publications

2023

  1. refldiff.gif
    Reflected Diffusion Models
    Aaron Lou, and Stefano Ermon
    In International Conference on Machine Learning, 2023
    arXiv Blog Code

2021

  1. neqmode.png
    Equivariant Manifold Flows
    Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, and Christopher De Sa
    In Neural Information Processing Systems, 2021
    arXiv Code
  2. NeurIPS
    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
    arXiv Code

2020

  1. nmode.gif
    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
    arXiv Code
  2. frechet.png
    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
    arXiv Code