116 citations · 305 across the 40 of their papers we have counts for
4 papers · 1 filter
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions
Zhihang Xu, Qifeng Liao, Jinglai Li
In many Bayesian inverse problems the goal is to recover a spatially varying random field. Such problems are often computationally challenging especially when the forward model is…
ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics
Chen Cheng, Jinglai Li
Predicting the behaviors of pedestrian crowds is of critical importance for a variety of real-world problems. Data driven modeling, which aims to learn the mathematical models from…
Multicanonical Sequential Monte Carlo Sampler for Uncertainty Quantification
Robert Millar, Jinglai Li, Hui Li
In many real-world engineering systems, the performance or reliability of the system is characterised by a scalar parameter. The distribution of this performance parameter is impor…
On multilevel Monte Carlo methods for deterministic and uncertain hyperbolic systems
Junpeng Hu, Shi Jin, Jinglai Li +1
In this paper, we evaluate the performance of the multilevel Monte Carlo method (MLMC) for deterministic and uncertain hyperbolic systems, where randomness is introduced either in…