2026
KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
ICML 2026poster
Probabilistic forecasting with exogenous variables is vital for decision-making but remains underexplored compared to deterministic methods. We propose KITE, a knowledge-guided probabilistic modeling framework designed to bridge this gap by addressing two key bottlenecks: (1) topological disparity i…