Wu, Weimin

5 publications

ICML 2025 In-Context Deep Learning via Transformer Models Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu

ICML 2025 In-Context Learning as Conditioned Associative Memory Retrieval Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu

ICLR 2025 On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu

ICLRW 2025 Statistical Foundations of Conditional Diffusion Transformers Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu

NeurIPS 2024 On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song, Han Liu