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Showing results 1 to 8 of 8

Article
Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning
  • Kim, Jiseung ; 
  • Lee, Hyunsei ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2024-09
  • Kim, Jiseung. (2024-09). Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning. ACM Transactions on Design Automation of Electronic Systems, 29(5), 1–25. doi: 10.1145/3665891
  • Association for Computing Machinary
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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 : 80
  • Download : 0
Conference
CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing
  • 2021-12-05
  • Kim, Yeseong. (2021-12-05). CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. Design Automation Conference, 775–780. doi: 10.1109/DAC18074.2021.9586235
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 128
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Conference
Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI
  • Lee, Hyunsei ; 
  • Kim, Jiseung ; 
  • Chen, Hanning ; 
  • Zeira, Ariela ; 
  • Srinivasa, Narayan ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2023-07-13
  • Lee, Hyunsei. (2023-07-13). Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. Design Automation Conference, 23709098. doi: 10.1109/DAC56929.2023.10248004
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 127
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Conference
Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing
  • Lee, Hyunsei ; 
  • Kim, Jiseung ; 
  • Kim, Seohyun ; 
  • Kwon, Hyukjun ; 
  • Imani, Mohsen ; 
  • Suh, Ilhong ; 
  • Kim, Yeseong
  • 2024-11-20
  • Lee, Hyunsei. (2024-11-20). Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. IEEE International Conference on Computer Design, 707–714. doi: 10.1109/ICCD63220.2024.00113
  • IEEE Computer Society
  • View : 162
  • Download : 0
Conference
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation
  • Kim, Jiseung ; 
  • Lee, Hyunsei ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2023-04-18
  • Kim, Jiseung. (2023-04-18). Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. Design Automation and Test in Europe Conference. doi: 10.23919/DATE56975.2023.10137134
  • IEEE Council on Electronic Design Automation
  • View : 113
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Conference
Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning
  • Kim, Jiseung ; 
  • Lee, Hyunsei ; 
  • Rosing, Tajana ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2025-04-02
  • Design Automation and Test in Europe Conference, pp.1 - 2
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 237
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Conference
Towards Forward-Only Learning for Hyperdimensional Computing
  • Lee, Hyunsei ; 
  • Kwon, HyukJun ; 
  • Kim, Jiseung ; 
  • Kim, Seohyun ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2024-03-26
  • Lee, Hyunsei. (2024-03-26). Towards Forward-Only Learning for Hyperdimensional Computing. Design Automation and Test in Europe Conference, 1–2. doi: 10.23919/DATE58400.2024.10546643
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 250
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