English(EN) Mixed neural posterior estimation for simulators with discrete and continuous parameters

新方法增强了混合离散-连续模型的AI参数推断

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-13 13:57

研究人员开发了一种新的神经网络后验估计（NPE）方法，该方法可以处理具有混合离散和连续参数的模拟器。这种方法将通常假设连续参数的NPE扩展到同时处理这两种类型的科学模型。新的推断网络联合建模离散和连续参数，在各种模拟中实现了准确且校准良好的后验近似。 AI

影响为复杂模拟中的参数推断引入了一种新颖的技术，有可能提高科学研究中使用的模型的准确性和校准。

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arXiv cs.LG TIER_1 English(EN) · Daniel Gedon · 2026-05-13 13:57

用于具有离散和连续参数的模拟器的混合神经后验估计

Neural Posterior Estimation (NPE) enables rapid parameter inference for complex simulators with intractable likelihoods. NPE trains an inference network to estimate a probability density over parameters given data, typically assumed to be \emph{continuous}. However, many scientif…