2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
AAAI 2024technical
Neural ordinary differential equations (NODEs), one of the most influential works of the differential equation-based deep learning, are to continuously generalize residual networks and opened a new field. They are currently utilized for various downstream tasks, e.g., image classification, time seri…