Most significant publications
- 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
- Adriana Borowa, Dawid Rymarczyk, Jacek Tabor, Bartosz Zieliński, Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning, IEEE Workshop on Applications of Computer Vision [WACV] 978-1-6654-0477-8 (2021), 1720-1729
Recent publications
- Taras Kutsyk, Honorata Zych, Adam Wróbel, Andrea Bontempelli, Stefano Teso, Andrea Passerini, Bartosz Zieliński, Dawid Rymarczyk, Tailored Reasoning: Human-in-the-Loop for Consistent Prototypical-parts Networks, IEEE Workshop on Applications of Computer Vision [WACV], (2027),
- Łukasz Struski, Dawid Rymarczyk, Jacek Tabor, InfoDisent: Explainability of Image Classification Models by Information Disentanglement, Knowledge-Based Systems (2026),
- Magdalena Proszewska, Tomasz Danel, Antoni Antoszek, Dawid Rymarczyk, B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data, Advances in Neural Information Processing Systems [NeurIPS], (2026),
- 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),
Interests
interpretability of deep learning, weakly supervised learning, computer vision, biomedical image recognition
Dawid Rymarczyk
academic degree/title Doctor of Philosophy (PhD) positionresearch and faculty staff member group, assistant
unit
- Division of Applied Computer Science
- Institute of Computer Science and Computational Mathematics
- Group of Machine Learning Research (GMUM)
dawid.rymarczyk@student.uj.edu.pl
www