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2020 – today
- 2024
[i13]Tim Z. Xiao, Weiyang Liu, Robert Bamler:
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry. CoRR abs/2401.00611 (2024)- [i12]Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik:
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. CoRR abs/2404.08679 (2024) - [i11]Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu:
Verbalized Machine Learning: Revisiting Machine Learning with Language Models. CoRR abs/2406.04344 (2024) - [i10]Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber:
Diffusion Model With Optimal Covariance Matching. CoRR abs/2406.10808 (2024) - [i9]Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Can Large Language Models Understand Symbolic Graphics Programs? CoRR abs/2408.08313 (2024) - 2023
- [c2]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. AISTATS 2023: 9892-9913 - [c1]Tim Z. Xiao, Robert Bamler:
Trading Information between Latents in Hierarchical Variational Autoencoders. ICLR 2023 - [i8]Tim Z. Xiao, Robert Bamler:
Trading Information between Latents in Hierarchical Variational Autoencoders. CoRR abs/2302.04855 (2023) - [i7]Tim Z. Xiao, Johannes Zenn, Robert Bamler:
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models. CoRR abs/2310.19653 (2023) - [i6]Tim Z. Xiao, Johannes Zenn, Robert Bamler:
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch. CoRR abs/2312.02168 (2023) - 2022
- [i5]Mingtian Zhang, Tim Z. Xiao, Brooks Paige, David Barber:
Improving VAE-based Representation Learning. CoRR abs/2205.14539 (2022) - [i4]Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh:
Out-of-Distribution Detection with Class Ratio Estimation. CoRR abs/2206.03955 (2022) - [i3]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. CoRR abs/2210.17467 (2022) - 2021
- [i2]Harshil Shah, Tim Z. Xiao, David Barber:
Locally-Contextual Nonlinear CRFs for Sequence Labeling. CoRR abs/2103.16210 (2021) - 2020
- [i1]Tim Z. Xiao, Aidan N. Gomez, Yarin Gal:
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers. CoRR abs/2006.08344 (2020)
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