Andi Zhang - RankMe

18 papers A* 3A 2C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Concept-based Adversarial Attack: a Probabilistic Perspective. CoRR Andi Zhang, Xuan Ding, Steven McDonagh, Samuel Kaski
2025	A*	`conf`	Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching. ICLR Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2025	J	`jnl`	Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout. CoRR Andi Zhang, Xuan Ding, Haofan Wang, Steven McDonagh, Samuel Kaski
2025	A	`conf`	Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. AISTATS Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik
2024	A*	`conf`	Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective. NeurIPS Andi Zhang, Mingtian Zhang, Damon Wischik
2024	J	`jnl`	Diffusion Model With Optimal Covariance Matching. CoRR Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2024	J	`jnl`	Learning to Discover Generalized Facial Expressions. CoRR Tingzhang Luo, Yichao Liu, Yuanyuan Liu, Andi Zhang, Xin Wang, Chang Tang, Zhe Chen
2024	J	`jnl`	LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models. CoRR Hossein Abdi, Mingfei Sun, Andi Zhang, Samuel Kaski, Wei Pan
2024	J	`jnl`	Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. CoRR Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik
2023	J	`jnl`	Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective. CoRR Andi Zhang, Damon Wischik
2023	J	`jnl`	SR-OOD: Out-of-Distribution Detection via Sample Repairing. CoRR Rui Sun, Andi Zhang, Haiming Zhang, Yao Zhu, Ruimao Zhang, Zhen Li
2022	J	`jnl`	Falsehoods that ML researchers believe about OOD detection. CoRR Andi Zhang, Damon Wischik
2022	J	`jnl`	Out-of-Distribution Detection with Class Ratio Estimation. CoRR Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh
2021	C	`conf`	Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep. IPIN Ran Guan, Andi Zhang, Mengchao Li, Yongliang Wang
2021	J	`jnl`	Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep. CoRR Ran Guan, Andi Zhang, Mengchao Li, Yongliang Wang
2021	A*	`conf`	On the Out-of-distribution Generalization of Probabilistic Image Modelling. NeurIPS Mingtian Zhang, Andi Zhang, Steven McDonagh
2021	J	`jnl`	On the Out-of-distribution Generalization of Probabilistic Image Modelling. CoRR Mingtian Zhang, Andi Zhang, Steven McDonagh
2021	A	`conf`	Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. BMVC Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu