publications

2023

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    Reflected Diffusion Models
    Aaron Lou, and Stefano Ermon
    In International Conference on Machine Learning, 2023

2021

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    Equivariant Manifold Flows
    Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, and Christopher De Sa
    In Neural Information Processing Systems, 2021
  2. Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
    Tolga Birdal, Aaron Lou, Leonidas J. Guibas, and Umut Simsekli
    In Neural Information Processing Systems, 2021

2020

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    Neural Manifold Ordinary Differential Equations
    Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, and Christopher M De Sa
    In Neural Information Processing Systems, 2020
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    Differentiating through the Fréchet Mean
    Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Ser-Nam Lim, and Christopher De Sa
    In International Conference on Machine Learning, 2020