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Personal profile

Research interests

My research interests include optimisation (convex, nonconvex, and stochastic), Bayesian inference, and applications to high dimensional inverse problems (e.g. computational imaging, statistical graph processing, etc.).

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I obtained an M.Sc. degree in Mathematics from the University Pierre and Marie Curie (Paris VI, France) in 2011. I completed my Ph.D. in the field of optimisation in the University of Paris-Est (France) in 2015, and I has been a Research Associate in Heriot Watt University from 2015 to 2018, in the EPS school. I am now an Assistant Professor in both EPS and MACS schools.

Fingerprint Dive into the research topics where Audrey Repetti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Imaging techniques Engineering & Materials Science
Convex optimization Engineering & Materials Science
Deconvolution Engineering & Materials Science
interferometry Physics & Astronomy
acquisition Physics & Astronomy
Inverse problems Engineering & Materials Science
Interferometry Engineering & Materials Science
optimization Physics & Astronomy

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2012 2019

A faceted prior for scalable wideband computational imaging

Thouvenin, P-A., Abdulaziz, A., Jiang, M., Repetti, A. & Wiaux, Y., 2 Jul 2019.

Research output: Contribution to conferenceAbstract

Open Access
state of the art

A Faceted Prior for Scalable Wideband Imaging: Application to Radio Astronomy

Thouvenin, P-A., Abdulaziz, A., Jiang, M., Repetti, A. & Wiaux, Y., 17 Sep 2019, (Accepted/In press) 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). Guadeloupe, West Indies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Radio astronomy
Imaging techniques
Convex optimization
Frequency bands

A forward-backward algorithm for reweighted procedures: Application to radio-astronomical imaging

Repetti, A. & Wiaux, Y., 18 Oct 2019, (Submitted). 5 p.

Research output: Contribution to conferencePaper

composite functions
critical point

Building firmly nonexpansive convolutional neural networks

Terris, M., Repetti, A., Pesquet, J-C. & Wiaux, Y., Oct 2019, (Submitted). 5 p.

Research output: Contribution to conferencePaper

Neural networks
Image denoising
Image processing

Computational time-of-flight diffuse optical tomography

Lyons, A., Boccolini, A., Tonolini, F., Repetti, A., Henderson, R., Wiaux, Y. & Faccio, D. F. A., Aug 2019, In : Nature Photonics. 13, 8, p. 575-579 5 p.

Research output: Contribution to journalArticle

Open Access
Optical tomography
Imaging techniques
mean free path