Nina Kshetry

Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems

Most current machine learning algorithms make highly confident yet incorrect classifications when faced with unexpected test samples from an unknown distribution different from training; such epistemic uncertainty (unknown unknowns) can have catastrophic safety implications. In this conceptual paper…