PB
Przemyslaw Biecek
cs.LGcs.AIcs.CVstat.MLcs.CLstat.APMelanomaeess.IVCOVID-19cs.CR
On Valency
published · living versionsW_x8mtzqcb·v1 · currentpublished
Preprints & journals
220 papers in the corpus · 2005–2026Competitive Market Behavior of LLMs2609.02580v1 · Pawel Struski, Jakub Swistak, Inez Okulska et al.2026 · 0 citationsarXiv
Modelpedia: A Catalog of Model Findings for the Meta-Science of AI2609.01090v2 · Franciszek Bernat, Dawid P\ludowski, MichałJan W\lodarczyk et al.2026 · 0 citationsarXiv
COGENT: Counterfactual Gaussian Explanations for Volumetric Medical Images2608.11422v1 · Dorian Rzasa, Bartosz Zabdyr, Krzysztof Piekarz et al.2026 · 0 citationsarXiv
Interpretability-Guided Soft Pruning of Attention Heads in Vision Transformers2608.00264v1 · Kamil Ksiażek, Piotr Suszy'nski, MichałJan W\lodarczyk et al.2026 · 0 citationsarXiv
Explaining BiomedCLIP with Weighted Banzhaf Interactions Supported by Tree-Gram Parsing2607.23368v1 · Jakub Rymarski, Adam Rempa\la, Bart\lomiej Sobieski et al.2026 · 0 citationsarXiv
Fully automated CT-based quantitative body composition analysis for predicting survival in patients with HCC undergoing TACE: a dual-cohort study.42303673 · Bartnik, Krzysztof, Tsevegmed, Belgutei, Książek, Kamil et al.2026 · 0 citationsScientific reports. 2026;16(1)
The Case for Model Science: Verify, Explore, Steer, Refine2606.01189v1 · Przemyslaw Biecek, Luca Longo, Jianlong Zhou et al.2026 · 0 citationsarXiv
Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers2605.14893v1 · Jakub Grzywaczewski, Dawid P\ludowski, Przemys\law Biecek2026 · 0 citationsarXiv
Effect of length variations in 3D-printed middle-ear prostheses on ossicular chain mobility.42160921 · Sokołowski, Jacek, Orłowski, Adam, Niemczyk, Kazimierz et al.2026 · 1 citationHearing research. 2026;477:109660
Multicenter retrospective analysis by the Polish Adult Leukemia Group on tuberculosis occurrence and outcomes after hematopoietic cell transplantation.42115731 · Drozd-Sokołowska, Joanna, Waszczuk-Gajda, Anna, Sienkiewicz, Elżbieta et al.2026 · 0 citationsScientific reports. 2026;16(1)
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
Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models2605.05026v1 · Bartlomiej Sobieski, Matthew Tivnan, Dawid P\ludowski et al.2026 · 0 citationsarXiv
LINE: LLM-based Iterative Neuron Explanations for Vision Models2604.08039v2 · Vladimir Zaigrajew, MichałPiechota, Gaspar Sekula et al.2026 · 0 citationsarXiv
Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition2603.20108v1 · Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa et al.2026 · 0 citationsarXiv
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions2602.02560v2 · Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek et al.2026 · 0 citationsarXiv
Analyzing the Temporal Factors for Anxiety and Depression Symptoms with the Rashomon Perspective2601.20874v1 · Mustafa Cavus, Przemys\law Biecek, Julian Tejada 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
Machine learning-based identification of small RNA signatures in aqueous humor as a step toward precision diagnosis of glaucoma.41047921 · Dobrzycka, Margarita, Sulewska, Anetta, Konopinska, Joanna et al.2025 · 2 citationsAnnals of medicine. 2025;57(1):2568119
Dualistic Role of MITF in Uveal Melanoma: Defining Two Distinct Cellular Subpopulations With Prognostic and Therapeutic Implications.41147952 · Pilch, Justyna, Krzyzinski, Mateusz, Markiewicz, Anna et al.2025 · 2 citationsInvestigative ophthalmology & visual science. 2025;66(13):45
Model Science: getting serious about verification, explanation and control of AI systems2508.20040v1 · Przemyslaw Biecek, Wojciech Samek2025 · 0 citationsFrontiers in AI track at European Conference on Artificial Intelligence (ECAI) 2025
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions2508.05430v2 · Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.2025 · 0 citationsarXiv
Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML2507.14744v1 · Mustafa Cavus, Jan N. van Rijn, Przemys\law Biecek2025 · 2 citationsIn: D\v{z}eroski, S., Levati\'c, J., Pio, G., Simidjievski, N. (eds) Discovery Science. DS 2025. Lecture Notes in Computer Science, vol 16090. Springer, Cham
Fake or Real: The Impostor Hunt in Texts for Space Operations2507.13508v3 · Agata Kaczmarek, Dawid P\ludowski, Piotr Wilczy'nski et al.2025 · 0 citationsarXiv
X-ray transferable polyrepresentation learning2507.06264v1 · Weronika Hryniewska-Guzik, Przemyslaw Biecek2025 · 0 citationsarXiv
