Search Results for author: Edison Mucllari

Found 1 papers, 1 papers with code

Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation

1 code implementation12 Aug 2022 Edison Mucllari, Vasily Zadorozhnyy, Cole Pospisil, Duc Nguyen, Qiang Ye

In recent years, using orthogonal matrices has been shown to be a promising approach in improving Recurrent Neural Networks (RNNs) with training, stability, and convergence, particularly, to control gradients.

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