AI RESEARCH
AROpt: An Optimization Method for Autoregressive Time Series Forecasting
arXiv CS.LG
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ArXi:2602.02288v2 Announce Type: replace 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 language model