arXiv (OAI Expanded)
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Impute-EM: Native Mixed-State Diffusion Models for Heterogeneous Data Imputation
Missing values are ubiquitous in heterogeneous data mining, where numerical, categorical, and binary variables often coexist. Many imputation methods, especially diffusion-based ones, treat discrete variables through continuous surrogates such as one-hot relaxations rather than modeling them nativel
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