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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Carvalho, L., Costa, João L., José Mourão & Gonçalo Oliveira (2027). Wide neural networks: From non-Gaussian random fields at initialization to the NTK geometry of training. Journal of Mathematical Analysis and Applications, 566(1), 131123. https://doi.org/10.1016/j.jmaa.2026.131123
Exportar Referência (IEEE) 
L. C. Carvalho et al.,  "Wide neural networks: From non-Gaussian random fields at initialization to the NTK geometry of training", in Journal of Mathematical Analysis and Applications, vol. 566, no. 1, pp. 131123, 2027
Exportar BibTeX 
@article{carvalho2027_1792225214449,
	author = "Carvalho, L. and Costa, João L. and José Mourão and Gonçalo Oliveira",
	title = "Wide neural networks: From non-Gaussian random fields at initialization to the NTK geometry of training",
	journal = "Journal of Mathematical Analysis and Applications",
	year = "2027",
	volume = "566",
	number = "1",
	doi = "10.1016/j.jmaa.2026.131123",
	pages = "131123"
}
Exportar RIS 
TY  - JOUR
TI  - Wide neural networks: From non-Gaussian random fields at initialization to the NTK geometry of training
T2  - Journal of Mathematical Analysis and Applications
VL  - 566
IS  - 1
AU  - Carvalho, L.
AU  - Costa, João L.
AU  - José Mourão
AU  - Gonçalo Oliveira
PY  - 2027
SP  - 131123
SN  - 0022-247X
DO  - 10.1016/j.jmaa.2026.131123
ER  -