Benjamin J. Zhang

14 papers A* 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency. CoRR Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Markos A. Katsoulakis
2025	J	`jnl`	Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems. CoRR Paul Dupuis, Benjamin J. Zhang
2025	J	`jnl`	Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations. CoRR Benjamin J. Zhang, Siting Liu, Stanley J. Osher, Markos A. Katsoulakis
2025	J	`jnl`	Stability of Transformers under Layer Normalization. CoRR Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Krishna Kumar, Markos A. Katsoulakis
2024	J	`jnl`	Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows. CoRR Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang
2024	J	`jnl`	Equivariant score-based generative models provably learn distributions with symmetries efficiently. CoRR Ziyu Chen, Markos A. Katsoulakis, Benjamin J. Zhang
2024	J	`jnl`	Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu
2024	A*	`conf`	Score-based generative models are provably robust: an uncertainty quantification perspective. NeurIPS Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
2024	J	`jnl`	Score-based generative models are provably robust: an uncertainty quantification perspective. CoRR Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
2024	J	`jnl`	Wasserstein proximal operators describe score-based generative models and resolve memorization. CoRR Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher
2023	J	`jnl`	A mean-field games laboratory for generative modeling. CoRR Benjamin J. Zhang, Markos A. Katsoulakis
2022	J	`jnl`	A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
2022	J	`jnl`	Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos
2021	J	`jnl`	Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. CoRR Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk