The author introduces tsGT, a stochastic time series model built on a general-purpose transformer architecture, showcasing its superior performance on various metrics compared to state-of-the-art models. The approach emphasizes the importance of modeling time series as inherently stochastic for better predictions.
Stochastic time series modeling with transformers outperforms deterministic models, emphasizing the importance of stochasticity in time series analysis.