25 citations · 41 across the 5 of their papers we have counts for
5 papers
Koopman operator learning using invertible neural networks
Yuhuang Meng, Jianguo Huang, Yue Qiu
In Koopman operator theory, a finite-dimensional nonlinear system is transformed into an infinite but linear system using a set of observable functions. However, manually selecting…
Augmented Message Passing Stein Variational Gradient Descent
Jiankui Zhou, Yue Qiu
Stein Variational Gradient Descent (SVGD) is a popular particle-based method for Bayesian inference. However, its convergence suffers from the variance collapse, which reduces the…
Preconditioned geometric iterative methods for cubic B-spline interpolation curves
Chengzhi Liu, Yue Qiu, Li Zhang
The geometric iterative method (GIM) is widely used in data interpolation/fitting, but its slow convergence affects the computational efficiency. Recently, much work was done to gu…
Efficient Numerical Methods for Gas Network Modeling and Simulation
Yue Qiu, Sara Grundel, Martin Stoll +1
We study the modeling and simulation of gas pipeline networks, with a focus on fast numerical methods for the simulation of transient dynamics. The obtained mathematical model of t…
Low-rank computation of posterior covariance matrices in Bayesian inverse problems
Peter Benner, Yue Qiu, Martin Stoll
We consider the problem of estimating the uncertainty in statistical inverse problems using Bayesian inference. When the probability density of the noise and the prior are Gaussian…