| 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 | 251 | 2018 |
| 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, 835-862, 2015 | 226 | 2015 |
| Proximal markov chain monte carlo algorithms M Pereyra Statistics and Computing 26, 745-760, 2016 | 224 | 2016 |
| 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 | 177 | 2015 |
| Bayesian imaging using plug & play priors: when langevin meets tweedie R Laumont, VD Bortoli, A Almansa, J Delon, A Durmus, M Pereyra SIAM Journal on Imaging Sciences 15 (2), 701-737, 2022 | 130 | 2022 |
| 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 | 111 | 2013 |
| 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 | 93 | 2017 |
| 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 | 87 | 2012 |
| Wasserstein control of mirror langevin monte carlo KS Zhang, G Peyré, J Fadili, M Pereyra Conference on learning theory, 3814-3841, 2020 | 85 | 2020 |
| 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 | 85 | 2018 |
| Maximum-a-posteriori estimation with Bayesian confidence regions M Pereyra SIAM Journal on Imaging Sciences 10 (1), 285-302, 2017 | 82 | 2017 |
| 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 | 81 | 2015 |
| 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 | 80 | 2019 |
| Learned reconstruction methods with convergence guarantees: A survey of concepts and applications S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb IEEE Signal Processing Magazine 40 (1), 164-182, 2023 | 67 | 2023 |
| Maximum likelihood estimation of regularization parameters in high-dimensional inverse problems: An empirical bayesian approach part i: Methodology and experiments AF Vidal, V De Bortoli, M Pereyra, A Durmus SIAM Journal on Imaging Sciences 13 (4), 1945-1989, 2020 | 59 | 2020 |
| Fast unsupervised bayesian image segmentation with adaptive spatial regularisation M Pereyra, S McLaughlin IEEE Transactions on Image processing 26 (6), 2577-2587, 2017 | 57 | 2017 |
| 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 | 48 | 2012 |
| 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 | 46 | 2018 |
| Efficient stochastic optimisation by unadjusted Langevin Monte Carlo: Application to maximum marginal likelihood and empirical Bayesian estimation V De Bortoli, A Durmus, M Pereyra, AF Vidal Statistics and Computing 31, 1-18, 2021 | 45 | 2021 |
| 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 | 45 | 2015 |
Hadj BatatiaHeriot Watt Univeristyhw.ac.uk의 이메일 확인됨
