Marcelo Pereyra

Marcelo Pereyra

Heriot-Watt University

H-index: 26

Europe-United Kingdom

About Marcelo Pereyra

Marcelo Pereyra, With an exceptional h-index of 26 and a recent h-index of 22 (since 2020), a distinguished researcher at Heriot-Watt University, specializes in the field of Bayesian analysis and computation, imaging inverse problems, statistical image processing, Markov chain Monte Carlo algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Equivariant bootstrapping for uncertainty quantification in imaging inverse problems

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation

A stochastic optimisation unadjusted Langevin method for empirical Bayesian estimation in semi-blind image deblurring problems

Statistical modelling and Bayesian inversion for a Compton imaging system: application to radioactive source localisation

Empirical Bayesian Imaging with Large-Scale Push-Forward Generative Priors

QuantifAI: Radio interferometric imaging reconstruction with scalable Bayesian uncertainty quantification

The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution

A Bayesian approach for CT reconstruction with defect detection for subsea pipelines

Marcelo Pereyra Information

University

Position

School of Mathematical and Computer Sciences

Citations(all)

2276

Citations(since 2020)

1639

Cited By

1283

hIndex(all)

26

hIndex(since 2020)

22

i10Index(all)

42

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Marcelo Pereyra Skills & Research Interests

Bayesian analysis and computation

imaging inverse problems

statistical image processing

Markov chain Monte Carlo algorithms

Top articles of Marcelo Pereyra

Equivariant bootstrapping for uncertainty quantification in imaging inverse problems

arXiv preprint arXiv:2310.11838

2023/10/18

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation

arXiv preprint arXiv:2404.05445

2024/4/8

A stochastic optimisation unadjusted Langevin method for empirical Bayesian estimation in semi-blind image deblurring problems

arXiv preprint arXiv:2403.04536

2024/3/7

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Statistical modelling and Bayesian inversion for a Compton imaging system: application to radioactive source localisation

arXiv preprint arXiv:2402.07676

2024/2/12

Empirical Bayesian Imaging with Large-Scale Push-Forward Generative Priors

IEEE Signal Processing Letters

2024/2/2

QuantifAI: Radio interferometric imaging reconstruction with scalable Bayesian uncertainty quantification

Astrophysics Source Code Library

2024/1

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution

SIAM Journal on Imaging Sciences

2023/12/31

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

A Bayesian approach for CT reconstruction with defect detection for subsea pipelines

Inverse Problems

2023/12/22

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

BUQO: Bayesian Uncertainty Quantification by Optimization

Astrophysics Source Code Library

2023/12

Proximal nested sampling with data-driven priors for physical scientists

Physical Sciences Forum

2023/12/1

Xiaohao Cai
Xiaohao Cai

H-Index: 11

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging

arXiv preprint arXiv:2312.00125

2023/11/30

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Efficient Bayesian computation for low-photon imaging problems

SIAM Journal on Imaging Sciences

2023/9/30

Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling

arXiv preprint arXiv:2308.09460

2023/8/18

Learned reconstruction methods with convergence guarantees: A survey of concepts and applications

2023/1/2

On maximum a posteriori estimation with plug & play priors and stochastic gradient descent

Journal of Mathematical Imaging and Vision

2023/1

Valentin De Bortoli
Valentin De Bortoli

H-Index: 4

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Proximal nested sampling for high-dimensional Bayesian model selection

Statistics and Computing

2022/10

Xiaohao Cai
Xiaohao Cai

H-Index: 11

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

A proximal markov chain monte carlo method for bayesian inference in imaging inverse problems: When langevin meets moreau

SIAM Review

2022

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

(remi. laumont@ parisdescartes. fr, andres. almansa@ parisdescartes. fr).*(valentin. debortoli@ gmail. com).?(julie. delon@ parisedescartes. fr).?(alain. durmus@ cmla. ens …

SIAM JOURNAL ON IMAGING SCIENCES

2022/1/1

Valentin De Bortoli
Valentin De Bortoli

H-Index: 4

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Bayesian imaging with data-driven priors encoded by neural networks

arXiv preprint arXiv:2103.10182

2021/3/18

Matthew Holden
Matthew Holden

H-Index: 62

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

Bayesian imaging using plug & play priors: when langevin meets tweedie

SIAM Journal on Imaging Sciences

2022

Valentin De Bortoli
Valentin De Bortoli

H-Index: 4

Marcelo Pereyra
Marcelo Pereyra

H-Index: 19

See List of Professors in Marcelo Pereyra University(Heriot-Watt University)

Co-Authors

academic-engine