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Information of the project and the call

Keywords

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Deep Self-Organizing Neural Graphs

2021/41/B/ST6/01370

Keywords:

decision graphs deep learning neural networks interpretability

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Jacek Tabor 

Number of co-investigators in the project: 9

Call: OPUS 21 - announced on 2021-03-15

Amount awarded: 1 332 446 PLN

Project start date (Y-m-d): 2022-02-04

Project end date (Y-m-d): 2025-02-03

Project duration:: 36 months (the same as in the proposal)

Project status: Project completed

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Articles in post-conference publications (15)
  1. ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification
    Authors:
    Dawid Rymarczyk; Adam Pardyl; Jarosław Kraus; Aneta Kaczyńska; Marek Skomorowski; Bartosz Zieliński
    Conference:
    Machine Learning and Knowledge Discovery in Databases (rok: 2022, tom: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD], strony: 421-436), Wydawca: Springer, Cham
    Data:
    konferencja 19-23.09.2022
    Status:
    Published
    DOI:
    10.1007/978-3-031-26387-3_26 - link to the publication
  2. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    Authors:
    Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
    Conference:
    Proceedings of the AAAI Conference on Artificial Intelligence (rok: 2024, tom: The 38th Annual AAAI Conference on Artificial Intelligence, strony: 45667), Wydawca: AAAI Press
    Data:
    konferencja 20-27.02.2024
    Status:
    Published
    DOI:
    10.48550/arXiv.2308.08162 - link to the publication
  3. ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
    Authors:
    Mikołaj Sacha; Dawid Rymarczyk; Łukasz Struski; Jacek Tabor; Bartosz Zieliński
    Conference:
    2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (rok: 2023, tom: Winter Conference on Applications of Computer Vision [WACV], strony: 1481-1492), Wydawca: IEEE
    Data:
    konferencja 2-7.01.2023
    Status:
    Published
    DOI:
    10.1109/WACV56688.2023.00153 - link to the publication
  4. SONGs: Self-Organizing Neural Graphs
    Authors:
    Łukasz Struski; Tomasz Danel; Marek Śmieja; Jacek Tabor; Bartosz Zieliński
    Conference:
    2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (rok: 2023, tom: Winter Conference on Applications of Computer Vision [WACV], strony: 3837-3846), Wydawca: IEEE
    Data:
    konferencja 2-7.01.2023
    Status:
    Published
    DOI:
    10.1109/WACV56688.2023.00384 - link to the publication
  5. Bounding Evidence and Estimating Log-Likelihood in VAE
    Authors:
    Łukasz Struski, Marcin Mazur, Paweł Batorski, Przemysław Spurek, Jacek Tabor
    Conference:
    Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (rok: 2023, tom: International Conference on Artificial Intelligence and Statistics [AISTATS], strony: 5036-5051), Wydawca: PMLR
    Data:
    konferencja 25-27.04.2023
    Status:
    Published
    DOI:
    10.48550/arXiv.2206.09453 - link to the publication
  6. ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction
    Authors:
    Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
    Conference:
    brak (rok: 2023, tom: SIAM International Conference on Data Mining [SDM], strony: brak), Wydawca: brak
    Data:
    konferencja 27-29.04.2023
    Status:
    Accepted for publication
    DOI:
    link to the publication
  7. ProPML: Probability Partial Multi-label Learning
    Authors:
    Łukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zieliński
    Conference:
    2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA) (rok: 2023, tom: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), strony: 45665), Wydawca: IEEE
    Data:
    konferencja 9-13.10.2023
    Status:
    Published
    DOI:
    10.1109/DSAA60987.2023.10302620 - link to the publication
  8. ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification
    Authors:
    Dawid Rymarczyk; Adam Pardyl; Jarosław Kraus; Aneta Kaczyńska; Marek Skomorowski; Bartosz Zieliński
    Conference:
    brak (rok: 2022, tom: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD], strony: brak), Wydawca: brak
    Data:
    konferencja 19-23.09.2022
    Status:
    Published
    DOI:
    link to the publication
  9. ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
    Authors:
    Mikołaj Sacha; Dawid Rymarczyk; Łukasz Struski; Jacek Tabor; Bartosz Zieliński
    Conference:
    2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (rok: 2023, tom: Winter Conference on Applications of Computer Vision [WACV], strony: 1481-1492), Wydawca: IEEE
    Data:
    konferencja 2-7.01.2023
    Status:
    Published
    DOI:
    10.1109/WACV56688.2023.00153 - link to the publication
  10. Contrastive Hierarchical Clustering
    Authors:
    Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba, Jacek Tabor, Marek Śmieja
    Conference:
    Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases: Research Track (rok: 2023, tom: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2023, strony: 627-643), Wydawca: Springer, Cham
    Data:
    konferencja 18-22.09.2023
    Status:
    Published
    DOI:
    10.1007/978-3-031-43412-9_37 - link to the publication
  11. ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction
    Authors:
    Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
    Conference:
    Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) (rok: 2023, tom: SIAM International Conference on Data Mining [SDM], strony: 379-387), Wydawca: SIAM
    Data:
    konferencja 27-29.04.2023
    Status:
    Published
    DOI:
    10.1137/1.9781611977653.ch43 - link to the publication
  12. SONGs: Self-Organizing Neural Graphs
    Authors:
    Łukasz Struski; Tomasz Danel; Marek Śmieja; Jacek Tabor; Bartosz Zieliński
    Conference:
    2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (rok: 2023, tom: Winter Conference on Applications of Computer Vision [WACV], strony: 3837-3846), Wydawca: IEEE
    Data:
    konferencja 2-7.01.2023
    Status:
    Published
    DOI:
    10.1109/WACV56688.2023.00384 - link to the publication
  13. Interpretable Image Classification with Differentiable Prototypes Assignment
    Authors:
    Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
    Conference:
    ECCV 2022: Computer Vision - ECCV 2022 (rok: 2022, tom: European Conference on Computer Vision [ECCV], strony: 351–368), Wydawca: Springer
    Data:
    konferencja 23-27.10.2022
    Status:
    Published
    DOI:
    10.1007/978-3-031-19775-8_21 - link to the publication
  14. Interpretable Image Classification with Differentiable Prototypes Assignment
    Authors:
    Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
    Conference:
    ECCV 2022: Computer Vision - ECCV 2022 (rok: 2022, tom: European Conference on Computer Vision [ECCV], strony: 351–368), Wydawca: Springer
    Data:
    konferencja 23-27.10.2022
    Status:
    Published
    DOI:
    10.1007/978-3-031-19775-8_21 - link to the publication
  15. Bounding Evidence and Estimating Log-Likelihood in VAE
    Authors:
    Łukasz Struski, Marcin Mazur, Paweł Batorski, Przemysław Spurek, Jacek Tabor
    Conference:
    brak (rok: 2023, tom: International Conference on Artificial Intelligence and Statistics [AISTATS], strony: brak), Wydawca: brak
    Data:
    konferencja 25-27.04.2023
    Status:
    Accepted for publication

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