| 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 | 369 | 2022 |
| 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 | 328* | 2022 |
| 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 | 103 | 2020 |
| 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 | 93* | 2020 |
| 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 | 48 | 2020 |
| 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 | 10 | 2020 |
| 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 | 6 | 2020 |
| Magnitude and angle dynamics in training single ReLU neurons S Lee, B Sim, JC Ye Neural Networks, 106435, 2024 | 1 | 2024 |
| Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI WJ Kim, H Chung, J Kim, S Lee, B Sim, JC Ye arXiv preprint arXiv:2411.15265, 2024 | | 2024 |
| 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 | | |
