ImputeINR uses implicit neural representations to impute missing time series values, reporting better MSE and MAE than nine baselines on eight datasets, with the largest gains at high missing rates.
Based on this synthetic dataset, we test the representation Table 4: Details of benchmark datasets
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ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
ImputeINR uses implicit neural representations to impute missing time series values, reporting better MSE and MAE than nine baselines on eight datasets, with the largest gains at high missing rates.