3 papers
cs.IR2026
Exploring How Fair Model Representations Relate to Fair Recommendations
Bjørnar Vassøy, Benjamin Kille, Helge Langseth
One of the many fairness definitions pursued in recent recommender system research targets mitigating demographic information encoded in model representations. Models optimized for…
cs.AI2025
A Framework for Causal Concept-based Model Explanations
Anna Rodum Bjøru, Jacob Lysnæs-Larsen, Oskar Jørgensen +2
This work presents a conceptual framework for causal concept-based post-hoc Explainable Artificial Intelligence (XAI), based on the requirements that explanations for non-interpret…
cs.LG2024
Regularizing Explanations in Bayesian Convolutional Neural Networks
Yanzhe Bekkemoen, Helge Langseth
Neural networks are powerful function approximators with tremendous potential in learning complex distributions. However, they are prone to overfitting on spurious patterns. Bayesi…