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Minsuk Koo
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2020 – today
- 2024
- [j4]Jaesung Kim
, Jung Nam Kim, Yoon Kim, Sungmin Hwang
Design of a 180 nm CMOS Neuron Circuit with Soft-Reset and Underflow Allowing for Loss-Less Hardware Spiking Neural Networks. Adv. Intell. Syst. 6(1) (2024) - [c4]D. M. Bappy, Donghwa Kang, Jinkyu Lee, Youngmoon Lee, Minsuk Koo, Hyeongboo Baek:
Advanced Endoscopy Imaging with Automatic Feedback. ICPR (11) 2024: 62-78 - [c3]D. M. Bappy, Donghwa Kang, Jinkyu Lee, Youngmoon Lee, Minsuk Koo, Hyeongboo Baek:
Specular Region Detection and Covariant Feature Extraction. ICPR (12) 2024: 170-186 - 2021
- [i2]Amogh Agrawal, Mustafa Fayez Ali, Minsuk Koo, Nitin Rathi, Akhilesh Jaiswal, Kaushik Roy:
IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks. CoRR abs/2105.08217 (2021) - 2020
- [j3]Minsuk Koo
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2546-2555 (2020) - [j2]Amogh Agrawal
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020) - [i1]Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. CoRR abs/2002.11163 (2020)
2010 – 2019
- 2019
- [j1]Aayush Ankit
Powerline Communication for Enhanced Connectivity in Neuromorphic Systems. IEEE Trans. Very Large Scale Integr. Syst. 27(8): 1897-1906 (2019) - 2017
- [c2]Karthik Yogendra, Minsuk Koo, Kaushik Roy:
Energy efficient computation using injection locked bias-field free spin-hall nano-oscillator array with shared heavy metal. NANOARCH 2017: 89-94 - 2016
- [c1]Karthik Yogendra, Deliang Fan, Yong Shim, Minsuk Koo, Kaushik Roy:
Computing with coupled Spin Torque Nano Oscillators. ASP-DAC 2016: 312-317
Coauthor Index
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last updated on 2024-12-15 01:27 CET by the dblp team
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