Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders

27 November 2017

Papers citing "Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders"

8 / 8 papers shown

Title
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning Tom Dooney Harsh Narola Stefano Bromuri R. L. Curier C. Broeck Sarah Caudill D. Tan 67 0 0 30 Jan 2025
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 32 32 0 07 Nov 2022
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks Jingkai Yan R. Colgan John N. Wright Z. Márka I. Bartos S. Márka 19 3 0 23 Jul 2022
Data-driven detector signal characterization with constrained bottleneck autoencoders C. Jesús-Valls Thorsten Lux Federico Sánchez 11 1 0 09 Mar 2022
Inference-optimized AI and high performance computing for gravitational wave detection at scale Pranshu Chaturvedi Asad Khan Minyang Tian Eliu A. Huerta Huihuo Zheng 8 29 0 26 Jan 2022
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms Arjun Gupta Eliu A. Huerta Zhizhen Zhao I. Moussa 21 27 0 16 Dec 2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning Eliu A. Huerta Gabrielle Allen I. Andreoni J. Antelis E. Bachelet ... Wei Wei J. Wells T. Williams Jinjun Xiong Zhizhen Zhao AI4CE 23 71 0 26 Nov 2019
Real-time regression analysis with deep convolutional neural networks Eliu A. Huerta D. George Zhizhen Zhao Gabrielle Allen 24 4 0 07 May 2018