Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos

Coupled Nonlinear Delay Systems as Deep Convolutional Neural Networks

(2019) Bogdan Penkovsky et al.   PHYSICAL REVIEW LETTERS

Predicting Spatio-temporal Time Series Using Dimension Reduced Local States

(2019) Jonas Isensee et al.   JOURNAL OF NONLINEAR SCIENCE

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

(2018) Jaideep Pathak et al.   PHYSICAL REVIEW LETTERS

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

(2018) Pantelis R. Vlachas et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

An ensemble framework for time delay synchronization

(2018) Flavia R. Pinheiro et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Accurate state and parameter estimation in nonlinear systems with sparse observations

(2014) Daniel Rey et al.   PHYSICS LETTERS A

Efficient Method for Limit Cycle Flutter Analysis Based on Nonlinear Aerodynamic Reduced-Order Models

(2012) Weiwei Zhang et al.   AIAA JOURNAL