The domain gap in neural networks has been a major problem limiting the efficacy of real-world applications. Attempts have been made in much research to close the domain gap using a few target samples ...

The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is either ...