Geometric constraints improve inference of sparsely observed stochastic dynamics

1 code implementation • 2 Apr 2023 • Dimitra Maoutsa

We propose a path augmentation scheme that employs data-driven control to account for the geometry of the invariant system's density.

Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems

1 code implementation • 19 Jan 2023 • Dimitra Maoutsa

Stochastic evolution equations describing the dynamics of systems under the influence of both deterministic and stochastic forces are prevalent in all fields of science.

Inferring network connectivity from event timing patterns

3 code implementations • 27 Mar 2018 • Jose Casadiego, Dimitra Maoutsa, Marc Timme

Reconstructing network connectivity from the collective dynamics of a system typically requires access to its complete continuous-time evolution although these are often experimentally inaccessible.

Time Series Time Series Analysis