2026
Local Geometry Attention for Time Series Forecasting under Realistic Corruptions
ICLR 2026poster
Transformers have demonstrated strong performance in time series forecasting, yet they often fail to capture the intrinsic structure of temporal data, making them susceptible to real-world noise and anomalies. Unlike in vision or language, the local geometry of temporal patterns is a critical featur…