Materials Imaging
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Latest papers with no code
Exascale Deep Learning for Scientific Inverse Problems
We introduce novel communication strategies in synchronous distributed Deep Learning consisting of decentralized gradient reduction orchestration and computational graph-aware grouping of gradient tensors.
