2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
ICML 2025poster
Foundation models (FMs) have emerged as a promising approach for time series forecasting. While effective, FMs typically remain fixed during deployment due to the high computational costs of learning them online. Consequently, deployed FMs fail to adapt their forecasts to current data characteristic…