Tim Z. Xiao
Scholar

Tim Z. Xiao

Google Scholar ID: 4I7boHIAAAAJ
University of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Machine LearningProbabilistic ModelsLarge Language Models
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Citations & Impact
All-time
Citations
199
 
H-index
9
 
i10-index
7
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Publications
10 items
Learning POMDP World Models from Observations with Language-Model Priors
2026
Cited
0
Value Gradient Guidance for Flow Matching Alignment
2025
Cited
0
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
2025
Cited
0
Reparameterized LLM Training via Orthogonal Equivalence Transformation
2025
Cited
0
Generating Symbolic World Models via Test-time Scaling of Large Language Models
2025
Cited
0
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
arXiv.org · 2024
Cited
2
Can Large Language Models Understand Symbolic Graphics Programs?
International Conference on Learning Representations · 2024
Cited
11
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
2024
Cited
0
Resume (English only)
Co-authors
11 total
Weiyang Liu
Weiyang Liu
CUHK | Max Planck Institute for Intelligent Systems
Robert Bamler
Robert Bamler
University of Tübingen, Germany
Bernhard Schölkopf
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH
Mingtian Zhang
Mingtian Zhang
Research Fellow, University College London
Yarin Gal
Yarin Gal
Professor of Machine Learning, University of Oxford
Andi Zhang
Andi Zhang
Research Associate in Machine Learning, University of Manchester
David Barber
David Barber
Department of Computer Science, University College London
Zhen Liu
Zhen Liu
Chinese University of Hong Kong (Shenzhen)