Tim Z. Xiao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Compact Representations

Maximum Likelihood Estimator

Diffusion Models

Top Venues

Publications

Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. CoRR (2024)
Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
Diffusion Model With Optimal Covariance Matching. CoRR (2024)
Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu
Verbalized Machine Learning: Revisiting Machine Learning with Language Models. CoRR (2024)
Tim Z. Xiao, Weiyang Liu, Robert Bamler
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry. CoRR (2024)
Tim Z. Xiao, Robert Bamler
Trading Information between Latents in Hierarchical Variational Autoencoders. ICLR (2023)
Tim Z. Xiao, Johannes Zenn, Robert Bamler
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models. CoRR (2023)
Tim Z. Xiao, Johannes Zenn, Robert Bamler
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch. CoRR (2023)
Tim Z. Xiao, Robert Bamler
Trading Information between Latents in Hierarchical Variational Autoencoders. CoRR (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. AISTATS (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. CoRR (2022)
Mingtian Zhang, Tim Z. Xiao, Brooks Paige, David Barber
Improving VAE-based Representation Learning. CoRR (2022)
Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh
Out-of-Distribution Detection with Class Ratio Estimation. CoRR (2022)
Tim Z. Xiao, Aidan N. Gomez, Yarin Gal
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers. CoRR (2020)