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cs.LG2024
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications
Binxu Wang, John J. Vastola
By learning the gradient of smoothed data distributions, diffusion models can iteratively generate samples from complex distributions. The learned score function enables their gene…
cs.LG2024
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
Binxu Wang, Jiaqi Shang, Haim Sompolinsky
Humans excel at discovering regular structures from limited samples and applying inferred rules to novel settings. We investigate whether modern generative models can similarly lea…