Marie-Caroline Corbineau
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I am a Ph.D. student in Mathematics and Computer Science at Centre de Vision Numérique, CentraleSupélec, Université Paris-Saclay, France, working under Prof. Jean-Christophe Pesquet and Prof. Emilie Chouzenoux. My interests include applied mathematics, optimization algorithms, optimization-based neural networks, machine learning, image processing and applications related to aerospace engineering, in particular space science and Earth observation. More details about my background can be found in my resume [CV english][CV français].

Published or Accepted Journal Articles

For articles with the * symbol, authors' names are indicated in the alphabetical order, as it is customary in applied mathematical journals.
2019 A proximal interior point algorithm with applications to image processing* , Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet. To appear in Journal of Mathematical Imaging and Vision, doi:10.1007/s10851-019-00916-w (2019). [Article] [PDF] [code]
Deep unfolding of a proximal interior point method for image restoration*, Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato . To appear in Inverse Problems, doi:10.1088/1361-6420/ab460a (2019). [Article] [PDF] [code]
Preconditioned P-ULA for joint deconvolution-segmentation of ultrasound images , Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet . In IEEE Signal Processing Letters, vol.26, no.10, pp.1456-1460, doi:10.1109/LSP.2019.2935610 (2019). [Article] [Extended version-PDF] [code]

Conference Proceedings

2019 Learned image deblurring by unfolding a proximal interior point algorithm , Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco prato, Jean-Christophe Pesquet . In Proceedings of the 26th IEEE International Conference on Image processing (ICIP). Taipei, Taïwan, September 2019. [Proceedings] [PDF]
2018 Geometry-texture decomposition/reconstruction using a proximal interior point algorithm , Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet . In Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). Sheffield, UK, July 2018, pp.435–439. [Proceedings] [PDF] [code]
PIPA : a new proximal interior point algorithm for large-scale convex optimization , Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet . In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, Canada, April 2018, pp.1343–1347. [Proceedings] [PDF] [code]

Teaching Assistantships

2019 Foundations of Distributed and Large Scale Computing Optimization, for third year and master students at CentraleSupélec, Université Paris-Saclay, France (TA, 11h). [course]
2018 Advanced Optimization, for second year students at CentraleSupélec, Université Paris-Saclay, France (TA, 17h). [course]
Foundations of Distributed and Large Scale Computing Optimization, for third year and master students at CentraleSupélec, Université Paris-Saclay, France (TA, 11h). [course]
2017 Advanced Optimization, for second year students at CentraleSupélec, Université Paris-Saclay, France (TA, 15h). [course]
Foundations of Distributed and Large Scale Computing Optimization, for third year and master students at CentraleSupélec, Université Paris-Saclay, France (TA, 9h). [course]
2016 Advanced Optimization, for second year students at CentraleSupélec, Université Paris-Saclay, France (TA, 15h). [course]
2015 Orbital Mechanics, for undergraduate and graduate students at University of Illinois at Urbana-Champaign (UIUC), IL, USA (TA).

Talks

2019 Deep unfolding of a proximal interior point algorithm for image restoration , Workshop "Regularisation for inverse problems & machine learning". Jussieu, Paris, France, 19 November 2019. [abstract] [slides]
Deep unfolding of a proximal interior point algorithm for image restoration , Mini-symposium "MS-24 From inverse problems to machine learning and back", Applied Inverse Problems Conference (AIP). Grenoble, France, 8 July 2019. [abstract] [slides]
Joint geometry-texture decomposition and reconstruction of CT scans using a proximal interior point algorithm , Young Researchers in Imaging Seminars. Institut Henri Poincaré, Paris, France, 27 February 2019. [abstract]
2018 Proximal interior point algorithm for large scale image processing problems , Mini-Symposium "MS-59 Approaches for fast optimisation in imaging and inverse problems", SIAM Conference on Imaging Science. Bologna, Italy, 7 June 2018. [abstract]
2017 A proximal interior point algorithm for large-scale convex optimization , Journées annuelles 2017 des GdR 3273 Mathématiques de l'Optimisation et Applications (MOA) et 2286 Mathématiques de l'Imagerie et de ses Applications (MIA). Bordeaux, France, 18 Octobre 2017. [abstract]