← Search

Chung-Hao Lee

1 accepted papers

2026

CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization

CVPR 2026

Causal graphs play a crucial role in AI research as they reveal the data generation processes underlying real-world machine learning and computer vision tasks. Recent studies have leveraged causal graphs to develop more robust and interpretable models. However, limited or biased data often lead to i

Cited by 0SourceScholar