Closed-form continuous-time neural networks (CfC)
Closed-form continuous-time neural networks (CfC) are a class of neural networks designed to model continuous-time data using closed-form solutions to differential equations. They offer efficient training and inference for time series and sequential data by leveraging continuous-time dynamics.