25 citations · 29 across the 9 of their papers we have counts for
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cs.LG2019
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks
J. D. Curtó, I. C. Zarza, Kris Kitani +2
Dr. of Crosswise proposes a new architecture to reduce over-parametrization in Neural Networks. It introduces an operand for rapid computation in the framework of Deep Learning tha…
cs.LG2017★ 4 cited
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time
J. D. Curtó, I. C. Zarza, Feng Yang +4
McKernel introduces a framework to use kernel approximates in the mini-batch setting with Stochastic Gradient Descent (SGD) as an alternative to Deep Learning. Based on Random Kitc…