关注
Benjamin J. Zhang
Benjamin J. Zhang
其他姓名Benjamin Zhang
Postdoctoral Research Associate
在 brown.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A Koopman framework for rare event simulation in stochastic differential equations
B Zhang, T Sahai, Y Marzouk
Journal of Computational Physics 456, 2022
142022
A mean-field games laboratory for generative modeling
BJ Zhang, MA Katsoulakis
arXiv preprint arXiv:2304.13534, 2023
132023
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics
BJ Zhang, YM Marzouk, K Spiliopoulos
Statistics and Computing 32 (5), 78, 2022
102022
Wasserstein proximal operators describe score-based generative models and resolve memorization
BJ Zhang, S Liu, W Li, MA Katsoulakis, SJ Osher
arXiv preprint arXiv:2402.06162, 2024
52024
Rare Event Simulation of a Rotorcraft System
B Zhang, Y Marzouk, BY Min, T Sahai
2018 AIAA Non-Deterministic Approaches Conference, 1181, 2018
52018
Suppression of epileptic seizures via Anderson localization
BJ Zhang, M Chamanzar, MR Alam
Journal of The Royal Society Interface 14 (127), 20160872, 2017
52017
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator
BJ Zhang, T Sahai, YM Marzouk
arXiv preprint arXiv:2110.09229, 2021
32021
Score-based generative models are provably robust: an uncertainty quantification perspective
N Mimikos-Stamatopoulos, BJ Zhang, MA Katsoulakis
arXiv preprint arXiv:2405.15754, 2024
22024
Sampling via Controlled Stochastic Dynamical Systems
B Zhang, T Sahai, Y Marzouk
I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021
22021
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
H Gu, MA Katsoulakis, L Rey-Bellet, BJ Zhang
arXiv preprint arXiv:2407.11901, 2024
12024
Nonlinear denoising score matching for enhanced learning of structured distributions
J Birrell, MA Katsoulakis, L Rey-Bellet, B Zhang, W Zhu
arXiv preprint arXiv:2405.15625, 2024
12024
A coupling approach to rare event simulation via dynamic importance sampling
BJ Zhang
Massachusetts Institute of Technology, 2017
12017
Equivariant score-based generative models provably learn distributions with symmetries efficiently
Z Chen, MA Katsoulakis, BJ Zhang
arXiv preprint arXiv:2410.01244, 2024
2024
Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers
BJ Zhang, YM Marzouk, K Spiliopoulos
arXiv preprint arXiv:2302.07227, 2023
2023
Efficient Sampling Methods of, by, and for Stochastic Dynamical Systems
BJ Zhang
Massachusetts Institute of Technology, 2022
2022
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