902 citations · 13.3k across the 140 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
astro-ph.GA2019★ 161 cited
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
Mike Walmsley, Lewis Smith, Chris Lintott +10
We use Bayesian convolutional neural networks and a novel generative model of Galaxy Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. Bayesian CNN…
astro-ph.IM2019★ 1 cited
Modeling with the Crowd: Optimizing the Human-Machine Partnership with Zooniverse
Hugh Dickinson, Lucy Fortson, Claudia Scarlata +2
LSST and Euclid must address the daunting challenge of analyzing the unprecedented volumes of imaging and spectroscopic data that these next-generation instruments will generate. A…