178 citations · 537 across the 11 of their papers we have counts for
3 papers · 1 filter
Glitch Classification and Clustering for LIGO with Deep Transfer Learning
Daniel George, Hongyu Shen, E. A. Huerta
The detection of gravitational waves with LIGO and Virgo requires a detailed understanding of the response of these instruments in the presence of environmental and instrumental no…
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders
Hongyu Shen, Daniel George, E. A. Huerta +1
Gravitational wave astronomy is a rapidly growing field of modern astrophysics, with observations being made frequently by the LIGO detectors. Gravitational wave signals are often…
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
Daniel George, Hongyu Shen, E. A. Huerta
The exquisite sensitivity of the advanced LIGO detectors has enabled the detection of multiple gravitational wave signals. The sophisticated design of these detectors mitigates the…