no code implementations • 24 May 2023 • Elise Özalp, Georgios Margazoglou, Luca Magri
The forecasting and computation of the stability of chaotic systems from partial observations are tasks for which traditional equation-based methods may not be suitable.
no code implementations • 3 Feb 2023 • Elise Özalp, Georgios Margazoglou, Luca Magri
We present the Physics-Informed Long Short-Term Memory (PI-LSTM) network to reconstruct and predict the evolution of unmeasured variables in a chaotic system.
no code implementations • 20 Oct 2020 • Georgios Margazoglou, Tobias Grafke, Alessandro Laio, Valerio Lucarini
We apply two independent data analysis methodologies to locate stable climate states in an intermediate complexity climate model and analyze their interplay.
