Covariance-Inverse Fusion: Toward Comprehensive Proxies for Zero-Shot Neural Architecture Search

Ning Wu, Han Huang, Li Kang, Yueting Xu, Fujian Feng, Chunguo Wu

Open source

DOI
10.1109/tcyb.2026.3719625
Published
2026-11
Container
IEEE Transactions on Cybernetics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tcyb.2026.3719625,
  title = {Covariance-Inverse Fusion: Toward Comprehensive Proxies for Zero-Shot Neural Architecture Search},
  author = {Ning Wu and Han Huang and Li Kang and Yueting Xu and Fujian Feng and Chunguo Wu},
  year = {2026},
  journal = {IEEE Transactions on Cybernetics},
  doi = {10.1109/tcyb.2026.3719625},
  url = {https://doi.org/10.1109/tcyb.2026.3719625}
}

RIS

TY  - JOUR
TI  - Covariance-Inverse Fusion: Toward Comprehensive Proxies for Zero-Shot Neural Architecture Search
AU  - Ning Wu
AU  - Han Huang
AU  - Li Kang
AU  - Yueting Xu
AU  - Fujian Feng
AU  - Chunguo Wu
PY  - 2026
JO  - IEEE Transactions on Cybernetics
DO  - 10.1109/tcyb.2026.3719625
UR  - https://doi.org/10.1109/tcyb.2026.3719625
ER  - 

APA

Wu, N., Huang, H., Kang, L., Xu, Y., Feng, F., & Wu, C. (2026). Covariance-Inverse Fusion: Toward Comprehensive Proxies for Zero-Shot Neural Architecture Search. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2026.3719625

Source records