Jinglai Li
University of Birmingham
H-index: 16
Europe-United Kingdom
Top articles of Jinglai Li
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design | Proceedings of the AAAI Conference on Artificial Intelligence | Ziqiao Ao Jinglai Li | 2024/3/24 |
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions | Journal of Computational Physics | Zhihang Xu Qifeng Liao Jinglai Li | 2024/2/15 |
Sampling-based adaptive design strategy for failure probability estimation | Reliability Engineering & System Safety | Tiexin Guo Hongji Wang Jinglai Li Hongqiao Wang | 2024/1/1 |
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems | SIAM Journal on Imaging Sciences | Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola-Bibiane Schönlieb | 2024/6/30 |
Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems | Inverse Problems | Qingping Zhou Jiayu Qian Junqi Tang Jinglai Li | 2024/4/2 |
Multicanonical sequential Monte Carlo sampler for uncertainty quantification | Reliability Engineering & System Safety | Robert Millar Hui Li Jinglai Li | 2023/9/1 |
Parameter estimation from aggregate observations: a Wasserstein distance-based sequential Monte Carlo sampler | Royal Society Open Science | Chen Cheng Linjie Wen Jinglai Li | 2023/8/9 |
基于仿射映射的变分集合卡尔曼反演 | 数值计算与计算机应用 | 闻林杰， 李敬来 | 2023/6 |
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials | arXiv preprint arXiv:2304.04544 | Ziruo Cai Jinglai Li Xiaoqun Zhang | 2023/4/10 |
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems | Journal of Scientific Computing | Yingzhi Xia Qifeng Liao Jinglai Li | 2023/10 |
On multilevel Monte Carlo methods for deterministic and uncertain hyperbolic systems | Journal of Computational Physics | Junpeng Hu Shi Jin Jinglai Li Lei Zhang | 2023/2/15 |
Entropy estimation via uniformization | Artificial Intelligence | Ziqiao Ao Jinglai Li | 2023/9/1 |
Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models | Journal of Computational Physics | Junda Xiong Xin Cai Jinglai Li | 2022/2/1 |
ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics | arXiv preprint arXiv:2210.09602 | Chen Cheng Jinglai Li | 2022/10/18 |
Entropy estimation via normalizing flow | AAAI | Ziqiao Ao Jinglai Li | 2022 |
A PARALLEL SAMPLING METHOD BASED ON SEQUENTIAL MONTE CARLO SAMPLER | Journal on Numerica Methods and Computer Applications | Wu Jiangqi Li Jinglai | 2022/9 |
Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels | Mechanical Systems and Signal Processing | Peter L Green LJ Devlin Robert E Moore Ryan J Jackson Jinglai Li | 2022/1/1 |
Resampled ensemble Kalman inversion for Bayesian parameter estimation with sequential data. | Discrete & Continuous Dynamical Systems-Series S | Jiangqi Wu Linjie Wen Jinglai Li | 2022/4/1 |
CONTROL VARIATES WITH A DIMENSION REDUCED BAYESIAN MONTE CARLO SAMPLER | International Journal for Uncertainty Quantification | Xin Cai Junda Xiong Hongqiao Wang Jinglai Li | 2022 |
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference | Statistics and Computing | Jiangqi Wu Linjie Wen Peter L Green Jinglai Li Simon Maskell | 2022/2/15 |
Co-Authors
