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English(EN) All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates

新的 R 包 "duqling" 可实现 AI 模拟器的可复现比较

一篇新发表在 arXiv 上的研究论文介绍了一个名为 "duqling" 的 R 包,该包旨在标准化和复现代理建模方法的比较。该研究对 29 种不同的模拟器在 60 个测试函数和 40 个真实世界数据集上进行了大规模评估。研究结果为各种最先进模拟器的优缺点提供了实证见解,为开发人员和实践者选择合适的代理模型提供了指导。 AI

影响 标准化模拟方法比较,可能加速研究并改进实践者对代理模型的选择。

排序理由 该集群包含一篇学术论文,详细介绍了一个用于计算科学可复现研究的新软件包。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的 R 包 "duqling" 可实现 AI 模拟器的可复现比较

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该集群包含一篇学术论文,详细介绍了一个用于计算科学可复现研究的新软件包。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Kellin N. Rumsey, Graham C. Gibson, Devin Francom, Reid Morris ·

    所有模拟器都是错误的,许多是有用的,有些比其他更有用:计算机模型替代物的可复现比较

    arXiv:2512.09060v3 Announce Type: replace-cross Abstract: Accurate and efficient surrogate modeling is essential for modern computational science, and there are a staggering number of emulation methods to choose from. With new methods being developed all the time, comparing the r…