Hugo Latourelle-Vigeant

Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime

This work develops a generative counterpart to the theory of benign overfitting and algorithmic regularization for overparameterized neural networks in the supervised lazy-training regime by studying denoising score matching in a vector-valued reproducing kernel Hilbert space with an inner-product kernel.