Shin, Donghyeok

8 publications

ICLR 2026 AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Lee Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon

ICLR 2026 AMiD: Knowledge Distillation for LLMs with $\alpha$-Mixture Assistant Distribution Donghyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, Il-chul Moon

ICLR 2026 Distillation of Large Language Models via Concrete Score Matching Yeongmin Kim, Donghyeok Shin, Mina Kang, Byeonghu Na, Il-chul Moon

NeurIPS 2025 Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-chul Moon

ICLR 2025 Distilling Dataset into Neural Field Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-chul Moon

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

NeurIPS 2023 Frequency Domain-Based Dataset Distillation Donghyeok Shin, Seungjae Shin, Il-chul Moon

AISTATS 2023 Loss-Curvature Matching for Dataset Selection and Condensation Seungjae Shin, Heesun Bae, Donghyeok Shin, Weonyoung Joo, Il-Chul Moon