Before revision:  As a case study, we compare these two types of models for COVID-19 forecasting and notice that physics-based  models significantly outperform deep learning models.
After revision:  We first formalize the learning of physics-based models as AutoODE, which leverages automatic differentiation to estimate the model parameters. Through a benchmark study on COVID-19 forecasting and notice that physics-based models significantly outperform deep learning models.