Sim, Byeongsu

1. Improving Diffusion Models for Inverse Problems using Manifold Constraints
   2022/06/02 by Hyungjin Chung, Byeongsu Sim, Chung, Hyungjin +5 · 1 voice · 54 citations
   Computer Science · Mathematics · Medicine · #Advanced Mathematical Modeling in Engineering #Advanced Neuroimaging Techniques and Applications #Numerical methods in inverse problems #cs.AI #cs.CV #cs.LG #stat.ML
2. Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models\n for Inverse Problems through Stochastic Contraction
   2021/12/08 by Hyungjin Chung, Chung, Hyungjin, Byeongsu Sim +3 · 21 citations
   Mathematics · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical methods in inverse problems #electronic engineering #information engineering
3. Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
   2020/08/29 by Oh, Gyutaek, Sim, Byeongsu, Chung, Hyungjin +2 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
4. Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
   2024/11/22 by Kim, Won Jun, Chung, Hyungjin, Kim, Jaemin +3 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems
   2019/09/25 by Byeongsu Sim, Gyutaek Oh, Sim, Byeongsu +7 · 2 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Advanced Image Processing Techniques
6. PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
   2025/03/10 by Kim, Kwanyoung, Sim, Byeongsu · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)