Andi Zhang

According to our database, Andi Zhang authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Concept-based Adversarial Attack: a Probabilistic Perspective.

Andi Zhang, Xuan Ding, Steven McDonagh, Samuel Kaski

CoRR, July, 2025

Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching.

Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models.

Hossein Abdi, Mingfei Sun, Andi Zhang, Samuel Kaski, Wei Pan

CoRR, 2024

Learning to Discover Generalized Facial Expressions.

Tingzhang Luo, Yichao Liu, Yuanyuan Liu, Andi Zhang, Xin Wang, Chang Tang, Zhe Chen

CoRR, 2024

Diffusion Model With Optimal Covariance Matching.

Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber

CoRR, 2024

Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective.

Andi Zhang, Mingtian Zhang, Damon Wischik

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective.

Andi Zhang, Damon Wischik

CoRR, 2023

SR-OOD: Out-of-Distribution Detection via Sample Repairing.

Rui Sun, Andi Zhang, Haiming Zhang, Yao Zhu, Ruimao Zhang, Zhen Li

CoRR, 2023

2022

Falsehoods that ML researchers believe about OOD detection.

Andi Zhang, Damon Wischik

CoRR, 2022

Out-of-Distribution Detection with Class Ratio Estimation.

Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh

CoRR, 2022

2021

On the Out-of-distribution Generalization of Probabilistic Image Modelling.

Mingtian Zhang, Andi Zhang, Steven McDonagh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep.

Ran Guan, Andi Zhang, Mengchao Li, Yongliang Wang

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.

Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021