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.
The impact of data imputation on air quality prediction problem
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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.