Information-Theoretic Scaling Laws for Generative Diffusion Training
This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2610.33337v1 Announce Type: new Abstract: Diffusion models trained on increasingly large datasets sampled from the same data distribution will converge to the same learned distribution. However, in practice, a model trained on finite data depends on the particular training dataset; this depen…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-27 04:00 · arXiv cs.LG
Information-Theoretic Scaling Laws for Generative Diffusion Training