TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting

Lingyu Jiang, Lingyu Xu, Peiran Li +14

We propose TimePre, a simple framework that unifies the efficiency of Multilayer Perceptron (MLP)-based models with the distributional flexibility of Multiple Choice Learning (MCL)…