Author

Yi Tang

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#machine learning Preprint Sep 2026

SIFT: Enhancing Time Series Foundation Models via Semantic Invariance and Structural Fidelity Fine-Tuning

This work proposes SIFT, a robust adaptation method that enhances time series foundation models by preserving Semantic Invariance and structural Fidelity throughout the fine-Tuning process, and implements a component-based structural fidelity enhancement.

Yi Tang, Teng-Xue Zhang, Yang Shu et al. · 0 citations