Tim Z. Xiao
Max Planck Institute for Intelligent Systems(DE)University of Tübingen(DE)
Publications by Year
Research Areas
Topic Modeling, Generative Adversarial Networks and Image Synthesis, Natural Language Processing Techniques, Cancer-related molecular mechanisms research, AI in cancer detection
Most-Cited Works
- → Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers(2020)19 cited
- → Can Large Language Models Understand Symbolic Graphics Programs?(2024)2 cited
- → Improving VAE-based Representation Learning(2022)2 cited
- → The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch(2023)1 cited
- → Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching(2024)1 cited
- → Iterative Teaching by Data Hallucination(2022)1 cited
- → Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector(2024)1 cited
- → Locally-Contextual Nonlinear CRFs for Sequence Labeling(2021)1 cited
- → Verbalized Machine Learning: Revisiting Machine Learning with Language Models(2024)1 cited
- Solipsistic Reinforcement Learning(2021)