Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design.
- DOI
- 10.1109/tcyb.2025.3649299
- Published
- 2026 May
- Container
- IEEE transactions on cybernetics
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2025.3649299,
title = {Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design.},
author = {Bouchaffra D and Ykhlef F and Faye B and Lebbah M and Azzag H},
year = {2026},
journal = {IEEE transactions on cybernetics},
doi = {10.1109/tcyb.2025.3649299},
url = {https://doi.org/10.1109/tcyb.2025.3649299}
}RIS
TY - JOUR TI - Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design. AU - Bouchaffra D AU - Ykhlef F AU - Faye B AU - Lebbah M AU - Azzag H PY - 2026 JO - IEEE transactions on cybernetics DO - 10.1109/tcyb.2025.3649299 UR - https://doi.org/10.1109/tcyb.2025.3649299 ER -
APA
D, B., F, Y., B, F., M, L., & H, A. (2026). Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design.. IEEE transactions on cybernetics. https://doi.org/10.1109/tcyb.2025.3649299
Source records
- pubmed · retrieved 2026-09-25T13:17:06.568Z