Jacek Tabor - RankMe

229 papers A* 17A 15B 8Misc 1Journal 158Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive contrastive hierarchical clustering with nodes visualization. Artif. Intell. Rev. Mateusz Pach, Przemyslaw Rola, Michal Znalezniak, Patryk Kaszuba, Marcin Przewiezlikowski, Jacek Tabor, Marek Smieja
2026	J	`jnl`	DAVE: Distribution-aware Attribution via ViT Gradient Decomposition. CoRR Adam Wróbel, Siddhartha Gairola, Jacek Tabor, Bernt Schiele, Bartosz Zielinski, Dawid Rymarczyk
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`	FeNeC: Enhancing continual learning via feature clustering with neighbor- or logit-based classification. Knowl. Based Syst. Kamil Ksiazek, Hubert Jastrzebski, Krzysztof Pniaczek, Bartosz Trojan, Michal Karp, Jacek Tabor
2026	J	`jnl`	Optimising network efficiency in an epidemic scenario. Soc. Netw. Anal. Min. Magdalena Proszewska, Michal Bujak, Rafal Kucharski, Jacek Tabor, Marek Smieja
2025	—	`conf`	A Deeper Look into the Limitations of Early-Exit Architectures for Single and Multi-label Classification. ICCS (1) Klaudia Balazy, Julian J. McAuley, Jacek Tabor
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	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`	Diverse and feasible retrosynthesis using GFlowNets. Inf. Sci. Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
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	J	`jnl`	FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification. CoRR Kamil Ksiazek, Hubert Jastrzebski, Bartosz Trojan, Krzysztof Pniaczek, Michal Karp, Jacek Tabor
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`	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	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`	InTAct: Interval-based Task Activation Consolidation for Continual Learning. CoRR Patryk Krukowski, Jan Miksa, Piotr Helm, Jacek Tabor, Pawel Wawrzynski, Przemyslaw Spurek
2025	A*	`conf`	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. ICML Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor
2025	J	`jnl`	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. CoRR Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor
2025	A	`conf`	LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters. ECAI Klaudia Balazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor
2025	A*	`conf`	LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. ICLR Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Michal Zielinski, Dawid Damian Rymarczyk
2025	—	`conf`	Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA. EMNLP (Findings) Patryk Marszalek, Klaudia Balazy, Jacek Tabor, Tomasz Kusmierczyk
2025	J	`jnl`	Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA. CoRR Patryk Marszalek, Klaudia Balazy, Jacek Tabor, Tomasz Kusmierczyk
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	A	`conf`	PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. ECAI Magdalena Tredowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Lukasz Struski
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	A*	`conf`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. ICML Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk
2025	J	`jnl`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. CoRR Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk
2025	J	`jnl`	SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence. CoRR Viktar Dubovik, Lukasz Struski, Jacek Tabor, Dawid Rymarczyk
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
2025	A	`conf`	VisTabNet: Adapting Vision Transformers for Tabular Data. SDM Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja
2025	J	`jnl`	VisTabNet: Adapting Vision Transformers for Tabular Data. CoRR Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja
2025	J	`jnl`	ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data. CoRR Patryk Marszalek, Tomasz Kusmierczyk, Witold Wydmanski, Jacek Tabor, Marek Smieja
2024	J	`jnl`	Augmentation-aware self-supervised learning with conditioned projector. Knowl. Based Syst. Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
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`	Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Trans. Neural Networks Learn. Syst. Lukasz Struski, Michal Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
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`	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	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`	InfoDisent: Explainability of Image Classification Models by Information Disentanglement. CoRR Lukasz Struski, Jacek Tabor
2024	A*	`conf`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters. CoRR Klaudia Balazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor
