Deep learning approach to bacterial colony classification B Zieliński, A Plichta, K Misztal, P Spurek, M Brzychczy-Włoch, ... PloS one 12 (9), e0184554, 2017 | 184 | 2017 |
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 | 155 | 2018 |
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 | 104* | 2020 |
Cross-entropy clustering J Tabor, P Spurek Pattern Recognition 47 (9), 3046-3059, 2014 | 75 | 2014 |
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 | 38 | 2020 |
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 | 22* | 2021 |
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 | 21 | 2023 |
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 | 21 | 2022 |
Lossy compression approach to subspace clustering Ł Struski, J Tabor, P Spurek Information Sciences 435, 161-183, 2018 | 18 | 2018 |
General split gaussian cross–entropy clustering P Spurek Expert Systems with Applications 68, 58-68, 2017 | 18 | 2017 |
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 | 17 | 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 | 17 | 2020 |
SVM with a neutral class M Śmieja, J Tabor, P Spurek Pattern Analysis and Applications 22, 573-582, 2019 | 17 | 2019 |
ICA based on asymmetry P Spurek, J Tabor, P Rola, M Ociepka Pattern Recognition 67, 230-244, 2017 | 17 | 2017 |
Active Function Cross-Entropy Clustering P Spurek, J Tabor, K Byrski Expert Systems with Applications 72, 49–66, 2017 | 17 | 2017 |
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud D Zimny, T Trzciński, P Spurek arXiv preprint arXiv:2206.01290, 2022 | 15 | 2022 |
Fast Independent Component Analysis algorithm with a simple closed-form solution P Spurek, J Tabor, Ł Struski, M Śmieja Knowledge-Based Systems, 2018 | 15 | 2018 |
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 | 14 | 2022 |
Hypermaml: Few-shot adaptation of deep models with hypernetworks M Przewięźlikowski, P Przybysz, J Tabor, M Zięba, P Spurek Neurocomputing 598, 128179, 2024 | 13 | 2024 |