A dual-network asymmetric co-teaching framework trained on injected transients and contaminated survey data achieves human-label-free real-bogus classification with calibrated uncertainty.
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2 Pith papers cite this work. Polarity classification is still indexing.
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A final data release of 62 reverberation-mapped AGN black hole masses and recalibrated R–L scaling relations, reporting ~0.25 dex scatter for Hβ/MgII and revised CIV masses.
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Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
A dual-network asymmetric co-teaching framework trained on injected transients and contaminated survey data achieves human-label-free real-bogus classification with calibrated uncertainty.
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OzDES Reverberation Mapping of Active Galactic Nuclei: Final Data Release, Black-Hole Mass Results, & Scaling Relations
A final data release of 62 reverberation-mapped AGN black hole masses and recalibrated R–L scaling relations, reporting ~0.25 dex scatter for Hβ/MgII and revised CIV masses.