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ORCIDByeongsu Sim
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Journal Articles
- 2024
[j4]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Magnitude and angle dynamics in training single ReLU neurons. Neural Networks 178: 106435 (2024)- 2020
- [j3]Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye
:
Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems. SIAM J. Imaging Sci. 13(4): 2281-2306 (2020) - [j2]Sungjun Lim, Hyoungjun Park, Sang-Eun Lee, Sunghoe Chang, Byeongsu Sim, Jong Chul Ye:
CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. IEEE Trans. Computational Imaging 6: 1127-1138 (2020) - [j1]Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye:
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. IEEE Trans. Computational Imaging 6: 1285-1296 (2020)
Conference and Workshop Papers
- 2022
- [c4]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR 2022: 12403-12412 - [c3]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS 2022 - 2020
- [c2]Byeongsu Sim, Gyutaek Oh, Jong Chul Ye:
Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. ICASSP 2020: 8644-8647 - [c1]Gyutaek Oh, Byeongsu Sim, Jong Chul Ye:
Unsupervised Learning for Compressed Sensing MRI Using Cyclegan. ISBI 2020: 1082-1085
Informal and Other Publications
- 2022
- [i6]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. CoRR abs/2202.05510 (2022) - [i5]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR abs/2206.00941 (2022) - [i4]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Magnitude and Angle Dynamics in Training Single ReLU Neurons. CoRR abs/2209.13394 (2022) - 2021
- [i3]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CoRR abs/2112.05146 (2021) - 2020
- [i2]Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye:
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN. CoRR abs/2008.12967 (2020) - 2019
- [i1]Byeongsu Sim, Gyutaek Oh, Sungjun Lim, Jong Chul Ye:
Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems. CoRR abs/1909.12116 (2019)
Coauthor Index
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