59 citations · 140 across the 10 of their papers we have counts for
Showing astro-ph.IMShow all
3 papers · 1 filter
astro-ph.IM2022
Scalable Bayesian Inference for Finding Strong Gravitational Lenses
Yash Patel, Jeffrey Regier
Finding strong gravitational lenses in astronomical images allows us to assess cosmological theories and understand the large-scale structure of the universe. Previous works on len…
astro-ph.IM2022
Statistical Inference for Coadded Astronomical Images
Mallory Wang, Ismael Mendoza, Cheng Wang +2
Coadded astronomical images are created by stacking multiple single-exposure images. Because coadded images are smaller in terms of data size than the single-exposure images they s…
astro-ph.IM2015★ 15 cited
Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon McAuliffe +5
We present a new, fully generative model of optical telescope image sets, along with a variational procedure for inference. Each pixel intensity is treated as a Poisson random vari…