k-means Approach to the Karhunen-Loeve Transform - Krzysztof Misztal; Przemyslaw Spurek; Jacek Tabor (CoRR, 2011)

The memory centre - Przemyslaw Spurek; Jacek Tabor (CoRR, 2012)

Weighted Approach to Projective Clustering. - Przemyslaw Spurek; Jacek Tabor; Krzysztof Misztal (CISIM, 2013)

Detection of Disk-Like Particles in Electron Microscopy Images. - Przemyslaw Spurek; Jacek Tabor; Elzbieta Zajac (CORES, 2013)

The memory center. - Przemyslaw Spurek; Jacek Tabor (Inf. Sci., 2013)

A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves. - Przemyslaw Spurek; Alena Chaikouskaya; Jacek Tabor; Elzbieta Zajac (CISIM, 2014)

Subspaces Clustering Approach to Lossy Image Compression. - Przemyslaw Spurek; Marek Smieja; Krzysztof Misztal (CISIM, 2014)

Cross-entropy clustering. - Jacek Tabor; Przemyslaw Spurek (Pattern Recognit., 2014)

Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation. - Arkadiusz Tomczyk; Przemyslaw Spurek; Michal Podgórski; Krzysztof Misztal; Jacek Tabor (CORES, 2015)

Cross-Entropy Clustering Approach to One-Class Classification. - Przemyslaw Spurek; Mateusz Wójcik; Jacek Tabor (ICAISC (1), 2015)

Introduction to Cross-Entropy Clustering The R Package CEC. - Jacek Tabor; Przemyslaw Spurek; Konrad Kamieniecki; Marek Smieja; Krzysztof Misztal (CoRR, 2015)

Clustering of Gaussian distributions. - Przemyslaw Spurek; Wieslaw Palka (IJCNN, 2016)

Split-and-merge Tweak in Cross Entropy Clustering. - Krzysztof Hajto; Konrad Kamieniecki; Krzysztof Misztal; Przemyslaw Spurek (CISIM, 2017)

General split gaussian Cross-Entropy clustering. - Przemyslaw Spurek (Expert Syst. Appl., 2017)

Active function Cross-Entropy Clustering. - Przemyslaw Spurek; Jacek Tabor; Krzysztof Byrski (Expert Syst. Appl., 2017)

R Package CEC. - Przemyslaw Spurek; Konrad Kamieniecki; Jacek Tabor; Krzysztof Misztal; Marek Smieja (Neurocomputing, 2017)

ICA based on asymmetry. - Przemyslaw Spurek; Jacek Tabor; Przemyslaw Rola; M. Ociepka (Pattern Recognit., 2017)

Processing of missing data by neural networks. - Marek Smieja; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001; Przemyslaw Spurek (NeurIPS, 2018)

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

Deep processing of structured data. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (CoRR, 2018)

Lossy compression approach to subspace clustering. - Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (Inf. Sci., 2018)

Fast independent component analysis algorithm with a simple closed-form solution. - Przemyslaw Spurek; Jacek Tabor; Lukasz Struski; Marek Smieja (Knowl. Based Syst., 2018)

Set Aggregation Network as a Trainable Pooling Layer. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (ICONIP (2), 2019)

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

One-element Batch Training by Moving Window. - Przemyslaw Spurek; Szymon Knop; Jacek Tabor; Igor T. Podolak; Bartosz Wójcik (CoRR, 2019)

Independent Component Analysis based on multiple data-weighting. - Andrzej Bedychaj; Przemyslaw Spurek; Lukasz Struski; Jacek Tabor (CoRR, 2019)

Geometric Graph Convolutional Neural Networks. - Przemyslaw Spurek; Tomasz Danel; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (CoRR, 2019)

SVM with a neutral class. - Marek Smieja; Jacek Tabor; Przemyslaw Spurek (Pattern Anal. Appl., 2019)

Online updating of active function cross-entropy clustering. - Przemyslaw Spurek; Krzysztof Byrski; Jacek Tabor (Pattern Anal. Appl., 2019)

Projected memory clustering. - Lukasz Struski; Przemyslaw Spurek; Jacek Tabor; Marek Smieja (Pattern Recognit. Lett., 2019)

Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. - Pawel Morawiecki; Przemyslaw Spurek; Marek Smieja; Jacek Tabor (ESANN, 2020)

