Benjamin J. Zhang

According to our database, Benjamin J. Zhang authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Stability of Transformers under Layer Normalization.

Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Krishna Kumar, Markos A. Katsoulakis

CoRR, October, 2025

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations.

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

CoRR, September, 2025

Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems.

Paul Dupuis, Benjamin J. Zhang

CoRR, May, 2025

Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency.

Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Markos A. Katsoulakis

CoRR, May, 2025

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

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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