Przemyslaw Spurek

169 papers A* 11A 7B 7Journal 125Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnyStyle: Single-Pass Multimodal Stylization for 3D Gaussian Splatting. CoRR Joanna Kaleta, Bartosz Swirta, Kacper Kania, Przemyslaw Spurek, Marek Kowalski
2026	J	`jnl`	ColonSplat: Reconstruction of Peristaltic Motion in Colonoscopy with Dynamic Gaussian Splatting. CoRR Weronika Smolak-Dyzewska, Joanna Kaleta, Diego Dall'Alba, Przemyslaw Spurek
2026	J	`jnl`	DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models. CoRR Alicja Polowczyk, Agnieszka Polowczyk, Piotr Borycki, Joanna Waczynska, Jacek Tabor, Przemyslaw Spurek
2026	A*	`conf`	EPIC: Explanation of Pretrained Image Classification Networks via Prototypes. AAAI Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski
2026	J	`jnl`	GASP: Gaussian Splatting for physics-based simulations. Comput. Vis. Image Underst. Piotr Borycki, Weronika Smolak-Dyzewska, Joanna Waczynska, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek
2026	J	`jnl`	HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data. Neurocomputing Patryk Marszalek, Kamil Ksiazek, Oleksii Furman, Ulvi Movsum-zada, Przemyslaw Spurek, Marek Smieja
2026	J	`jnl`	IRIS: Intersection-aware Ray-based Implicit Editable Scenes. CoRR Grzegorz Wilczynski, Mikolaj Zielinski, Krzysztof Byrski, Joanna Waczynska, Dominik Belter, Przemyslaw Spurek
2026	J	`jnl`	QuantumGS: Quantum Encoding Framework for Gaussian Splatting. CoRR Grzegorz Wilczynski, Rafal Tobiasz, Pawel Góra, Marcin Mazur, Przemyslaw Spurek
2026	J	`jnl`	REBEL: Hidden Knowledge Recovery via Evolutionary-Based Evaluation Loop. CoRR Patryk Rybak, Pawel Batorski, Paul Swoboda, Przemyslaw Spurek
2026	J	`jnl`	ReLAPSe: Reinforcement-Learning-trained Adversarial Prompt Search for Erased concepts in unlearned diffusion models. CoRR Ignacy Kolton, Kacper Marzol, Pawel Batorski, Marcin Mazur, Paul Swoboda, Przemyslaw Spurek
2026	J	`jnl`	SMAL-pets: SMAL Based Avatars of Pets from Single Image. CoRR Piotr Borycki, Joanna Waczynska, Yizhe Zhu, Yongqiang Gao, Przemyslaw Spurek
2026	J	`jnl`	TATRA: Training-Free Instance-Adaptive Prompting Through Rephrasing and Aggregation. CoRR Bartosz Dziuba, Kacper Kuchta, Pawel Batorski, Przemyslaw Spurek, Paul Swoboda
2026	J	`jnl`	UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning. CoRR Piotr Wójcik, Maksym Petrenko, Wojciech Gromski, Przemyslaw Spurek, Maciej Zieba
2026	J	`jnl`	VeGaS: Video Gaussian Splatting. Inf. Sci. Weronika Smolak-Dyzewska, Dawid Malarz, Kornel Howil, Jan Kaczmarczyk, Marcin Mazur, Przemyslaw Spurek
2026	J	`jnl`	XSPLAIN: XAI-enabling Splat-based Prototype Learning for Attribute-aware INterpretability. CoRR Dominik Galus, Julia Farganus, Tymoteusz Zapala, Mikolaj Czachorowski, Piotr Borycki, Przemyslaw Spurek, Piotr Syga
2025	J	`jnl`	AEGIS: Preserving privacy of 3D Facial Avatars with Adversarial Perturbations. CoRR Dawid Wolkiewicz, Anastasiya Pechko, Przemyslaw Spurek, Piotr Syga
2025	A	`conf`	As Good as It KAN Get: High-Fidelity Audio Representation. CIKM Patryk Marszalek, Maciej Rut, Piotr Kawa, Przemyslaw Spurek, Piotr Syga
2025	B	`conf`	CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression. IJCNN Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek, Marcin Mazur
2025	J	`jnl`	CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression. CoRR Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek, Marcin Mazur
2025	J	`jnl`	CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting. CoRR Kornel Howil, Joanna Waczynska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemyslaw Spurek
2025	A	`conf`	Classifier-Free Guidance with Adaptive Scaling. ECAI Dawid Malarz, Artur Kasymov, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	Classifier-free Guidance with Adaptive Scaling. CoRR Dawid Malarz, Artur Kasymov, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	EPIC: Explanation of Pretrained Image Classification Networks via Prototype. CoRR Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski
2025	A*	`conf`	FreSh: Frequency Shifting for Accelerated Neural Representation Learning. ICLR Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	From Unlearning to UNBRANDING: A Benchmark for Trademark-Safe Text-to-Image Generation. CoRR Dawid Malarz, Artur Kasymov, Filip Manjak, Maciej Zieba, Przemyslaw Spurek
2025	J	`jnl`	GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing. CoRR Mikolaj Zielinski, Krzysztof Byrski, Tomasz Szczepanik, Przemyslaw Spurek
