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Journal Articles
- 2024
[j3]Tomasz Piotrowski, Renato L. G. Cavalcante, Mateusz Gabor:
Fixed points of nonnegative neural networks. J. Mach. Learn. Res. 25: 139:1-139:40 (2024)- [j2]Mateusz Gabor
, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska:
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. IEEE Trans. Ind. Informatics 20(2): 2944-2955 (2024) - 2023
- [j1]Mateusz Gabor, Rafal Zdunek:
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition. Appl. Soft Comput. 132: 109856 (2023)
Conference and Workshop Papers
- 2024
- [c7]Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante:
Positive Concave Deep Equilibrium Models. ICML 2024 - 2023
- [c6]Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska:
Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. IECON 2023: 1-6 - 2022
- [c5]Mateusz Gabor, Rafal Zdunek:
Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination. ICCS (3) 2022: 654-667 - [c4]Rafal Zdunek, Mateusz Gabor:
Nested compression of convolutional neural networks with Tucker-2 decomposition. IJCNN 2022: 1-8 - 2020
- [c3]Olgierd Unold, Mateusz Gabor, Witold Dyrka:
Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs. AIME 2020: 299-309 - [c2]Olgierd Unold, Mateusz Gabor, Wojciech Wieczorek:
Unsupervised Statistical Learning of Context-free Grammar. ICAART (1) 2020: 431-438 - 2019
- [c1]Olgierd Unold, Mateusz Gabor:
How Implicit Negative Evidence Improve Weighted Context-Free Grammar Induction. ICAISC (2) 2019: 595-606
Informal and Other Publications
- 2024
- [i2]Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante:
Positive concave deep equilibrium models. CoRR abs/2402.04029 (2024) - [i1]Mateusz Gabor, Rafal Zdunek:
Reduced storage direct tensor ring decomposition for convolutional neural networks compression. CoRR abs/2405.10802 (2024)
Coauthor Index
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