2 papers
astro-ph.IM2026
Scalable Bayesian data curation for next-generation radio experiments
S. A. K. Leeney, E. de Lera Acedo, W. J. Handley +42
Next-generation radio telescopes produce data volumes that preclude manual quality assessment, yet data curation remains essential for science. We present a general, fully automati…
cs.LG2026
Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier
S. A. K. Leeney, W. J. Handley, H. T. J. Bevins +1
Engineered robust losses such as Huber, Student-, and generalised cross-entropy make supervised models tolerant of contamination but cannot answer which observations are corrupt…