Learning What to Trust: Reliability-Conditioned Masked Modeling for Physiological Time Series (QRAFT)

Anonymous (ICLR 2027 double-blind)

Summary

Self-supervised masked learner where fine-grained per-patch reliability decides which patches stay visible and which become reconstruction targets; a shared temporal encoder lets reliable evidence in one source support recovery in the other; temporal + spectral + contrastive objective. Introduces difficulty-matched random masking as a control. At the same 38.5% mask ratio: PPG reconstruction RMSE −23.2% vs random masking and −10.0% vs the difficulty-matched control.