A meta-learning framework with ALNP, SOM clustering, and mixture density models improves AGN light-curve reconstruction by 60-70% and parameter recovery on simulated and ZTF data.
2024a, arXiv e-prints, arXiv:2410.18423
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.GA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Meta-Learning Framework for Multitask Reverberation Mapping in Active Galactic Nuclei
A meta-learning framework with ALNP, SOM clustering, and mixture density models improves AGN light-curve reconstruction by 60-70% and parameter recovery on simulated and ZTF data.