2025	J	`jnl`	GS-Verse: Mesh-based Gaussian Splatting for Physics-aware Interaction in Virtual Reality. CoRR Anastasiya Pechko, Piotr Borycki, Joanna Waczynska, Daniel Barczyk, Agata Szymanska, Slawomir Konrad Tadeja, Przemyslaw Spurek
2025	J	`jnl`	GaINeR: Geometry-Aware Implicit Network Representation. CoRR Weronika Jakubowska, Mikolaj Zielinski, Rafal Tobiasz, Krzysztof Byrski, Maciej Zieba, Dominik Belter, Przemyslaw Spurek
2025	J	`jnl`	Gaussian Splatting with NeRF-based color and opacity. Comput. Vis. Image Underst. Dawid Malarz, Weronika Smolak-Dyzewska, Jacek Tabor, Slawomir Konrad Tadeja, Przemyslaw Spurek
2025	A	`conf`	GeoGuide: Geometric Guidance of Diffusion Models. WACV Mateusz Poleski, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	HINT: Hypernetwork approach to training weight interval regions in continual learning. Inf. Sci. Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
2025	J	`jnl`	HuSc3D: Human Sculpture dataset for 3D object reconstruction. CoRR Weronika Smolak-Dyzewska, Dawid Malarz, Grzegorz Wilczynski, Rafal Tobiasz, Joanna Waczynska, Piotr Borycki, Przemyslaw Spurek
2025	J	`jnl`	HyConEx: Hypernetwork classifier with counterfactual explanations. CoRR Patryk Marszalek, Ulvi Movsum-zada, Oleksii Furman, Kamil Ksiazek, Przemyslaw Spurek, Marek Smieja
2025	J	`jnl`	HyperMask: Adaptive hypernetwork-based masks for continual learning. Neural Networks Kamil Ksiazek, Przemyslaw Spurek
2025	B	`conf`	HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields. DSAA Adam Kania, Artur Kasymov, Jakub Kosciukiewicz, Artur Górak, Marcin Mazur, Maciej Zieba, Przemyslaw Spurek
2025	A*	`conf`	Hypernetwork Approach to Bayesian MAML (Student Abstract). AAAI Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	Hypernetwork approach to rapid NeRF adaptation. Knowl. Based Syst. Pawel Batorski, Dawid Malarz, Marcin Przewiezlikowski, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek
2025	J	`jnl`	InTAct: Interval-based Task Activation Consolidation for Continual Learning. CoRR Patryk Krukowski, Jan Miksa, Piotr Helm, Jacek Tabor, Pawel Wawrzynski, Przemyslaw Spurek
2025	J	`jnl`	MedGS: Gaussian Splatting for Multi-Modal 3D Medical Imaging. CoRR Kacper Marzol, Ignacy Kolton, Weronika Smolak-Dyzewska, Joanna Kaleta, Marcin Mazur, Przemyslaw Spurek
2025	J	`jnl`	Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models. CoRR Agnieszka Polowczyk, Alicja Polowczyk, Joanna Waczynska, Piotr Borycki, Przemyslaw Spurek
2025	J	`jnl`	MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization. CoRR Rafal Tobiasz, Grzegorz Wilczynski, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek
2025	A*	`conf`	MiraGe: Editable 2D Images using Gaussian Splatting. ICML Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Konrad Tadeja, Thomas Bohné, Przemyslaw Spurek
2025	J	`jnl`	MultiPlaneNeRF: Neural radiance field with non-trainable representation. Expert Syst. Appl. Dominik Zimny, Artur Kasymov, Adam Kania, Jacek Tabor, Maciej Zieba, Marcin Mazur, Przemyslaw Spurek
2025	J	`jnl`	NegGS: Negative Gaussian Splatting. Inf. Sci. Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek
2025	B	`conf`	Neural Surface Priors for Editable Gaussian Splatting. IJCNN Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz, Weronika Smolak-Dyzewska, Maciej Zieba, Wojtek Palubicki, Przemyslaw Musialski, Przemyslaw Spurek
2025	—	`conf`	PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy. MICCAI (10) Joanna Kaleta, Weronika Smolak-Dyzewska, Dawid Malarz, Diego Dall'Alba, Przemyslaw Korzeniowski, Przemyslaw Spurek
2025	J	`jnl`	REdiSplats: Ray Tracing for Editable Gaussian Splatting. CoRR Krzysztof Byrski, Grzegorz Wilczynski, Weronika Smolak-Dyzewska, Piotr Borycki, Dawid Baran, Slawomir Konrad Tadeja, Przemyslaw Spurek
2025	J	`jnl`	RaySplats: Ray Tracing based Gaussian Splatting. CoRR Krzysztof Byrski, Marcin Mazur, Jacek Tabor, Tadeusz Dziarmaga, Marcin Kadziolka, Dawid Baran, Przemyslaw Spurek
2025	J	`jnl`	SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense. CoRR Patryk Krukowski, Lukasz Gorczyca, Piotr Helm, Kamil Ksiazek, Przemyslaw Spurek
2025	J	`jnl`	UnGuide: Learning to Forget with LoRA-Guided Diffusion Models. CoRR Agnieszka Polowczyk, Alicja Polowczyk, Dawid Malarz, Artur Kasymov, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek
2024	J	`jnl`	AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models. CoRR Artur Kasymov, Marcin Sendera, Michal Stypulkowski, Maciej Zieba, Przemyslaw Spurek
2024	A*	`conf`	D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup. NeurIPS Joanna Waczynska, Piotr Borycki, Joanna Kaleta, Slawomir Konrad Tadeja, Przemyslaw Spurek
