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pro vyhledávání: '"Khalafi, Shervin"'
Diffusion models have attained prominence for their ability to synthesize a probability distribution for a given dataset via a diffusion process, enabling the generation of new data points with high fidelity. However, diffusion processes are prone to
Externí odkaz:
http://arxiv.org/abs/2408.15094
Neural tangent kernels (NTKs) provide a theoretical regime to analyze the learning and generalization behavior of over-parametrized neural networks. For a supervised learning task, the association between the eigenvectors of the NTK kernel and given
Externí odkaz:
http://arxiv.org/abs/2310.10791