38 citations · 91 across the 10 of their papers we have counts for
Showing 2017Show all
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stat.ML2017★ 31 cited
Class-Splitting Generative Adversarial Networks
Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
Generative Adversarial Networks (GANs) produce systematically better quality samples when class label information is provided., i.e. in the conditional GAN setup. This is still obs…
astro-ph.IM2017★ 10 cited
Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines
Juan B. Cabral, Bruno Sánchez, Martín Beroiz +4
Data processing pipelines represent an important slice of the astronomical software library that include chains of processes that transform raw data into valuable information via d…