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Yang Ni
Publications
- 2023
- [c44]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI 2023: 449-453 - [c42]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI 2023: 6474-6479 - 2022
- [c40]Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani:
Adaptive neural recovery for highly robust brain-like representation. DAC 2022: 367-372 - [c38]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE 2022: 292-297 - [c37]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE 2022: 612-615 - [i4]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR abs/2205.06978 (2022)
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