Towards a Science of AI: Scaling laws and synthetic data
Maissam Barkeshli - University of California, Santa Barbara
Cagnetta, F. (2026). From Data Statistics to Scaling Laws: Toward a Physics of Representation Learning. Perimeter Institute. https://pirsa.org/26050046
Cagnetta, Francesco. From Data Statistics to Scaling Laws: Toward a Physics of Representation Learning. Perimeter Institute, May. 04, 2026, https://pirsa.org/26050046
@misc{ pirsa_PIRSA:26050046,
doi = {10.48660/26050046},
url = {https://pirsa.org/26050046},
author = {Cagnetta, Francesco},
keywords = {Other},
language = {en},
title = {From Data Statistics to Scaling Laws: Toward a Physics of Representation Learning},
publisher = {Perimeter Institute},
year = {2026},
month = {may},
note = {PIRSA:26050046 see, \url{https://pirsa.org}}
}
Maissam Barkeshli - University of California, Santa Barbara
Maissam Barkeshli - University of California, Santa Barbara
Naren Manjunath
Cengiz Pehlevan - Harvard University
Blake Bordelon - Harvard University