Mateusz Gabor

Orcid: 0000-0002-5397-0655

According to our database1, Mateusz Gabor authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction.
IEEE Trans. Ind. Informatics, February, 2024

Fixed points of nonnegative neural networks.
J. Mach. Learn. Res., 2024

Reduced storage direct tensor ring decomposition for convolutional neural networks compression.
CoRR, 2024

Positive Concave Deep Equilibrium Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition.
Appl. Soft Comput., 2023

Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
Nested compression of convolutional neural networks with Tucker-2 decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination.
Proceedings of the Computational Science - ICCS 2022, 2022

2020
Unsupervised Statistical Learning of Context-free Grammar.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
How Implicit Negative Evidence Improve Weighted Context-Free Grammar Induction.
Proceedings of the Artificial Intelligence and Soft Computing, 2019


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