Breathing life into activation functions: the SWIn framework for sustained nonlinearity

Yu Ran, Li Zhang, Shi Yuan

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DOI: 10.1016/j.neunet.2026.109784
Published: 2027-02
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109784,
  title = {Breathing life into activation functions: the SWIn framework for sustained nonlinearity},
  author = {Yu Ran and Li Zhang and Shi Yuan},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109784},
  url = {https://doi.org/10.1016/j.neunet.2026.109784}
}

RIS

TY  - JOUR
TI  - Breathing life into activation functions: the SWIn framework for sustained nonlinearity
AU  - Yu Ran
AU  - Li Zhang
AU  - Shi Yuan
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109784
UR  - https://doi.org/10.1016/j.neunet.2026.109784
ER  -

APA

Ran, Y., Zhang, L., & Yuan, S. (2027). Breathing life into activation functions: the SWIn framework for sustained nonlinearity. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109784

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crossref · retrieved 2026-11-04T12:10:31.914Z