NICA, an iterative self-attention model styled after cellular automata, achieves lower mean RMSE than Mean, KNN, MICE, and GAIN on 14 of 15 tabular datasets with simulated MCAR missingness.
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Missing Data Imputation using Neural Cellular Automata
NICA, an iterative self-attention model styled after cellular automata, achieves lower mean RMSE than Mean, KNN, MICE, and GAIN on 14 of 15 tabular datasets with simulated MCAR missingness.