Hypernetwork approach to generating point clouds. - Przemyslaw Spurek; Sebastian Winczowski; Jacek Tabor; Maciej Zamorski; Maciej Zieba; Tomasz Trzcinski (ICML, 2020)

Processing of Incomplete Images by (Graph) Convolutional Neural Networks. - Tomasz Danel; Marek Smieja; Lukasz Struski; Przemyslaw Spurek; Lukasz Maziarka (ICONIP (2), 2020)

Spatial Graph Convolutional Networks. - Tomasz Danel; Przemyslaw Spurek; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (ICONIP (5), 2020)

Non-linear ICA Based on Cramer-Wold Metric. - Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor; Lukasz Maziarka; Stanislaw Jastrzebski (ICONIP (3), 2020)

WICA: nonlinear weighted ICA. - Andrzej Bedychaj; Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor (CoRR, 2020)

HyperFlow: Representing 3D Objects as Surfaces. - Przemyslaw Spurek; Maciej Zieba; Jacek Tabor; Tomasz Trzcinski (CoRR, 2020)

Flow-based anomaly detection. - Lukasz Maziarka; Marek Smieja; Marcin Sendera; Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (CoRR, 2020)

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

Continual Learning of 3D Point Cloud Generators. - Michal Sadowski; Karol J. Piczak; Przemyslaw Spurek; Tomasz Trzcinski (ICONIP (1), 2021)

Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. - Marcin Sendera; Lukasz Struski; Przemyslaw Spurek (ICONIP (5), 2021)

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. - Bartosz Wójcik; Pawel Morawiecki; Marek Smieja; Tomasz Krzyzek; Przemyslaw Spurek; Jacek Tabor (ICTAI, 2021)

Non-Gaussian Gaussian Processes for Few-Shot Regression. - Marcin Sendera; Jacek Tabor; Aleksandra Nowak 001; Andrzej Bedychaj; Massimiliano Patacchiola; Tomasz Trzcinski; Przemyslaw Spurek; Maciej Zieba (NeurIPS, 2021)

End-to-End Sinkhorn Autoencoder With Noise Generator. - Kamil Deja; Jan Dubinski; Piotr Nowak; Sandro Wenzel; Przemyslaw Spurek; Tomasz Trzcinski (IEEE Access, 2021)

Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. - Przemyslaw Spurek; Sebastian Winczowski; Maciej Zieba; Tomasz Trzcinski; Kacper Kania (CoRR, 2021)

HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. - Ivan Kostiuk; Przemyslaw Stachura; Slawomir Konrad Tadeja; Tomasz Trzcinski; Przemyslaw Spurek (CoRR, 2021)

Flow-based SVDD for anomaly detection. - Marcin Sendera; Marek Smieja; Lukasz Maziarka; Lukasz Struski; Przemyslaw Spurek; Jacek Tabor (CoRR, 2021)

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)

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. - Piotr Tempczyk; Rafal Michaluk; Lukasz Garncarek; Przemyslaw Spurek; Jacek Tabor; Adam Golinski (ICML, 2022)

Continual Learning with Guarantees via Weight Interval Constraints. - Maciej Wolczyk; Karol J. Piczak; Bartosz Wójcik; Lukasz Pustelnik; Pawel Morawiecki; Jacek Tabor; Tomasz Trzcinski; Przemyslaw Spurek (ICML, 2022)

Nonlinear Weighted Independent Component Analysis. - Andrzej Bedychaj; Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor (IPMU (2), 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)

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. - Marcin Przewiezlikowski; P. Przybysz; Jacek Tabor; Maciej Zieba; Przemyslaw Spurek (CoRR, 2022)

Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. - Dominik Zimny; Tomasz Trzcinski; Przemyslaw Spurek (CoRR, 2022)

Hypernetwork approach to Bayesian MAML. - Piotr Borycki; Piotr Kubacki; Marcin Przewiezlikowski; Tomasz Kusmierczyk; Jacek Tabor; Przemyslaw Spurek (CoRR, 2022)

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. - Filip Szatkowski; Karol J. Piczak; Przemyslaw Spurek; Jacek Tabor; Tomasz Trzcinski (CoRR, 2022)

LocoGAN - Locally convolutional GAN. - Lukasz Struski; Szymon Knop; Przemyslaw Spurek; Wiktor Daniec; Jacek Tabor (Comput. Vis. Image Underst., 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)

