22 citations · 30 across the 3 of their papers we have counts for
3 papers
On the weight dynamics of learning networks
Nahal Sharafi, Christoph Martin, Sarah Hallerberg
Neural networks have become a widely adopted tool for tackling a variety of problems in machine learning and artificial intelligence. In this contribution we use the mathematical f…
Estimating covariant Lyapunov vectors from data
Christoph Martin, Nahal Sharafi, Sarah Hallerberg
Covariant Lyapunov vectors characterize the directions along which perturbations in dynamical systems grow. They have also been studied as predictors of critical transitions and ex…
Critical Transitions and Perturbation Growth Directions
Nahal Sharafi, Marc Timme, Sarah Hallerberg
Critical transitions occur in a variety of dynamical systems. Here, we employ quantifiers of chaos to identify changes in the dynamical structure of complex systems preceding criti…