HB
Hubert Baniecki
cs.LGcs.AIstat.MLcs.CVMachine Learningcs.HCExplainable AIstat.APAlgorithmsArtificial Intelligence
On Valency
published · living versionsW_x8mtzqcb·v1 · currentpublished
Preprints & journals
30 papers in the corpus · 2020–2026Proxy-Based Approximation of Shapley and Banzhaf Interactions2605.22738v2 · Santo M. A. R. Thies, Hubert Baniecki, R. Teal Witter et al.2026 · 0 citationsarXiv
SwordBench: Evaluating Orthogonality of Steering Image Representations2605.16372v1 · Vladimir Zaigrajew, Dawid Pludowski, Hubert Baniecki et al.2026 · 0 citationsarXiv
The Metagame of Interpretability and Meta-Attributions2605.06295v2 · Hubert Baniecki, Przemyslaw Biecek, Fabian Fumagalli2026 · 0 citationsarXiv
Functional Decomposition and Shapley Interactions for Interpreting Survival Models2602.16505v1 · Sophie Hanna Langbein, Hubert Baniecki, Fabian Fumagalli et al.2026 · 0 citationsarXiv
Interpretable Machine Learning for Survival Analysis.41168965 · Langbein, Sophie Hanna, Krzyziński, Mateusz, Spytek, Mikołaj et al.2025 · 10 citationsBiometrical journal. Biometrische Zeitschrift. 2025;67(6):e70089
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions2508.05430v2 · Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.2025 · 0 citationsarXiv
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning2503.08636v2 · Hubert Baniecki, Przemyslaw Biecek2025 · 0 citationsMachine Learning (2025) 114:284
Interpreting CLIP with Hierarchical Sparse Autoencoders2502.20578v2 · Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek2025 · 0 citationsProceedings of the 42st International Conference on Machine Learning (ICML 2025)
Interpretable machine learning for time-to-event prediction in medicine and healthcare.39579416 · Baniecki, Hubert, Sobieski, Bartlomiej, Szatkowski, Patryk et al.2024 · 19 citationsArtificial intelligence in medicine. 2025;159:103026
Increasing phosphorus loss despite widespread concentration decline in US rivers.39556745 · Zhi, Wei, Baniecki, Hubert, Liu, Jiangtao et al.2024 · 37 citationsProceedings of the National Academy of Sciences of the United States of America. 2024;121(48):e2402028121
shapiq: Shapley Interactions for Machine Learning2410.01649v1 · Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli et al.2024 · 19 citationsarXiv
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models2407.16653v3 · Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski et al.2024 · 3 citationsarXiv
Efficient and Accurate Explanation Estimation with Distribution Compression2406.18334v2 · Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl et al.2024 · 0 citationsarXiv
On the Robustness of Global Feature Effect Explanations2406.09069v2 · Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl et al.2024 · 4 citationsMachine Learning and Knowledge Discovery in Databases, vol. 2, pp. 125-142, 2024
Red-Teaming Segment Anything Model2404.02067v1 · Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski et al.2024 · 1 citationarXiv
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI2403.08017v2 · Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew et al.2024 · 2 citationsarXiv
survex: an R package for explaining machine learning survival models.38039146 · Spytek, Mikołaj, Krzyziński, Mateusz, Langbein, Sophie Hanna et al.2023 · 58 citationsBioinformatics (Oxford, England). 2023;39(12)
Be Careful When Evaluating Explanations Regarding Ground Truth2311.04813v1 · Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger et al.2023 · 0 citationsarXiv
Explaining and visualizing black-box models through counterfactual paths2307.07764v3 · Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki et al.2023 · 15 citationsarXiv
Adversarial attacks and defenses in explainable artificial intelligence: A survey2306.06123v4 · Hubert Baniecki, Przemyslaw Biecek2023 · 176 citationsInformation Fusion, vol. 107, 102303, 2024
Towards Evaluating Explanations of Vision Transformers for Medical Imaging2304.06133v1 · Piotr Komorowski, Hubert Baniecki, Przemys\law Biecek2023 · 52 citationsIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 3726-3732, 2023
Performance is not enough: the story told by a Rashomon quartet2302.13356v4 · Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski et al.2023 · 6 citationsJournal of Computational and Graphical Statistics, 33(3):1118-1121, 2024
The grammar of interactive explanatory model analysis.36818741 · Baniecki, Hubert, Parzych, Dariusz, Biecek, Przemyslaw2024 · 42 citationsData mining and knowledge discovery. 2023:1-37
Multi-omics disease module detection with an explainable Greedy Decision Forest.36207536 · Pfeifer, Bastian, Baniecki, Hubert, Saranti, Anna et al.2022 · 36 citationsScientific reports. 2022;12(1):16857
Quantitative analysis of RT-PCR test results for SARS-CoV-2 diagnostics across Poland during COVID-19 pandemic: Comparison between early stage and major pandemic waves in 2020 and 2021 with reference to SARS-CoV-2 variants.36191361 · Gierczyński, Rafał, Czerw, Aleksandra, Juszczyk, Grzegorz et al.2022 · 2 citationsAdvances in medical sciences. 2022;67(2):386-392
SurvSHAP(t): Time-dependent explanations of machine learning survival models2208.11080v2 · Mateusz Krzyzi'nski, Miko\laj Spytek, Hubert Baniecki et al.2022 · 122 citationsKnowledge-Based Systems, vol. 262, 110234, 2023
A Signature of 14 Long Non-Coding RNAs (lncRNAs) as a Step towards Precision Diagnosis for NSCLC.35053601 · Sulewska, Anetta, Niklinski, Jacek, Charkiewicz, Radoslaw et al.2022 · 21 citationsCancers. 2022;14(2)
Do not explain without context: addressing the blind spot of model explanations2105.13787v1 · Katarzyna Wo'znica, Katarzyna Pekala, Hubert Baniecki et al.2021 · 0 citationsarXiv
Fooling Partial Dependence via Data Poisoning2105.12837v3 · Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek2021 · 15 citationsMachine Learning and Knowledge Discovery in Databases, vol. 3, pp. 121-136, 2022
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python2012.14406v2 · Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek et al.2020 · 81 citationsJournal of Machine Learning Research (2021) v. 22(214); pp. 1-7
Career total: 60 works. 30 are in this corpus.
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