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Tailin tailintalent

Assistant Professor @ Westlake University. Research interests: AI + Science. Previously Stanford CS, MIT, Peking University

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  1. [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing

    Python 42 4

  2. LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy

    Jupyter Notebook 29 5

  3. Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

    Jupyter Notebook 138 27

  4. ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains

    Jupyter Notebook 33 5

  5. AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)

    Python 35 10

  6. Efficient construction and manipulation of nets with PyTorch

    Python 8 3