Diffusion sampling error reduced via boundary cancellation: connecting diffusion models to quantum annealing through counterdiabatic driving, achieving T^(-2r-2) error bounds by vanishing endpoint derivatives of scheduling protocols.
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Didn't expect to miss people posting images of the food they were cooking 🙃
Nowadays, this "field" is dominated by horrible #AIslop food ads: https://www.theverge.com/ai-artificial-intelligence/989376/ai-generated-food-why-does-it-look-like-that
Certain tendencies of #DiffusionModels, model […]
