Ryan Dellana

According to our database, Ryan Dellana authored at least 8 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

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

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 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, Ramesh Chettuvetty

Proceedings of the 2020 IEEE International Reliability Physics Symposium, 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Effective Pruning of Binary Activation Neural Networks.

William Severa, Ryan Dellana, Craig M. Vineyard

Proceedings of the International Conference on Neuromorphic Systems, 2020

2019

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

2018

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

2015

Back-Projective Priming: Toward Efficient 3d Model-based Object Recognition via Preemptive Top-down Constraints.

Ryan Dellana

Proceedings of the 26th Modern AI and Cognitive Science Conference 2015, 2015