On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-Encoders
Date Issued
2021-12
Author(s) USM
DOI
10.3390/signals2040042
Abstract
Light curve analysis usually involves extracting manually designed features associated with physical parameters and visual inspection. The large amount of data collected nowadays in astronomy by different surveys represents a major challenge of characteri
