167 citations · 401 across the 11 of their papers we have counts for
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cs.LG2015★ 64 cited
Deconstructing the Ladder Network Architecture
Mohammad Pezeshki, Linxi Fan, Philemon Brakel +2
The Manual labeling of data is and will remain a costly endeavor. For this reason, semi-supervised learning remains a topic of practical importance. The recently proposed Ladder Ne…
cs.NE2015★ 9 cited
Sequence Modeling using Gated Recurrent Neural Networks
Mohammad Pezeshki
In this paper, we have used Recurrent Neural Networks to capture and model human motion data and generate motions by prediction of the next immediate data point at each time-step.…