CERD reconstructs missing modalities conditioned on observed inputs and decomposes diagnostic evidence via logit attribution, outperforming baselines on incomplete ADNI data while providing interpretable attributions.
International Conference on Machine Learning (2017)
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Conditional Evidence Reconstruction and Decomposition for Interpretable Multimodal Diagnosis
CERD reconstructs missing modalities conditioned on observed inputs and decomposes diagnostic evidence via logit attribution, outperforming baselines on incomplete ADNI data while providing interpretable attributions.