Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time‐series data
W Bonnaffé, T Coulson - Methods in Ecology and Evolution, 2023 - Wiley Online Library
Inferring ecological interactions is hard because we often lack suitable parametric
representations to portray them. Neural ordinary differential equations (NODEs) provide a …
representations to portray them. Neural ordinary differential equations (NODEs) provide a …
Parametric interpretability of growth kinetics equations in a process model for the life cycle of Lobesia botrana
Modeling processes span multiple disciplines and aim to generate new knowledge about a
given process or system for subsequent analysis or control. Mathematical models are …
given process or system for subsequent analysis or control. Mathematical models are …