246 citations · 1.1k across the 36 of their papers we have counts for
3 papers · 1 filter
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling
Teresa Klatzer, Paul Dobson, Yoann Altmann +3
This paper presents a new accelerated proximal Markov chain Monte Carlo methodology to perform Bayesian inference in imaging inverse problems with an underlying convex geometry. Th…
Efficient Bayesian computation for low-photon imaging problems
Savvas Melidonis, Paul Dobson, Yoann Altmann +2
This paper studies a new and highly efficient Markov chain Monte Carlo (MCMC) methodology to perform Bayesian inference in low-photon imaging problems, with particular attention to…
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing
Yoann Altmann, Marcelo Pereyra, Jose Bioucas-Dias
This paper presents a new Bayesian collaborative sparse regression method for linear unmixing of hyperspectral images. Our contribution is twofold; first, we propose a new Bayesian…