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. - Lukasz Maziarka; Marek Smieja; Marcin Sendera; Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

General Hypernetwork Framework for Creating 3D Point Clouds. - Przemyslaw Spurek; Maciej Zieba; Jacek Tabor; Tomasz Trzcinski (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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

Hypernetworks Build Implicit Neural Representations of Sounds. - Filip Szatkowski; Karol J. Piczak; Przemyslaw Spurek; Jacek Tabor; Tomasz Trzcinski (ECML/PKDD (4), 2023)

HyperShot: Few-Shot Learning by Kernel HyperNetworks. - Marcin Sendera; Marcin Przewiezlikowski; Konrad Karanowski; Maciej Zieba; Jacek Tabor; Przemyslaw Spurek (WACV, 2023)

HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN. - Adam Kania; Artur Kasymov; Maciej Zieba; Przemyslaw Spurek (CoRR, 2023)

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering. - Wojciech Zajac; Jacek Tabor; Maciej Zieba; Przemyslaw Spurek (CoRR, 2023)

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation. - Dominik Zimny; Jacek Tabor; Maciej Zieba; Przemyslaw Spurek (CoRR, 2023)

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. - Lukasz Struski; Tomasz Urbanczyk; Krzysztof Bucki; Bartlomiej Cupial; Aneta Kaczynska; Przemyslaw Spurek; Jacek Tabor (CoRR, 2023)

Gaussian Splatting with NeRF-based Color and Opacity. - Dawid Malarz; Weronika Smolak; Jacek Tabor; Slawomir Konrad Tadeja; Przemyslaw Spurek (CoRR, 2023)

The general framework for few-shot learning by kernel HyperNetworks. - Marcin Sendera; Marcin Przewiezlikowski; Jan Miksa; Mateusz Rajski; Konrad Karanowski; Maciej Zieba; Jacek Tabor; Przemyslaw Spurek (Mach. Vis. Appl., 2023)

HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population. - Ivan Kostiuk; Przemyslaw Stachura; Slawomir Konrad Tadeja; Tomasz Trzcinski; Przemyslaw Spurek (IEEE Trans. Games, 2023)

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

RegFlow: Probabilistic Flow-Based Regression for Future Prediction. - Maciej Zieba; Marcin Przewiezlikowski; Marek Smieja; Jacek Tabor; Tomasz Trzcinski; Przemyslaw Spurek (ACIIDS (Companion 2), 2024)

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

NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. - Wojciech Zajac; Joanna Waczynska; Piotr Borycki; Jacek Tabor; Maciej Zieba; Przemyslaw Spurek (ICCS (1), 2024)

D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup. - Joanna Waczynska; Piotr Borycki; Joanna Kaleta; Slawomir Konrad Tadeja; Przemyslaw Spurek (NeurIPS, 2024)

Face Identity-Aware Disentanglement in StyleGAN. - Adrian Suwala; Bartosz Wójcik; Magdalena Proszewska; Jacek Tabor; Przemyslaw Spurek; Marek Smieja (WACV, 2024)

GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting. - Joanna Waczynska; Piotr Borycki; Slawomir Konrad Tadeja; Jacek Tabor; Przemyslaw Spurek (CoRR, 2024)

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

ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting. - Georgii Stanishevskii; Jakub Steczkiewicz; Tomasz Szczepanik; Slawomir Konrad Tadeja; Jacek Tabor; Przemyslaw Spurek (CoRR, 2024)

HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. - Patryk Krukowski; Anna Bielawska; Kamil Ksiazek; Pawel Wawrzynski; Pawel Batorski; Przemyslaw Spurek (CoRR, 2024)

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

MiraGe: Editable 2D Images using Gaussian Splatting. - Joanna Waczynska; Tomasz Szczepanik; Piotr Borycki; Slawomir Konrad Tadeja; Thomas Bohné; Przemyslaw Spurek (CoRR, 2024)

Make Interval Bound Propagation great again. - Patryk Krukowski; Daniel Wilczak; Jacek Tabor; Anna Bielawska; Przemyslaw Spurek (CoRR, 2024)

AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models. - Artur Kasymov; Marcin Sendera; Michal Stypulkowski; Maciej Zieba; Przemyslaw Spurek (CoRR, 2024)

