AI RESEARCH
An AI-powered Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
arXiv CS.AI
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ArXi:2601.05355v2 Announce Type: replace-cross Modern data analysis increasingly requires flexible conditional inference P(X_B | X_A) where (X_A, X_B) is an arbitrary partition of observed variable X. Existing approaches are either restricted to a fixed conditioning structure or depend strongly on the distribution of conditioning masks during