ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Shun Zheng

Neural Information Processing Systems 

Despite the recent strides in crafting specific architectures for time-series forecasting and developing pre-trained universal models, a comprehensive examination of their capability in accommodating variedhorizon forecasting during inference is still lacking.