Estimation of Off-the-grid Sparse Spikes with Over-Parametrized Projected Gradient Descent: Theory and Application.
Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol, and Emmanuel Soubies. [hal]

The MLE is a Reliable Source: Sharp Performance Guarantees for Localization Problems.
Inverse Problems, vol. 40, no. 1, 2023.
Nathanaël Munier, Emmanuel Soubies, and Pierre Weiss. [hal]

Sphere Refinement in Gap Safe Screening.
IEEE Signal Processing Letters, vol. 30, pp. 608 - 612, 2023.
Cassio F. Dantas, Emmanuel Soubies, and Cédric Févotte. [hal]

Leveraging Joint-Diagonalization in Transform-Learning NMF.
IEEE Transactions on Signal Processing, vol. 70, pp. 3802 - 3817, 2022.
Sixin Zhang, Emmanuel Soubies, and Cédric Févotte. [hal] [code]

Expanding Boundaries of Gap Safe Screening.
Journal of Machine Learning Research, vol. 22, no. 236, pp. 1-57, 2021.
Cássio F. Dantas, Emmanuel Soubies, and Cédric Févotte. [journal] [code]

Optical Diffraction Tomography from Single-Molecule Localization Microscopy.
Optics Communications, vol. 499, 2021.
Thanh-an Pham, Emmanuel Soubies, Ferréol Soulez, and Michael Unser. [journal]

Direction-of-Arrival Estimation through Exact Continuous l20-Norm Relaxation.
IEEE Signal Processing Letters, vol. 28, pp. 16-20, 2021.
Emmanuel Soubies, Adilson Chinatto, Pascal Larzabal, João Romano, and Laure Blanc-Féraud. [hal]

On the Identifiability of Transform Learning for Non-negative Matrix Factorization.
IEEE Signal Processing Letters, vol. 27, pp. 1555-1559, 2020. [Presented at ICASSP 2021]
Sixin Zhang, Emmanuel Soubies, and Cédric Févotte. [hal] [code]

New Insights on the Optimality Conditions of the l2-l0 Minimization Problem.
Journal of Mathematical Imaging and Vision, vol. 62, no. 6, pp. 808-824, 2020.
Emmanuel Soubies, Laure Blanc-Féraud, and Gilles Aubert. [journal]

Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM.
IEEE Transactions on Image Processing, vol. 29, pp. 6151-6163, 2020.
Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen J. Zhao, and Michael Unser. [journal] [code]

Three-Dimensional Optical Diffraction Tomography with Lippmann-Schwinger Model.
IEEE Transactions on Computational Imaging, vol 6, pp. 727-738, 2020. [journal] [code]
Thanh-an Pham, Emmanuel Soubies, Ahmed Ayoub, Joowon Lim, Demetri Psaltis, and Michael Unser.

The Sliding Frank-Wolfe Algorithm and its Application to Super-Resolution Microscopy.
Inverse Problems, vol. 36, no. 1, pp. 1-42, 2020.
Quentin Denoyelle, Vincent Duval, Gabriel Peyré, and Emmanuel Soubies. [journal] [code]

Nanometric Axial Resolution of Fibronectin Assembly Units Achieved with an Efficient Reconstruction Approach for Multi-Angle-TIRF Microscopy.
Scientific Reports, vol. 9, no. 1926, pp. 1-10, 2019.
Emmanuel Soubies, Agata Radwanska, Dominique Grall, Laure Blanc-Féraud, Ellen Van Obberghen-Schilling, and Sébastien Schaub. [journal] [Press Release] [code]

Computational Super-Sectioning for Single-Slice Structured Illumination Microscopy.
IEEE Transactions on Computational Imaging, vol. 5 no. 2, pp. 240-250, 2019.
Emmanuel Soubies and Michael Unser [journal] [code]

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography.
Optics Express, vol.25, no. 18, pp. 21786-21800, 2017 (Editors' Pick).
Emmanuel Soubies, Thanh-an Pham and Michael Unser. [journal] [code]

A Unified View of Exact Continuous Penalties for l2-l0 Minimization.
SIAM Journal on Optimization, vol. 27, no. 3, pp. 2034-2060, 2017.
Emmanuel Soubies, Laure Blanc-Féraud and Gilles Aubert. [hal]