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Extensive Studies of the Neutron Star Equation of State from the Deep
  Learning Inference with the Observational Data Augmentation

Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation

20 January 2021
Yuki Fujimoto
K. Fukushima
K. Murase
    BDL
ArXivPDFHTML

Papers citing "Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation"

2 / 2 papers shown
Title
Machine Learning in Nuclear Physics
Machine Learning in Nuclear Physics
A. Boehnlein
M. Diefenthaler
C. Fanelli
M. Hjorth-Jensen
T. Horn
...
M. Schram
A. Scheinker
Michael S. Smith
Xin-Nian Wang
Veronique Ziegler
AI4CE
47
41
0
04 Dec 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1