“The new ‘CfC’ machine learning models.” “[closed-form Continuous-time] replaces the differential equation defining the computation of the neuron with a closed form approximation, preserving the beautiful properties of liquid networks without the need for numerical integration,” said MIT professor and CSAIL Director Daniela Rus in a press release on Tuesday. “Causal, compact, explainable, and efficient to train and forecast CfC models.” They pave the door for dependable machine learning in safety-critical applications.”
