Ryan A. Robinett

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 9

Top Topics

Training Procedure

Directed Acyclic

Avoid Overfitting

Top Venues

IPDPS Workshops

Publications

Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi
GraphChallenge.org Sparse Deep Neural Network Performance. CoRR (2020)
Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi
GraphChallenge.org Sparse Deep Neural Network Performance. HPEC (2020)
Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi
Sparse Deep Neural Network Graph Challenge. HPEC (2019)
Jeremy Kepner, Ryan A. Robinett
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. IPDPS Workshops (2019)
Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi
Sparse Deep Neural Network Graph Challenge. CoRR (2019)
Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner
Training Behavior of Sparse Neural Network Topologies. HPEC (2019)
Ryan A. Robinett, Jeremy Kepner
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. CoRR (2019)
Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner
Pruned and Structurally Sparse Neural Networks. CoRR (2018)
Ryan A. Robinett, Jeremy Kepner
Neural Network Topologies for Sparse Training. CoRR (2018)