GUARD distills from multiple misaligned time-series foundation models into lightweight forecasters via instance-wise routing and uncertainty-gated temperature, reducing RMSE on meteorology, carbon flux, soil moisture, and energy tasks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting
GUARD distills from multiple misaligned time-series foundation models into lightweight forecasters via instance-wise routing and uncertainty-gated temperature, reducing RMSE on meteorology, carbon flux, soil moisture, and energy tasks.