2 papers
cs.LG2026
CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting
Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara +1
Pretrained time series foundation models (TSFMs) have enabled zero-shot forecasting on unseen target series. However, existing TSFMs often incur high computational cost and provide…
cs.LG2026
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
Yosuke Yamaguchi, Issei Suemitsu, Wenpeng Wei
In time series forecasting, covariates represent external factors that influence target variables. Some covariates are observable only in the past (observed covariates, such as rec…