2024	J	`jnl`	D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup. CoRR Joanna Waczynska, Piotr Borycki, Joanna Kaleta, Slawomir Konrad Tadeja, Przemyslaw Spurek
2024	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2024	A	`conf`	Face Identity-Aware Disentanglement in StyleGAN. WACV Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
2024	J	`jnl`	FreSh: Frequency Shifting for Accelerated Neural Representation Learning. CoRR Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek
2024	J	`jnl`	GASP: Gaussian Splatting for Physic-Based Simulations. CoRR Piotr Borycki, Weronika Smolak, Joanna Waczynska, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek
2024	J	`jnl`	GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting. CoRR Joanna Waczynska, Piotr Borycki, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek
2024	J	`jnl`	Gaussian model for closed curves. Expert Syst. Appl. Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek
2024	J	`jnl`	GeoGuide: Geometric guidance of diffusion models. CoRR Mateusz Poleski, Jacek Tabor, Przemyslaw Spurek
2024	A*	`conf`	HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). AAAI Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
2024	J	`jnl`	HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. CoRR Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
2024	J	`jnl`	HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation. CoRR Pawel Batorski, Dawid Malarz, Marcin Przewiezlikowski, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek
2024	J	`jnl`	ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting. CoRR Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek
2024	J	`jnl`	Make Interval Bound Propagation great again. CoRR Patryk Krukowski, Daniel Wilczak, Jacek Tabor, Anna Bielawska, Przemyslaw Spurek
2024	J	`jnl`	MiraGe: Editable 2D Images using Gaussian Splatting. CoRR Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Konrad Tadeja, Thomas Bohné, Przemyslaw Spurek
2024	—	`conf`	Modeling 3D Surfaces with a Locally Conditioned Atlas. ICCS (2) Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur
2024	—	`conf`	NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. ICCS (1) Wojciech Zajac, Joanna Waczynska, Piotr Borycki, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2024	J	`jnl`	NegGS: Negative Gaussian Splatting. CoRR Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek
2024	J	`jnl`	Neural Surface Priors for Editable Gaussian Splatting. CoRR Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz, Weronika Smolak-Dyzewska, Maciej Zieba, Przemyslaw Musialski, Wojtek Palubicki, Przemyslaw Spurek
2024	J	`jnl`	PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy. CoRR Joanna Kaleta, Weronika Smolak-Dyzewska, Dawid Malarz, Diego Dall'Alba, Przemyslaw Korzeniowski, Przemyslaw Spurek
2024	J	`jnl`	Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. Pattern Recognit. Lett. Dominik Zimny, Joanna Waczynska, Tomasz Trzcinski, Przemyslaw Spurek
2024	—	`conf`	RegFlow: Probabilistic Flow-Based Regression for Future Prediction. ACIIDS (Companion 2) Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2024	J	`jnl`	VeGaS: Video Gaussian Splatting. CoRR Weronika Smolak-Dyzewska, Dawid Malarz, Kornel Howil, Jan Kaczmarczyk, Marcin Mazur, Przemyslaw Spurek
2023	A	`conf`	Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
2023	J	`jnl`	Face Identity-Aware Disentanglement in StyleGAN. CoRR Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
2023	J	`jnl`	Gaussian Splatting with NeRF-based Color and Opacity. CoRR Dawid Malarz, Weronika Smolak, Jacek Tabor, Slawomir Konrad Tadeja, Przemyslaw Spurek
2023	J	`jnl`	Gaussian model for closed curves. CoRR Krzysztof Byrski, Przemyslaw Spurek, Jacek Tabor
2023	J	`jnl`	HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population. IEEE Trans. Games Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
2023	J	`jnl`	HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning. CoRR Kamil Ksiazek, Przemyslaw Spurek
2023	J	`jnl`	HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN. CoRR Adam Kania, Artur Kasymov, Maciej Zieba, Przemyslaw Spurek
2023	A	`conf`	HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2023	—	`conf`	Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
2023	J	`jnl`	Hypernetworks build Implicit Neural Representations of Sounds. CoRR Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
2023	J	`jnl`	MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor
