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新编译器支持 Scheme 程序的微分解释

研究人员开发了一种新颖的编译器,可将 Scheme 编程语言的子集转换为可微分计算图。该系统支持可微分元循环解释(DMCI),允许计算由编译后的 Scheme 解释器执行的程序中嵌入的连续常数的梯度。该方法允许新程序在不重新编译的情况下继承可微分性,支持闭包和递归等功能。DMCI 已被证明在共同搜索程序和参数方面非常有效,可用于电池容量衰减预测和高维逆问题求解等任务,将符号回归扩展到可执行、有状态的程序。 AI

影响 能够直接针对数据优化生成的代码,可能加速神经符号 AI 的开发。

排序理由 该集群包含一篇学术论文,详细介绍了一种新的程序解释和优化方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

新编译器支持 Scheme 程序的微分解释

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该集群包含一篇学术论文,详细介绍了一种新的程序解释和优化方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Lucas Sheneman ·

    一次编译,处处可微分:可微分的元循环解释器

    arXiv:2606.09930v1 Announce Type: cross Abstract: The boundary between program execution and gradient-based optimization has long limited the use of code itself as a learnable scientific model. We present a compiler that translates a self-hosting subset of Scheme into differentia…