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astro-ph.IM2024
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner
Automating real-time anomaly detection is essential for identifying rare transients, with modern survey telescopes generating tens of thousands of alerts per night, and future tele…
cs.LG2024
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner
Automating anomaly detection is an open problem in many scientific fields, particularly in time-domain astronomy, where modern telescopes generate millions of alerts per night. Cur…