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Image-based deep learning for classification of noise transients in
  gravitational wave detectors

Image-based deep learning for classification of noise transients in gravitational wave detectors

27 March 2018
M. Razzano
E. Cuoco
ArXivPDFHTML

Papers citing "Image-based deep learning for classification of noise transients in gravitational wave detectors"

5 / 5 papers shown
Title
Dilated convolutional neural network for detecting extreme-mass-ratio
  inspirals
Dilated convolutional neural network for detecting extreme-mass-ratio inspirals
Tianyu Zhao
Yue Zhou
Ruijun Shi
Zhoujian Cao
Zhixiang Ren
6
6
0
31 Aug 2023
Boosting the Efficiency of Parametric Detection with Hierarchical Neural
  Networks
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
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning
  Classification
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification
A. Iess
E. Cuoco
F. Morawski
J. Powell
22
38
0
01 Jan 2020
Convolutional neural networks: a magic bullet for gravitational-wave
  detection?
Convolutional neural networks: a magic bullet for gravitational-wave detection?
Timothy D. Gebhard
Niki Kilbertus
I. Harry
Bernhard Schölkopf
17
91
0
18 Apr 2019
Reduced-order modeling with artificial neurons for gravitational-wave
  inference
Reduced-order modeling with artificial neurons for gravitational-wave inference
A. J. Chua
C. Galley
M. Vallisneri
19
51
0
13 Nov 2018
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