35 citations · 53 across the 6 of their papers we have counts for
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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…
cs.LG2020★ 1 cited
Long-term prediction of chaotic systems with recurrent neural networks
Huawei Fan, Junjie Jiang, Chun Zhang +2
Reservoir computing systems, a class of recurrent neural networks, have recently been exploited for model-free, data-based prediction of the state evolution of a variety of chaotic…
cs.LG2019★ 2 cited
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
Junjie Jiang, Ying-Cheng Lai
A common difficulty in applications of machine learning is the lack of any general principle for guiding the choices of key parameters of the underlying neural network. Focusing on…