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
- 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], (2026), accepted
- Grzegorz Wilczyński, Rafał Tobiasz, Paweł Gora, Marcin Mazur, Przemysław Spurek, QuantumGS: Quantum Encoding Framework for Gaussian Splatting, Parallel Problem Solving from Nature [PPSN], (2026), accepted
- 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
- Weronika Smolak-Dyżewska, Malarz Dawid, Kornel Howil, Jan Kaczmarczyk, Marcin Mazur, Przemysław Spurek, VeGaS: Video Gaussian splatting, Information Sciences 735 (2026), 123033
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