A Multimodal Label Forecasting Method for Aperiodic Visuo-Motor Time Series
This work contributes two new benchmark datasets, showing that periodicity is violated and recent deep TSF methods struggle on these benchmarks, and proposes a novel deep learning architecture that exploits both endogenous and exogenous variables and a training process that rigorously enforces i.i.d sampling of trainin...