ALICE Foundation Model Enables In-Context Mutual Information Estimation

ALICE is a foundation model designed for zero-shot mutual information estimation using in-context learning. By training on synthetic distributions to estimate rectified-flow velocity fields, it eliminates the need for per-distribution training even when data is scarce.