55 citations · 105 across the 12 of their papers we have counts for
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cs.LG2021
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search
Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt +2
Neural network (NN) models are increasingly used in scientific simulations, AI, and other high performance computing (HPC) fields to extract knowledge from datasets. Each dataset r…
cs.LG2019★ 1 cited
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decisions
Danny Rorabaugh, Mario Guevara, Ricardo Llamas +3
The current availability of soil moisture data over large areas comes from satellite remote sensing technologies (i.e., radar-based systems), but these data have coarse resolution…