Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Sparse and discrete representations in latent spaces

2020/39/D/ST6/01332

Keywords:

Unsupervised representation learning clustering sparse coding discrete variables

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):

dr Łukasz Struski 

Number of co-investigators in the project: 2

Call: SONATA 16 - announced on 2020-09-15

Amount awarded: 323 800 PLN

Project start date (Y-m-d): 2021-07-15

Project end date (Y-m-d): 2024-07-14

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

Project status: Project completed

Project description

Download the project description in a pdf file

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

  • Publication in academic press/journals (5)
  • Articles in post-conference publications (14)
  1. Efficient GPU implementation of randomized SVD and its applications
    Authors:
    Łukasz Struski, Paweł Morkisz, Przemysław Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzciński
    Academic press:
    Expert Systems with Applications (rok: 2024, tom: 248, strony: 123462), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2024.123462 - link to the publication
  2. LocoGAN -- Locally Convolutional GAN
    Authors:
    Łukasz Struski, Szymon Knop, Przemysław Spurek, Wiktor Daniec, Jacek Tabor
    Academic press:
    Computer Vision and Image Understanding (rok: 2022, tom: 221, strony: 103462), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cviu.2022.103462 - link to the publication
  3. Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design
    Authors:
    Dawid Warszycki, Łukasz Struski, Marek Śmieja, Rafał Kafel, Rafał Kurczab
    Academic press:
    Journal of Chemical Information and Modeling (rok: 2021, tom: 61, strony: 5054-5065), Wydawca: ACS Publications
    Status:
    Published
    DOI:
    10.1021/acs.jcim.1c00589 - link to the publication
  4. Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design
    Authors:
    Dawid Warszycki, Łukasz Struski, Marek Śmieja, Rafał Kafel, Rafał Kurczab
    Academic press:
    Journal of Chemical Information and Modeling (rok: 2021, tom: 61, strony: 5054-5065), Wydawca: ACS Publications
    Status:
    Published
    DOI:
    10.1021/acs.jcim.1c00589 - link to the publication
  5. LocoGAN -- Locally Convolutional GAN
    Authors:
    Łukasz Struski, Szymon Knop, Przemysław Spurek, Wiktor Daniec, Jacek Tabor
    Academic press:
    Computer Vision and Image Understanding (rok: 2022, tom: 221, strony: 103462), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cviu.2022.103462 - link to the publication
  1. Interpretable Image Classification with Differentiable Prototypes Assignment
    Authors:
    D. Rymarczyk, Ł. Struski, M. Górszczak, K. Lewandowska, J. Tabor, B. Zieliński
    Conference:
    European Conference on Computer Vision (rok: 2022, tom: ECCV 2022, strony: 351-368), Wydawca: Springer
    Data:
    konferencja 2022
    Status:
    Published
    DOI:
    10.1007/978-3-031-19775-8_21 - link to the publication
  2. ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
    Authors:
    Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zieliński
    Conference:
    European Conference on Artificial Intelligence ECAI 2023 (rok: 2023, tom: 372, strony: 2210 - 2217), Wydawca: IOS Press
    Data:
    konferencja 30.09 - 4.10, 2023
    Status:
    Published
    DOI:
    10.3233/faia230518 - link to the publication
  3. ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
    Authors:
    Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
    Conference:
    Winter Conference on Applications of Computer Vision (rok: 2023, tom: WACV 2023, strony: 1481-1492), Wydawca: IEEE/CVF
    Data:
    konferencja 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:
    Winter Conference on Applications of Computer Vision (rok: 2023, tom: WACV 2023, strony: 3848-3857), Wydawca: IEEE/CVF
    Data:
    konferencja 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:
    International Conference on Artificial Intelligence and Statistics (rok: 2023, tom: AISTATS 2023, strony: 5036--5051), Wydawca: Proceedings of Machine Learning Research
    Data:
    konferencja 2023
    Status:
    Published
    DOI:
    link to the publication
  6. ProPML: Probability Partial Multi-label Learning
    Authors:
    Łukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zieliński
    Conference:
    International Conference on Data Science and Advanced Analytics (rok: 2023, tom: International Conference on Data Science and Advanced Analytics (DSAA), strony: 45665), Wydawca: IEEE
    Data:
    konferencja 9-13 październik 2023
    Status:
    Published
    DOI:
    10.1109/DSAA60987.2023.10302620 - link to the publication
  7. SONGs: Self-Organizing Neural Graphs
    Authors:
    Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
    Conference:
    Winter Conference on Applications of Computer Vision (rok: 2023, tom: WACV 2023, strony: 3848-3857), Wydawca: IEEE/CVF
    Data:
    konferencja 2023
    Status:
    Published
    DOI:
    10.1109/WACV56688.2023.00384 - link to the publication
  8. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    Authors:
    Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
    Conference:
    Conference on Artificial Intelligence (rok: 2024, tom: Conference on Artificial Intelligence (AAAI 2024), strony: 45667), Wydawca: AAAI Press
    Data:
    konferencja 20-27 luty 2024
    Status:
    Published
    DOI:
    10.48550/arXiv.2308.08162 - link to the publication
  9. Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
    Authors:
    Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
    Conference:
    Conference of the European Chapter of the Association for Computational Linguistics (rok: 2023, tom: EACL 2023, strony: 1788-1805), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 2023
    Status:
    Published
    DOI:
    10.18653/v1/2023.findings-eacl.133 - link to the publication
  10. Interpretable Image Classification with Differentiable Prototypes Assignment
    Authors:
    D. Rymarczyk, Ł. Struski, M. Górszczak, K. Lewandowska, J. Tabor, B. Zieliński
    Conference:
    European Conference on Computer Vision (rok: 2022, tom: ECCV 2022, strony: 351-368), Wydawca: Springer
    Data:
    konferencja 2022
    Status:
    Published
    DOI:
    10.1007/978-3-031-19775-8_21 - link to the publication
  11. Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
    Authors:
    Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
    Conference:
    Conference of the European Chapter of the Association for Computational Linguistics (rok: 2023, tom: EACL 2023, strony: 1788-1805), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 2023
    Status:
    Accepted for publication
    DOI:
    link to the publication
  12. ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
    Authors:
    Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
    Conference:
    Winter Conference on Applications of Computer Vision (rok: 2023, tom: WACV 2023, strony: 1481-1492), Wydawca: IEEE/CVF
    Data:
    konferencja 2023
    Status:
    Published
    DOI:
    10.1109/WACV56688.2023.00153 - link to the publication
  13. r-softmax: Generalized Softmax with Controllable Sparsity Rate
    Authors:
    Klaudia Bałazy, Łukasz Struski, Marek Śmieja, Jacek Tabor
    Conference:
    Computational Science – ICCS 2023 (rok: 2023, tom: 14074, strony: 137–145), Wydawca: Springer
    Data:
    konferencja 3-5 lipca 2023
    Status:
    Published
    DOI:
    10.1007/978-3-031-36021-3_11 - link to the publication
  14. Bounding Evidence and Estimating Log-Likelihood in VAE
    Authors:
    Łukasz Struski, Marcin Mazur, Paweł Batorski, Przemysław Spurek, Jacek Tabor
    Conference:
    International Conference on Artificial Intelligence and Statistics (rok: 2023, tom: AISTATS 2023, strony: 5036--5051), Wydawca: Proceedings of Machine Learning Research
    Data:
    konferencja 2023
    Status:
    Published
    DOI:
    link to the publication

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