The Rosette sampler is a type of computational tool used in statistical modeling and machine learning, particularly in the context of generative models. It is designed to facilitate efficient sampling from complex probability distributions. The term "Rosette" can refer to different tools or algorithms in various domains, but in this context, it generally relates to methods used for sampling from distributions that may not be easily tractable.
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