153 citations · 545 across the 29 of their papers we have counts for
3 papers · 1 filter
Sparse Bayesian mass-mapping with uncertainties: local credible intervals
Matthew A. Price, Xiaohao Cai, Jason D. McEwen +2
Until recently mass-mapping techniques for weak gravitational lensing convergence reconstruction have lacked a principled statistical framework upon which to quantify reconstructio…
Quantifying Uncertainty in High Dimensional Inverse Problems by Convex Optimisation
Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen
Inverse problems play a key role in modern image/signal processing methods. However, since they are generally ill-conditioned or ill-posed due to lack of observations, their soluti…
Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization
Audrey Repetti, Marcelo Pereyra, Yves Wiaux
We propose a Bayesian uncertainty quantification method for large-scale imaging inverse problems. Our method applies to all Bayesian models that are log-concave, where maximum-a-po…