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