UniVQ: Vector quantization is effective for unified time series forecasting.
Time series forecasting is crucial for applications such as climate, energy, and transportation. Existing models, whether task-specific or pretrained, face limitations due to constrained sample size of datasets and generalization. Models trained on single datasets struggle with real-world scenarios where training data...