9 citations · 14 across the 3 of their papers we have counts for
3 papers
eess.SP2022★ 9 cited
Semi-Blind Source Separation with Learned Constraints
Rémi Carloni Gertosio, Jérôme Bobin, Fabio Acero
Blind source separation (BSS) algorithms are unsupervised methods, which are the cornerstone of hyperspectral data analysis by allowing for physically meaningful data decomposition…
eess.SP2020★ 5 cited
Joint deconvolution and unsupervised source separation for data on the sphere
Rémi Carloni Gertosio, Jérôme Bobin
Tackling unsupervised source separation jointly with an additional inverse problem such as deconvolution is central for the analysis of multi-wavelength data. This becomes highly c…
eess.SP2020
Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy
R. Carloni Gertosio, J. Bobin
Blind source separation is one of the major analysis tool to extract relevant information from multichannel data. While being central, joint deconvolution and blind source separati…