314 citations · 2k across the 57 of their papers we have counts for
4 papers · 1 filter
Identifying bimodality in data using a proximity-based null model with an application to classifying cell cycle phases using oxidative stress
Michelle Kovarik, Tyler Allcroft, Per Sebastian Skardal
Detecting communities in large complex networks has found a wide range of applications in physical, biological, and social sciences by identifying mesoscopic groups based on the li…
Deeper but smaller: Higher-order interactions increase linear stability but shrink basins
Yuanzhao Zhang, Per Sebastian Skardal, Federico Battiston +2
A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this q…
Detecting disturbances in network-coupled dynamical systems with machine learning
Per Sebastian Skardal, Juan G. Restrepo
Identifying disturbances in network-coupled dynamical systems without knowledge of the disturbances or underlying dynamics is a problem with a wide range of applications. For examp…
Suppressing unknown disturbances to dynamical systems using machine learning
Juan G. Restrepo, Clayton P. Byers, Per Sebastian Skardal
Identifying and suppressing unknown disturbances to dynamical systems is a problem with applications in many different fields. Here we present a model-free method to identify and s…