基于贝叶斯优化的不可微心脏模拟器的变分推断
Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization
摘要：
在模拟器上执行推理通常是棘手的，因为它们的运行时间意味着我们无法计算边际可能性。我们开发了一种无似然推理方法来推断心脏模拟器的参数，该心脏模拟器复制通过心脏到体表的电流。我们改进了最先进的模拟器与真实患者记录的心电图（ECG）的拟合。
英文摘要：
Performing inference over simulators is generally intractable as their runtime means we cannot compute a marginal likelihood. We develop a likelihood-free inference method to infer parameters for a cardiac simulator, which replicates electrical flow through the heart to the body surface. We improve the fit of a state-of-the-art simulator to an electrocardiogram (ECG) recorded from a real patient.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
