68 citations · 70 across the 6 of their papers we have counts for
6 papers
Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing
Ling-Wei Kong, Ying-Cheng Lai
Reliable attractor recall conventionally requires broad basins of attraction. However, in reservoir-computing based associative memory, temporal cues reliably recover dynamical mem…
Spin-dependent edge states in two-dimensional Dirac materials with a flat band
Li-Li Ye, Chen-Di Han, Ying-Cheng Lai
The phenomenon of spin-dependent quantum scattering in two-dimensional (2D) pseudospin-1/2 Dirac materials leading to a relativistic quantum chimera was recently uncovered. We inve…
Model-free tracking control of complex dynamical trajectories with machine learning
Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong +3
Nonlinear tracking control enabling a dynamical system to track a desired trajectory is fundamental to robotics, serving a wide range of civil and defense applications. In control…
Machine learning prediction of network dynamics with privacy protection
Xin Xia, Yansen Su, Linyuan Lv +3
Predicting network dynamics based on data, a problem with broad applications, has been studied extensively in the past, but most existing approaches assume that the complete set of…
Predicting extreme events from data using deep machine learning: when and where
Junjie Jiang, Zi-Gang Huang, Celso Grebogi +1
We develop a deep convolutional neural network (DCNN) based framework for model-free prediction of the occurrence of extreme events both in time ("when") and in space ("where") in…
Continuity scaling: A rigorous framework for detecting and quantifying causality accurately
Xiong Ying, Si-Yang Leng, Huan-Fei Ma +3
Data based detection and quantification of causation in complex, nonlinear dynamical systems is of paramount importance to science, engineering and beyond. Inspired by the widely u…