U.S. Department of EnergyOffice of Scientific and Technical Information
Bayesian analysis with deep jointly-informed neural networks
- Authors:
-
- Lawrence Livermore National Laboratory
- University of Notre Dame
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1650441
- Report Number(s):
- LLNL-PROC-752360
938424
- DOE Contract Number:
- AC52-07NA27344
- Resource Type:
- Conference
- Resource Relation:
- Conference: Santa Fe, NM, United States
- Country of Publication:
- United States
- Language:
- English
- Subject:
- Physics
Citation Formats
Humbird, K D, Peterson, J L, and McClarren, R G. Bayesian analysis with deep jointly-informed neural networks. United States: N. p., 2018.
Web.
Humbird, K D, Peterson, J L, & McClarren, R G. Bayesian analysis with deep jointly-informed neural networks. United States.
Humbird, K D, Peterson, J L, and McClarren, R G. 2018.
"Bayesian analysis with deep jointly-informed neural networks". United States. https://www.osti.gov/servlets/purl/1650441.
@article{osti_1650441,
title = {Bayesian analysis with deep jointly-informed neural networks},
author = {Humbird, K D and Peterson, J L and McClarren, R G},
abstractNote = {},
doi = {},
url = {https://www.osti.gov/biblio/1650441},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed May 30 00:00:00 EDT 2018},
month = {Wed May 30 00:00:00 EDT 2018}
}
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