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

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy. - Joanna Kaleta; Weronika Smolak-Dyzewska; Dawid Malarz; Diego Dall'Alba; Przemyslaw Korzeniowski; Przemyslaw Spurek (CoRR, 2024)

Neural Surface Priors for Editable Gaussian Splatting. - Jakub Szymkowiak; Weronika Jakubowska; Dawid Malarz; Weronika Smolak-Dyzewska; Maciej Zieba; Przemyslaw Musialski; Wojtek Palubicki; Przemyslaw Spurek (CoRR, 2024)

Gaussian model for closed curves. - Krzysztof Byrski; Jacek Tabor; Przemyslaw Spurek (Expert Syst. Appl., 2024)

Efficient GPU implementation of randomized SVD and its applications. - Lukasz Struski; Pawel M. Morkisz; Przemyslaw Spurek; Samuel Rodriguez Bernabeu; Tomasz Trzcinski (Expert Syst. Appl., 2024)

Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. - Dominik Zimny; Joanna Waczynska; Tomasz Trzcinski; Przemyslaw Spurek (Pattern Recognit. Lett., 2024)

Hypernetwork Approach to Bayesian MAML (Student Abstract). - Piotr Borycki; Piotr Kubacki; Marcin Przewiezlikowski; Tomasz Kusmierczyk; Jacek Tabor; Przemyslaw Spurek (AAAI, 2025)

FreSh: Frequency Shifting for Accelerated Neural Representation Learning. - Adam Kania; Marko Mihajlovic; Sergey Prokudin; Jacek Tabor; Przemyslaw Spurek (ICLR, 2025)

GeoGuide: Geometric Guidance of Diffusion Models. - Mateusz Poleski; Jacek Tabor; Przemyslaw Spurek (WACV, 2025)

Gaussian Splatting with NeRF-based color and opacity. - Dawid Malarz; Weronika Smolak-Dyzewska; Jacek Tabor; Slawomir Konrad Tadeja; Przemyslaw Spurek (Comput. Vis. Image Underst., 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)

HINT: Hypernetwork approach to training weight interval regions in continual learning. - Patryk Krukowski; Anna Bielawska; Kamil Ksiazek; Pawel Wawrzynski; Pawel Batorski; Przemyslaw Spurek (Inf. Sci., 2025)

HyperMask: Adaptive hypernetwork-based masks for continual learning. - Kamil Ksiazek; Przemyslaw Spurek (Neural Networks, 2025)

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

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

Classifier-free Guidance with Adaptive Scaling. - Dawid Malarz; Artur Kasymov; Maciej Zieba; Jacek Tabor; Przemyslaw Spurek (CoRR, 2025)

REdiSplats: Ray Tracing for Editable Gaussian Splatting. - Krzysztof Byrski; Grzegorz Wilczynski; Weronika Smolak-Dyzewska; Piotr Borycki; Dawid Baran; Slawomir Konrad Tadeja; Przemyslaw Spurek (CoRR, 2025)

HyConEx: Hypernetwork classifier with counterfactual explanations. - Patryk Marszalek; Ulvi Movsum-zada; Oleksii Furman; Kamil Ksiazek; Przemyslaw Spurek; Marek Smieja (CoRR, 2025)

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

EPIC: Explanation of Pretrained Image Classification Networks via Prototype. - Piotr Borycki; Magdalena Tredowicz; Szymon Janusz; Jacek Tabor; Przemyslaw Spurek; Arkadiusz Lewicki; Lukasz Struski (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)

HuSc3D: Human Sculpture dataset for 3D object reconstruction. - Weronika Smolak-Dyzewska; Dawid Malarz; Grzegorz Wilczynski; Rafal Tobiasz; Joanna Waczynska; Piotr Borycki; Przemyslaw Spurek (CoRR, 2025)

SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense. - Patryk Krukowski; Lukasz Gorczyca; Piotr Helm; Kamil Ksiazek; Przemyslaw Spurek (CoRR, 2025)

GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing. - Mikolaj Zielinski; Krzysztof Byrski; Tomasz Szczepanik; Przemyslaw Spurek (CoRR, 2025)

UnGuide: Learning to Forget with LoRA-Guided Diffusion Models. - Agnieszka Polowczyk; Alicja Polowczyk; Dawid Malarz; Artur Kasymov; Marcin Mazur; Jacek Tabor; Przemyslaw Spurek (CoRR, 2025)