{"id":"doi:10.1103/qtd6-nl8p","kind":"article","title":"Scaling laws and representation learning in simple hierarchical languages: Transformers versus convolutional architectures","authors":["Francesco Cagnetta","Alessandro Favero","Antonio Sclocchi","Matthieu Wyart"],"author_count":4,"year":2025,"published":"2025-10-31","venue":"Physical review. E","cited_by":3,"doi":"10.1103/qtd6-nl8p","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1103/qtd6-nl8p","archive_url":"https://space-kitty.com/papers/doi:10.1103/qtd6-nl8p","updated":null,"pmid":"41560244","pmcid":null,"openalex_id":"W4417267570","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Topic Modeling"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"scaling-laws","name":"Scaling Laws & Compute-Optimal Training","domain_slug":"ai"}],"cited_in_dossiers":[]}