activity
20202026
most citedPosterior sampling for inverse imaging problems on the sphere in seismology and cosmology

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference

Alex Yan, Cathal Mills, Augustin Marignier +2

When performing Bayesian inference, we frequently need to work with conditional probability densities. For example, the posterior function is the conditional density of the paramet…

astro-ph.CO2023★ 1 cited

Fast emulation of anisotropies induced in the cosmic microwave background by cosmic strings

Matthew A. Price, Matthijs Mars, Matthew M. Docherty +3

Cosmic strings are linear topological defects that may have been produced during symmetry-breaking phase transitions in the very early Universe. In an expanding Universe the existe…

astro-ph.CO2022★ 1 cited

Sparse Bayesian mass-mapping using trans-dimensional MCMC

Augustin Marignier, Thomas Kitching, Jason D. McEwen +1

Uncertainty quantification is a crucial step of cosmological mass-mapping that is often ignored. Suggested methods are typically only approximate or make strong assumptions of Gaus…

physics.data-an2021★ 9 cited

Posterior sampling for inverse imaging problems on the sphere in seismology and cosmology

Augustin Marignier, Jason D. McEwen, Ana M. G. Ferreira +1

Inverse problems defined on the sphere arise in many fields, including seismology and cosmology where problems are defined on the globe and the cosmic sphere. These are generally h…

cs.CV2020★ 1 cited

Efficient Generalized Spherical CNNs

Oliver J. Cobb, Christopher G. R. Wallis, Augustine N. Mavor-Parker +4

Many problems across computer vision and the natural sciences require the analysis of spherical data, for which representations may be learned efficiently by encoding equivariance…