Visual Forecasting

Visual forecasting focuses on predicting future events, particularly time series data, and effectively communicating those predictions, including their inherent uncertainty, to users. Current research emphasizes developing user-friendly software and algorithms, such as hierarchical neural additive models and scalable frameworks like "Forecasting Orchestra," that balance predictive accuracy with interpretability and incorporate domain knowledge. This field is crucial for informed decision-making across diverse sectors, from business forecasting and inventory management to autonomous driving and robotics, where reliable and understandable predictions are essential for safe and efficient operation.