Search Results for author:
Found 3 papers, 0 papers with code
Linear and nonlinear causality in financial markets
Identifying and quantifying co-dependence between financial instruments is a key challenge for researchers and practitioners in the financial industry.
Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing
On the example of forcing a chaotic parametrization of the Lorenz system into intermittent dynamics, we show first that classical reservoir computing excels at this task.
Controlling nonlinear dynamical systems into arbitrary states using machine learning
We propose a novel and fully data driven control scheme which relies on machine learning (ML).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
