Mateusz Gabor

13 papers A* 1B 2C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reduced storage direct tensor ring decomposition for convolutional neural networks compression.
Neural Networks
Mateusz Gabor, Rafal Zdunek
2024 J jnl
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction.
IEEE Trans. Ind. Informatics
Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
2024 J jnl
Fixed points of nonnegative neural networks.
J. Mach. Learn. Res.
Tomasz Piotrowski, Renato L. G. Cavalcante, Mateusz Gabor
2024 A* conf
Positive Concave Deep Equilibrium Models.
ICML
Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante
2024 J jnl
Positive concave deep equilibrium models.
CoRR
Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante
2024 J jnl
Reduced storage direct tensor ring decomposition for convolutional neural networks compression.
CoRR
Mateusz Gabor, Rafal Zdunek
2023 J jnl
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition.
Appl. Soft Comput.
Mateusz Gabor, Rafal Zdunek
2023 C conf
Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector.
IECON
Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
2022 — conf
Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination.
ICCS (3)
Mateusz Gabor, Rafal Zdunek
2022 B conf
Nested compression of convolutional neural networks with Tucker-2 decomposition.
IJCNN
Rafal Zdunek, Mateusz Gabor
2020 B conf
Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs.
AIME
Olgierd Unold, Mateusz Gabor, Witold Dyrka
2020 — conf
Unsupervised Statistical Learning of Context-free Grammar.
ICAART (1)
Olgierd Unold, Mateusz Gabor, Wojciech Wieczorek
2019 — conf
How Implicit Negative Evidence Improve Weighted Context-Free Grammar Induction.
ICAISC (2)
Olgierd Unold, Mateusz Gabor