Most significant publications
- Bartosz Zieliński, Grzegorz Rypeść, Valeriya Khan, Tomasz Trzcinski, Bartłomiej Twardowski, Sebastian Cygert, Divide and not forget: Ensemble of selectively trained experts in Continual Learning, International Conference on Learning Representations [ICLR](MAIN), (2024),
- Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Interpretable Image Classification with Differentiable Prototypes Assignment, European Conference on Computer Vision [ECCV](MAIN) Lecture Notes in Computer Science 13672 (2022), 351-368
- Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM International Conference on Knowledge Discovery and Data Mining [KDD](MAIN) 9781450383325 (2021), 1420-1430
- Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek, Processing of missing data by neural networks, Advances in Neural Information Processing Systems 31 (2018), 2719-2729
- Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński, Deep learning approach to bacterial colony classification, PLoS One 12 (9) (2017), 1-14
Recent publications
- Adam Pardyl, Dominik Matuszek, Mateusz Przebieracz, Marek Cygan, Bartosz Zieliński, Maciej Wołczyk, FlySearch : exploring how vision-language models explore, Advances in Neural Information Processing Systems [NeurIPS] 38 (2026), 185979-186011
- Adriana Borowa, Bartosz Zieliński, Dawid Rymarczyk, Reducing cost of fluorescent microscopy through dye exclusion, distillation techniques, and deep learning, Scientific Reports (2026),
- Adam Wróbel, Siddhartha Gairola, Jacek Tabor, Bernt Schiele, Bartosz Zieliński, Dawid Rymarczyk, DAVE : Distribution-aware Attribution via ViT Gradient Decomposition, International Conference on Machine Learning [ICML], (2026),
- Bartosz Zieliński, Łukasz Janisiów, Marek Kochańczyk, Tomasz Danel, Enhancing Chemical Explainability Through Counterfactual Masking, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN), (2026),
- Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarząb, Katarzyna Biegun-Drożdż, Dorota Ochońska, Michał Wronka, Adriana Borowa, Tomasz Gosiewski, Miłosz Adamczyk, Henryk Telega, Bartosz Zieliński, Monika Brzychczy-Włoch, AI-driven rapid identification of bacterial and fungal pathogens in blood smears of septic patients, Computers in Biology and Medicine 199 (2025), 111328
Interests
deep learning
computer vision
explainable artificial intelligence
medical image analysis
Bartosz Zieliński
academic degree/title Doctor of Science positionresearch and faculty staff member group, university professor
unit
- Division of Applied Computer Science
- Institute of Computer Science and Computational Mathematics
- Group of Machine Learning Research (GMUM)
bartosz.zielinski@uj.edu.pl
www