2 papers
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…
physics.ins-det2023
Deep Learning reconstruction with uncertainty estimation for photon interaction in fast scintillator detectors
Geoffrey Daniel, Mohamed Bahi Yahiaoui, Claude Comtat +7
This article presents a physics-informed deep learning method for the quantitative estimation of the spatial coordinates of gamma interactions within a monolithic scintillator, wit…