Most significant publications
- Łukasz Struski, Marcin Mazur, Paweł Batorski, Przemysław Spurek, Jacek Tabor, Bounding Evidence and Estimating Log-Likelihood in VAE, International Conference on Artificial Intelligence and Statistics [AISTATS](MAIN) 206 (2023), 5036-5051
- Marcin Mazur, Łukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemysław Spurek, Target layer regularization for continual learning using Cramer-Wold distance, Information Sciences 609 (2022), 1369-1380
- Szymon Knop, Marcin Mazur, Igor Podolak, Przemysław Spurek, Jacek Tabor, Generative models with kernel distance in data space, Neurocomputing 487 (2022), 119-129
- Stanisław Jastrzębski, Szymon Knop, Marcin Mazur, Igor Podolak, Przemysław Spurek, Jacek Tabor, Cramer-Wold Auto-Encoder, Journal of Machine Learning Research 21 (2020), 1-28
- Marcin Mazur, Piotr Oprocha, S-limit shadowing is C^0-dense, Journal of Mathematical Analysis and Applications 408 (2013), 465-475
Recent publications
- Grzegorz Wilczyński, Rafał Tobiasz, Paweł Gora, Marcin Mazur, Przemysław Spurek, QuantumGS: Quantum Encoding Framework for Gaussian Splatting, Parallel Problem Solving from Nature [PPSN] 16987 (2027), 319-333
- Krzysztof Byrski, Marcin Mazur, Jacek Tabor, Tadeusz Dziarmaga, Marcin Kądziołka, Dawid Baran, Przemysław Spurek, RaySplats: Ray Tracing Based Gaussian Splatting, International Conference on Neural Information Processing [ICONIP], (2026), accepted
- Alicja Polowczyk, Agnieszka Polowczyk, Dawid Malarz, Artur Kasymov, Jacek Tabor, Marcin Mazur, Przemysław Spurek, UnGuide: Learning to Forget with LoRA-Guided Diffusion Models, Conference in Uncertainty in Artificial Intelligence [UAI](MAIN) 337 (2026), 5471--5503
- Rafał Tobiasz, Grzegorz Wilczyński, Marcin Mazur, Sławomir K. Tadeja, Weronika Smolak-Dyżewska, Przemysław Spurek, MeshSplats: Mesh-Based Rendering With Gaussian Splatting Initialization, International Conference on Computational Science [ICCS] 16784 (2026), 386–394
- Piotr Borycki, Weronika Smolak-Dyżewska, Joanna Waczyńska, Marcin Mazur, Sławomir K. Tadeja, Przemysław Spurek, GASP: Gaussian Splatting for physics-based simulations, Computer Vision and Image Understanding 265 (2026), 104699
Interests
Machine and statistical learning methods, including (but not limited to) generative models, variational inference, and continual learning
Marcin Mazur
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)
marcin.mazur@uj.edu.pl