Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data

Willem Bonnaffé, Tim Coulson

1. Inferring ecological interactions is hard because we often lack suitable parametric representations to portray them. Neural ordinary differential equations (NODEs) provide a way…