7 citations · 7 across the 1 of their papers we have counts for
3 papers
nlin.CD2025★ 7 cited
Real-time forecasting of chaotic dynamics from sparse data and autoencoders
Elise Özalp, Andrea Nóvoa, Luca Magri
The real-time prediction of chaotic systems requires a nonlinear-reduced order model (ROM) to forecast the dynamics, and a stream of data from sensors to update the ROM. Data-drive…
nlin.AO2023
Reconstruction, forecasting, and stability of chaotic dynamics from partial data
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. In this co…
cs.LG2023
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
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. The training is const…