134 citations · 254 across the 3 of their papers we have counts for
3 papers
astro-ph.GA2019★ 15 cited
An extended catalog of galaxy-galaxy strong gravitational lenses discovered in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +55
We search Dark Energy Survey (DES) Year 3 imaging for galaxy-galaxy strong gravitational lenses using convolutional neural networks, extending previous work with new training sets…
astro-ph.GA2018★ 105 cited
Finding high-redshift strong lenses in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +63
We search Dark Energy Survey (DES) Year 3 imaging data for galaxy-galaxy strong gravitational lenses using convolutional neural networks. We generate 250,000 simulated lenses at re…
astro-ph.IM2017★ 134 cited
Finding strong lenses in CFHTLS using convolutional neural networks
Colin Jacobs, Karl Glazebrook, Thomas Collett +2
We train and apply convolutional neural networks, a machine learning technique developed to learn from and classify image data, to Canada-France-Hawaii Telescope Legacy Survey (CFH…