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Przemysław Spurek
Przemysław Spurek
Jagiellonian University, IDEAS NCBR
Verified email at ii.uj.edu.pl
Title
Cited by
Cited by
Year
Deep learning approach to bacterial colony classification
B Zieliński, A Plichta, K Misztal, P Spurek, M Brzychczy-Włoch, ...
PloS one 12 (9), e0184554, 2017
1632017
Processing of missing data by neural networks
M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek
Advances in neural information processing systems 31, 2018
1462018
Spatial graph convolutional networks
T Danel, P Spurek, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka
International Conference on Neural Information Processing, 668-675, 2020
84*2020
Cross-entropy clustering
J Tabor, P Spurek
Pattern Recognition 47 (9), 3046-3059, 2014
752014
Cramer-wold autoencoder
S Knop, J Tabor, P Spurek, I Podolak, M Mazur, S Jastrzębski
Journal of Machine Learning Research 21 (164), 1-28, 2018
53*2018
Hypernetwork approach to generating point clouds
P Spurek, S Winczowski, J Tabor, M Zamorski, M Zięba, T Trzciński
International Conference on Machine Learning 119, 9099--9108, 2020
352020
Lidl: Local intrinsic dimension estimation using approximate likelihood
P Tempczyk, R Michaluk, L Garncarek, P Spurek, J Tabor, A Golinski
International Conference on Machine Learning, 21205-21231, 2022
192022
General hypernetwork framework for creating 3d point clouds
P Spurek, M Zieba, J Tabor, T Trzcinski
IEEE transactions on pattern analysis and machine intelligence 44 (12), 9995 …, 2021
18*2021
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
182018
General split gaussian cross–entropy clustering
P Spurek
Expert Systems with Applications 68, 58-68, 2017
182017
SVM with a neutral class
M Śmieja, J Tabor, P Spurek
Pattern Analysis and Applications 22, 573-582, 2019
172019
ICA based on asymmetry
P Spurek, J Tabor, P Rola, M Ociepka
Pattern Recognition 67, 230-244, 2017
172017
Active Function Cross-Entropy Clustering
P Spurek, J Tabor, K Byrski
Expert Systems with Applications 72, 49–66, 2017
172017
Hypershot: Few-shot learning by kernel hypernetworks
M Sendera, M Przewięźlikowski, K Karanowski, M Zięba, J Tabor, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023
152023
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
D Zimny, T Trzciński, P Spurek
arXiv preprint arXiv:2206.01290, 2022
152022
Fast Independent Component Analysis algorithm with a simple closed-form solution
P Spurek, J Tabor, Ł Struski, M Śmieja
Knowledge-Based Systems, 2018
152018
End-to-end sinkhorn autoencoder with noise generator
K Deja, J Dubiński, P Nowak, S Wenzel, P Spurek, T Trzcinski
IEEE Access 9, 7211-7219, 2020
142020
Hyperpocket: Generative point cloud completion
P Spurek, A Kasymov, M Mazur, D Janik, SK Tadeja, J Tabor, T Trzciński
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
132022
Hypermaml: Few-shot adaptation of deep models with hypernetworks
M Przewięźlikowski, P Przybysz, J Tabor, M Zięba, P Spurek
arXiv preprint arXiv:2205.15745, 2022
132022
Non-Gaussian Gaussian Processes for Few-Shot Regression
MZ Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj ...
Advances in Neural Information Processing Systems 34, 2021
132021
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