Reduced order modelling relies on representing complex dynamical systems...
Inference of transfer operators from data is often formulated as a class...
Classical methods of solving spatiotemporal dynamical systems include
st...
A data-driven analysis method known as dynamic mode decomposition (DMD)
...
Causal inference is perhaps one of the most fundamental concepts in scie...
As network research becomes more sophisticated, it is more common than e...
Like most nonparametric estimators of information functionals involving
...
Existing dimensionality reduction methods are adept at revealing hidden
...
Viewing a data set such as the clouds of Jupiter, coherence is readily
a...
If a given behavior of a multi-agent system restricts the phase variable...
While the existence of low-dimensional embedding manifolds has been show...
Collective motion of animal groups often undergoes changes due to
pertur...