2026
Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation
ICML 2026poster
Knowledge Distillation (KD) promises to bridge the gap between the high computational costs of Transformer-based models and the expressiveness limitations of linear models in long-term time series forecasting. Existing time series distillation methods inherit the computer vision paradigm, constraini…