A semi-supervised variational autoencoder that reconstructs a full light curve from the first three days of data classifies simulated transients with 83.1% accuracy, 5.59% relative improvement over a GRU baseline.
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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder
A semi-supervised variational autoencoder that reconstructs a full light curve from the first three days of data classifies simulated transients with 83.1% accuracy, 5.59% relative improvement over a GRU baseline.