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InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
Measuring statistical dependency between high-dimensional random variables is a fundamental task in data science and machine learning. Neural mutual information (MI) estimators offer a promising avenue, but they typically require costly iterative optimization for each new dataset, making them imprac
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