A Koopman framework for rare event simulation in stochastic differential equations B Zhang, T Sahai, Y Marzouk Journal of Computational Physics 456, 2022 | 14 | 2022 |
A mean-field games laboratory for generative modeling BJ Zhang, MA Katsoulakis arXiv preprint arXiv:2304.13534, 2023 | 13 | 2023 |
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics BJ Zhang, YM Marzouk, K Spiliopoulos Statistics and Computing 32 (5), 78, 2022 | 10 | 2022 |
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 | 5 | 2024 |
Rare Event Simulation of a Rotorcraft System B Zhang, Y Marzouk, BY Min, T Sahai 2018 AIAA Non-Deterministic Approaches Conference, 1181, 2018 | 5 | 2018 |
Suppression of epileptic seizures via Anderson localization BJ Zhang, M Chamanzar, MR Alam Journal of The Royal Society Interface 14 (127), 20160872, 2017 | 5 | 2017 |
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator BJ Zhang, T Sahai, YM Marzouk arXiv preprint arXiv:2110.09229, 2021 | 3 | 2021 |
Score-based generative models are provably robust: an uncertainty quantification perspective N Mimikos-Stamatopoulos, BJ Zhang, MA Katsoulakis arXiv preprint arXiv:2405.15754, 2024 | 2 | 2024 |
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 | 2 | 2021 |
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 | 1 | 2024 |
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 | 1 | 2024 |
A coupling approach to rare event simulation via dynamic importance sampling BJ Zhang Massachusetts Institute of Technology, 2017 | 1 | 2017 |
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 |