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Using machine learning to parametrize postmerger signals from binary neutron stars

Using machine learning to parametrize postmerger signals from binary neutron stars

Tim Whittaker
W. East
Stephen R. Green
L. Lehner
Huan Yang
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Papers citing "Using machine learning to parametrize postmerger signals from binary neutron stars"

3 / 3 papers shown
Title
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin
Qingquan Song
Xia Hu
99
806
0
27 Jun 2018
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
108
2,360
0
19 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
450
16,933
0
20 Dec 2013

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