Convolutional neural networks: a magic bullet for gravitational-wave detection?

18 April 2019

Papers citing "Convolutional neural networks: a magic bullet for gravitational-wave detection?"

9 / 9 papers shown

Title
Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data S. Jadhav Mihir Shrivastava S. Mitra OOD 21 9 0 20 Jun 2023
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks Jingkai Yan R. Colgan John N. Wright Z. Márka I. Bartos S. Márka 21 3 0 23 Jul 2022
DeepSNR: A deep learning foundation for offline gravitational wave detection Michael Andrews M. Paulini Luke Sellers Alexey Bobrick Gianni Martire Haydn Vestal OffRL 19 6 0 11 Jul 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 2022
Deep Networks Provably Classify Data on Curves Tingran Wang Sam Buchanan D. Gilboa John N. Wright 23 9 0 29 Jul 2021
Computational Techniques for Parameter Estimation of Gravitational Wave Signals R. Meyer M. Edwards P. Maturana-Russel N. Christensen 16 7 0 22 Sep 2020
Detection of gravitational-wave signals from binary neutron star mergers using machine learning Marlin B. Schäfer F. Ohme A. Nitz 19 33 0 02 Jun 2020
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification A. Iess E. Cuoco F. Morawski J. Powell 24 38 0 01 Jan 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 291 13,373 0 25 Aug 2014