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Szu-Yu Chen

1 accepted papers

2026

DISTILLING TIME SERIES FOUNDATION MODELS FOR EFFICIENT FORECASTING

ICASSP 2026poster

Time Series foundation models (TSFMs) deliver strong forecasting performance through large-scale pretraining, but their large parameter sizes make deployment costly. While knowledge distillation offers a natural and effective approach for model compression, techniques developed for general machine l…

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