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20072023
most citedA Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

15 citations · 30 across the 6 of their papers we have counts for

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Showing 2015Show all

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cs.DC2015★ 9 cited

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE

Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52

This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…