arXiv cs.LG
· Papers
AROpt: An Optimization Method for Autoregressive Time Series Forecasting
arXiv:2602.02288v3 Announce Type: replace 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 the perspective of large lan