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Showing results 1 to 6 of 6

Conference
Adaptive neural recovery for highly robust brain-like representation
  • Poduval, Poduval ; 
  • Ni, Yang ; 
  • Kim, Yeseong ; 
  • Ni, Kai ; 
  • Kumar, Raghavan ; 
  • Cammarota, Rossario ; 
  • Imani, Mohsen
  • 2022-07-10
  • Poduval, Poduval. (2022-07-10). Adaptive neural recovery for highly robust brain-like representation. Design Automation Conference, 367–372. doi: 10.1145/3489517.3530659
  • Association for Computing Machinery
  • View : 47
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Conference
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge
  • Ni, Yang ; 
  • Kim, Yeseong ; 
  • Rosing, Tajana ; 
  • Imani, Mohsen
  • 2022-03-17
  • Ni, Yang. (2022-03-17). Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. Design Automation and Test in Europe Conference, 292–297. doi: 10.23919/DATE54114.2022.9774524
  • IEEE Council on Electronic Design Automation
  • View : 119
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Conference
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
  • Ni, Yang ; 
  • Kim, Yeseong ; 
  • Rosing, Tajana ; 
  • Imani, Mohsen
  • 2023-08-24
  • Ni, Yang. (2023-08-24). Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). International Joint Conference on Artificial Intelligence, 6474–6479. doi: 10.24963/ijcai.2023/723
  • International Joint Conferences on Artifical Intelligence (IJCAI)
  • View : 127
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Conference
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
  • Kwon, Hyukjun ; 
  • Kim, Kangwon ; 
  • Lee, Junyoung ; 
  • Lee, Hyunsei ; 
  • Kim, Jiseung ; 
  • Kim, Jinhyung ; 
  • Kim, Taehyung ; 
  • Kim, Yongnyeon ; 
  • Ni, Yang ; 
  • Imani, Mohsen ; 
    • et al
  • 2024-05-14
  • Kwon, Hyukjun. (2024-05-14). Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. IEEE International Conference on Robotics and Automation, 5176–5182. doi: 10.1109/ICRA57147.2024.10610176
  • IEEE Robotics and Automation Society
  • View : 55
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Conference
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing
  • Ni, Yang ; 
  • Abraham, Danny ; 
  • Issa, Mariam ; 
  • Kim, Yeseong ; 
  • Mercati, Pietro ; 
  • Imani, Mohsen
  • 2023-06-06
  • Ni, Yang. (2023-06-06). Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI, GLSVLSI 2023, 449–453. doi: 10.1145/3583781.3590298
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 166
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Conference
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization
  • Ni, Yang ; 
  • Kim, Yeseong ; 
  • Rosing, Tajana ; 
  • Imani, Mohsen
  • 2022-03-22
  • Ni, Yang. (2022-03-22). Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. Design Automation and Test in Europe Conference, 612–615. doi: 10.23919/DATE54114.2022.9774764
  • IEEE Council on Electronic Design Automation
  • View : 139
  • Download : 0
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