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A Rigorous Uncertainty-Aware Quantification Framework Is Essential for
  Reproducible and Replicable Machine Learning Workflows
v1v2v3 (latest)

A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

13 January 2023
Line C. Pouchard
Kristofer G. Reyes
Francis J. Alexander
Byung-Jun Yoon
ArXiv (abs)PDFHTML

Papers citing "A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows"

1 / 1 papers shown
Title
A Framework for Strategic Discovery of Credible Neural Network Surrogate
  Models under Uncertainty
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
Pratyush Kumar Singh
Kathryn A. Farrell-Maupin
D. Faghihi
80
8
0
13 Mar 2024
1