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Ruomin Zhu
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2020 – today
- 2024
- [c6]Skye Gunasekaran, Jason Eshraghian, Ruomin Zhu, Zdenka Kuncic:
Knowledge Distillation Through Time For Future Event Prediction. Tiny Papers @ ICLR 2024 - 2023
- [c5]Ruomin Zhu, Jason Eshraghian, Zdenka Kuncic:
Memristive Reservoirs Learn to Learn. ICONS 2023: 31:1-31:7 - [i1]Ruomin Zhu, Jason K. Eshraghian, Zdenka Kuncic:
Memristive Reservoirs Learn to Learn. CoRR abs/2306.12676 (2023) - 2021
- [j1]Alon Loeffler, Ruomin Zhu, Joel Hochstetter, Adrian Diaz-Alvarez, Tomonobu Nakayama, James M. Shine, Zdenka Kuncic:
Modularity and multitasking in neuro-memristive reservoir networks. Neuromorph. Comput. Eng. 1(1): 14003 (2021) - [c4]Ruomin Zhu, Alon Loeffler, Joel Hochstetter, Adrian Diaz-Alvarez, Tomonobu Nakayama, Adam Z. Stieg, James K. Gimzewski, Joseph T. Lizier, Zdenka Kuncic:
MNIST classification using Neuromorphic Nanowire Networks. ICONS 2021: 16:1-16:4 - 2020
- [c3]Ruomin Zhu, Joel Hochstetter, Alon Loeffler, Adrian Diaz-Alvarez, Adam Z. Stieg, James K. Gimzewski, Tomonobu Nakayama, Zdenka Kuncic:
Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning. ICRC 2020: 102-106 - [c2]Kaiwei Fu, Ruomin Zhu, Alon Loeffler, Joel Hochstetter, Adrian Diaz-Alvarez, Adam Z. Stieg, James K. Gimzewski, Tomonobu Nakayama, Zdenka Kuncic:
Reservoir Computing with Neuromemristive Nanowire Networks. IJCNN 2020: 1-8 - [c1]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:
Neuromorphic Information Processing with Nanowire Networks. ISCAS 2020: 1-5
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