172 citations · 228 across the 24 of their papers we have counts for
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cs.LG2020
Locally Linear Attributes of ReLU Neural Networks
Ben Sattelberg, Renzo Cavalieri, Michael Kirby +2
A ReLU neural network determines/is a continuous piecewise linear map from an input space to an output space. The weights in the neural network determine a decomposition of the inp…
cs.CV2020★ 1 cited
The flag manifold as a tool for analyzing and comparing data sets
Xiaofeng Ma, Michael Kirby, Chris Peterson
The shape and orientation of data clouds reflect variability in observations that can confound pattern recognition systems. Subspace methods, utilizing Grassmann manifolds, have be…
cs.LG2020★ 7 cited
Supervised Dimensionality Reduction and Visualization using Centroid-encoder
Tomojit Ghosh, Michael Kirby
Visualizing high-dimensional data is an essential task in Data Science and Machine Learning. The Centroid-Encoder (CE) method is similar to the autoencoder but incorporates label i…