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
- 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),
- 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
- Marcin Sendera, Łukasz Struski, Kamil Książek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk, SEMU: Singular Value Decomposition for Efficient Machine Unlearning, International Conference on Machine Learning [ICML] 267 Proceedings of Machine Learning (2025), 53843-53866
- Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Dawid Rymarczyk, LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision, International Conference on Learning Representations [ICLR](MAIN) ICLR 2025 200 pkt (2025), 1-97
- Bartosz Zieliński, Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8606-8616
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