How Implicit Negative Evidence Improve Weighted Context-Free Grammar Induction. - Olgierd Unold; Mateusz Gabor (ICAISC (2), 2019)

Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs. - Olgierd Unold; Mateusz Gabor; Witold Dyrka (AIME, 2020)

Unsupervised Statistical Learning of Context-free Grammar. - Olgierd Unold; Mateusz Gabor; Wojciech Wieczorek (ICAART (1), 2020)

Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination. - Mateusz Gabor; Rafal Zdunek (ICCS (3), 2022)

Nested compression of convolutional neural networks with Tucker-2 decomposition. - Rafal Zdunek; Mateusz Gabor (IJCNN, 2022)

Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. - Mateusz Gabor; Rafal Zdunek; Radoslaw Zimroz; Agnieszka Wylomanska (IECON, 2023)

Compressing convolutional neural networks with hierarchical Tucker-2 decomposition. - Mateusz Gabor; Rafal Zdunek (Appl. Soft Comput., 2023)

Positive Concave Deep Equilibrium Models. - Mateusz Gabor; Tomasz Piotrowski; Renato L. G. Cavalcante (ICML, 2024)

Reduced storage direct tensor ring decomposition for convolutional neural networks compression. - Mateusz Gabor; Rafal Zdunek (CoRR, 2024)

Fixed points of nonnegative neural networks. - Tomasz Piotrowski; Renato L. G. Cavalcante; Mateusz Gabor (J. Mach. Learn. Res., 2024)

Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. - Mateusz Gabor; Rafal Zdunek; Radoslaw Zimroz; Agnieszka Wylomanska (IEEE Trans. Ind. Informatics, 2024)