| A first order scheme for backward doubly stochastic differential equations F Bao, Y Cao, A Meir, W Zhao SIAM/ASA Journal on Uncertainty Quantification 4 (1), 413-445, 2016 | 44 | 2016 |
| A hybrid sparse-grid approach for nonlinear filtering problems based on adaptive-domain of the Zakai equation approximations F Bao, Y Cao, C Webster, G Zhang SIAM/ASA Journal on Uncertainty Quantification 2 (1), 784-804, 2014 | 44 | 2014 |
| Transferable neural networks for partial differential equations Z Zhang, F Bao, L Ju, G Zhang Journal of Scientific Computing 99 (1), 2, 2024 | 41 | 2024 |
| Improved distributed particle filters for tracking in a wireless sensor network K Kang, V Maroulas, I Schizas, F Bao Computational statistics & data analysis 117, 90-108, 2018 | 40 | 2018 |
| Adaptive meshfree backward SDE filter F Bao, V Maroulas SIAM Journal on Scientific Computing 39 (6), A2664-A2683, 2017 | 40 | 2017 |
| A score-based filter for nonlinear data assimilation F Bao, Z Zhang, G Zhang Journal of Computational Physics 514, 113207, 2024 | 35 | 2024 |
| Forward backward doubly stochastic differential equations and the optimal filtering of diffusion processes F Bao, Y Cao, X Han arXiv preprint arXiv:1509.06352, 2015 | 33 | 2015 |
| An efficient numerical algorithm for solving data driven feedback control problems R Archibald, F Bao, J Yong, T Zhou Journal of Scientific Computing 85 (2), 51, 2020 | 32 | 2020 |
| An ensemble score filter for tracking high-dimensional nonlinear dynamical systems F Bao, Z Zhang, G Zhang Computer Methods in Applied Mechanics and Engineering 432, 117447, 2024 | 31 | 2024 |
| Numerical solutions for forward backward doubly stochastic differential equations and zakai equations F Bao, Y Cao, W Zhao Visualization of Mechanical Processes: An International Online Journal 1 (4), 2011 | 31 | 2011 |
| A stochastic gradient descent approach for stochastic optimal control R Archibald East Asian Journal on Applied Mathematics 10 (4), 2020 | 30 | 2020 |
| A backward doubly stochastic differential equation approach for nonlinear filtering problems F Bao, Y Cao, W Zhao Communications in Computational Physics 23 (5), 1573-1601, 2018 | 28 | 2018 |
| Diffusion-model-assisted supervised learning of generative models for density estimation Y Liu, M Yang, Z Zhang, F Bao, Y Cao, G Zhang Journal of Machine Learning for Modeling and Computing 5 (1), 2024 | 26 | 2024 |
| A direct filter method for parameter estimation R Archibald, F Bao, X Tu Journal of Computational Physics 398, 108871, 2019 | 24 | 2019 |
| Fast and efficient stochastic optimization for analytic continuation F Bao, Y Tang, M Summers, G Zhang, C Webster, V Scarola, TA Maier Physical Review B 94 (12), 125149, 2016 | 23 | 2016 |
| A first order semi-discrete algorithm for backward doubly stochastic differential equations F Bao, Y Cao, W Zhao Discrete Contin. Dyn. Syst. Ser. B 5 (2), 1297-1313, 2015 | 22 | 2015 |
| Robust charge-density-wave correlations in the electron-doped single-band Hubbard model P Mai, NS Nichols, S Karakuzu, F Bao, A Del Maestro, TA Maier, ... Nature Communications 14 (1), 2889, 2023 | 19 | 2023 |
| Adjoint forward backward stochastic differential equations driven by jump diffusion processes and its application to nonlinear filtering problems F Bao, Y Cao, H Chi International Journal for Uncertainty Quantification 9 (2), 2019 | 19 | 2019 |
| A backward SDE method for uncertainty quantification in deep learning R Archibald, F Bao, Y Cao, H Zhang arXiv preprint arXiv:2011.14145, 2020 | 16 | 2020 |
| Lévy backward SDE filter for jump diffusion processes and its applications in material sciences F Bao, R Archibald, P Maksymovych Communications in Computational Physics 27 (2), 589-618, 2020 | 16 | 2020 |
Guannan ZhangOak Ridge National LaboratoryVerified email at ornl.gov
