Author

Maciej Ziȩba

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#artificial intelligence Preprint Sep 2026

Robust to Which Model Change? A Unified Evaluation of Robust Counterfactual Explanations

Robust counterfactual explanations promise recourse that still works after the model behind it changes. Whether they keep that promise depends on what the change is. A small perturbation of the parameters, retraining on new data, and a new architecture are different events, and each existing method is evaluated against...

Marcin Kostrzewa, Maciej Ziȩba · 0 citations

Jul 2026

CEL: Comprehensive Counterfactual Explanations Library and Benchmark

CEL (Counterfactual Explanations Library), a unified library and benchmark for counterfactual explanations designed to support consistent implementation and evaluation, is introduced, believed to be the first comprehensive benchmark that systematically evaluates recent counterfactual explanation methods within a unifie...

Oleksii Furman, Lukasz Lenkiewicz, Marcel Musialek et al. · arXiv.org · 0 citations