2023	J	`jnl`	MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation. CoRR Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2023	J	`jnl`	NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering. CoRR Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2023	J	`jnl`	The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2022	B	`conf`	Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. ICIP Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak
2022	J	`jnl`	Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
2022	A*	`conf`	Continual Learning with Guarantees via Weight Interval Constraints. ICML Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2022	J	`jnl`	Continual Learning with Guarantees via Weight Interval Constraints. CoRR Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2022	J	`jnl`	General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
2022	J	`jnl`	Generative models with kernel distance in data space. Neurocomputing Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak
2022	J	`jnl`	HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. CoRR Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2022	A	`conf`	HyperPocket: Generative Point Cloud Completion. IROS Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2022	J	`jnl`	HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2022	J	`jnl`	HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. CoRR Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
2022	J	`jnl`	Hypernetwork approach to Bayesian MAML. CoRR Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek
2022	A*	`conf`	LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. ICML Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski
2022	J	`jnl`	LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. CoRR Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski
2022	J	`jnl`	LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor
2022	—	`conf`	Nonlinear Weighted Independent Component Analysis. IPMU (2) Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
2022	J	`jnl`	OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2022	J	`jnl`	Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. CoRR Dominik Zimny, Tomasz Trzcinski, Przemyslaw Spurek
2022	J	`jnl`	Target layer regularization for continual learning using Cramer-Wold distance. Inf. Sci. Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek
2021	B	`conf`	Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
2021	—	`conf`	Continual Learning of 3D Point Cloud Generators. ICONIP (1) Michal Sadowski, Karol J. Piczak, Przemyslaw Spurek, Tomasz Trzcinski
2021	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. CoRR Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2021	J	`jnl`	End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski
2021	J	`jnl`	Flow-based SVDD for anomaly detection. CoRR Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
2021	J	`jnl`	HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. CoRR Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
2021	J	`jnl`	HyperCube: Implicit Field Representations of Voxelized 3D Models. CoRR Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
2021	J	`jnl`	HyperPocket: Generative Point Cloud Completion. CoRR Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2021	—	`conf`	Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) Marcin Sendera, Lukasz Struski, Przemyslaw Spurek
2021	J	`jnl`	Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. CoRR Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania
2021	A*	`conf`	Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	Target Layer Regularization for Continual Learning Using Cramer-Wold Generator. CoRR Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek
2020	J	`jnl`	Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
2020	J	`jnl`	Cramer-Wold Auto-Encoder. J. Mach. Learn. Res. Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
2020	B	`conf`	Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
2020	J	`jnl`	Flow-based anomaly detection. CoRR Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2020	J	`jnl`	Generative models with kernel distance in data space. CoRR Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak
2020	J	`jnl`	HyperFlow: Representing 3D Objects as Surfaces. CoRR Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
2020	A*	`conf`	Hypernetwork approach to generating point clouds. ICML Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
2020	J	`jnl`	Hypernetwork approach to generating point clouds. CoRR Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
2020	J	`jnl`	LocoGAN - Locally Convolutional GAN. CoRR Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek
