138 citations · 173 across the 4 of their papers we have counts for
4 papers
Capturing star formation activity from compressed photometric images of galaxies
Kyuseok Oh, M. Dennis Turp
We present a novel approach for classifying star-forming galaxies using photometric images. By utilizing approximately optical color composite images and spectroscopic da…
Exploring galaxy evolution with generative models
Kevin Schawinski, M. Dennis Turp, Ce Zhang
Context. Generative models open up the possibility to interrogate scientific data in a more data-driven way. Aims: We propose a method that uses generative models to explore hypoth…
Using transfer learning to detect galaxy mergers
Sandro Ackermann, Kevin Schawinski, Ce Zhang +2
We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detection of galaxy mergers. Moreover, we investigate the use of transfer learning in…
PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light
Dominic Stark, Barthelemy Launet, Kevin Schawinski +7
The study of unobscured active galactic nuclei (AGN) and quasars depends on the reliable decomposition of the light from the AGN point source and the extended host galaxy light. Th…