Zhang, Andi

7 publications

ICLR 2025 Improving Probabilistic Diffusion Models with Optimal Diagonal Covariance Matching Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber

CVPR 2025 Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis Boming Miao, Chunxiao Li, Xiaoxiao Wang, Andi Zhang, Rui Sun, Zizhe Wang, Yao Zhu

AISTATS 2025 Your Finetuned Large Language Model Is Already a Powerful Out-of-Distribution Detector Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik

NeurIPS 2024 Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective Andi Zhang, Mingtian Zhang, Damon Wischik

NeurIPSW 2022 Falsehoods That ML Researchers Believe About OOD Detection Andi Zhang, Damon Wischik

NeurIPSW 2022 OOD Detection with Class Ratio Estimation Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh

NeurIPS 2021 On the Out-of-Distribution Generalization of Probabilistic Image Modelling Mingtian Zhang, Andi Zhang, Steven McDonagh