Lipschitz regularized gradient flows and latent generative particles. - Hyemin Gu; Panagiota Birmpa; Yannis Pantazis; Luc Rey-Bellet; Markos A. Katsoulakis (CoRR, 2022)

Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences. - Ziyu Chen; Hyemin Gu; Markos A. Katsoulakis; Luc Rey-Bellet; Wei Zhu 007 (CoRR, 2024)

Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows. - Hyemin Gu; Markos A. Katsoulakis; Luc Rey-Bellet; Benjamin J. Zhang (CoRR, 2024)

Lipschitz-Regularized Gradient Flows and Generative Particle Algorithms for High-Dimensional Scarce Data. - Hyemin Gu; Panagiota Birmpa; Yannis Pantazis; Luc Rey-Bellet; Markos A. Katsoulakis (SIAM J. Math. Data Sci., 2024)