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20192026
most citedOptimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging

118 citations · 431 across the 11 of their papers we have counts for

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astro-ph.IM2019★ 82 cited

Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder

Ting-Yun Cheng, Nan Li, Christopher J. Conselice +3

In this paper we develop a new unsupervised machine learning technique comprised of a feature extractor, a convolutional autoencoder (CAE), and a clustering algorithm consisting of…