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

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

Optimization framework for large-scale sparse blind source separation. (Stratégies d'optimisation pour la séparation aveugle de sources parcimonieuses grande échelle). - Christophe Kervazo (2019)

Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. - Christophe Kervazo; Nicolas Gillis; Nicolas Dobigeon (EUSIPCO, 2020)

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)

Smoothed Separable Nonnegative Matrix Factorization. - Nicolas Nadisic; Nicolas Gillis; Christophe Kervazo (CoRR, 2021)

Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. - Christophe Kervazo; Nicolas Gillis; Nicolas Dobigeon (SIAM J. Imaging Sci., 2021)

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

Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. - Erwan Dereure; Christophe Kervazo; Johanne Seguin; Anikitos Garofalakis; Nathalie Mignet; Elsa D. Angelini; Jean-Christophe Olivo-Marin (ISBI, 2023)

A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. - Arnaud Quillent; Vincent Jonas Bismuth; Isabelle Bloch; Christophe Kervazo; Saïd Ladjal (MIDL, 2023)

Unsupervised Radiometric Change Detection from Synthetic Aperture Radar Images. - Thomas Bultingaire; Inès Meraoumia; Christophe Kervazo; Loïc Denis; Florence Tupin (EUSIPCO, 2024)

Generating Synthetic Data to Train a Deep Unrolled Network for Hyperspectral Unmixing. - Rassim Hadjercs; Christophe Kervazo; Florence Tupin (EUSIPCO, 2024)

Deep Unrolling of the Multiplicative Updates Algorithm for Blind Source Separation, with Application to Hyperspectral Unmixing. - Christophe Kervazo; Abdelkhalak Chetoui; Jérémy E. Cohen (EUSIPCO, 2024)

Wavelet-Based Sparse Non-Negative Matrix Factorization for Bioluminescent Imaging Unmixing. - Erwan Dereure; Christophe Kervazo; Johanne Seguin; Anikitos Garofalakis; Nathalie Mignet; Elsa D. Angelini; Jean-Christophe Olivo-Marin (ISBI, 2024)

Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction. - Arnaud Quillent; Vincent Jonas Bismuth; Isabelle Bloch; Christophe Kervazo; Saïd Ladjal (ISBI, 2024)

Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training. - Xinxin Xu; Yann Gousseau; Christophe Kervazo; Saïd Ladjal (WHISPERS, 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)