2024	J	`jnl`	LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	Make Interval Bound Propagation great again. CoRR Patryk Krukowski, Daniel Wilczak, Jacek Tabor, Anna Bielawska, Przemyslaw Spurek
2024	J	`jnl`	Multiple instance learning for medical image classification based on instance importance. Biomed. Signal Process. Control. Lukasz Struski, Szymon Janusz, Jacek Tabor, Michal Markiewicz, Arkadiusz Lewicki
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`	PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. CoRR Magdalena Tredowicz, Lukasz Struski, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor
2024	J	`jnl`	ProPML: Probability Partial Multi-label Learning. CoRR Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
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`	Relative molecule self-attention transformer. J. Cheminformatics Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2024	J	`jnl`	RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2024	J	`jnl`	Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization. CoRR Aleksandra Irena Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor
2024	A*	`conf`	Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization. ICML Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor
2024	—	`conf`	StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. PAKDD (2) Andrzej Bedychaj, Jacek Tabor, Marek Smieja
2024	J	`jnl`	StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN. CoRR Andrzej Bedychaj, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Augmentation-aware Self-supervised Learning with Guided Projector. CoRR Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
2023	A	`conf`	Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
2023	—	`conf`	ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023	J	`jnl`	ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023	—	`conf`	Contrastive Hierarchical Clustering. ECML/PKDD (1) Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Contrastive Hierarchical Clustering. CoRR Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Face Identity-Aware Disentanglement in StyleGAN. CoRR Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
2023	A*	`conf`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. NeurIPS Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	J	`jnl`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
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	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`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
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	A	`conf`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	B	`conf`	ProPML: Probability Partial Multi-label Learning. DSAA Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	—	`conf`	Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. EACL (Findings) Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
2023	J	`jnl`	Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. CoRR Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
2023	A	`conf`	SONGs: Self-Organizing Neural Graphs. WACV Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
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
2023	J	`jnl`	Zero time waste in pre-trained early exit neural networks. Neural Networks Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2023	—	`conf`	r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
2023	J	`jnl`	r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
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	—	`conf`	Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
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	A	`conf`	MisConv: Convolutional Neural Networks for Missing Data. WACV Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, 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`	ProPaLL: Probabilistic Partial Label Learning. CoRR Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2022	J	`jnl`	SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier. CoRR Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
2022	J	`jnl`	SLOVA: Uncertainty estimation using single label one-vs-all classifier. Appl. Soft Comput. Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
2022	—	`conf`	Weakly-Supervised Cell Classification for Effective High Content Screening. ICCS (1) Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zielinski
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	B	`conf`	Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. IJCNN Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka
2021	J	`jnl`	Convex hull of a fuzzy set and triangular norms. Fuzzy Sets Syst. Jakub Bielawski, Jacek Tabor
2021	—	`conf`	Direction is what you need: Improving Word Embedding Compression in Large Language Models. RepL4NLP@ACL-IJCNLP Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer
