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Leveraging network motifs to improve artificial neural networks

Abstract As the scale of artificial neural networks continues to expand to tackle increasingly complex tasks or improve the prediction accuracy of specific tasks, the challenges associated with computational demand, hyper-parameter tuning, model interpretability, and deployment costs intensify. Addr...

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Autori principali: Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Pin-Yu Chen, Yue Shen, Narsis A. Kiani, Jesper N. Tegnér
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2025-12-01
Serie:Nature Communications
Accesso online:https://doi.org/10.1038/s41467-025-66533-x
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