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cs.LG2026
An exact information theory of generalization phase transitions in Bayesian diffusion models
Henry Hunt, Mason Kamb, Surya Ganguli
How diffusion models circumvent the curse of dimensionality to learn complex distributions over high dimensional spaces from a finite training set, instead of memorizing it, remain…
stat.ML2026
There Will Be a Scientific Theory of Deep Learning
Jamie Simon, Daniel Kunin, Alexander Atanasov +11
In this paper, we make the case that a scientific theory of deep learning is emerging. By this we mean a theory which characterizes important properties and statistics of the train…