3 citations · 4 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2022
Investigation of process history and phenomenology of plutonium oxides using vector quantizing variational autoencoder
Connor Hainje, Cody Nizinski, Shane Jackson +6
Accurate, high throughput, and unbiased analysis of plutonium oxide particles is needed for analysis of the phenomenology associated with process parameters in their synthesis. Com…
cs.LG2022★ 3 cited
Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Sarah McGuire, Shane Jackson, Tegan Emerson +1
There is a growing body of work that leverages features extracted via topological data analysis to train machine learning models. While this field, sometimes known as topological m…