Abstract: A method and apparatus of a device for generating a fusion model for a physical system is described. In an exemplary embodiment, the device receives low-fidelity input data and low-fidelity output data that represent a low-fidelity measurement of a physical system. In addition, the device trains a first model to predict the low-fidelity output data using the low-fidelity input data. Furthermore, the device receives high-fidelity input data and high-fidelity output data that represent a high-fidelity measurement of the physical system. The device additionally invokes the first model with the high-fidelity input data to generate predicted low-fidelity data. The device further trains a second model to predict the high-fidelity output data using the high-fidelity input data augmented with the predicted low-fidelity data.