Research output per year
Research output per year
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.).
Biography
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.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Thouvenin, P-A., Repetti, A. & Chainais, P., 2 Jul 2024, In: Journal of Computational and Graphical Statistics. 33, 3, p. 814-832 19 p.Research output: Contribution to journal › Article › peer-review
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A multilevel framework for accelerating uSARA in radio-interferometric imaging
Lauga, G., Repetti, A., Riccietti, E., Pustelnik, N., Goncalvez, P. & Wiaux, Y., 22 May 2024, (Accepted/In press) Proceedings of EUSIPCO 2024. 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Primal-Dual Data-Driven Method for Computational Optical Imaging with a Photonic Lantern
Garcia, C. S., Larcheveque, M., O'Sullivan, S., Van Waerebeke, M., Thomson, R. R., Repetti, A. & Pesquet, J-C., Apr 2024, In: PNAS Nexus. 3, 4, pgae164.Research output: Contribution to journal › Article › peer-review
Open AccessFile27 Downloads (Pure) -
Uncertainty quantification in computed tomography pulmonary angiography
Rambojun, A. M., Komber, H., Rossdale, J., Suntharalingam, J., Rodrigues, J. C. L., Ehrhardt, M. J. & Repetti, A., Jan 2024, In: PNAS Nexus. 3, 1, pgad404.Research output: Contribution to journal › Article › peer-review
Open AccessFile28 Downloads (Pure) -
Unfolded proximal neural networks for robust image Gaussian denoising
Le, T. V., Repetti, A. & Pustelnik, N., 2024, In: IEEE Transactions on Image Processing. 33, p. 4475-4487 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile91 Downloads (Pure)
Datasets
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Dataset record replaced by updated record, see below.
Abdulaziz, A. (Creator), Jiang, M. (Creator), Dabbech, A. (Creator), Thouvenin, P. (Contributor), Repetti, A. (Contributor), Jackson, A. (Contributor) & Wiaux, Y. (Supervisor), Heriot-Watt University, Jan 2020
DOI: 10.17861/33b4c743-256b-44ec-a557-d67e2209cb25
Dataset
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Supporting data for "Computational optical imaging with a photonic lantern" by Choudhury et al
Thomson, R. R. (Creator), McNicholl, D. (Creator) & Repetti, A. (Creator), Heriot-Watt University, 1 Sept 2020
DOI: 10.17861/a1bebd55-b44f-4b34-82c0-c0fe925762c6
Dataset
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Cygnus A images at X, C and S band obtained via joint calibration and imaging
Dabbech, A. (Creator), Repetti, A. (Creator), Perley, R. (Creator), Smirnov, O. (Creator) & Wiaux, Y. (Creator), Heriot-Watt University, 2021
DOI: 10.17861/529cdcbc-7c18-47a6-970f-755a5da19071
Dataset