2021	J	`jnl`	Direction is what you need: Improving Word Embedding Compression in Large Language Models. CoRR Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer
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`	HyperPocket: Generative Point Cloud Completion. CoRR Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2021	J	`jnl`	Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2021	A	`conf`	Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	MisConv: Convolutional Neural Networks for Missing Data. CoRR Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
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	A*	`conf`	ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	Relative Molecule Self-Attention Transformer. CoRR Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2021	J	`jnl`	SONG: Self-Organizing Neural Graphs. CoRR Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
2021	A*	`conf`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2021	J	`jnl`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
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	J	`jnl`	Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening. J. Chem. Inf. Model. Stanislaw Jastrzebski, Maciej Szymczak, Agnieszka Pocha, Stefan Mordalski, Jacek Tabor, Andrzej J. Bojarski, Sabina Podlewska
2020	B	`conf`	Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
2020	—	`conf`	Finding the Optimal Network Depth in Classification Tasks. ECML/PKDD (3) Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
2020	J	`jnl`	Finding the Optimal Network Depth in Classification Tasks. CoRR Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, 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`	Kernel Self-Attention in Deep Multiple Instance Learning. CoRR Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski
2020	J	`jnl`	LocoGAN - Locally Convolutional GAN. CoRR Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek
2020	J	`jnl`	Molecule Attention Transformer. CoRR Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski
2020	—	`conf`	Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2020	J	`jnl`	Pointed Subspace Approach to Incomplete Data. J. Classif. Lukasz Struski, Marek Smieja, Jacek Tabor
2020	J	`jnl`	ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
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	A*	`conf`	The Break-Even Point on Optimization Trajectories of Deep Neural Networks. ICLR Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	The Break-Even Point on Optimization Trajectories of Deep Neural Networks. CoRR Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	WICA: nonlinear weighted ICA. CoRR Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
2019	J	`jnl`	Biologically-Inspired Spatial Neural Networks. CoRR Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke
2019	J	`jnl`	Development of New Methods Needs Proper Evaluation - Benchmarking Sets for Machine Learning Experiments for Class A GPCRs. J. Chem. Inf. Model. Damian Lesniak, Sabina Podlewska, Stanislaw Jastrzebski, Igor Sieradzki, Andrzej J. Bojarski, Jacek Tabor
2019	A	`conf`	Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. AISTATS Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak
2019	J	`jnl`	Efficient mixture model for clustering of sparse high dimensional binary data. Data Min. Knowl. Discov. Marek Smieja, Krzysztof Hajto, 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`	Generalized RBF kernel for incomplete data. Knowl. Based Syst. Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec
2019	J	`jnl`	Geometric Graph Convolutional Neural Networks. CoRR Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
2019	—	`conf`	Hypernetwork Functional Image Representation. ICANN (Workshop) Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja
2019	J	`jnl`	Independent Component Analysis based on multiple data-weighting. CoRR Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor
2019	J	`jnl`	Interpolation in generative models. CoRR Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
2019	J	`jnl`	LOSSGRAD: automatic learning rate in gradient descent. CoRR Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor
2019	J	`jnl`	Multi-task hypernetworks. CoRR Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak
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	J	`jnl`	SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
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`	Cascade context encoder for improved inpainting. CoRR Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor
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`	Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. CoRR Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak
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
2018	J	`jnl`	Semi-supervised discriminative clustering with graph regularization. Knowl. Based Syst. Marek Smieja, Oleksandr Myronov, Jacek Tabor
