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Found 2 papers, 1 papers with code
A Convolutional Neural Network Approach to Supernova Time-Series Classification
Retrospective classification is used to differentiate cosmologically useful Type Ia SNe from other SN types, and this method achieves >99% accuracy on this task.
Deblending galaxies with Variational Autoencoders: a joint multi-band, multi-instrument approach
The apparent superposition of galaxies with other astrophysical objects along the line of sight, a problem known as blending, will be a major challenge for upcoming, ground-based, deep, photometric galaxy surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST).
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
