2 papers
cs.LG2026
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
Khawla Elhadri, Tomasz Michalski, Adam Wróbel +3
The growing interest in eXplainable Artificial Intelligence (XAI) has stimulated research on models with built-in interpretability, among which part-prototype models are particular…
cs.LG2024
OMENN: One Matrix to Explain Neural Networks
Adam Wróbel, MikoÅaj Janusz, Bartosz ZieliÅski +1
Deep Learning (DL) models are often black boxes, making their decision-making processes difficult to interpret. This lack of transparency has driven advancements in eXplainable Art…