Predictive Accuracy and Deep Ensemble Estimates of Epistemic Uncertainty in Constrained Neural ODEs for Kinetic Modeling
Robust modeling of complex reaction systems requires not only accurate predictions and physical consistency, but also reliable estimation of predictive uncertainty. Here, we investigate how mechanistic constraint type influences the deep ensemble estimates of epistemic uncertainty in neural ordinary differential equa...