Matthew E Levine

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response

Hybrid models composing mechanistic ODE-based dynamics with flexible and expressive neural network components have grown rapidly in popularity, especially in scientific domains where such ODE-based modeling offers important interpretability and validated causal grounding (e.g., for counterfactual re…