InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate

In three linesInfoAtlas is a foundation model that estimates mutual information between high-dimensional variables in a single forward pass, eliminating costly iterative optimization. Pretrained on synthetic data with diverse dependence patterns, it achieves 100× speedup over neural MI estimators while matching accuracy and generalizes to complex real-world scenarios.

Summary generated by Claude — human-verified