401 citations · 807 across the 8 of their papers we have counts for
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cs.LG2019
A Linear Systems Theory of Normalizing Flows
Reuben Feinman, Nikhil Parthasarathy
Normalizing Flows are a promising new class of algorithms for unsupervised learning based on maximum likelihood optimization with change of variables. They offer to learn a factori…
cs.CV2019★ 3 cited
Learning a smooth kernel regularizer for convolutional neural networks
Reuben Feinman, Brenden M. Lake
Modern deep neural networks require a tremendous amount of data to train, often needing hundreds or thousands of labeled examples to learn an effective representation. For these ne…