New Preprint Introduces "Contrastive Astromer" for Astronomical Light Curve Classification

A new preprint on arXiv describes "Contrastive Astromer," a two-stage contrastive representation learning method designed for astronomical light curve classification. This work, submitted by Justin Minggan Wei, Pavlos Protopapas, and Guillermo Cabrera-Vives, focuses on improving instrumentation and methods for astrophysics through advanced computer vision and pattern recognition techniques. This is a preliminary finding and has not yet been peer-reviewed.