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Przemysław Spurek
Przemysław Spurek
Jagiellonian University
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
1482017
Processing of missing data by neural networks
M ¦mieja, Ł Struski, J Tabor, B Zieliński, P Spurek
Advances in neural information processing systems 31, 2018
1322018
Cross-entropy clustering
J Tabor, P Spurek
Pattern Recognition 47 (9), 3046-3059, 2014
732014
Spatial graph convolutional networks
T Danel, P Spurek, J Tabor, M ¦mieja, Ł Struski, A Słowik, Ł Maziarka
International Conference on Neural Information Processing, 668-675, 2020
71*2020
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
50*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
282020
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
182018
Active Function Cross-Entropy Clustering
P Spurek, J Tabor, K Byrski
Expert Systems with Applications 72, 49–66, 2017
172017
General split gaussian cross–entropy clustering
P Spurek
Expert Systems with Applications 68, 58-68, 2017
172017
ICA based on asymmetry
P Spurek, J Tabor, P Rola, M Ociepka
Pattern Recognition 67, 230-244, 2017
162017
SVM with a neutral class
M ¦mieja, J Tabor, P Spurek
Pattern Analysis and Applications 22, 573-582, 2019
152019
Fast Independent Component Analysis algorithm with a simple closed-form solution
P Spurek, J Tabor, Ł Struski, M ¦mieja
Knowledge-Based Systems, 2018
152018
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
14*2021
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
122022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
D Zimny, T Trzciński, P Spurek
arXiv preprint arXiv:2206.01290, 2022
112022
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
112021
Cross-entropy based image thresholding
M Malik, P Spurek, J Tabor
Schedae Informaticae 24, 2015
112015
Adversarial examples detection and analysis with layer-wise autoencoders
B Wójcik, P Morawiecki, M ¦mieja, T Krzyżek, P Spurek, J Tabor
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
102021
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
92022
Hypermaml: Few-shot adaptation of deep models with hypernetworks
M Przewiezlikowski, P Przybysz, J Tabor, M Zieba, P Spurek
arXiv preprint arXiv:2205.15745 6 (7), 2022
92022
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