Back-Projective Priming: Toward Efficient 3d Model-based Object Recognition via Preemptive Top-down Constraints. - Ryan Dellana (MAICS, 2015)

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. - William Severa; Craig M. Vineyard; Ryan Dellana; Stephen J. Verzi; James B. Aimone (CoRR, 2018)

Training deep neural networks for binary communication with the Whetstone method. - William Severa; Craig M. Vineyard; Ryan Dellana; Stephen J. Verzi; James B. Aimone (Nat. Mach. Intell., 2019)

Effective Pruning of Binary Activation Neural Networks. - William Severa; Ryan Dellana; Craig M. Vineyard (ICONS, 2020)

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. - Maryam Parsa; Catherine D. Schuman; Prasanna Date; Derek C. Rose; Bill Kay; J. Parker Mitchell; Steven R. Young; Ryan Dellana; William Severa; Thomas E. Potok; Kaushik Roy 001 (IJCNN, 2020)

Device-aware inference operations in SONOS nonvolatile memory arrays. - Christopher H. Bennett; T. Patrick Xiao; Ryan Dellana; Ben Feinberg; Sapan Agarwal; Matthew J. Marinella; Vineet Agrawal; Venkatraman Prabhakar; Krishnaswamy Ramkumar; Long Hinh; Swatilekha Saha; Vijay Raghavan; et al. (IRPS, 2020)

Evaluating complexity and resilience trade-offs in emerging memory inference machines. - Christopher H. Bennett; Ryan Dellana; T. Patrick Xiao; Ben Feinberg; Sapan Agarwal; Suma Cardwell; Matthew J. Marinella; William Severa; Brad Aimone (NICE, 2020)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)