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MADGRAV: a multilevel anomaly-detection pipeline for gravitational-wave searches applied to LIGO data
We present the results of \textbf{MADGRAV}, a deep-learning-based search for high-mass compact binary coalescences, applied to the data collected by the LIGO interferometers during the third observing run and during the first and second part of the fourth observing run. The \textbf{MADGRAV} pipeline
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