2026
Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
ICLR 2026poster
Large time series models (LTMs) have recently demonstrated powerful capabilities for universal forecasting. However, these models still struggle to address the variety and nonstationarity of time series, resulting in an unsatisfying balance between forecasting performance and generalizability. Inste…