Scholar
Emmanuel Soubies
Google Scholar ID: OouTPC0AAAAJ
CNRS, IRIT, Signal & Communications Group
Inverse Problems
Computational Imaging
Optimization
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Citations
886
H-index
14
i10-index
16
Publications
20
Co-authors
49
list available
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Publications
2 items
Proximal Operators of Sorted Nonconvex Penalties
2025
Cited
0
Convexity in ReLU Neural Networks: beyond ICNNs?
2025
Cited
0
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Research Experience
- Since 2019, CNRS researcher, Signal & Communications Group, IRIT Laboratory
- 2016-2018, Postdoctoral researcher, Biomedical Imaging Group, EPFL, Directed by: Michael Unser
Education
- PhD, 2013-2016, Morpheme team (INRIA/CNRS/UNS), Supervisors: Laure Blanc-Féraud, Sébastien Schaub, and Gilles Aubert
Background
- Research Interests: Inverse problems in imaging and Sparse optimization
- Keywords: Inverse problems, Large-scale convex and non-convex optimization, Sparse modeling, Machine learning, Neural networks, Variational methods, Optical modeling, Microscopy
- Imaging modalities: Widefield/confocal fluorescent microscopy, Single Molecule Localization Microscopy (SMLM), Structured Illumination Microscopy (SIM), Multi-Angle Total-Internal Reflexion Fluo (MA-TIRF), Optical Diffraction Tomography (ODT), Cryogenic Electron Microscopy (Cryo-EM), Interference Scanning Optical probe Microscopy (ISOM), Ultrasound Imaging
Co-authors
10 total
Michael Unser
Professor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Demetri Psaltis
Ecole Polytechnique Federale de Lausanne
Gabriel Peyré
CNRS, DMA, Ecole Normale Supérieure
Cédric Févotte
CNRS Research Director @ IRIT, ANITI, Univ. Toulouse
Pierre Weiss
Université de Toulouse, CNRS
Daniel Sage
Biomedical Imaging Group and Center for Imaging, EPFL, Lausanne, Switzerland
Cássio Fraga Dantas
INRAE, TETIS, Montpellier
Michael T. McCann
Los Alamos National Laboratory