Tim Z. Xiao

6 papers · 2023–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) ❓ The Questioner

Venues

ICLR (4) AISTATS (2)

Top co-authors

Weiyang Liu (4) Zhen Liu (3) Andi Zhang (2) Bernhard Schölkopf (2) Zeju Qiu (2) Robert Bamler (2) Adrian Weller (2) Yingzhen Li (1) Yucen Luo (1) Katherine M. Collins (1)

Research topics

Machine Learning (5) Deep Learning (4) Artificial Intelligence (3) Core AI (3) Models (3) Optimization & Theory (3) Learning Types · Machine Learning (2) Natural Language Processing (1) Core Methods (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Resources & Methods (1) Techniques (1)

Keywords

diffusion model (2) image generation (1) probabilistic modeling (1) curriculum learning (1) question answering (1) multimodal learning (1) visual reasoning (1) program synthesis (1) hierarchical model (1) reward function (1) likelihood estimation (1) rate distortion (1) likelihood ratio (1) sampling efficiency (1) information content (1) machine teaching (1) latent representation (1) variational autoencoder (1) out-of-distribution detection (1) model fine-tuning (1)

Papers

Can Large Language Models Understand Symbolic Graphics Programs? ICLR 2025 Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets ICLR 2025 Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching ICLR 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 Iterative Teaching by Data Hallucination AISTATS 2023 Trading Information between Latents in Hierarchical Variational Autoencoders ICLR 2023