activity
20012022
most citedImproving RNA secondary structure prediction via state inference with deep recurrent neural networks

29 citations · 73 across the 13 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

stat.ML2017★ 13 cited

Orthogonal Recurrent Neural Networks with Scaled Cayley Transform

Kyle Helfrich, Devin Willmott, Qiang Ye

Recurrent Neural Networks (RNNs) are designed to handle sequential data but suffer from vanishing or exploding gradients. Recent work on Unitary Recurrent Neural Networks (uRNNs) h…

math.NA2017★ 2 cited

Preconditioning for Accurate Solutions of Linear Systems and Eigenvalue Problems

Qiang Ye

This paper develops the preconditioning technique as a method to address the accuracy issue caused by ill-conditioning. Given a preconditioner for an ill-conditioned linear sys…