A noise-trained variational autoencoder flags gravitational-wave events as reconstruction-error anomalies in LIGO data, with a reported AUC of 0.89 on a small test set.
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Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data
A noise-trained variational autoencoder flags gravitational-wave events as reconstruction-error anomalies in LIGO data, with a reported AUC of 0.89 on a small test set.