most citedA Gaussian process and linear-based framework for computing cut distributions in modular Bayesian calibration of two chained computer models

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cs.LG2026

Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection

Mohamed Bahi Yahiaoui, Geoffrey Daniel, Loïc Giraldi +2

Out-of-distribution (OOD) detection aims to identify inputs that differ from the training distribution in order to reduce unreliable predictions by deep neural networks. Among post…