License

LLNL-CODE-753346. This work was produced under the auspices of the 
U.S. Department of Energy by Lawrence Livermore National Laboratory 
under Contract DE-AC52-07NA27344.

This work has been supported in part by the Joint Design of Advanced 
Computing Solutions for Cancer (JDACS4C) program established by the U.S. 
Department of Energy (DOE) and the National Cancer Institute (NCI) of 
the National Institutes of Health.

This work was prepared as an account of work sponsored by an agency of 
the United States Government. Neither the United States Government nor 
Lawrence Livermore National Security, LLC, nor any of their employees 
makes any warranty, expressed or implied, or assumes any legal liability 
or responsibility for the accuracy, completeness, or usefulness of any 
information, apparatus, product, or process disclosed, or represents 
that its use would not infringe privately owned rights. Reference herein 
to any specific commercial product, process, or service by trade name, 
trademark, manufacturer, or otherwise does not necessarily constitute or 
imply its endorsement, recommendation, or favoring by the United States 
Government or Lawrence Livermore National Security, LLC. The views and 
opinions of authors expressed herein do not necessarily state or reflect 
those of the United States Government or Lawrence Livermore National 
Security, LLC, and shall not be used for advertising or product endorsement 
purposes.



MIT License

	Copyright (c) 2018, Lawrence Livermore National Security, LLC. Produced at the Lawrence Livermore National Laboratory
  
  	Written by Ya Ju Fan, fan4@llnl.gov. 

  	All rights reserved.

  	This file is part of ANS, Autoencoder Node Saliency. For details, see https://github.com/LLNL/ANS/. 


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