GNA: Granular Neighbor Assembly for Retrieval-Augmented Multivariate Time-Series Forecasting

arXiv:2609.36281 · cs.LG, stat.ML · Submitted 2026-09-28 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Transformer — 18× in this paper · explained in 2 episodes
• Time Series Forecasting — 15× in this paper · explained in 3 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Granular Neighbor Assembly — 6× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• RAG — 5× in this paper · explained in 3 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
• Retrieval Augmented Time Series Forecasting
• TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
• PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting

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