Conformal Calibration for Multi-Modal Regression with Missing Modalities
A modality-aware conformal calibration layer that trains or reuses one predictor per modality, computes a disagreement score from their predictions, and uses that score in split conformal calibration under a strict split protocol for simple, model-agnostic reliability layer for multi-modal regression systems.