153 citations · 545 across the 29 of their papers we have counts for
4 papers · 1 filter
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…
The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution
Marcelo Pereyra, Luis A. Vargas-Mieles, Konstantinos C. Zygalakis
Developing efficient Bayesian computation algorithms for imaging inverse problems is challenging due to the dimensionality involved and because Bayesian imaging models are often no…
Learned reconstruction methods with convergence guarantees
Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem +2
In recent years, deep learning has achieved remarkable empirical success for image reconstruction. This has catalyzed an ongoing quest for precise characterization of correctness a…
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
Rémi Laumont, Valentin de Bortoli, Andrés Almansa +3
Bayesian methods to solve imaging inverse problems usually combine an explicit data likelihood function with a prior distribution that explicitly models expected properties of the…