Data augmentation using diffusion models to enhance inverse Ising inference
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Identifying model parameters from observed configurations poses a fundamental challenge in data science, especially with limited data. Recently, diffusion models have emerged as a novel paradigm in generative machine learning, capable of producing new samples ... ...
