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Title: On the design and evaluation of generative models in high energy density physics

Journal Article · · Communications Physics

Not Available

Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
2497371
Journal Information:
Communications Physics, Journal Name: Communications Physics Journal Issue: 1 Vol. 8; ISSN 2399-3650
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United Kingdom
Language:
English

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Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields journal January 2019
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Mitigating the Filter Bubble While Maintaining Relevance conference July 2022
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CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks journal May 2019
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The JAG inertial confinement fusion simulation dataset for multi-modal scientific deep learning. In Lawrence Livermore National Laboratory (LLNL) Open Data Initiative dataset January 2020

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