Marcelo Pereyra

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Hadj BatatiaHeriot Watt UniveristyVerified email at hw.ac.uk
Jean-Yves TourneretUniversity of Toulouse, ENSEEIHT-IRITVerified email at enseeiht.fr
Stephen McLaughlinHeriot-Watt UniversityVerified email at hw.ac.uk
Alain DurmusENS Paris-SaclayVerified email at ens-paris-saclay.fr
Nicolas DobigeonProfessor, IUF, ANITI & IRIT/INP-ENSEEIHT, Univ. of Toulouse, FranceVerified email at enseeiht.fr
Jason McEwenUniversity College LondonVerified email at ucl.ac.uk
Xiaohao CaiSchool of Electronics and Computer Science, University of SouthamptonVerified email at soton.ac.uk
Antonio Quintero-RincónAssociate professor at UCAVerified email at uca.edu.ar
Valentin De BortoliUniversity of OxfordVerified email at stats.ox.ac.uk
Ana Fernandez VidalResearch Associate at Heriot-Watt UniversityVerified email at hw.ac.uk
Peter GreenEmeritus Professor of Statistics, University of Bristol; Distinguished Professor of Statistics, UTSVerified email at bristol.ac.uk
Yoann AltmannAssistant Professor at Heriot-Watt UniversityVerified email at hw.ac.uk
Jean-Christophe PesquetDistinguished Professor at CentraleSupélec, Université Paris-SaclayVerified email at centralesupelec.fr
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganVerified email at eecs.umich.edu
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
José M. Bioucas DiasInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, PortugalVerified email at lx.it.pt
Philip SchniterThe Ohio State UniversityVerified email at osu.edu
Audrey RepettiHeriot-Watt university, EdinburghVerified email at hw.ac.uk

Marcelo Pereyra

Heriot Watt University, School of Mathematical and Computer Sciences

Verified email at hw.ac.uk - Homepage

Bayesian analysis and computation imaging inverse problems statistical image processing Markov chain Monte Carlo algorithms


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Bayesian computation: a summary of the current state, and samples backwards and forwards PJ Green, K Łatuszyński, M Pereyra, CP Robert Statistics and Computing 25 (4), 835-862, 2015	171	2015
Proximal markov chain monte carlo algorithms M Pereyra Statistics and Computing 26 (4), 745-760, 2016	137	2016
Efficient bayesian computation by proximal markov chain monte carlo: when langevin meets moreau A Durmus, E Moulines, M Pereyra SIAM Journal on Imaging Sciences 11 (1), 473-506, 2018	132	2018
A survey of stochastic simulation and optimization methods in signal processing M Pereyra, P Schniter, E Chouzenoux, JC Pesquet, JY Tourneret, ... IEEE Journal of Selected Topics in Signal Processing 10 (2), 224-241, 2015	127	2015
Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithm M Pereyra, N Dobigeon, H Batatia, JY Tourneret IEEE Transactions on Image Processing 22 (6), 2385-2397, 2013	101	2013
Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture model M Pereyra, N Dobigeon, H Batatia, JY Tourneret IEEE transactions on medical imaging 31 (8), 1509-1520, 2012	79	2012
Maximum-a-posteriori estimation with unknown regularisation parameters M Pereyra, JM Bioucas-Dias, MAT Figueiredo 2015 23rd European Signal Processing Conference (EUSIPCO), 230-234, 2015	60	2015
Maximum-a-posteriori estimation with Bayesian confidence regions M Pereyra SIAM Journal on Imaging Sciences 10 (1), 285-302, 2017	55	2017
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo N Brosse, A Durmus, É Moulines, M Pereyra Conference on learning theory, 319-342, 2017	45	2017
Fast unsupervised bayesian image segmentation with adaptive spatial regularisation M Pereyra, S McLaughlin IEEE Transactions on Image Processing 26 (6), 2577-2587, 2017	44	2017
Collaborative sparse regression using spatially correlated supports-application to hyperspectral unmixing Y Altmann, M Pereyra, J Bioucas-Dias IEEE Transactions on Image Processing 24 (12), 5800-5811, 2015	43	2015
Uncertainty quantification for radio interferometric imaging–I. Proximal MCMC methods X Cai, M Pereyra, JD McEwen Monthly Notices of the Royal Astronomical Society 480 (3), 4154-4169, 2018	42	2018
Modeling ultrasound echoes in skin tissues using symmetric α-stable processes M Pereyra, H Batatia IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012	41	2012
Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization A Repetti, M Pereyra, Y Wiaux SIAM Journal on Imaging Sciences 12 (1), 87-118, 2019	40	2019
Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis Y Altmann, M Pereyra, S McLaughlin IEEE Transactions on Computational Imaging 1 (3), 174-185, 2015	38	2015
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm M Pereyra, N Whiteley, C Andrieu, JY Tourneret 2014 IEEE Workshop on Statistical Signal Processing (SSP), 121-124, 2014	35	2014
Uncertainty quantification for radio interferometric imaging: II. MAP estimation X Cai, M Pereyra, JD McEwen Monthly Notices of the Royal Astronomical Society 480 (3), 4170-4182, 2018	27	2018
Fast statistical model-based classification of epileptic EEG signals A Quintero-Rincón, M Pereyra, C d’Giano, M Risk, H Batatia Biocybernetics and Biomedical Engineering 38 (4), 877-889, 2018	25	2018
A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals A Quintero-Rincón, M Pereyra, C D’Giano, H Batatia, M Risk Journal of Physics: Conference Series 705 (1), 012032, 2016	23	2016
Exploiting information geometry to improve the convergence properties of variational active contours M Pereyra, H Batatia, S McLaughlin IEEE Journal of Selected Topics in Signal Processing 7 (4), 700-707, 2013	22	2013

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