Biecek, Przemyslaw

23 publications

WACV 2025 Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek

MLJ 2025 Birds Look like Cars: Adversarial Analysis of Intrinsically Interpretable Deep Learning Hubert Baniecki, Przemyslaw Biecek

ICLR 2025 Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

NeurIPS 2025 Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek

ICML 2025 Interpreting CLIP with Hierarchical Sparse Autoencoders Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek

ECML-PKDD 2025 MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek

ICLR 2025 Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek

ICLRW 2025 Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek

NeurIPS 2025 System-Embedded Diffusion Bridge Models Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang, Siyeop Yoon, Pengfei Jin, Dufan Wu, Quanzheng Li, Przemyslaw Biecek

MLJ 2024 Consolidated Learning: A Domain-Specific Model-Free Optimization Strategy with Validation on metaMIMIC Benchmarks Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek

ECCV 2024 Global Counterfactual Directions Bartłomiej Sobieski, Przemyslaw Biecek

MLJ 2024 LIMEcraft: Handcrafted Superpixel Selection and Inspection for Visual eXplanations Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek

ECML-PKDD 2024 On the Robustness of Global Feature Effect Explanations Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

ICML 2024 Position: Do Not Explain Vision Models Without Context Paulina Tomaszewska, Przemyslaw Biecek

ICML 2024 Position: Explain to Question Not to Justify Przemyslaw Biecek, Wojciech Samek

CVPRW 2024 Red-Teaming Segment Anything Model Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek

ICMLW 2023 Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey Hubert Baniecki, Przemyslaw Biecek

CVPRW 2023 Towards Evaluating Explanations of Vision Transformers for Medical Imaging Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek

ECML-PKDD 2022 Fooling Partial Dependence via Data Poisoning Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek

AAAI 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) Hubert Baniecki, Przemyslaw Biecek

AAAI 2021 Responsible Prediction Making of COVID-19 Mortality (Student Abstract) Hubert Baniecki, Przemyslaw Biecek

ICMLW 2020 Does Imputation Matter? Benchmark for Real-Life Classification Problems. Katarzyna Woźnica, Przemyslaw Biecek

JMLR 2018 DALEX: Explainers for Complex Predictive Models in R Przemyslaw Biecek