129 citations · 144 across the 3 of their papers we have counts for
3 papers
Understanding Locally Competitive Networks
Rupesh Kumar Srivastava, Jonathan Masci, Faustino Gomez +1
Recently proposed neural network activation functions such as rectified linear, maxout, and local winner-take-all have allowed for faster and more effective training of deep neural…
Kernel-based Information Criterion
Somayeh Danafar, Kenji Fukumizu, Faustino Gomez
This paper introduces Kernel-based Information Criterion (KIC) for model selection in regression analysis. The novel kernel-based complexity measure in KIC efficiently computes the…
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn Stollenga, Jonathan Masci, Faustino Gomez +1
Traditional convolutional neural networks (CNN) are stationary and feedforward. They neither change their parameters during evaluation nor use feedback from higher to lower layers.…