Benjamin J. Zhang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Manifold Learning Algorithm

Discriminant Embedding

Generative Model

Laplacian Eigenmaps

Top Venues

J. Comput. Phys.

Publications

Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu
Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR (2024)
Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher
Wasserstein proximal operators describe score-based generative models and resolve memorization. CoRR (2024)
Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows. CoRR (2024)
Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
Score-based generative models are provably robust: an uncertainty quantification perspective. CoRR (2024)
Benjamin J. Zhang, Markos A. Katsoulakis
A mean-field games laboratory for generative modeling. CoRR (2023)
Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. 32 (5) (2022)
Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. 456 (2022)
Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. CoRR (2021)