Kim, Yeongmin

14 publications

CVPR 2025 Autoregressive Distillation of Diffusion Transformers Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali Thabet, Artsiom Sanakoyeu

ICLRW 2025 Capturing Functional Context of Genetic Pathways Through Hyperedge Disentanglement Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

ICLR 2025 Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon

NeurIPS 2025 Disentangling Hyperedges Through the Lens of Category Theory Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

CVPR 2025 FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali Thabet, Edgar Schönfeld

ICML 2025 Global Context-Aware Representation Learning for Spatially Resolved Transcriptomics Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park

NeurIPS 2025 Preference Optimization by Estimating the Ratio of the Data Distribution Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-chul Moon

ICMLW 2024 DPO-Finetuned Large Multi-Modal Planner with Retrieval-Augmented Generation @ EgoPlan Challenge ICML 2024 Kwanghyeon Lee, Mina Kang, Hyungho Na, HeeSun Bae, Byeonghu Na, Doyun Kwon, Seungjae Shin, Yeongmin Kim, Kim Taewoo, Seungmin Yun, Il-chul Moon

ICML 2024 Diffusion Rejection Sampling Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, Il-Chul Moon

ICLR 2024 Label-Noise Robust Diffusion Models Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon

ICLR 2024 Training Unbiased Diffusion Models from Biased Dataset Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon

ICML 2023 Refining Generative Process with Discriminator Guidance in Score-Based Diffusion Models Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

ICML 2023 SAAL: Sharpness-Aware Active Learning Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

NeurIPSW 2022 Unsupervised Controllable Generation with Score-Based Diffusion Models: Disentangled Latent Code Guidance Yeongmin Kim, Dongjun Kim, HyeonMin Lee, Il-chul Moon