3 papers
eess.IV2022
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion
Robert G. Aykroyd, Kehinde Olobatuyi
Reconstructing images from downsampled and noisy measurements, such as MRI and low dose Computed Tomography (CT), is a mathematically ill-posed inverse problem. We propose an easy-…
stat.ME2021
A variational inference framework for inverse problems
Luca Maestrini, Robert G. Aykroyd, Matt P. Wand
A framework is presented for fitting inverse problem models via variational Bayes approximations. This methodology guarantees flexibility to statistical model specification for a b…
stat.AP2017
Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment
Chris. J. Oates, Jon Cockayne, Robert G. Aykroyd +1
The use of high-power industrial equipment, such as large-scale mixing equipment or a hydrocyclone for separation of particles in liquid suspension, demands careful monitoring to e…