Predicting discrete-time bifurcations with deep learning

Nature·Oct 10

This story is reported by Nature. Read what other outlets are saying below, then open the original report for full details.

Full coverage

1

Self-supervised reservoir computing with spatial-temporal encoding for identifying critical transitions

Nature·Jun 1

2

Machine learning and bifurcation analysis in a discrete predator-prey model with neem-induced mortality

Nature·Nov 19

3

Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence

Nature·May 19

4

Recovering complex ecological dynamics from time series using state-space universal dynamic equations

Nature·Jan 31

5

Predicting critical transitions with machine learning trained on surrogates of historical data

Nature·Jun 19

6

Deep learning for predicting rate-induced tipping

Nature·Nov 28

7

Bifurcation behaviors shape how continuous physical dynamics solves discrete Ising optimization

Nature·May 2

8

Early warning signals for bifurcations embedded in high dimensions

Nature·Aug 6