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Byeongsu Sim
Byeongsu Sim
Verified email at kaist.ac.kr
Title
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Cited by
Year
Improving diffusion models for inverse problems using manifold constraints
H Chung, B Sim, D Ryu, JC Ye
Advances in Neural Information Processing Systems 35, 25683-25696, 2022
1872022
Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction
H Chung, B Sim, JC Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1202022
Unpaired deep learning for accelerated MRI using optimal transport driven CycleGAN
G Oh, B Sim, HJ Chung, L Sunwoo, JC Ye
IEEE Transactions on Computational Imaging 6, 1285-1296, 2020
842020
Optimal transport driven CycleGAN for unsupervised learning in inverse problems
B Sim, G Oh, J Kim, C Jung, JC Ye
SIAM Journal on Imaging Sciences 13 (4), 2281-2306, 2020
662020
CycleGAN with a blur kernel for deconvolution microscopy: Optimal transport geometry
S Lim, H Park, SE Lee, S Chang, B Sim, JC Ye
IEEE Transactions on Computational Imaging 6, 1127-1138, 2020
432020
Optimal transport, cyclegan, and penalized ls for unsupervised learning in inverse problems
B Sim, G Oh, S Lim, JC Ye
232019
Optimal transport structure of CycleGAN for unsupervised learning for inverse problems
B Sim, G Oh, JC Ye
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
92020
Unsupervised learning for compressed sensing MRI using cycleGAN
G Oh, B Sim, JC Ye
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1082-1085, 2020
52020
Magnitude and Angle Dynamics in Training Single ReLU Neurons
S Lee, B Sim, JC Ye
arXiv preprint arXiv:2209.13394, 2022
2022
Support Vectors and Gradient Dynamics of Single-Neuron ReLU Networks
S Lee, B Sim, JC Ye
arXiv preprint arXiv:2202.05510, 2022
2022
Unsupervised learning method for general inverse problem and apparatus therefor
YE JongChul, B Sim, G Oh
US Patent App. 17/332,696, 2022
2022
Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks.
S Lee, B Sim, JC Ye
CoRR, 2022
2022
IMPROVING INVERSE PROBLEM SOLVERS BASED ON GEOMETRIC UNDERSTANDING OF DIFFUSION GENERATIVE MODELS
H CHUNG, B SIM, JC YE
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Articles 1–13