Byeonghu Na

1. Training Unbiased Diffusion Models From Biased Dataset
   2024/03/02 by Yeongmin Kim, Byeonghu Na, Kim, Yeongmin +11 · 3 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
2. Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
   2022/06/15 by JoonHo Jang, Byeonghu Na, Jang, JoonHo +9 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Diffusion Rejection Sampling
   2024/05/28 by Byeonghu Na, Yeongmin Kim, Na, Byeonghu +9 · 3 citations
   Engineering · Environmental Science · Medicine · #Asphalt Pavement Performance Evaluation #FOS: Computer and information sciences #Groundwater flow and contamination studies #Machine Learning (cs.LG) #Mycobacterium research and diagnosis
4. Multi-Agent Debate and Visual Information Extraction for SeePhys Pro: A 1st-Place Technical Report from ICML 2026 AI4Math Track 3 Challenge
   2026/07/24 by Jiseok Kwak, Suhyeon Jo, Taewoo Kim +3
   #cs.LG