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2020 – today
- 2026
[i13]Zhizhen Zhang, Hyemin Gu, Benjamin J. Zhang, Daniel Elenius, Michael Tyrrell, Théo Bourdais, Houman Owhadi, Markos A. Katsoulakis, Tuhin Sahai:
ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks. CoRR abs/2605.12768 (2026)- [i12]Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley Osher, Markos A. Katsoulakis:
Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space. CoRR abs/2605.17232 (2026) - 2025
- [i11]Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Markos A. Katsoulakis:
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency. CoRR abs/2505.13499 (2025) - [i10]Paul Dupuis, Benjamin J. Zhang:
Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems. CoRR abs/2505.23456 (2025) - [i9]Benjamin J. Zhang, Siting Liu, Stanley J. Osher, Markos A. Katsoulakis
:
Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations. CoRR abs/2509.05186 (2025) - [i8]Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Krishna Kumar, Markos A. Katsoulakis:
Stability of Transformers under Layer Normalization. CoRR abs/2510.09904 (2025) - 2024
- [c1]Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis:
Score-based generative models are provably robust: an uncertainty quantification perspective. NeurIPS 2024 - [i7]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 abs/2402.06162 (2024) - [i6]Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu:
Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR abs/2405.15625 (2024) - [i5]Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis:
Score-based generative models are provably robust: an uncertainty quantification perspective. CoRR abs/2405.15754 (2024) - [i4]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 abs/2407.11901 (2024) - [i3]Ziyu Chen, Markos A. Katsoulakis, Benjamin J. Zhang:
Equivariant score-based generative models provably learn distributions with symmetries efficiently. CoRR abs/2410.01244 (2024) - 2023
- [i2]Benjamin J. Zhang, Markos A. Katsoulakis:
A mean-field games laboratory for generative modeling. CoRR abs/2304.13534 (2023) - 2022
- [j2]Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk:
A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. 456: 111025 (2022) - [j1]Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos:
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. 32(5): 78 (2022) - 2021
- [i1]Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk:
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. CoRR abs/2110.09229 (2021)
Coauthor Index
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