activity
20232026
most citedMachine-learning prediction of tipping with applications to the Atlantic Meridional Overturning Circulation

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing nlin.CDShow all

2 papers · 1 filter

nlin.CD2026

Anticipating tipping in spatiotemporal systems with machine learning

Smita Deb, Zheng-Meng Zhai, Mulugeta Haile +1

In nonlinear dynamical systems, tipping refers to a critical transition from one steady state to another, typically catastrophic, steady state, often resulting from a saddle-node b…

nlin.CD2025

Unsupervised learning for anticipating critical transitions

Shirin Panahi, Ling-Wei Kong, Bryan Glaz +2

For anticipating critical transitions in complex dynamical systems, the recent approach of parameter-driven reservoir computing requires explicit knowledge of the bifurcation param…