114 citations · 155 across the 2 of their papers we have counts for
3 papers · 1 filter
New high-quality strong lens candidates with deep learning in the Kilo Degree Survey
R. Li, N. R. Napolitano, C. Tortora +11
We report new high-quality galaxy scale strong lens candidates found in the Kilo Degree Survey data release 4 using Machine Learning. We have developed a new Convolutional Neural N…
LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks
C. E. Petrillo, C. Tortora, G. Vernardos +17
We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses…
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…