RATFM fine-tunes time series foundation models to use retrieved similar examples as context, improving anomaly detection on unseen domains without domain-specific fine-tuning.
Springer International Publishing, 2 edn
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection
RATFM fine-tunes time series foundation models to use retrieved similar examples as context, improving anomaly detection on unseen domains without domain-specific fine-tuning.