GRAM: Correcting Frozen Time-Series Foundation Models via Graph-Retrieved Amplitude Memory
cs.LG
Submitted: 2026-10-04
Updated: 2026-10-04
Code: https://github.com/ecnuabmlab/gram
Terminology
Sources
- GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
- Retrieval-Augmented Generation for Large Language Models: A Survey
- TimeGPT-1
- REALM: Retrieval-Augmented Language Model Pre-Training
- Atlas: Few-shot Learning with Retrieval Augmented Language Models
- Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
- Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
- Transformers in Time Series: A Survey
- TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
- Stationarity-Aware Retrieval-Augmented Time Series Forecasting
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