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10/29/2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Uncertainty quantification for forward and inverse problems is a central...
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09/24/2019
Exascale Deep Learning for Scientific Inverse Problems
We introduce novel communication strategies in synchronous distributed D...
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08/15/2019
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance
We present Task Bench, a parameterized benchmark designed to explore the...
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10/03/2018