3 citations · 6 across the 4 of their papers we have counts for
4 papers
Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
Yuan Chen, Dongbin Xiu
We present a numerical method for learning the dynamics of slow components of unknown multiscale stochastic dynamical systems. While the governing equations of the systems are unkn…
Unraveling Consumer Purchase Journey Using Neural Network Models
Victor Churchill, H. Alice Li, Dongbin Xiu
This study utilizes an ensemble of feedforward neural network models to analyze large-volume and high-dimensional consumer touchpoints and their impact on purchase decisions. When…
Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and Benchmarks
Victor Churchill, Dongbin Xiu
Flow map learning (FML), in conjunction with deep neural networks (DNNs), has shown promises for data driven modeling of unknown dynamical systems. A remarkable feature of FML is t…
Learning Stochastic Dynamical System via Flow Map Operator
Yuan Chen, Dongbin Xiu
We present a numerical framework for learning unknown stochastic dynamical systems using measurement data. Termed stochastic flow map learning (sFML), the new framework is an exten…