4 papers · 1 filter
Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure
Filippo Cenacchi, Longbing Cao, Runze Yang
High test accuracy and good aggregate calibration do not show whether an individual prediction is structurally supported by its evidence. In tabular decision systems, failures ofte…
Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification
Filippo Cenacchi, Longbing Cao, Runze Yang
Post-hoc calibration for time-series classification usually remaps output scores, but deployment decisions such as trust, abstention, and review depend on whether a confident predi…
FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration
Filippo Cenacchi, Longbing Cao, Runze Yang
Calibration is usually evaluated in aggregate, but the most dangerous failures are often local: predictions that remain highly confident despite being wrong. We study this failure…
Learning When to Ask: Simulation-Trained Humanoids for Mental-Health Diagnosis
Filippo Cenacchi, Deborah Richards, Longbing Cao
Testing humanoid robots with users is slow, causes wear, and limits iteration and diversity. Yet screening agents must master conversational timing, prosody, backchannels, and what…