Retrieving similar time-series segments from a multi-domain knowledge base and injecting them through a learned Channel Prompting module improves zero-shot forecasting of a frozen TSFM, though gains are small and leakage risks are unaddressed.
Forecastpfn: Synthetically-trained zero-shot forecasting
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Retrieving similar time-series segments from a multi-domain knowledge base and injecting them through a learned Channel Prompting module improves zero-shot forecasting of a frozen TSFM, though gains are small and leakage risks are unaddressed.