astro-ph.IM · 2026-07-07 · No. 46

Instrumentation and Methods for Astrophysics, 2026-07-07.

1 new papers in astro-ph.IM. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification

    Raphaël Bonnet-Guerrini, Bruno Sanchez, Dominique Fouchez, Benjamin Racine, Maya Guy, Mariam Sabalbal, Manal...

    astro-ph.IM · astro-ph.GA · astro-ph.HE · cs.AI · cs.LG

    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 that can be trained without human-labeled data using injected transients and bogus-dominated survey data, remains robust under strong class contamination, and...

    arxiv.org/abs/2607.05393 · PDF

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