3 papers
math.NA2023
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…
cs.LG2023
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…
math.NA2023
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…