Byunggook Na

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Neural Architectures

Biologically Plausible

Homomorphic Encryption

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis. NeurIPS (2023)
Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon
Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. AsiaCCS (2022)
Jongwan Kim, Dongjin Lee, Byunggook Na, Seongsik Park, Jeonghee Jo, Sungroh Yoon
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations. CoRR (2022)
Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR (2022)
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML (2022)
Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR (2022)
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR (2022)
Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon
Scalable Smartphone Cluster for Deep Learning. CoRR (2021)
Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
AdvRush: Searching for Adversarially Robust Neural Architectures. CoRR (2021)
Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon
Variance-stationary Differentiable NAS. BMVC (2021)
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
Accelerating Neural Architecture Search via Proxy Data. CoRR (2021)
Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
AdvRush: Searching for Adversarially Robust Neural Architectures. ICCV (2021)
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
Accelerating Neural Architecture Search via Proxy Data. IJCAI (2021)
Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering. IEEE Trans. Very Large Scale Integr. Syst. 29 (1) (2021)
Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon
Personalized Face Authentication Based On Few-Shot Meta-Learning. ICIP (2021)
Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon
Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization. IEEE Access 9 (2021)
Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. CoRR (2020)
Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC (2020)
Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI (2020)
Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. CoRR (2019)
Jaehee Jang, Byunggook Na, Sungroh Yoon
Homomorphic Parameter Compression for Distributed Deep Learning Training. CoRR (2017)
Byunghan Lee, Taehoon Lee, Byunggook Na, Sungroh Yoon
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks. CoRR (2015)