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ORCIDFeng Bao 0005
Person information
- affiliation: Florida State University, Department of Mathematics, Tallahassee, FL, USA
Other persons with the same name
- Feng Bao — disambiguation page
- Feng Bao 0001 — Huawei Technologies Pte Ltd, Singapore (and 1 more)
- Feng Bao 0002
![[0000-0002-5721-9551]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5721-9551")
— Tsinghua University, Department of Automation, Beijing, China - Feng Bao 0003 — University of Auckland, Department of Electrical and Computer Engineering, New Zealand (and 1 more)
- Feng Bao 0004 — Gunma University, Kiryu, Japan
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Journal Articles
- 2024
[j10]Zezhong Zhang, Feng Bao, Lili Ju, Guannan Zhang:
Transferable Neural Networks for Partial Differential Equations. J. Sci. Comput. 99(1): 2 (2024)- [j9]Richard Archibald, Feng Bao, Yanzhao Cao, Hui Sun:
Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks. SIAM J. Numer. Anal. 62(2): 593-621 (2024) - 2023
- [j8]Feng Bao, Yanzhao Cao, He Zhang:
Splitting scheme for backward doubly stochastic differential equations. Adv. Comput. Math. 49(4): 65 (2023) - [j7]Richard Archibald, Feng Bao, Jiongmin Yong:
A stochastic maximum principle approach for reinforcement learning with parameterized environment. J. Comput. Phys. 488: 112238 (2023) - 2022
- [j6]Richard Archibald, Feng Bao:
Kernel learning backward SDE filter for data assimilation. J. Comput. Phys. 455: 111009 (2022) - 2020
- [j5]Richard Archibald, Feng Bao, Jiongmin Yong, Tao Zhou:
An Efficient Numerical Algorithm for Solving Data Driven Feedback Control Problems. J. Sci. Comput. 85(2): 51 (2020) - 2019
- [j4]Richard Archibald, Feng Bao, Xuemin Tu:
A direct filter method for parameter estimation. J. Comput. Phys. 398 (2019) - 2016
- [j3]Feng Bao, Rick Archibald, Dipanshu Bansal, Olivier Delaire:
Hierarchical optimization for neutron scattering problems. J. Comput. Phys. 315: 39-51 (2016) - [j2]Feng Bao, Yanzhao Cao, Amnon J. Meir, Weidong Zhao:
A First Order Scheme for Backward Doubly Stochastic Differential Equations. SIAM/ASA J. Uncertain. Quantification 4(1): 413-445 (2016) - 2014
- [j1]Feng Bao, Yanzhao Cao, Clayton G. Webster, Guannan Zhang:
A Hybrid Sparse-Grid Approach for Nonlinear Filtering Problems Based on Adaptive-Domain of the Zakai Equation Approximations. SIAM/ASA J. Uncertain. Quantification 2(1): 784-804 (2014)
Informal and Other Publications
- 2024
- [i12]Siming Liang, Hui Sun, Richard Archibald, Feng Bao:
Convergence Analysis for A Stochastic Maximum Principle Based Data Driven Feedback Control Algorithm. CoRR abs/2405.20182 (2024) - 2023
- [i11]Hui Sun, Nick Moore, Feng Bao:
Parameter Estimation for the Truncated KdV Model through a Direct Filter Method. CoRR abs/2301.07797 (2023) - [i10]Zezhong Zhang, Feng Bao, Lili Ju, Guannan Zhang:
TransNet: Transferable Neural Networks for Partial Differential Equations. CoRR abs/2301.11701 (2023) - [i9]Feng Bao, Zezhong Zhang, Guannan Zhang:
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems. CoRR abs/2309.00983 (2023) - [i8]Yanfang Liu, Minglei Yang, Zezhong Zhang, Feng Bao, Yanzhao Cao, Guannan Zhang:
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation. CoRR abs/2310.14458 (2023) - [i7]Zezhong Zhang, Feng Bao, Guannan Zhang:
Improving the Expressive Power of Deep Neural Networks through Integral Activation Transform. CoRR abs/2312.12578 (2023) - 2022
- [i6]Richard Archibald, Feng Bao:
A Kernel Learning Method for Backward SDE Filter. CoRR abs/2201.10600 (2022) - [i5]Zezhong Zhang, Richard Archibald, Feng Bao:
A PDE-based Adaptive Kernel Method for Solving Optimal Filtering Problems. CoRR abs/2203.05031 (2022) - [i4]Richard Archibald, Feng Bao, Yanzhao Cao, Hui Sun:
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent. CoRR abs/2212.08924 (2022) - 2021
- [i3]Feng Bao, Yanzhao Cao, He Zhang:
Solving Backward Doubly Stochastic Differential Equations through Splitting Schemes. CoRR abs/2103.08632 (2021) - [i2]Hui Sun, Feng Bao:
Meshfree Approximation for Stochastic Optimal Control Problems. CoRR abs/2104.09997 (2021) - 2020
- [i1]Richard Archibald, Feng Bao, Yanzhao Cao, He Zhang:
Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle. CoRR abs/2011.14145 (2020)
Coauthor Index
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