| 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 | 41 | 2014 |
| 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 | 39 | 2016 |
| 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 | 38 | 2018 |
| Adaptive meshfree backward SDE filter F Bao, V Maroulas SIAM Journal on Scientific Computing 39 (6), A2664-A2683, 2017 | 37 | 2017 |
| 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 |
| 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 | 30 | 2011 |
| A backward doubly stochastic differential equation approach for nonlinear filtering problems F Bao, Y Cao, W Zhao Commun. Comput. Phys. 23 (5), 1573-1601, 2018 | 28 | 2018 |
| An efficient numerical algorithm for solving data driven feedback control problems R Archibald, F Bao, J Yong, T Zhou Journal of Scientific Computing 85, 1-27, 2020 | 25 | 2020 |
| 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 | 25 | 2015 |
| A stochastic gradient descent approach for stochastic optimal control R Archibald East Asian Journal on Applied Mathematics 10 (4), 2020 | 23 | 2020 |
| A direct filter method for parameter estimation R Archibald, F Bao, X Tu Journal of Computational Physics 398, 108871, 2019 | 22 | 2019 |
| 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 | 20 | 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 | 20 | 2016 |
| Transferable neural networks for partial differential equations Z Zhang, F Bao, L Ju, G Zhang Journal of Scientific Computing 99 (1), 2, 2024 | 18 | 2024 |
| Probing potential energy landscapes via electron-beam-induced single atom dynamics O Dyck, M Ziatdinov, S Jesse, F Bao, AY Nobakht, A Maksov, BG Sumpter, ... Acta Materialia 203, 116508, 2021 | 16 | 2021 |
| Lévy backward SDE filter for jump diffusion processes and its applications in material sciences F Bao Communications in Computational Physics 27 (2), 2019 | 16 | 2019 |
| 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 | 15 | 2024 |
| A fully computable a posteriori error estimate for the Stokes equations on polytopal meshes F Bao, L Mu, J Wang SIAM Journal on Numerical Analysis 57 (1), 458-477, 2019 | 15 | 2019 |
| A score-based filter for nonlinear data assimilation F Bao, Z Zhang, G Zhang Journal of Computational Physics 514, 113207, 2024 | 14 | 2024 |
| Data assimilation of synthetic data as a novel strategy for predicting disease progression in alopecia areata NG Cogan, F Bao, R Paus, A Dobreva Mathematical Medicine and Biology: A Journal of the IMA 38 (3), 314-332, 2021 | 14 | 2021 |
Rick ArchibaldORNLVerified email at ornl.gov