System-Embedded Diffusion Bridge Models2506.23726v2 · Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang et al.2025 · 0 citationsarXiv
Trojan Horse Hunt in Time Series Forecasting for Space Operations2506.01849v1 · Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa et al.2025 · 0 citationsarXiv
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography.40174327 · Bombiński, P, Szatkowski, P, Sobieski, B et al.2025 · 1 citationRadiography (London, England : 1995). 2025;31(3):102930
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series2503.22389v1 · Dawid P\ludowski, Francesco Spinnato, Piotr Wilczy'nski et al.2025 · 2 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)
Gelsolin traps ribosomal protein SA (RPSA) within lipid nanodomains of the plasma membrane and modulates the level of protein synthesis in the submembranous region of human skin melanoma cells.39842520 · Mazurkiewicz-Stanek, Ewa, Machnik, Joanna, Kopernyk, Iryna et al.2025 · 2 citationsBiochimica et biophysica acta. Molecular basis of disease. 2025;1871(3):167686
Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective2412.09712v1 · Mustafa Cavus, Przemyslaw Biecek2024 · 7 citationsInformation Fusion (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
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses2411.06008v2 · Wiktoria Mieleszczenko-Kowszewicz, Dawid P\ludowski, Filip Ko\lodziejczyk et al.2024 · 0 citationsarXiv
WAW-TACE: A Hepatocellular Carcinoma Multiphase CT Dataset with Segmentations, Radiomics Features, and Clinical Data.39441110 · Bartnik, Krzysztof, Bartczak, Tomasz, Krzyziński, Mateusz et al.2025 · 23 citationsRadiology. Artificial intelligence. 2024;6(6):e240296
Rethinking Visual Counterfactual Explanations Through Region Constraint2410.12591v1 · Bartlomiej Sobieski, Jakub Grzywaczewski, Bartlomiej Sadlej et al.2024 · 0 citationsarXiv
Exploring the impact of sequence context on errors in SNP genotype calling with whole genome sequencing data using AI-based autoencoder approach.39318508 · Kotlarz, Krzysztof, Mielczarek, Magda, Biecek, Przemysław et al.2024 · 4 citationsNAR genomics and bioinformatics. 2024;6(3):lqae131
Co-Targeting of DTYMK and PARP1 as a Potential Therapeutic Approach in Uveal Melanoma.39195238 · Oziębło, Sylwia, Mizera, Jakub, Górska, Agata et al.2024 · 2 citationsCells. 2024;13(16)
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models2407.16653v3 · Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski et al.2024 · 3 citationsarXiv
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation2407.07514v1 · Szymon P\lotka, Maciej Chrabaszcz, Przemyslaw Biecek2024 · 3 citationsarXiv
Efficient and Accurate Explanation Estimation with Distribution Compression2406.18334v2 · Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl et al.2024 · 0 citationsarXiv
A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation.38926517 · Bartnik, Krzysztof, Krzyziński, Mateusz, Bartczak, Tomasz et al.2024 · 22 citationsScientific reports. 2024;14(1):14779
Ki67 is a better marker than PRAME in risk stratification of BAP1-positive and BAP1-loss uveal melanomas.37734766 · Donizy, Piotr, Spytek, Mikołaj, Krzyziński, Mateusz et al.2024 · 8 citationsThe British journal of ophthalmology. 2024;108(7):1005-1010
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
No advantage of antimicrobial prophylaxis in AML/MDS/CMML patients treated with azacitidine-a prospective multicenter study by the Polish Adult Leukemia Group.38939343 · Mądry, Krzysztof, Lis, Karol, Sienkiewicz, Elzbieta et al.2024 · 4 citationsFrontiers in oncology. 2024;14:1404322
Does context matter in digital pathology?2405.14301v1 · Paulina Tomaszewska, Mateusz Sperkowski, Przemys\law Biecek2024 · 2 citationsarXiv
Position: Do Not Explain Vision Models Without Context2404.18316v3 · Paulina Tomaszewska, Przemys\law Biecek2024 · 0 citationsarXiv
An Explainable Deep Learning Classifier of Bovine Mastitis Based on Whole-Genome Sequence Data-Circumventing the p >> n Problem.38731932 · Kotlarz, Krzysztof, Mielczarek, Magda, Biecek, Przemysław et al.2024 · 10 citationsInternational journal of molecular sciences. 2024;25(9)
Resistance Against Manipulative AI: key factors and possible actions2404.14230v2 · Piotr Wilczy'nski, Wiktoria Mieleszczenko-Kowszewicz, Przemys\law Biecek2024 · 7 citationsarXiv
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