Wizytówka - Wydział Matematyki i Informatyki

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

avatar for Marcin Mazur

Marcin Mazur

academic degree/title Doctor of Science position
research and faculty staff member group, assistant professor
unit
  • Department of Applied Mathematics
  • Institute of Mathematics
research group
  • Group of Machine Learning Research (GMUM)
ORCID contact
marcin.mazur@uj.edu.pl