2 papers
cs.LG2025
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
B. Sun, P. Liò
In this study, we propose MHEX+, a framework adaptable to any U-Net architecture. Built upon MHEX+, we introduce novel U-Net variants, EU-Nets, which enhance explainability and unc…
cs.CV2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers
Bohang Sun, Pietro Liò
In this study, we introduce the Multi-Head Explainer (MHEX), a versatile and modular framework that enhances both the explainability and accuracy of Convolutional Neural Networks (…