Amruta Koshe

Composite Certainty: Addressing Metric Degeneracy in Parameter Inference for Model-Based Diagnostics

The paper introduces a Composite Certainty Framework to address metric degeneracy in parameter inference by aggregating multiple uncertainty metrics into a single consensus score, revealing parameter-specific identifiability profiles and clinical thresholds.

Composite Biofidelity: Addressing Metric Degeneracy in Biomechanical Model Validation and Machine Learning Loss Design

The paper develops a multi-metric framework to assess spectral biofidelity, showing that no single metric reliably captures all types of spectral distortion and that consensus across metrics improves validation and machine learning loss design.