Open access
Aug 2026
Why diffusion models do not memorize: the role of implicit dynamical regularization in training
It is found that τmem increases linearly with the training set size n, whereas τgen remains constant, which creates a growing window of training times with n where models generalize effectively, despite showing strong memorization if training continues beyond it.
Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.
· Journal of Statistical Mecha... · 2 citations