Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning. - Ruomin Zhu; Joel Hochstetter; Alon Loeffler; Adrian Diaz-Alvarez; Adam Z. Stieg; James K. Gimzewski; Tomonobu Nakayama; Zdenka Kuncic (ICRC, 2020)

Reservoir Computing with Neuromemristive Nanowire Networks. - Kaiwei Fu; Ruomin Zhu; Alon Loeffler; Joel Hochstetter; Adrian Diaz-Alvarez; Adam Z. Stieg; James K. Gimzewski; Tomonobu Nakayama; Zdenka Kuncic (IJCNN, 2020)

Neuromorphic Information Processing with Nanowire Networks. - Zdenka Kuncic; Omid Kavehei; Ruomin Zhu; Alon Loeffler; Kaiwei Fu; Joel Hochstetter; Mike Li; James M. Shine; Adrian Diaz-Alvarez; Adam Z. Stieg; James K. Gimzewski; Tomonobu Nakayama (ISCAS, 2020)

MNIST classification using Neuromorphic Nanowire Networks. - Ruomin Zhu; Alon Loeffler; Joel Hochstetter; Adrian Diaz-Alvarez; Tomonobu Nakayama; Adam Z. Stieg; James K. Gimzewski; Joseph T. Lizier; Zdenka Kuncic (ICONS, 2021)

Modularity and multitasking in neuro-memristive reservoir networks. - Alon Loeffler; Ruomin Zhu; Joel Hochstetter; Adrian Diaz-Alvarez; Tomonobu Nakayama; James M. Shine; Zdenka Kuncic (Neuromorph. Comput. Eng., 2021)

Memristive Reservoirs Learn to Learn. - Ruomin Zhu; Jason Eshraghian; Zdenka Kuncic (ICONS, 2023)

Knowledge Distillation Through Time For Future Event Prediction. - Skye Gunasekaran; Jason Eshraghian; Ruomin Zhu; Zdenka Kuncic (Tiny Papers @ ICLR, 2024)