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| 1 | Proceeding paper 2023
Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek, | HyperShot: few-shot learning by kernel Hypernetworks. W: 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 3-7 January 2023, Waikoloa, Hawaii : proceedings. Danvers, MA : IEEE, cop. 2023. s. 2468-2477. ISBN: 978-1-6654-9346-8 | | Resources:DOI | |
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| 2 | Article 2023
Michał Stypułkowski, Konrad Karanowski, Tomasz Trzciński, Maciej Zięba, | Continual learning on 3D point clouds with random compressed rehearsal. Computer Vision and Image Understanding. 2023, vol. 228, art. 103621, s. 1-8. ISSN: 1077-3142; 1090-235X | | Resources:DOIURLSFX |    |
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| 3 | Proceeding paper 2022
Paweł Lorek, Rafał Nowak, Tomasz Trzciński, Maciej Zięba, | FlowHMM: fow-based continuous hidden Markov models. W: Advances in Neural Information Processing Systems : 36th Conference on Neural Information Processing Systems, NeurIPS 2022 : Virtual-only Conference / eds. S. Koyejo [i in.]. [San Diego, CA. : Neural Information Processing Systems Foundation], 2022. s. 1-17. ISBN: 978-1-7138-7108-8 | | Resources:URLSFX | |
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| 4 | Proceeding paper 2022
Patryk Rygiel, Maciej Zięba, Tomasz Konopczyński, | Eigenvector grouping for point cloud vessel labeling. W: Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, Amsterdam, Netherlands, 18 November 2022 / eds. Erik Bekkers, Jelmer M. Wolterink, Angelica Aviles-Rivero. [Cambridge, MA : JMLR], cop. 2022. s. 72-84. | | Resources:URLSFX |  |
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| 5 | Proceeding paper 2022
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zięba, Patryk E Wielopolski, Rafał Kurczab, Marek Śmieja, | PluGeN: multi-label conditional generation from pre-trained models. W: Proceedings of the 36th AAAI Conference on Artificial Intelligence : February 22 - March 1, 2022 : virtual conferece / eds. Gabriel Pedroza [i in.]. Palo Alto, USA : AAAI Press, cop. 2022. s. 8647-8656. ISBN: 978-1-57735-876-3 | | Resources:DOIURLSFX | |
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| 6 | Article 2022
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| 7 | Proceeding paper 2021
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzciński, Przemysław Spurek, Maciej Zięba, | Non-Gaussian Gaussian processes for few-shot regression. W: Advances in Neural Information Processing Systems : 35th Conference on Neural Information Processing Systems, NeurIPS 2021 : Virtual-only Conference, December 06-14, 2021 / eds. M. Ranzato [i in.]. [San Diego, CA. : Neural Information Processing Systems Foundation], 2021. s. 1-14. ISBN: 978-1-7138-4539-3 | | Resources:URLSFX | |
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| 8 | Article 2021
Michał Stypułkowski, Kacper Kania, Maciej Zięba, Tomasz Trzciński, Jan Chorowski, | Representing point clouds with generative conditional invertible flow networks. Pattern Recognition Letters. 2021, vol. 150, s. 26-32. ISSN: 0167-8655; 1872-7344 | | Resources:DOISFX | |
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| 9 | Proceeding paper 2020
Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zięba, Tomasz Trzciński, | Hypernetwork approach to generating point clouds. W: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event / eds. Hal Daumé III, Aarti Singh. [Cambridge, MA : JMLR, 2020]. s. 9099-9108. | | Resources:URLSFX | |
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| 10 | Proceeding paper 2020
Kacper Kania, Maciej Zięba, Tomasz Kajdanowicz, | UCSG-NET - Unsupervised Discovering of Constructive Solid Geometry Tree. W: Advances in Neural Information Processing Systems : 34th Conference on Neural Information Processing Systems, NeurIPS 2020 : Vancouver Convention Center, Vancouver, Canada, December 06-12, 2020 / eds. H. Larochelle [i in.]. [B.m. : Neural Information Processing Systems Foundation], 2020. s. 1-11. | | Resources:URLSFX | |
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