Benjamin J. Zhang

According to our database, Benjamin J. Zhang authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Equivariant score-based generative models provably learn distributions with symmetries efficiently.

Ziyu Chen, Markos A. Katsoulakis, Benjamin J. Zhang

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

Score-based generative models are provably robust: an uncertainty quantification perspective.

Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis

CoRR, 2024

Nonlinear denoising score matching for enhanced learning of structured distributions.

Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu

CoRR, 2024

Wasserstein proximal operators describe score-based generative models and resolve memorization.

Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher

CoRR, 2024

2023

A mean-field games laboratory for generative modeling.

Benjamin J. Zhang, Markos A. Katsoulakis

CoRR, 2023

2022

Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics.

Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos

Stat. Comput., 2022

A Koopman framework for rare event simulation in stochastic differential equations.

Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk

J. Comput. Phys., 2022

2021

Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator.

Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk

CoRR, 2021