
IEEE Trans. Image Process.
Jérôme Bobin, Imane El Hamzaoui, Adrien Picquenot, Fabio Acero
2020 J jnl
Use of PALM for
Digit. Signal Process.
Christophe Kervazo, Jérôme Bobin, Cécile Chenot, Florent Sureau
2019 — conf
Metric Learning for Semi-Supervised Sparse Source Separation with Spectral Examples.
CAMSAP
Jérôme Bobin, Fabio Acero, Adrien Picquenot
2018 J jnl
Blind Source Separation with Outliers in Transformed Domains.
SIAM J. Imaging Sci.
Cécile Chenot, Jérôme Bobin
2018 J jnl
Blind separation of a large number of sparse sources.
Signal Process.
Christophe Kervazo, Jérôme Bobin, Cecile Chenot
2018 — conf
Dictionary Learning for Photometric Redshift Estimation.
EUSIPCO
Joana Frontera-Pons, Florent Sureau, Bruno Moraes, Jérôme Bobin, Filipe B. Abdalla, Jean-Luc Starck
2018 — conf
Heuristics for Efficient Sparse Blind Source Separation.
EUSIPCO
Christophe Kervazo, Jérôme Bobin, Cecile Chenot
2018 J jnl
Heuristics for Efficient Sparse Blind Source Separation.
CoRR
Christophe Kervazo, Jérôme Bobin, Cécile Chenot
2018 J jnl
Sparse component separation from Poisson measurements.
CoRR
Imane El Hamzaoui, Jérôme Bobin
2017 — conf
BSS with Corrupted Data in Transformed Domains.
LVA/ICA
Cécile Chenot, Jérôme Bobin
2017 J jnl
Blind separation of sparse sources in the presence of outliers.
Signal Process.
Cécile Chenot, Jérôme Bobin
2017 J jnl
Joint Multichannel Deconvolution and Blind Source Separation.
CoRR
Ming Jiang, Jérôme Bobin, Jean-Luc Starck
2017 J jnl
Joint Multichannel Deconvolution and Blind Source Separation.
SIAM J. Imaging Sci.
Ming Jiang, Jérôme Bobin, Jean-Luc Starck
2017 J jnl
Two-pixel polarimetric camera by compressive sensing.
CoRR
Julien Fade, Estéban Perrotin, Jérôme Bobin
2016 J jnl
Application of non-negative matrix factorization to LC/MS data.
Signal Process.
Jérémy Rapin, Antoine Souloumiac, Jérôme Bobin, Anthony Larue, Christophe Junot, Minale Ouethrani, Jean-Luc Starck
2016 J jnl
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR
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, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
2015 J jnl
Robust Sparse Blind Source Separation.
CoRR
Cecile Chenot, Jérôme Bobin, Jérémy Rapin
2015 J jnl
Robust Sparse Blind Source Separation.
IEEE Signal Process. Lett.
Cecile Chenot, Jérôme Bobin, Jérémy Rapin
2015 J jnl
Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources.
IEEE Trans. Signal Process.
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
2014 B conf
Blind source separation based anomaly detection in multi-spectral images.
ICIP
Saima Ben Hadf, Jérôme Bobin, Arnaud Woiselle
2014 J jnl
NMF with Sparse Regularizations in Transformed Domains.
CoRR
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2014 J jnl
NMF with Sparse Regularizations in Transformed Domains.
SIAM J. Imaging Sci.
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2014 B conf
Sparse blind source separation for partially correlated sources.
ICIP
Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue
2014 J jnl
Sparsity and adaptivity for the blind separation of partially correlated sources.
CoRR
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
2013 J jnl
Hyperspectral fluorescence microscopy based on Compressive Sampling.
CoRR
Makhlad Chahid, Jérôme Bobin, Hamed Shams Mousavi, Emmanuel J. Candès, Maxime Dahan, Vincent Studer
2013 J jnl
Sparse and Non-Negative BSS for Noisy Data.
CoRR
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2013 J jnl
Sparse and Non-Negative BSS for Noisy Data.
IEEE Trans. Signal Process.
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2013 — conf
Sparse redundant formulations and non-negativity in Blind Source Separation.
EUSIPCO
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2011 J jnl
Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints.
IEEE Trans. Image Process.
Yassir Moudden, Jérôme Bobin
2011 J jnl
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery.
SIAM J. Imaging Sci.
Stephen Becker, Jérôme Bobin, Emmanuel J. Candès
2011 B conf
Source separation in cosmology, from global to local models.
ICIP
Jérôme Bobin, Florent Sureau, Jean-Luc Starck
2010 J jnl
Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing.
Proc. IEEE
Jean-Luc Starck, Jérôme Bobin
2010 J jnl
Image Decomposition and Separation Using Sparse Representations: An Overview.
Proc. IEEE
Mohamed-Jalal Fadili, Jean-Luc Starck, Jérôme Bobin, Yassir Moudden
2009 B conf
A fast and accurate first-order algorithm for compressed sensing.
ICIP
Jérôme Bobin, Emmanuel J. Candès
2009 — conf
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
ICA
Yassir Moudden, Jérôme Bobin, Jean-Luc Starck, Jalal Fadili
2009 J jnl
Morphological Diversity and Sparsity for Multichannel Data Restoration.
J. Math. Imaging Vis.
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
2009 B conf
Sparsity and morphological diversity for hyperspectral data analysis.
ICIP
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Mohamed-Jalal Fadili
2008 J jnl
Compressed Sensing in Astronomy.
IEEE J. Sel. Top. Signal Process.
Jérôme Bobin, Jean-Luc Starck, Roland Ottensamer
2007 J jnl
Morphological Component Analysis: An Adaptive Thresholding Strategy.
IEEE Trans. Image Process.
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho
2007 — conf
Morphological Diversity and Sparsity in Blind Source Separation.
ICA
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
2007 J jnl
Sparsity and Morphological Diversity in Blind Source Separation.
IEEE Trans. Image Process.
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden
2006 — conf
Enhanced Source Separation by Morphological Component Analysis.
ICASSP (5)
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck
2006 J jnl
Morphological diversity and source separation.
IEEE Signal Process. Lett.
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Michael Elad