Incircle Partnerships: 10780. - Kiran S. Kedlaya; Marcin Mazur (Am. Math. Mon., 2000)

Quadrilaterals in an Isosceles Triangle: 10653. - Marcin Mazur; Roy Barbara; Jean Anglesio; Robin J. Chapman; N. Lakshmanan; John Melville; G. Peng; C. R. Pranesachar (Am. Math. Mon., 2000)

Rigid and Very Rigid Tetrahedra: 10717. - Marcin Mazur; Robin Chapman; Petr Lisonek; Robert B. Israel; Murray S. Klamkin (Am. Math. Mon., 2000)

Tangent Lines and Collinear Points: 10673. - Marcin Mazur; Kit Hanes; Jean Anglesio; M. Benedicty; Shalosh B. Ekhad; N. Lakshmanan; Albert Nijenhuis; John H. Smith (Am. Math. Mon., 2000)

Problem 10944. - Marcin Mazur (Am. Math. Mon., 2002)

Problem 11048. - Matthias Beck; Marcin Mazur; Shelemyahu Zacks (Am. Math. Mon., 2003)

A Root Inequality: 10944. - Marcin Mazur; Roberto Tauraso; Michel Bataille (Am. Math. Mon., 2003)

"Ordinary" Spherical Triangles: 11048. - Matthias Beck; Marcin Mazur; Shelemyahu Zacks (Am. Math. Mon., 2005)

Cramer-Wold AutoEncoder. - Jacek Tabor; Szymon Knop; Przemyslaw Spurek; Igor T. Podolak; Marcin Mazur; Stanislaw Jastrzebski (CoRR, 2018)

An Inequality for the Volume of a Tetrahedron. - Marcin Mazur (Am. Math. Mon., 2018)

Sliced generative models. - Szymon Knop; Marcin Mazur; Jacek Tabor; Igor T. Podolak; Przemyslaw Spurek (CoRR, 2019)

Gravilon: Applications of a New Gradient Descent Method to Machine Learning. - Chad Kelterborn; Marcin Mazur; Bogdan V. Petrenko (CoRR, 2020)

Cramer-Wold Auto-Encoder. - Szymon Knop; Przemyslaw Spurek; Jacek Tabor; Igor T. Podolak; Marcin Mazur; Stanislaw Jastrzebski (J. Mach. Learn. Res., 2020)

HyperCube: Implicit Field Representations of Voxelized 3D Models. - Magdalena Proszewska; Marcin Mazur; Tomasz Trzcinski; Przemyslaw Spurek (CoRR, 2021)

Target Layer Regularization for Continual Learning Using Cramer-Wold Generator. - Marcin Mazur; Lukasz Pustelnik; Szymon Knop; Patryk Pagacz; Przemyslaw Spurek (CoRR, 2021)

Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. - Szymon Knop; Przemyslaw Spurek; Marcin Mazur; Jacek Tabor; Igor T. Podolak (ICIP, 2022)

HyperPocket: Generative Point Cloud Completion. - Przemyslaw Spurek; Artur Kasymov; Marcin Mazur; Diana Janik; Slawomir Konrad Tadeja; Lukasz Struski; Jacek Tabor; Tomasz Trzcinski (IROS, 2022)

Generative models with kernel distance in data space. - Szymon Knop; Marcin Mazur; Przemyslaw Spurek; Jacek Tabor; Igor T. Podolak (Neurocomputing, 2022)

Target layer regularization for continual learning using Cramer-Wold distance. - Marcin Mazur; Lukasz Pustelnik; Szymon Knop; Patryk Pagacz; Przemyslaw Spurek (Inf. Sci., 2022)

Bounding Evidence and Estimating Log-Likelihood in VAE. - Lukasz Struski; Marcin Mazur; Pawel Batorski; Przemyslaw Spurek; Jacek Tabor (AISTATS, 2023)

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). - Magdalena Proszewska; Marcin Mazur; Tomasz Trzcinski; Przemyslaw Spurek (AAAI, 2024)

Interpoint Inception Distance: Gaussian-Free Evaluation of Deep Generative Models. - Dariusz Jajesniak; Piotr Koscielniak; Przemyslaw Klocek; Marcin Mazur (ICCS (1), 2024)

Modeling 3D Surfaces with a Locally Conditioned Atlas. - Przemyslaw Spurek; Sebastian Winczowski; Maciej Zieba; Tomasz Trzcinski; Kacper Kania; Marcin Mazur (ICCS (2), 2024)

HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation. - Pawel Batorski; Dawid Malarz; Marcin Przewiezlikowski; Marcin Mazur; Slawomir Konrad Tadeja; Przemyslaw Spurek (CoRR, 2024)

PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. - Magdalena Tredowicz; Lukasz Struski; Marcin Mazur; Szymon Janusz; Arkadiusz Lewicki; Jacek Tabor (CoRR, 2024)

GASP: Gaussian Splatting for Physic-Based Simulations. - Piotr Borycki; Weronika Smolak; Joanna Waczynska; Marcin Mazur; Slawomir Konrad Tadeja; Przemyslaw Spurek (CoRR, 2024)

VeGaS: Video Gaussian Splatting. - Weronika Smolak-Dyzewska; Dawid Malarz; Kornel Howil; Jan Kaczmarczyk; Marcin Mazur; Przemyslaw Spurek (CoRR, 2024)

On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract). - Tadeusz Dziarmaga; Tomasz Arczewski; Marcin Mazur; Maciej Wolczyk (AAAI, 2025)

Advanced Graph-Based Object Segmentation in Large-Scale 3D Point Clouds. - Marcin Mazur; Marcin Daszuta; Dominik Szajerman; Piotr Napieralski (ICCS (Workshops 3), 2025)

MultiPlaneNeRF: Neural radiance field with non-trainable representation. - Dominik Zimny; Artur Kasymov; Adam Kania; Jacek Tabor; Maciej Zieba; Marcin Mazur; Przemyslaw Spurek (Expert Syst. Appl., 2025)

NegGS: Negative Gaussian Splatting. - Artur Kasymov; Bartosz Czekaj; Marcin Mazur; Jacek Tabor; Przemyslaw Spurek (Inf. Sci., 2025)

Deep dive into generative models through feature interpoint distances. - Dariusz Jajesniak; Piotr Koscielniak; Arkadiusz Zajdel; Marcin Mazur (J. Comput. Sci., 2025)

RaySplats: Ray Tracing based Gaussian Splatting. - Krzysztof Byrski; Marcin Mazur; Jacek Tabor; Tadeusz Dziarmaga; Marcin Kadziolka; Dawid Baran; Przemyslaw Spurek (CoRR, 2025)

Tight Bounds on Jensen's Gap: Novel Approach with Applications in Generative Modeling. - Marcin Mazur; Piotr Koscielniak; Lukasz Struski (CoRR, 2025)

MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization. - Rafal Tobiasz; Grzegorz Wilczynski; Marcin Mazur; Slawomir Konrad Tadeja; Przemyslaw Spurek (CoRR, 2025)

PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models. - Tadeusz Dziarmaga; Marcin Kadziolka; Artur Kasymov; Marcin Mazur (CoRR, 2025)

CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression. - Krzysztof Byrski; Jacek Tabor; Przemyslaw Spurek; Marcin Mazur (CoRR, 2025)

CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting. - Kornel Howil; Joanna Waczynska; Piotr Borycki; Tadeusz Dziarmaga; Marcin Mazur; Przemyslaw Spurek (CoRR, 2025)