Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression.

Liu W, Deng X, Shao H, Wang F, Jiang Y.

DOI: 10.1109/tnnls.2026.3744093
Published: 2026-11-04
Container: IEEE Trans Neural Netw Learn Syst
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2026.3744093,
  title = {Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression.},
  author = {Liu W and  Deng X and  Shao H and  Wang F and  Jiang Y.},
  year = {2026},
  journal = {IEEE Trans Neural Netw Learn Syst},
  doi = {10.1109/tnnls.2026.3744093},
  url = {https://doi.org/10.1109/tnnls.2026.3744093}
}

RIS

TY  - JOUR
TI  - Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression.
AU  - Liu W
AU  -  Deng X
AU  -  Shao H
AU  -  Wang F
AU  -  Jiang Y.
PY  - 2026
JO  - IEEE Trans Neural Netw Learn Syst
DO  - 10.1109/tnnls.2026.3744093
UR  - https://doi.org/10.1109/tnnls.2026.3744093
ER  -

APA

W, L., X, D., H, S., F, W., & Y., J. (2026). Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression.. IEEE Trans Neural Netw Learn Syst. https://doi.org/10.1109/tnnls.2026.3744093

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europe-pmc · retrieved 2026-11-10T11:45:45.995Z