Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
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97 MATHEMATICS AND COMPUTING↗
Engineering topics
Pouchard, Line
Publications and source records attributed to Pouchard, Line.
A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows
The capability to replicate the predictions by machine learning (ML) or artificial intelligence (AI) models and the results in scientific workflows that incorporate such ML/AI predictions is driven by a variety of factors.
97 MATHEMATICS AND COMPUTING↗