"Even small estimation errors in a model of the reference distribution can produce OOD detection failures."
Zhang and colleagues demonstrate how relatively small distribution-estimation errors can lead to failures in likelihood-based OOD detection. Their findings provide direct empirical and theoretical support for the manuscript's concern that learned statistical representations may fail to capture relevant properties of the distributions they are intended to model.
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