4 papers
Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
Alicja Polanska, Matthew A. Price, Davide Piras +2
We present the learned harmonic mean estimator with normalizing flows - a robust, scalable and flexible estimator of the Bayesian evidence for model comparison. Since the estimator…
Generative modelling for mass-mapping with fast uncertainty quantification
Jessica J. Whitney, TobÃas 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-…
Differentiable and accelerated spherical harmonic and Wigner transforms
Matthew A. Price, Jason D. McEwen
Many areas of science and engineering encounter data defined on spherical manifolds. Modelling and analysis of spherical data often necessitates spherical harmonic transforms, at h…
Generative models of astrophysical fields with scattering transforms on the sphere
Louise Mousset, Erwan Allys, Matthew A. Price +4
Scattering transforms are a new type of summary statistics recently developed for the study of highly non-Gaussian processes, which have been shown to be very promising for astroph…