Abstract
We present a novel algorithmic approach and an error analysis leveraging Quasi-Monte Carlo (QMC) points for training deep neural network (DNN) surrogates of holomorphic Data-to-Observable (DtO) map...
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Schedule a callMore From: SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics
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