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Tailin Wu

ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy

Jul 04, 2022
Daniel Zeng, Tailin Wu, Jure Leskovec

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* ICML 2022 Beyond Bayes: Paths Towards Universal Reasoning Systems Workshop; 17 pages, 10 figures

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Learning to Accelerate Partial Differential Equations via Latent Global Evolution

Jun 15, 2022
Tailin Wu, Takashi Maruyama, Jure Leskovec

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* 25 pages, 13 figures

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Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator

Jun 15, 2022
Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosič, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec

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* SIGKDD 2022; 11 pages, 6 figures

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Graph Information Bottleneck

Oct 24, 2020
Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec

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* 20 pages, 3 figures, NeurIPS 2020

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Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning

Jan 20, 2020
Tailin Wu

* PhD Thesis, 352 pages. Reference improved

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Discovering Nonlinear Relations with Minimum Predictive Information Regularization

Jan 07, 2020
Tailin Wu, Thomas Breuel, Michael Skuhersky, Jan Kautz

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* 26 pages, 11 figures; ICML'19 Time Series Workshop

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