Kyle Helfrich

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 6

Top Topics

Orthogonal Polynomials

Recurrent Neural Networks

Short Term Memory

Lapped Transforms

Top Venues

J. Mach. Learn. Res.

Publications

Susanna Lange, Kyle Helfrich, Qiang Ye
Batch Normalization Preconditioning for Neural Network Training. J. Mach. Learn. Res. 23 (2022)
Susanna Lange, Kyle Helfrich, Qiang Ye
Batch Normalization Preconditioning for Neural Network Training. CoRR (2021)
Kyle Helfrich, Qiang Ye
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. AAAI (2020)
Kyle Helfrich, Qiang Ye
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. CoRR (2019)
Kyle Helfrich, Devin Willmott, Qiang Ye
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform. ICML (2018)
Kyle Helfrich, Devin Willmott, Qiang Ye
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform. CoRR (2017)