Tim Z. Xiao

According to our database1, Tim Z. Xiao authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Can Large Language Models Understand Symbolic Graphics Programs?
CoRR, 2024

Diffusion Model With Optimal Covariance Matching.
CoRR, 2024

Verbalized Machine Learning: Revisiting Machine Learning with Language Models.
CoRR, 2024

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector.
CoRR, 2024

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry.
CoRR, 2024

2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch.
CoRR, 2023

Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models.
CoRR, 2023

Trading Information between Latents in Hierarchical Variational Autoencoders.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Iterative Teaching by Data Hallucination.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Out-of-Distribution Detection with Class Ratio Estimation.
CoRR, 2022

Improving VAE-based Representation Learning.
CoRR, 2022

2021
Locally-Contextual Nonlinear CRFs for Sequence Labeling.
CoRR, 2021

2020
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers.
CoRR, 2020


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