Finding nonlinear system equations and complex network structures from data: A sparse optimization approach

How entropic regression beats the outliers problem in nonlinear system identification

(2020) Abd AlRahman R. AlMomani et al.   CHAOS

Predicting phase and sensing phase coherence in chaotic systems with machine learning

(2020) Chun Zhang et al.   CHAOS

Sparse learning of partial differential equations with structured dictionary matrix

(2019) Xiuting Li et al.   CHAOS

Robust and optimal sparse regression for nonlinear PDE models

(2019) Daniel R. Gurevich et al.   CHAOS

Forecasting chaotic systems with very low connectivity reservoir computers

(2019) Aaron Griffith et al.   CHAOS

Attractor reconstruction by machine learning

(2018) Zhixin Lu et al.   CHAOS

Observing spatio-temporal dynamics of excitable media using reservoir computing

(2018) Roland S. Zimmermann et al.   CHAOS

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

(2018) Jaideep Pathak et al.   CHAOS

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

(2018) Jaideep Pathak et al.   PHYSICAL REVIEW LETTERS

Transient phenomena in ecology

(2018) Alan Hastings et al.   SCIENCE

High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification

(2017) Laurent Larger et al.   Physical Review X

Data-driven discovery of partial differential equations

(2017) Samuel H. Rudy et al.   Science Advances

Data based identification and prediction of nonlinear and complex dynamical systems

(2016) Wen-Xu Wang et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Data-based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes

(2016) Ri-Qi Su et al.   Royal Society Open Science

Reservoir computing with a single time-delay autonomous Boolean node

(2015) Nicholas D. Haynes et al.   PHYSICAL REVIEW E

Robust Reconstruction of Complex Networks from Sparse Data

(2015) Xiao Han et al.   PHYSICAL REVIEW LETTERS

Epidemic processes in complex networks

(2015) Romualdo Pastor-Satorras et al.   REVIEWS OF MODERN PHYSICS

Identifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensing

(2014) Ri-Qi Su et al.   Entropy

Reconstructing propagation networks with natural diversity and identifying hidden sources

(2014) Zhesi Shen et al.   Nature Communications

Uncovering hidden nodes in complex networks in the presence of noise

(2014) Ri-Qi Su et al.   Scientific Reports

The power to control

(2013) Marco Galbiati et al.   Nature Physics

The extreme vulnerability of interdependent spatially embedded networks

(2013) Amir Bashan et al.   Nature Physics

Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks

(2013) Clara Granell et al.   PHYSICAL REVIEW LETTERS

Oscillation quenching mechanisms: Amplitude vs. oscillation death

(2013) Aneta Koseska et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Binary-State Dynamics on Complex Networks: Pair Approximation and Beyond

(2013) James P. Gleeson   Physical Review X

Forecasting the future: Is it possible for adiabatically time-varying nonlinear dynamical systems?

(2012) Rui Yang et al.   CHAOS

Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks

(2012) G. Manjunath et al.   NEURAL COMPUTATION

Forecasting synchronizability of complex networks from data

(2012) Ri-Qi Su et al.   PHYSICAL REVIEW E

Detecting hidden nodes in complex networks from time series

(2012) Ri-Qi Su et al.   PHYSICAL REVIEW E

Time-series–based prediction of complex oscillator networks via compressive sensing

(2011) Wen-Xu Wang et al.   EPL

Phase transitions in contagion processes mediated by recurrent mobility patterns

(2011) Duygu Balcan et al.   Nature Physics

Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing

(2011) Wen-Xu Wang et al.   PHYSICAL REVIEW LETTERS

Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing

(2011) Wen-Xu Wang et al.   Physical Review X

Catastrophic cascade of failures in interdependent networks

(2010) Sergey V. Buldyrev et al.   NATURE

Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding

(2010) Arvind Kumar et al.   NATURE REVIEWS NEUROSCIENCE

Dynamic Opinion Model and Invasion Percolation

(2009) Jia Shao et al.   PHYSICAL REVIEW LETTERS

Statistical physics of social dynamics

(2009) Claudio Castellano et al.   REVIEWS OF MODERN PHYSICS

An Introduction To Compressive Sampling

(2008) E.J. Candes et al.   IEEE SIGNAL PROCESSING MAGAZINE

Social diversity promotes the emergence of cooperation in public goods games

(2008) Francisco C. Santos et al.   NATURE