publications

publications by categories in reversed chronological order.

2024

  1. GPA
    kl-lipschitz_1_4096_4096_00_test_sierpinski2movie.gif
    Lipschitz-Regularized Gradient Flows and Generative Particle Algorithms for High-Dimensional Scarce Data
    Hyemin Gu, Panagiota Birmpa, Yannis Pantazis, Luc Rey-Bellet, and Markos A. Katsoulakis
    SIAM J.Data Science, to appear, 2024
  2. W-Proximals
    Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
    Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, and Benjamin J. Zhang
    2024
  3. Heavytail-W-Proximals
    Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences
    Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, and Wei Zhu
    2024