AROpt: An Optimization Method for Autoregressive Time Series Forecasting

arXiv:2602.02288v2 Announce Type: replace-cross Abstract: Current time-series forecasting models are primarily based on transformer-style neural networks. These models achieve long-term forecasting mainly by scaling up the model size rather than through genuinely autoregressive (AR) rollout. From...