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Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments
  Using Machine Learning

Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning

8 October 2020
Julia B. Nakhleh
M. G. Fernández-Godino
M. Grosskopf
B. Wilson
J. Kline
G. Srinivasan
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Papers citing "Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning"

2 / 2 papers shown
Title
Identifying Entangled Physics Relationships through Sparse Matrix
  Decomposition to Inform Plasma Fusion Design
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design
Maria Fernandez
M. Grosskopf
Julia B. Nakhleh
B. Wilson
J. Kline
G. Srinivasan
8
7
0
28 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,698
0
28 Feb 2017
1