GNA: Granular Neighbor Assembly for Retrieval-Augmented Multivariate Time-Series Forecasting
arXiv:2609.36281v1 Announce Type: cross Abstract: Deep forecasters predict from a fixed-length lookback window, and lengthening it gives diminishing returns at a growing cost. Retrieval augmentation instead shows the model how similar past situations continued. Retrieving a whole past window gives…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-09-30 04:00 · arXiv stat.ML
GNA: Granular Neighbor Assembly for Retrieval-Augmented Multivariate Time-Series Forecasting