Park, Yong-Hyun

5 publications

ICLR 2026 Concept-TRAK: Understanding How Diffusion Models Learn Concepts Through Concept Attribution Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji

ICLR 2025 Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji

NeurIPS 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee

NeurIPSW 2023 Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park, Junghoon Seo, Bomseok Park, Seongsu Lee, Junghyo Jo

NeurIPS 2023 Understanding the Latent Space of Diffusion Models Through the Lens of Riemannian Geometry Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh