187 citations · 1.2k across the 42 of their papers we have counts for
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Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS
C. E. Petrillo, C. Tortora, S. Chatterjee +7
Convolutional Neural Networks (ConvNets) are one of the most promising methods for identifying strong gravitational lens candidates in survey data. We present two ConvNet lens-find…
KiDS-SQuaD: The KiDS Strongly lensed Quasar Detection project
C. Spiniello, A. Agnello, N. R. Napolitano +11
New methods have been recently developed to search for strong gravitational lenses, in particular lensed quasars, in wide-field imaging surveys. Here, we compare the performance of…
The Strong Gravitational Lens Finding Challenge
R. Benton Metcalf, M. Meneghetti, Camille Avestruz +33
Large scale imaging surveys will increase the number of galaxy-scale strong lensing candidates by maybe three orders of magnitudes beyond the number known today. Finding these rare…