2025
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
NeurIPS 2025poster
Training time-series forecast models presents unique challenges in designing effective learning objectives. Existing methods predominantly utilize the temporal mean squared error, which faces two critical challenges: (1) label autocorrelation, which leads to bias from the label sequence likelihood;…