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Bartosz Zieliński

  1. Interpretable Image Classification with Differentiable Prototypes Assignment
    2021/12/06 by Dawid Rymarczyk, Łukasz Struski, Rymarczyk, Dawid +9 · 15 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  2. Processing of missing data by neural networks
    2018/05/18 by Marek Smieja, Marek Śmieja, Smieja, Marek +8 · 6 citations
    Computer Science · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.LG #stat.ML
  3. ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
    2023/01/28 by Mikołaj Sacha, Dawid Rymarczyk, Sacha, Mikołaj +7 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications
  4. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    2023/08/16 by Mikołaj Sacha, Bartosz Jura, Sacha, Mikołaj +9 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  5. Divide and not forget: Ensemble of selectively trained experts in Continual Learning
    2024/01/18 by Grzegorz Rypeść, Sebastian Cygert, Rypeść, Grzegorz +9 · 7 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  6. Piecewise principal comodule algebras
    2007/07/09 by Piotr M. Hajac, Ulrich Kraehmer, Hajac, Piotr M. +6 · 2 citations
    Mathematics · #Advanced Operator Algebra Research #Advanced Topics in Algebra #Algebra over a field #Algebraic structures and combinatorial models #Computer science #Computer security #FOS: Mathematics #Mathematical analysis #Mathematics #Piecewise #Principal (computer security) #Pure mathematics #Quantum Algebra (math.QA) #Rings and Algebras (math.RA) #math.QA #math.RA
  7. The K-theory of twisted multipullback quantum odd spheres and complex projective spaces
    2015/12/29 by Piotr M. Hajac, Hajac, Piotr M., Ryszard Nest +7 · 2 citations
    Mathematics · #Advanced Algebra and Geometry #Advanced Operator Algebra Research #Algebraic structures and combinatorial models #math.KT
  8. ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification
    2021/08/24 by Dawid Rymarczyk, Adam Pardyl, Rymarczyk, Dawid +9 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  9. Active Visual Exploration Based on Attention-Map Entropy
    2023/03/11 by Adam Pardyl, Pardyl, Adam, Grzegorz Rypeść +7 · 3 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
  10. Quantum projective space from Toeplitz cubes
    2010/08/03 by Piotr M. Hajac, Hajac, Piotr M., Atabey Kaygun +4 · 3 citations
    Mathematics · #Advanced Operator Algebra Research #Advanced Topics in Algebra #Algebraic structures and combinatorial models #math.OA #math.QA
  11. The K-theory type of quantum CW-complexes
    2020/02/20 by Francesco D'Andrea, Francesco D’Andrea, Piotr M. Hajac +10 · 2 citations
    Mathematics · #Advanced Operator Algebra Research #Advanced Topics in Algebra #FOS: Mathematics #Homotopy and Cohomology in Algebraic Topology #K-Theory and Homology (math.KT) #Quantum Algebra (math.QA) #math.KT #math.QA
  12. LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
    2024/05/23 by Mateusz Pach, Dawid Rymarczyk, Pach, Mateusz +7 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
    2024/12/04 by Marcin Przewięźlikowski, Randall Balestriero, Przewięźlikowski, Marcin +7 · 2 voices · 2 citations
    Computer Science · #cs.CV #cs.LG
  14. ICICLE: Interpretable Class Incremental Continual Learning
    2023/03/14 by Dawid Rymarczyk, Joost van de Weijer, Rymarczyk, Dawid +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Persistence Bag-of-Words for Topological Data Analysis
    2018/12/21 by Bartosz Zieliński, Zieliński, Bartosz, Michał Lipiński +7 · 1 citation
    Computer Science · Mathematics · #Algebraic Topology (math.AT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #math.AT #stat.ML
  16. Kernel Self-Attention in Deep Multiple Instance Learning
    2020/05/25 by Dawid Rymarczyk, Rymarczyk, Dawid, Adriana Borowa +5 · 1 citation
    Computer Science · Mathematics · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
  17. ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
    2023/06/18 by Łukasz Struski, Struski, Łukasz, Dawid Rymarczyk +9 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning and Data Classification #electronic engineering #information engineering
  18. FlySearch: Exploring how vision-language models explore
    2025/06/03 by Adam Pardyl, Pardyl, Adam, Dominik Matuszek +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
  19. This looks like what? Challenges and Future Research Directions for Part-Prototype Models
    2025/02/13 by Khawla Elhadri, Elhadri, Khawla, Tomasz Michalski +9 · 2 citations
    Business, Management and Accounting · Computer Science · #Advanced Software Engineering Methodologies #Business Process Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques
  20. Revealing Hidden Model Behaviors with Task-Specific Self-Reports
    2026/07/28 by Taras Kutsyk, Bartosz Zieliński
    Computer Science · #cs.AI #cs.CL #cs.LG