International Conference
[8] Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models (LiDAR)
Yeongmin Kim, Donghyeok Shin, Byeonghu Na, Minsang Park, Richard Lee Kim, Il-chul Moon
ICML 2026 (Forty-Third International Conference on Machine Learning) - Spotlight
[paper]
[7] AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis Hastings Algorithm (AC-Sampler)
Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Lee Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon
[6] Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models (STG)
Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-chul Moon
NeurIPS 2025
[5] Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models (DATE)
Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-chul Moon
[4] Diffusion Bridge AutoEncoders for Unsupervised Representation Learning (DBAE)
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon
ICLR 2025 (The Thirteenth International Conference on Learning Representations) - Spotlight
[3] Diffusion Rejection Sampling (DiffRS)
Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, and Il-Chul Moon
ICML 2024 (International Conference on Machine Learning)
[2] Training Unbiased Diffusion models from Biased Dataset (TIW-DSM)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, and Il-Chul Moon
ICLR 2024 (The Twelfth International Conference on Learning Representations)
[1] Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City
Tae Sub Yun, Minsang Park, Il-Chul Moon
ANNSIM 2023 (Annual Modeling and Simulation Conference )
Under Review
[9] LACE: Latent Energy Shaping for Controlled Text Generation
Suhyeon Jo, Minsang Park, Il-Chul Moon
Under review