31 citations · 38 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization
Sam Buchanan, Jingkai Yan, Ellie Haber +1
Achieving invariance to nuisance transformations is a fundamental challenge in the construction of robust and reliable vision systems. Existing approaches to invariance scale expon…
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…