Liquid time-constant networks (LTC)
Liquid time-constant networks (LTC) are a class of recurrent neural networks designed to model continuous-time dynamical systems by adapting their internal time constants dynamically. They offer improved capabilities for processing temporal data compared to traditional discrete-time networks.