Denoising Autoencoder

Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning
A deep learning-based workflow for denoising and estimating black hole masses from gravitational wave data.
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Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning
Extraction of binary black hole gravitational wave signals from detector data using deep learning
We demonstrate that a denoising autencoder model, consisting of a CNN encoder and a LSTM decoder can be used to extract binary black hole gravitational wave signals from Gaussian and real LIGO noise with high fidelity.
Dr. Chayan Chatterjee, Linqing Wen, Foivos Diakogiannis, Kevin Vinsen
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Extraction of binary black hole gravitational wave signals from detector data using deep learning
Deep Learning for Denoising Gravitational Waves
A deep learning model to extract binary black hole gravitational wave signals from LIGO noise.
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Deep Learning for Denoising Gravitational Waves
Using Deep Learning to Localize Gravitational Waves
Deep learning-based classification model to localize gravitational wave sources to a sector in the sky
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