2 papers
cs.LG2022
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…
math.DS2022
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…