Obserwuj
Przemysław Spurek
Przemysław Spurek
Jagiellonian University, IDEAS NCBR
Zweryfikowany adres z ii.uj.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep learning approach to bacterial colony classification
B Zieliński, A Plichta, K Misztal, P Spurek, M Brzychczy-Włoch, ...
PloS one 12 (9), e0184554, 2017
1922017
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
1622018
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
114*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
59*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
402020
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
292023
Games: Mesh-based adapting and modification of gaussian splatting
J Waczyńska, P Borycki, S Tadeja, J Tabor, P Spurek
arXiv preprint arXiv:2402.01459, 2024
252024
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
252022
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
23*2021
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
182020
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
182018
ICA based on asymmetry
P Spurek, J Tabor, P Rola, M Ociepka
Pattern Recognition 67, 230-244, 2017
182017
Active Function Cross-Entropy Clustering
P Spurek, J Tabor, K Byrski
Expert Systems with Applications 72, 49–66, 2017
182017
General split gaussian cross–entropy clustering
P Spurek
Expert Systems with Applications 68, 58-68, 2017
182017
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
172021
SVM with a neutral class
M Śmieja, J Tabor, P Spurek
Pattern Analysis and Applications 22, 573-582, 2019
172019
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
D Zimny, T Trzciński, P Spurek
arXiv preprint arXiv:2206.01290, 2022
162022
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
152022
Adversarial examples detection and analysis with layer-wise autoencoders
B Wójcik, P Morawiecki, M Śmieja, T Krzyżek, P Spurek, J Tabor
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
152021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20