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Marcelo Pereyra
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Marcelo Pereyra18 visible / 18 total nodes / 35 links

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Related contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalMarcelo PereyraAMarcelo PereyraResearcherConsistency Regularised Gradient Flows for Inverse ProblemsWConsistency Regularised...preprint / 2026Alessio SpagnolettiAAlessio SpagnolettiResearcherTim Y. J. WangATim Y. J. WangResearcherO. Deniz AkyildizAO. Deniz AkyildizResearcherComputing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts modelsWComputing the Cramer-Ra...preprint / 2013Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithmWEstimating the granular...preprint / 2012Proximal Markov chain Monte Carlo algorithmsWProximal Markov chain M...preprint / 2015Fast unsupervised Bayesian image segmentation with adaptive spatial regularisationWFast unsupervised Bayes...preprint / 2016A Survey of Stochastic Simulation and Optimization Methods in Signal ProcessingWA Survey of Stochastic ...preprint / 2015Maximum-a-posteriori estimation with Bayesian confidence regionsWMaximum-a-posteriori es...preprint / 2016Machine LearningTMachine Learning49008 worksComputer VisionTComputer Vision30606 worksAccelerating proximal Markov chain Monte Carlo by using an explicit stabilised methodWAccelerating proximal M...preprint / 2020Bayesian nonlinear hyperspectral unmixing with spatial residual component analysisWBayesian nonlinear hype...preprint / 2015Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and ExperimentsWMaximum likelihood esti...preprint / 2020Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimationWEfficient stochastic op...preprint / 2020Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse ProblemsWEfficient Bayesian Comp...preprint / 2026
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Marcelo Pereyra

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PaperConsistency Regularised Gradient Flows for Inverse ProblemsAuthorship / preprint / 2026PersonAlessio SpagnolettiCo-authorship / ResearcherPersonTim Y. J. WangCo-authorship / ResearcherPersonO. Deniz AkyildizCo-authorship / ResearcherPaperComputing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts modelsAuthorship / preprint / 2013PaperEstimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithmAuthorship / preprint / 2012PaperProximal Markov chain Monte Carlo algorithmsAuthorship / preprint / 2015PaperFast unsupervised Bayesian image segmentation with adaptive spatial regularisationAuthorship / preprint / 2016

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