| Molecule attention transformer Ł Maziarka, T Danel, S Mucha, K Rataj, J Tabor, S Jastrzębski arXiv preprint arXiv:2002.08264, 2020 | 146 | 2020 |
| 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 | 132 | 2018 |
| The break-even point on optimization trajectories of deep neural networks S Jastrzebski, M Szymczak, S Fort, D Arpit, J Tabor, K Cho, K Geras arXiv preprint arXiv:2002.09572, 2020 | 128 | 2020 |
| Hypernetwork functional image representation S Klocek, Ł Maziarka, M Wołczyk, J Tabor, J Nowak, M Śmieja International Conference on Artificial Neural Networks, 496-510, 2019 | 73 | 2019 |
| Cross-entropy clustering J Tabor, P Spurek Pattern Recognition 47 (9), 3046-3059, 2014 | 71 | 2014 |
| 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 | 70* | 2020 |
| Stability of the Cauchy functional equation in quasi-Banach spaces J Tabor Annales Polonici Mathematici 83, 243-255, 2004 | 61 | 2004 |
| On a linear iterative equation J Tabor, J Tabor Results in Mathematics 27, 412-421, 1995 | 57 | 1995 |
| Iterative functional equations in the class of Lipschitz functions M Kulczycki, J Tabor Aequationes Mathematicae 64 (1-2), 24-33, 2002 | 55 | 2002 |
| Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification D Rymarczyk, Ł Struski, J Tabor, B Zieliński Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 51 | 2021 |
| Cramer-wold auto-encoder S Knop, P Spurek, J Tabor, I Podolak, M Mazur, S Jastrzebski The Journal of Machine Learning Research 21 (1), 6594-6621, 2020 | 49* | 2020 |
| Takagi functions and approximate midconvexity J Tabor, J Tabor Journal of mathematical analysis and applications 356 (2), 729-737, 2009 | 44 | 2009 |
| Generalized approximate midconvexity J Tabor, J Tabor Control and Cybernetics 38 (3), 655-669, 2009 | 41 | 2009 |
| Kernel self-attention for weakly-supervised image classification using deep multiple instance learning D Rymarczyk, A Borowa, J Tabor, B Zielinski Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 38 | 2021 |
| Interpretable image classification with differentiable prototypes assignment D Rymarczyk, Ł Struski, M Górszczak, K Lewandowska, J Tabor, ... European Conference on Computer Vision, 351-368, 2022 | 37 | 2022 |
| Iterative equations in Banach spaces J Tabor, M Żołdak Journal of mathematical analysis and applications 299 (2), 651-662, 2004 | 37 | 2004 |
| General stability of functional equations of linear type J Tabor, J Tabor Journal of mathematical analysis and applications 328 (1), 192-200, 2007 | 35 | 2007 |
| Dynamical isometry is achieved in residual networks in a universal way for any activation function W Tarnowski, P Warchoł, S Jastrzȩbski, J Tabor, M Nowak The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 32 | 2019 |
| Lipschitz stability of the Cauchy and Jensen equations J Tabor Results in Mathematics 32, 133-144, 1997 | 30 | 1997 |
| Generalized RBF kernel for incomplete data M Śmieja, Ł Struski, J Tabor, M Marzec Knowledge-Based Systems 173, 150-162, 2019 | 29 | 2019 |
Przemysław SpurekJagiellonian UniversityVerified email at ii.uj.edu.pl
