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Christophe Kervazo
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Books and Theses
- 2019
- [b1]Christophe Kervazo:
Optimization framework for large-scale sparse blind source separation. (Stratégies d'optimisation pour la séparation aveugle de sources parcimonieuses grande échelle). University of Paris-Saclay, France, 2019
Journal Articles
- 2021
- [j4]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. SIAM J. Imaging Sci. 14(4): 1848-1889 (2021) - 2020
- [j3]Christophe Kervazo, Jérôme Bobin, Cécile Chenot, Florent Sureau:
Use of PALM for ℓ1 sparse matrix factorization: Difficulty and rationalization of a two-step approach. Digit. Signal Process. 97 (2020) - [j2]Christophe Kervazo, Tobias Liaudat, Jérôme Bobin:
Faster and better sparse blind source separation through mini-batch optimization. Digit. Signal Process. 106: 102827 (2020) - 2018
- [j1]Christophe Kervazo, Jérôme Bobin, Cecile Chenot:
Blind separation of a large number of sparse sources. Signal Process. 150: 157-165 (2018)
Conference and Workshop Papers
- 2024
- [c10]Christophe Kervazo, Abdelkhalak Chetoui, Jérémy E. Cohen:
Deep Unrolling of the Multiplicative Updates Algorithm for Blind Source Separation, with Application to Hyperspectral Unmixing. EUSIPCO 2024: 656-660 - [c9]Rassim Hadjercs, Christophe Kervazo, Florence Tupin:
Generating Synthetic Data to Train a Deep Unrolled Network for Hyperspectral Unmixing. EUSIPCO 2024: 1861-1865 - [c8]Thomas Bultingaire, Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin:
Unsupervised Radiometric Change Detection from Synthetic Aperture Radar Images. EUSIPCO 2024: 2217-2221 - [c7]Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Wavelet-Based Sparse Non-Negative Matrix Factorization for Bioluminescent Imaging Unmixing. ISBI 2024: 1-5 - [c6]Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal:
Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction. ISBI 2024: 1-5 - 2023
- [c5]Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. ISBI 2023: 1-5 - [c4]Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal:
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. MIDL 2023: 1813-1825 - 2022
- [c3]Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin:
Unrolling PALM for Sparse Semi-Blind Source Separation. ICLR 2022 - 2020
- [c2]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. EUSIPCO 2020: 1951-1955 - 2018
- [c1]Christophe Kervazo, Jérôme Bobin, Cecile Chenot:
Heuristics for Efficient Sparse Blind Source Separation. EUSIPCO 2018: 489-493
Informal and Other Publications
- 2021
- [i4]Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo:
Smoothed Separable Nonnegative Matrix Factorization. CoRR abs/2110.05528 (2021) - [i3]Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin:
unrolling palm for sparse semi-blind source separation. CoRR abs/2112.05694 (2021) - 2020
- [i2]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably robust blind source separation of linear-quadratic near-separable mixtures. CoRR abs/2011.11966 (2020) - 2018
- [i1]Christophe Kervazo, Jérôme Bobin, Cécile Chenot:
Heuristics for Efficient Sparse Blind Source Separation. CoRR abs/1812.06737 (2018)
Coauthor Index
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