283 citations · 2.8k across the 43 of their papers we have counts for
Showing 2022 · astro-ph.IMShow all
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astro-ph.IM2022★ 2 cited
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks
Jingkai Yan, Robert Colgan, John Wright +3
Gravitational wave astronomy is a vibrant field that leverages both classic and modern data processing techniques for the understanding of the universe. Various approaches have bee…
astro-ph.IM2022★ 3 cited
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning
Robert E. Colgan, Zsuzsa Márka, Jingkai Yan +3
As engineered systems grow in complexity, there is an increasing need for automatic methods that can detect, diagnose, and even correct transient anomalies that inevitably arise an…