2020	—	`conf`	Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2020	—	`conf`	Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
2020	J	`jnl`	Processing of incomplete images by (graph) convolutional neural networks. CoRR Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
2020	J	`jnl`	RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2020	—	`conf`	Spatial Graph Convolutional Networks. ICONIP (5) Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
2020	J	`jnl`	WICA: nonlinear weighted ICA. CoRR Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
2019	J	`jnl`	Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. CoRR Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
2019	J	`jnl`	Geometric Graph Convolutional Neural Networks. CoRR Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
2019	J	`jnl`	Independent Component Analysis based on multiple data-weighting. CoRR Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor
2019	J	`jnl`	Non-linear ICA based on Cramer-Wold metric. CoRR Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2019	J	`jnl`	One-element Batch Training by Moving Window. CoRR Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik
2019	J	`jnl`	Online updating of active function cross-entropy clustering. Pattern Anal. Appl. Przemyslaw Spurek, Krzysztof Byrski, Jacek Tabor
2019	J	`jnl`	Projected memory clustering. Pattern Recognit. Lett. Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja
2019	J	`jnl`	SVM with a neutral class. Pattern Anal. Appl. Marek Smieja, Jacek Tabor, Przemyslaw Spurek
2019	—	`conf`	Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
2019	J	`jnl`	Sliced generative models. CoRR Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek
2018	J	`jnl`	Cramer-Wold AutoEncoder. CoRR Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
2018	J	`jnl`	Deep processing of structured data. CoRR Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
2018	J	`jnl`	Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja
2018	J	`jnl`	Lossy compression approach to subspace clustering. Inf. Sci. Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2018	A*	`conf`	Processing of missing data by neural networks. NeurIPS Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
2018	J	`jnl`	Processing of missing data by neural networks. CoRR Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
2017	J	`jnl`	Active function Cross-Entropy Clustering. Expert Syst. Appl. Przemyslaw Spurek, Jacek Tabor, Krzysztof Byrski
2017	J	`jnl`	General split gaussian Cross-Entropy clustering. Expert Syst. Appl. Przemyslaw Spurek
2017	J	`jnl`	ICA based on asymmetry. Pattern Recognit. Przemyslaw Spurek, Jacek Tabor, Przemyslaw Rola, M. Ociepka
2017	J	`jnl`	R Package CEC. Neurocomputing Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja
2017	—	`conf`	Split-and-merge Tweak in Cross Entropy Clustering. CISIM Krzysztof Hajto, Konrad Kamieniecki, Krzysztof Misztal, Przemyslaw Spurek
2016	B	`conf`	Clustering of Gaussian distributions. IJCNN Przemyslaw Spurek, Wieslaw Palka
2015	—	`conf`	Cross-Entropy Clustering Approach to One-Class Classification. ICAISC (1) Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor
2015	—	`conf`	Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation. CORES Arkadiusz Tomczyk, Przemyslaw Spurek, Michal Podgórski, Krzysztof Misztal, Jacek Tabor
2015	J	`jnl`	Introduction to Cross-Entropy Clustering The R Package CEC. CoRR Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal
2014	—	`conf`	A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves. CISIM Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac
2014	J	`jnl`	Cross-entropy clustering. Pattern Recognit. Jacek Tabor, Przemyslaw Spurek
2014	—	`conf`	Subspaces Clustering Approach to Lossy Image Compression. CISIM Przemyslaw Spurek, Marek Smieja, Krzysztof Misztal
2013	J	`jnl`	A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves. CoRR Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac
2013	—	`conf`	Detection of Disk-Like Particles in Electron Microscopy Images. CORES Przemyslaw Spurek, Jacek Tabor, Elzbieta Zajac
2013	J	`jnl`	The memory center. Inf. Sci. Przemyslaw Spurek, Jacek Tabor
2013	—	`conf`	Weighted Approach to Projective Clustering. CISIM Przemyslaw Spurek, Jacek Tabor, Krzysztof Misztal
2012	J	`jnl`	Cross-Entropy Clustering CoRR Przemyslaw Spurek, Jacek Tabor
2012	J	`jnl`	The memory centre CoRR Przemyslaw Spurek, Jacek Tabor
2011	J	`jnl`	k-means Approach to the Karhunen-Loeve Transform CoRR Krzysztof Misztal, Przemyslaw Spurek, Jacek Tabor