Dawid Rymarczyk

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Multiple Instance

Top Venues

Publications

Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI (2024)
Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR (2024)
Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybala, Andrzej Urbanik, Rafal Obuchowicz, Zbislaw Tabor, Bartosz Zielinski
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. ECAI (2023)
Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski
Token Recycling for Efficient Sequential Inference with Vision Transformers. CoRR (2023)
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. SDM (2023)
Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV (2023)
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning. ICCV (2023)
Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Wloch, Bartosz Zielinski
Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR (2023)
Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR (2023)
Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR (2023)
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning. CoRR (2023)
Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI (2023)
Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) (2022)
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. CoRR (2022)
Adam Pardyl, Dawid Rymarczyk, Zbislaw Tabor, Bartosz Zielinski
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. ICONIP (7) (2022)
Dawid Rymarczyk, Adam Pardyl, Jaroslaw Kraus, Aneta Kaczynska, Marek Skomorowski, Bartosz Zielinski
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. ECML/PKDD (1) (2022)
Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
Deep learning classification of bacteria clones explained by persistence homology. IJCNN (2021)
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD (2021)
Dawid Rymarczyk, Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Bartosz Zielinski
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. MedInfo (2021)
Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR (2021)
Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. CoRR (2021)
Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV (2021)
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR (2020)
Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski
Kernel Self-Attention in Deep Multiple Instance Learning. CoRR (2020)
Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
Deep learning approach to describe and classify fungi microscopic images. CoRR (2020)
Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. CoRR (2020)
Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
Deep learning approach to description and classification of fungi microscopic images. CoRR (2019)