3 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…
stat.CO2026
A Gaussian process and linear-based framework for computing cut distributions in modular Bayesian calibration of two chained computer models
Oumar Baldé, Guillaume Damblin, Amandine Marrel +2
Computer models are widely used in science and engineering to simulate complex systems. However, these models are affected by several sources of uncertainty, which may limit their…
math.NA2024
Ensemble Data Assimilation for Particle-based Methods
Marius Duvillard, Loïc Giraldi, Olivier Le Maître
This study presents a novel approach to applying data assimilation techniques for particle-based simulations using the Ensemble Kalman Filter. While data assimilation methods have…