15 citations · 23 across the 6 of their papers we have counts for
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cs.LG2023★ 15 cited
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander +1
The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions is…
cs.LG2020★ 4 cited
Optimal Learning for Sequential Decisions in Laboratory Experimentation
Kristopher Reyes, Warren B Powell
The process of discovery in the physical, biological and medical sciences can be painstakingly slow. Most experiments fail, and the time from initiation of research until a new adv…