2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models
John S. Hyatt
In the absence of conditioning information, normalizing flow models are trained using maximum likelihood. Previous extensions to conditional settings have abandoned the simple maxi…
cs.LG2019★ 1 cited
Requirements for Developing Robust Neural Networks
John S. Hyatt, Michael S. Lee
Validation accuracy is a necessary, but not sufficient, measure of a neural network classifier's quality. High validation accuracy during development does not guarantee that a mode…