Behavioral Uncertainty Predictor (GatedMLP)

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A GatedMLP model trained to summarize time-series telemetry into distributional kinematic features and output a single behavioral uncertainty score.

Why It Matters

This custom predictor is essential for quantifying the uncertainty that drives the label rebalancing, making the overall method functional.

Evidence

U-Balance first trains a GatedMLP-based uncertainty predictor that summarizes each telemetry window into distributional kinematic features and outputs an uncertainty score.

Related Papers

• openalex-2603.25670-uncertainty-guided-label-rebalancing-for-cps-safety-monitori