Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
By Raphaël Bonnet-Guerrini · Paper · astro-ph.IM
Time-domain surveys generate many transient candidates, making Real-Bogus classification a critical step in automated discovery pipelines. Reliable labels are costly, while community labels can be noisy and survey-dependent. We aim to develop a Real-Bogus classification framework