most citedDetecting structural perturbations from time series with deep learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

physics.soc-ph2020★ 2 cited

Detecting structural perturbations from time series with deep learning

Edward Laurence, Charles Murphy, Guillaume St-Onge +2

Small disturbances can trigger functional breakdowns in complex systems. A challenging task is to infer the structural cause of a disturbance in a networked system, soon enough to…

physics.soc-ph2018

Spectral dimension reduction of complex dynamical networks

Edward Laurence, Nicolas Doyon, Louis J Dubé +1

Dynamical networks are powerful tools for modeling a broad range of complex systems, including financial markets, brains, and ecosystems. They encode how the basic elements (nodes)…