Transferable neural networks for partial differential equations Z Zhang, F Bao, L Ju, G Zhang Journal of Scientific Computing 99 (1), 2, 2024 | 17 | 2024 |
A score-based filter for nonlinear data assimilation F Bao, Z Zhang, G Zhang Journal of Computational Physics, 113207, 2024 | 15* | 2024 |
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 | 13 | 2024 |
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 | 9 | 2024 |
A diffusion‐based uncertainty quantification method to advance E3SM land model calibration D Lu, Y Liu, Z Zhang, F Bao, G Zhang Journal of Geophysical Research: Machine Learning and Computation 1 (3 …, 2024 | 8 | 2024 |
A unified filter method for jointly estimating state and parameters of stochastic dynamical systems via the ensemble score filter F Bao, G Zhang, Z Zhang arXiv preprint arXiv:2312.10503, 2023 | 3 | 2023 |
Improving the Expressive Power of Deep Neural Networks through Integral Activation Transform Z Zhang, F Bao, G Zhang arXiv preprint arXiv:2312.12578, 2023 | 2 | 2023 |
A PDE-based adaptive kernel method for solving optimal filtering problems Z Zhang, R Archibald, F Bao Journal of Machine Learning for Modeling and Computing 3 (3), 2022 | 2 | 2022 |
Nonuniform random feature models using derivative information K Pieper, Z Zhang, G Zhang arXiv preprint arXiv:2410.02132, 2024 | | 2024 |
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems F Bao, Z Zhang, G Zhang arXiv preprint arXiv:2309.00983, 2023 | | 2023 |