On Stripe 82X AGN with optical-to-MIR photometry, machine-learning photo-z from MLPQNA matches SED fitting in accuracy and outliers, and its redshift probability distributions are more conservative for outliers.
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Photometric redshifts for X-ray-selected active galactic nuclei in the eROSITA era
On Stripe 82X AGN with optical-to-MIR photometry, machine-learning photo-z from MLPQNA matches SED fitting in accuracy and outliers, and its redshift probability distributions are more conservative for outliers.