Dawid Rymarczyk

42 papers A* 3A 6B 2Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DAVE: Distribution-aware Attribution via ViT Gradient Decomposition. CoRR Adam Wróbel, Siddhartha Gairola, Jacek Tabor, Bernt Schiele, Bartosz Zielinski, Dawid Rymarczyk
2026	J	`jnl`	ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification. CoRR Mikolaj Janusz, Adam Wróbel, Bartosz Zielinski, Dawid Rymarczyk
2025	J	`jnl`	AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients. CoRR Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarzab, Katarzyna Biegun-Drozdz, Dorota Ochonska, Michal Wronka, Adriana Borowa, Tomasz Gosiewski, Milosz Adamczyk, Henryk Telega, Bartosz Zielinski, Monika Brzychczy-Wloch
2025	J	`jnl`	AI-driven rapid identification of bacterial and fungal pathogens in blood smears of septic patients. Comput. Biol. Medicine Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarzab, Katarzyna Biegun-Drozdz, Dorota Ochonska, Michal Wronka, Adriana Borowa, Tomasz Gosiewski, Milosz Adamczyk, Henryk Telega, Bartosz Zielinski, Monika Brzychczy-Wloch
2025	J	`jnl`	B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data. CoRR Magdalena Proszewska, Tomasz Danel, Dawid Rymarczyk
2025	—	`conf`	HCS-DFC: A Diffusion Classifier for Mode of Action Prediction Using Morphological Profiles. CVPR Workshops Jakub Kosciukiewicz, Dawid Rymarczyk, Bartosz Zielinski
2025	J	`jnl`	Personalized Interpretability - Interactive Alignment of Prototypical Parts Networks. CoRR Tomasz Michalski, Adam Wróbel, Andrea Bontempelli, Jakub Lustyk, Mikolaj Kniejski, Stefano Teso, Andrea Passerini, Bartosz Zielinski, Dawid Rymarczyk
2025	J	`jnl`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. CoRR Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk
2025	J	`jnl`	SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence. CoRR Viktar Dubovik, Lukasz Struski, Jacek Tabor, Dawid Rymarczyk
2025	A	`conf`	TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration. WACV Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski
2024	A*	`conf`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	OMENN: One Matrix to Explain Neural Networks. CoRR Adam Wróbel, Mikolaj Janusz, Bartosz Zielinski, Dawid Rymarczyk
2024	B	`conf`	ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery. ESANN Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, Bartosz Zielinski
2024	—	`conf`	Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks. xAI (1) Szymon Oplatek, Dawid Rymarczyk, Bartosz Zielinski
2024	J	`jnl`	Revisiting FunnyBirds evaluation framework for prototypical parts networks. CoRR Szymon Oplatek, Dawid Rymarczyk, Bartosz Zielinski
2023	A	`conf`	CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. ECAI 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
2023	A*	`conf`	ICICLE: Interpretable Class Incremental Continual Learning. ICCV Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
2023	J	`jnl`	ICICLE: Interpretable Class Incremental Continual Learning. CoRR Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
2023	J	`jnl`	Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. IEEE J. Biomed. Health Informatics Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Wloch, Bartosz Zielinski
2023	J	`jnl`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. SDM Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
2023	A	`conf`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	Token Recycling for Efficient Sequential Inference with Vision Transformers. CoRR Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski
2022	—	`conf`	Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. ICONIP (7) Adam Pardyl, Dawid Rymarczyk, Zbislaw Tabor, Bartosz Zielinski
2022	—	`conf`	Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2022	J	`jnl`	ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. CoRR Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
2022	—	`conf`	ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. ECML/PKDD (1) Dawid Rymarczyk, Adam Pardyl, Jaroslaw Kraus, Aneta Kaczynska, Marek Skomorowski, Bartosz Zielinski
2021	—	`conf`	Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. MedInfo Dawid Rymarczyk, Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Bartosz Zielinski
2021	B	`conf`	Deep learning classification of bacteria clones explained by persistence homology. IJCNN Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
2021	J	`jnl`	Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2021	A	`conf`	Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. CoRR Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski
2021	A*	`conf`	ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2020	J	`jnl`	Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. CoRR Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
2020	J	`jnl`	Deep learning approach to describe and classify fungi microscopic images. CoRR Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
2020	J	`jnl`	Kernel Self-Attention in Deep Multiple Instance Learning. CoRR Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski
2020	J	`jnl`	ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2019	J	`jnl`	Deep learning approach to description and classification of fungi microscopic images. CoRR Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch