Tim Z. Xiao

According to our database, Tim Z. Xiao authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry.

Tim Z. Xiao, Weiyang Liu, Robert Bamler

CoRR, 2024

2023

The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch.

Tim Z. Xiao, Johannes Zenn, Robert Bamler

CoRR, 2023

Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models.

Tim Z. Xiao, Johannes Zenn, Robert Bamler

CoRR, 2023

Trading Information between Latents in Hierarchical Variational Autoencoders.

Tim Z. Xiao, Robert Bamler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Iterative Teaching by Data Hallucination.

Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Out-of-Distribution Detection with Class Ratio Estimation.

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

CoRR, 2022

Improving VAE-based Representation Learning.

Mingtian Zhang, Tim Z. Xiao, Brooks Paige, David Barber

CoRR, 2022

2021

Locally-Contextual Nonlinear CRFs for Sequence Labeling.

Harshil Shah, Tim Z. Xiao, David Barber

CoRR, 2021

2020

Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers.

Tim Z. Xiao, Aidan N. Gomez, Yarin Gal

CoRR, 2020