Review
Open access
Aug 2026
The promise of self-supervised and active learning for Strong Lens discovery: Astronomaly applied to KiDS
Strong gravitational lenses (SGLs) are rare systems whose discovery currently relies primarily on supervised machine learning methods trained on large simulated datasets. We present the first application of Astronomaly:PROTEGE to SGL discovery, demonstrating that a human-in-the-loop active learning framework can effi...
M. Grespan, Aprajita Verma, Michelle Lochner et al.
· Monthly notices of the Royal... · 0 citations