Benjamin J. Zhang

Orcid: 0000-0002-4170-5096

According to our database1, Benjamin J. Zhang authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems.
CoRR, May, 2025

Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency.
CoRR, May, 2025

2024
Equivariant score-based generative models provably learn distributions with symmetries efficiently.
CoRR, 2024

Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows.
CoRR, 2024

Nonlinear denoising score matching for enhanced learning of structured distributions.
CoRR, 2024

Wasserstein proximal operators describe score-based generative models and resolve memorization.
CoRR, 2024

Score-based generative models are provably robust: an uncertainty quantification perspective.
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.
CoRR, 2023

2022
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics.
Stat. Comput., 2022

A Koopman framework for rare event simulation in stochastic differential equations.
J. Comput. Phys., 2022

2021
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator.
CoRR, 2021


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