Na, Byeonghu

16 publications

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

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

NeurIPS 2025 Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, 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 Dirichlet-Based Per-Sample Weighting by Transition Matrix for Noisy Label Learning HeeSun Bae, Seungjae Shin, Byeonghu Na, 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

ICLR 2024 Unknown Domain Inconsistency Minimization for Domain Generalization Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, 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

ICML 2022 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae, Seungjae Shin, Byeonghu Na, Joonho Jang, Kyungwoo Song, Il-Chul Moon

ICMLW 2022 Improving Group-Based Robustness and Calibration via Ordered Risk and Confidence Regularization Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon

NeurIPS 2022 Maximum Likelihood Training of Implicit Nonlinear Diffusion Model Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-chul Moon

ECCV 2022 Multi-Modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features Byeonghu Na, Yoonsik Kim, Sungrae Park

NeurIPS 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-chul Moon