Consequently, recent research efforts have focused on developing pre-trained TS forecasting models.

Modeling a system'stemporal behaviour in reaction to external stimuli is a fundamentalprobleminmanyareas.

The NFM framework utilizes the classical idea of multiplicative frailty in survival analysis as a principled way of extending the proportional hazard assumption, at the same time being able to leverage the strong approximation power of neural architectures for handling nonlinear covariate dependence.