1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Probing neural networks with t-SNE, class-specific projections and a guided tour
Christopher R. Hoyt, Art B. Owen
We use graphical methods to probe neural nets that classify images. Plots of t-SNE outputs at successive layers in a network reveal increasingly organized arrangement of the data p…
stat.ME2020
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification
Christopher Hoyt, Art B. Owen
The mean dimension of a black box function of variables is a convenient way to summarize the extent to which it is dominated by high or low order interactions. It is expressed…
math.NA2019
Mean Dimension of Ridge Functions
Christopher R. Hoyt, Art B. Owen
We consider the mean dimension of some ridge functions of spherical Gaussian random vectors of dimension . If the ridge function is Lipschitz continuous, then the mean dimension…