Luhuan Wu

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I am an associate research scientist in the Center for Computational Mathematics at the Flatiron Institute. I will be joining the Department of Applied Mathematics and Statistics at Johns Hopkins University as an Assistant Professor in July, 2026.

I did my Ph.D. in Statistics at Columbia University, supervised by John Cunningham and David Blei. Before that, I received an M.S. in Data Science also from Columbia, and a B.S. in Mathematics from Nanjing University.

Here is my CV.

selected publications

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    Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
    Luhuan Wu and Sinead A Williamson
    In International Conference on Artificial Intelligence and Statistics, 2024
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    Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
    Luhuan Wu Wu, Brian Trippe, Christian Naesseth, and 2 more authors
    In Conference on Neural Information Processing Systems, 2023
  3. vnngp-thumbnail.png
    Variational Nearest Neighbor Gaussian Process
    Luhuan Wu, Geoff Pleiss, and John Cunningham
    In International Conference on Machine Learning, 2022
  4. RRGP-ICML-thumbnail.png
    Bias-free Scalable Gaussian Processes via Randomized Truncations
    Andres Potapczynski, Luhuan Wu, Dan Biderman, and 2 more authors
    In International Conference on Machine Learning, 2021
  5. hipgp-aistats-thumbnail.png
    Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
    Luhuan Wu, Andrew Miller, Lauren Anderson, and 3 more authors
    In International Conference on Artificial Intelligence and Statistics, 2021