6 citations · 8 across the 3 of their papers we have counts for
3 papers
Explaining and visualizing black-box models through counterfactual paths
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki +3
Explainable AI (XAI) is an increasingly important area of machine learning research, which aims to make black-box models transparent and interpretable. In this paper, we propose a…
Performance is not enough: the story told by a Rashomon quartet
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski +1
The usual goal of supervised learning is to find the best model, the one that optimizes a particular performance measure. However, what if the explanation provided by this model is…
Coloring squares of planar graphs with small maximum degree
Mateusz Krzyziński, Paweł Rzążewski, Szymon Tur
For a graph , by we denote the minimum integer , such that there is a -coloring of the vertices of in which vertices at distance at most 2 receive distinct co…