Byeongsu Sim - RankMe

18 papers A* 3Misc 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reward Sharpness-Aware Fine-Tuning for Diffusion Models. CoRR Kwanyoung Kim, Byeongsu Sim
2025	A*	`conf`	Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. CVPR Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2025	J	`jnl`	PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity. CoRR Kwanyoung Kim, Byeongsu Sim
2024	J	`jnl`	Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. CoRR Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2024	J	`jnl`	Magnitude and angle dynamics in training single ReLU neurons. Neural Networks Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2022	A*	`conf`	Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
2022	A*	`conf`	Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
2022	J	`jnl`	Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
2022	J	`jnl`	Magnitude and Angle Dynamics in Training Single ReLU Neurons. CoRR Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2022	J	`jnl`	Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. CoRR Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2021	J	`jnl`	Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CoRR Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
2020	J	`jnl`	CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. IEEE Trans. Computational Imaging Sungjun Lim, Hyoungjun Park, Sang-Eun Lee, Sunghoe Chang, Byeongsu Sim, Jong Chul Ye
2020	J	`jnl`	Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems. SIAM J. Imaging Sci. Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye
2020	Misc	`conf`	Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. ICASSP Byeongsu Sim, Gyutaek Oh, Jong Chul Ye
2020	J	`jnl`	Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. IEEE Trans. Computational Imaging Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
2020	J	`jnl`	Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN. CoRR Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
2020	—	`conf`	Unsupervised Learning for Compressed Sensing MRI Using Cyclegan. ISBI Gyutaek Oh, Byeongsu Sim, Jong Chul Ye
2019	J	`jnl`	Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems. CoRR Byeongsu Sim, Gyutaek Oh, Sungjun Lim, Jong Chul Ye