Patryk Wielopolski — accepted AI-conference papers

2026

Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels

Oleksii Furman, Patryk Wielopolski, Łukasz Lenkiewicz, Jerzy Stefanowski, Maciej Zięba

IJCAI 2026

The growing complexity of AI systems has intensified the need for transparency through Explainable AI (XAI). Counterfactual explanations (CFs) offer actionable "what-if" scenarios on three levels: Local CFs providing instance-specific insights, Global CFs addressing broader trends, and Group-wise CF

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2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models

Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafał Kurczab +1

AAAI 2022technical

Modern generative models achieve excellent quality in a variety of tasks including image or text generation and chemical molecule modeling. However, existing methods often lack the essential ability to generate examples with requested properties, such as the age of the person in the photo or the wei…

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