8 citations · 15 across the 14 of their papers we have counts for
3 papers · 1 filter
Generative modelling for mass-mapping with fast uncertainty quantification
Jessica J. Whitney, Tobías I. Liaudat, Matthew A. Price +2
Understanding the nature of dark matter in the Universe is an important goal of modern cosmology. A key method for probing this distribution is via weak gravitational lensing mass-…
Using conditional GANs for convergence map reconstruction with uncertainties
Jessica Whitney, Tobías Liaudat, Matt Price +2
Understanding the large-scale structure of the Universe and unravelling the mysteries of dark matter are fundamental challenges in contemporary cosmology. Reconstruction of the cos…
Learned radio interferometric imaging for varying visibility coverage
Matthijs Mars, Marta M. Betcke, Jason D. McEwen
With the next generation of interferometric telescopes, such as the Square Kilometre Array (SKA), the need for highly computationally efficient reconstruction techniques is particu…