2017	J	`jnl`	Active function Cross-Entropy Clustering. Expert Syst. Appl. Przemyslaw Spurek, Jacek Tabor, Krzysztof Byrski
2017	J	`jnl`	Efficient mixture model for clustering of sparse high dimensional binary data. CoRR Marek Smieja, Krzysztof Hajto, Jacek Tabor
2017	J	`jnl`	Extreme entropy machines: robust information theoretic classification. Pattern Anal. Appl. Wojciech Marian Czarnecki, Jacek Tabor
2017	J	`jnl`	ICA based on asymmetry. Pattern Recognit. Przemyslaw Spurek, Jacek Tabor, Przemyslaw Rola, M. Ociepka
2017	J	`jnl`	Pointed subspace approach to incomplete data. CoRR Lukasz Struski, Marek Smieja, Jacek Tabor
2017	J	`jnl`	R Package CEC. Neurocomputing Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja
2017	J	`jnl`	Semi-supervised model-based clustering with controlled clusters leakage. CoRR Marek Smieja, Lukasz Struski, Jacek Tabor
2017	J	`jnl`	Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. Marek Smieja, Lukasz Struski, Jacek Tabor
2017	J	`jnl`	Spherical Wards clustering and generalized Voronoi diagrams. CoRR Marek Smieja, Jacek Tabor
2016	J	`jnl`	Ellipticity and Circularity Measuring via Kullback-Leibler Divergence. J. Math. Imaging Vis. Krzysztof Misztal, Jacek Tabor
2016	B	`conf`	Fast Entropy Clustering of sparse high dimensional binary data. IJCNN Marek Smieja, Szymon Nakoneczny, Jacek Tabor
2016	J	`jnl`	Incomplete data representation for SVM classification. CoRR Lukasz Struski, Marek Smieja, Jacek Tabor
2016	—	`conf`	Optimal Ellipse Based Algorithm as an Approximate and Robust Solution of Minimum Volume Covering Ellipse Problem. CISIM Krzysztof Misztal, Jacek Tabor, Jakub Hyla
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`	Entropy Approximation in Lossy Source Coding Problem. Entropy Marek Smieja, Jacek Tabor
2015	J	`jnl`	Extreme Entropy Machines: Robust information theoretic classification. CoRR Wojciech Marian Czarnecki, 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
2015	—	`conf`	Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation. ECML/PKDD (1) Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor
2015	J	`jnl`	Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation. CoRR Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor
2015	J	`jnl`	Multithreshold Entropy Linear Classifier: Theory and applications. Expert Syst. Appl. Wojciech Marian Czarnecki, Jacek Tabor
2015	—	`conf`	Online Extreme Entropy Machines for Streams Classification and Active Learning. CORES Wojciech Marian Czarnecki, Jacek Tabor
2015	B	`conf`	Spherical wards clustering and generalized Voronoi diagrams. DSAA Marek Smieja, Jacek Tabor
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`	Cluster based RBF Kernel for Support Vector Machines. CoRR Wojciech Marian Czarnecki, Jacek Tabor
2014	J	`jnl`	Cross-entropy clustering. Pattern Recognit. Jacek Tabor, Przemyslaw Spurek
2014	J	`jnl`	Multithreshold Entropy Linear Classifier. CoRR Wojciech Marian Czarnecki, Jacek Tabor
2014	J	`jnl`	Two ellipsoid Support Vector Machines. Expert Syst. Appl. Wojciech Marian Czarnecki, Jacek Tabor
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	Misc	`conf`	Detection of Elliptical Shapes via Cross-Entropy Clustering. IbPRIA Jacek Tabor, Krzysztof Misztal
2013	—	`conf`	Image Segmentation with Use of Cross-Entropy Clustering. CORES Marek Smieja, Jacek Tabor
2013	—	`conf`	Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing. CISIM Krzysztof Misztal, Jacek Tabor
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	—	`conf`	A New Algorithm for Rotation Detection in Iris Pattern Recognition. CISIM Krzysztof Misztal, Jacek Tabor, Khalid Saeed
2012	J	`jnl`	A t-norm embedding theorem for fuzzy sets. Fuzzy Sets Syst. Jakub Bielawski, Jacek Tabor
2012	J	`jnl`	Cross-Entropy Clustering CoRR Przemyslaw Spurek, Jacek Tabor
2012	J	`jnl`	Detection of elliptical shapes via cross-entropy clustering CoRR Jacek Tabor, Krzysztof Misztal
2012	J	`jnl`	Entropy of the Mixture of Sources and Entropy Dimension. IEEE Trans. Inf. Theory Marek Smieja, Jacek Tabor
2012	J	`jnl`	Partition Reduction for Lossy Data Compression Problem CoRR Marek Smieja, Jacek Tabor
2012	J	`jnl`	Strict localization of eigenvectors and eigenvalues CoRR Lukasz Struski, Jacek Tabor
2012	J	`jnl`	The memory centre CoRR Przemyslaw Spurek, Jacek Tabor
2012	J	`jnl`	Weighted Approach to Rényi Entropy CoRR Marek Smieja, Jacek Tabor
2011	J	`jnl`	Entropy of the Mixture of Sources and Entropy Dimension CoRR Marek Smieja, Jacek Tabor
2011	J	`jnl`	k-means Approach to the Karhunen-Loeve Transform CoRR Krzysztof Misztal, Przemyslaw Spurek, Jacek Tabor
2002	J	`jnl`	Applications of Inverse Limits to Extensions of Operators and Approximation of Lipschitz Functions. J. Approx. Theory Jacek Tabor, David T. Yost