2 papers
stat.ML2025
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza +2
Out-of-distribution (OOD) detection is essential for ensuring the reliability and safety of machine learning systems. In recent years, it has received increasing attention, particu…
cs.LG2025
Foundation Models and Transformers for Anomaly Detection: A Survey
Mouïn Ben Ammar, Arturo Mendoza, Nacim Belkhir +2
In line with the development of deep learning, this survey examines the transformative role of Transformers and foundation models in advancing visual anomaly detection (VAD). We ex…