Selected books
- Jacek Tabor, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Maciej Wołczyk, „Głębokie uczenie. Wprowadzenie”, Helion, 2022
Most significant publications
- Łukasz Struski, Szymon Knop, Jacek Tabor, Daniec Wiktor, Przemysław Spurek, LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding 221 (2022), 103462
- Łukasz Struski, Marek Śmieja, Jacek Tabor, Pointed subspace approach to incomplete data, Journal of Classification 37 (2020), 42-57
- Marek Śmieja, Łukasz Struski, Jacek Tabor, Mateusz Marzec, Generalized RBF kernel for incomplete data, Knowledge-Based Systems 173 (2019), 150-162
- Łukasz Struski, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Projected memory clustering, Pattern Recognition Letters 123 (2019), 9-15
- Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek, Processing of missing data by neural networks, Advances in Neural Information Processing Systems 31 (2018), 2719-2729
Recent publications
- Mikołaj Zasada, Łukasz Struski, Jacek Tabor, Marcin Kurdziel, SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs, International Conference on Machine Learning [ICML], (2026),
- Igor Sieradzki, Łukasz Struski, Igor Podolak, Romuald A. Janik, Class Incremental Learning and Auxiliary Unlabelled Data: The Importance of Neutral Examples, Machine Learning 115 (2026),
- Piotr Borycki, Magdalena Trędowicz, Szymon Janusz, Jacek Tabor, Przemysław Spurek, Arkadiusz Lewicki, Łukasz Struski, EPIC: Explanation of Pretrained Image Classification Networks via Prototypes, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) 40(21) (2026), 17366-17373
- Marcin Mazur, Tadeusz Dziarmaga, Łukasz Struski, Piotr Kościelniak, Tight Bounds for Jensen’s Gap with Applications to Variational Inference, ACM International Conference on Information and Knowledge Management [CIKM](MAIN) CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management (2025), 2074-2083
- Magdalena Trędowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Łukasz Struski, PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification, European Conference on Artificial Intelligence [ECAI](MAIN) 413: ECAI 2025 (2025), 411-418
Interests
Research interests: clustering methods, machine learning, deep learning
Łukasz Struski
academic degree/title Doctor of Science positionresearch and faculty staff member group, assistant professor
unit
- Department of Applied Mathematics
- Institute of Mathematics
- Group of Machine Learning Research (GMUM)
lukasz.struski@uj.edu.pl