2026
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
ICML 2026poster
Recent progress in time-series forecasting has led to rapidly increasing architectural complexity, yet many reported State-of-the-Art gains are statistically fragile or misattributed. We argue that progress requires a shift from model selection to modular attribution, identifying which components tr…