Neural Flow Diffusion Models (NFDM): A Novel Machine Learning Framework that Enhances Diffusion Models by Supporting a Broader Range of Forward Processes Beyond the Fixed Linear Gaussian

The probabilistic machine learning class, generative models, has many uses in different domains, including the visual and performing arts, the medical industry, and even physics. To generate new samples that are similar to the original data, generative models are very good at building probability distributions that appropriately describe datasets. These features are perfect for generating […]

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