85 citations · 139 across the 7 of their papers we have counts for
4 papers · 1 filter
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
Statistically-informed deep learning for gravitational wave parameter estimation
Hongyu Shen, E. A. Huerta, Eamonn O'Shea +2
We introduce deep learning models to estimate the masses of the binary components of black hole mergers, , and three astrophysical properties of the post-merger compact…
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…