Scaling laws and representation learning in simple hierarchical languages: Transformers versus convolutional architectures.

Cagnetta F, Favero A, Sclocchi A, Wyart M

DOI: 10.1103/qtd6-nl8p
Published: 2025 Dec
Container: Physical review. E
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1103/qtd6-nl8p,
  title = {Scaling laws and representation learning in simple hierarchical languages: Transformers versus convolutional architectures.},
  author = {Cagnetta F and Favero A and Sclocchi A and Wyart M},
  year = {2025},
  journal = {Physical review. E},
  doi = {10.1103/qtd6-nl8p},
  url = {https://doi.org/10.1103/qtd6-nl8p}
}

RIS

TY  - JOUR
TI  - Scaling laws and representation learning in simple hierarchical languages: Transformers versus convolutional architectures.
AU  - Cagnetta F
AU  - Favero A
AU  - Sclocchi A
AU  - Wyart M
PY  - 2025
JO  - Physical review. E
DO  - 10.1103/qtd6-nl8p
UR  - https://doi.org/10.1103/qtd6-nl8p
ER  -

APA

F, C., A, F., A, S., & M, W. (2025). Scaling laws and representation learning in simple hierarchical languages: Transformers versus convolutional architectures.. Physical review. E. https://doi.org/10.1103/qtd6-nl8p

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pubmed · retrieved 2026-09-25T21:59:14.821Z