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Xiao, Tim Z.
17 publications
TMLR
2025
A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data and Overparameterization?
Tim Z. Xiao
,
Johannes Zenn
,
Robert Bamler
ICLR
2025
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu
,
Weiyang Liu
,
Haiwen Feng
,
Zhen Liu
,
Tim Z. Xiao
,
Katherine M. Collins
,
Joshua B. Tenenbaum
,
Adrian Weller
,
Michael J. Black
,
Bernhard Schölkopf
ICLR
2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
,
Tim Z. Xiao
,
Weiyang Liu
,
Yoshua Bengio
,
Dinghuai Zhang
TMLR
2025
Generating Symbolic World Models via Test-Time Scaling of Large Language Models
Zhouliang Yu
,
Yuhuan Yuan
,
Tim Z. Xiao
,
Fuxiang Frank Xia
,
Jie Fu
,
Ge Zhang
,
Ge Lin
,
Weiyang Liu
ICLRW
2025
Generating Symbolic World Models via Test-Time Scaling of Large Language Models
Zhouliang Yu
,
Yuhuan Yuan
,
Tim Z. Xiao
,
Fuxiang Frank Xia
,
Jie Fu
,
Ge Zhang
,
Ge Lin
,
Weiyang Liu
ICLR
2025
Improving Probabilistic Diffusion Models with Optimal Diagonal Covariance Matching
Zijing Ou
,
Mingtian Zhang
,
Andi Zhang
,
Tim Z. Xiao
,
Yingzhen Li
,
David Barber
NeurIPS
2025
Reparameterized LLM Training via Orthogonal Equivalence Transformation
Zeju Qiu
,
Simon Buchholz
,
Tim Z. Xiao
,
Maximilian Dax
,
Bernhard Schölkopf
,
Weiyang Liu
NeurIPS
2025
Value Gradient Guidance for Flow Matching Alignment
Zhen Liu
,
Tim Z. Xiao
,
Carles Domingo-Enrich
,
Weiyang Liu
,
Dinghuai Zhang
TMLR
2025
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
Tim Z. Xiao
,
Robert Bamler
,
Bernhard Schölkopf
,
Weiyang Liu
AISTATS
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
ICMLW
2024
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
Tim Z. Xiao
,
Robert Bamler
,
Bernhard Schölkopf
,
Weiyang Liu
ICMLW
2024
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
Tim Z. Xiao
,
Robert Bamler
,
Bernhard Schölkopf
,
Weiyang Liu
NeurIPSW
2023
A Compact Representation for Bayesian Neural Networks by Removing Permutation Symmetry
Tim Z. Xiao
,
Weiyang Liu
,
Robert Bamler
AISTATS
2023
Iterative Teaching by Data Hallucination
Zeju Qiu
,
Weiyang Liu
,
Tim Z. Xiao
,
Zhen Liu
,
Umang Bhatt
,
Yucen Luo
,
Adrian Weller
,
Bernhard Schölkopf
NeurIPSW
2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch
Tim Z. Xiao
,
Johannes Zenn
,
Robert Bamler
ICLR
2023
Trading Information Between Latents in Hierarchical Variational Autoencoders
Tim Z. Xiao
,
Robert Bamler
NeurIPSW
2022
OOD Detection with Class Ratio Estimation
Mingtian Zhang
,
Andi Zhang
,
Tim Z. Xiao
,
Yitong Sun
,
Steven McDonagh