340 citations · 1.4k across the 15 of their papers we have counts for
Showing astro-ph.GAShow all
2 papers · 1 filter
astro-ph.GA2021★ 8 cited
Catalog-free modeling of galaxy types in deep images: Massive dimensional reduction with neural networks
Florian Livet, Tom Charnock, Damien Le Borgne +1
Current models of galaxy evolution are constrained by the analysis of catalogs containing the flux and size of galaxies extracted from multiband deep fields carrying inevitable obs…
astro-ph.GA2020★ 58 cited
Detecting outliers in astronomical images with deep generative networks
Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock +5
With the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative net…