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实体 Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models

Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models

PulseAugur coverage of Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models — every cluster mentioning Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_324938 ·

    新方法简化了条件流模型在病态问题上的训练

    一篇新论文提出了一种使用数据和条件联合分布最大似然代理来训练条件流模型的方法。该方法通过避免显式的条件分布或辅助网络的需求,简化了病态逆问题的训练过程。该方法已在生成类别条件图像和对退化图像进行超分辨率等任务上得到验证。