Ryan A. Robinett

11 papers Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning. CoRR Ryan A. Robinett, Sophia A. Madejski, Kyle Ruark, Samantha J. Riesenfeld, Lorenzo Orecchia
2025	J	`jnl`	Manifold learning and optimization using tangent space proxies. CoRR Ryan A. Robinett, Lorenzo Orecchia, Samantha J. Riesenfeld
2020	—	`conf`	GraphChallenge.org Sparse Deep Neural Network Performance. HPEC Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi
2020	J	`jnl`	GraphChallenge.org Sparse Deep Neural Network Performance. CoRR Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi
2019	—	`conf`	RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. IPDPS Workshops Jeremy Kepner, Ryan A. Robinett
2019	J	`jnl`	RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. CoRR Ryan A. Robinett, Jeremy Kepner
2019	—	`conf`	Sparse Deep Neural Network Graph Challenge. HPEC Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi
2019	J	`jnl`	Sparse Deep Neural Network Graph Challenge. CoRR Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi
2019	—	`conf`	Training Behavior of Sparse Neural Network Topologies. HPEC Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner
2018	J	`jnl`	Neural Network Topologies for Sparse Training. CoRR Ryan A. Robinett, Jeremy Kepner
2018	J	`jnl`	Pruned and Structurally Sparse Neural Networks. CoRR Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner