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English(EN) Evolutionary One-Step Generators: Fast and Diverse Sampling for Discrete Design

EGO框架以50倍的速度生成多样化的离散设计

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了EGO（Evolutionary Generators with One-step inference，带单步推理的进化生成器）框架，用于高效生成多样化且有效的离散设计。该方法训练紧凑的生成器，可在一次神经网络评估中产生完整输出，在分子发现和神经架构搜索任务中表现优于现有的单步基线。EGO的速度和多样性有望为各种设计挑战实现实时候选生成。 AI

影响 这项研究通过实现更快、更多样化的候选生成，有可能加速分子设计和架构搜索等领域的发现。

排序理由 该集群包含一篇详细介绍离散设计生成新方法的学术论文。

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

EGO框架以50倍的速度生成多样化的离散设计

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Marcus Vukojevic, Erik Nielsen, Veronica Lachi, Andrea Passerini, Giovanni Iacca ·

    进化式单步生成器：离散设计的快速多样化采样

    arXiv:2610.08367v1 Announce Type: new Abstract: Several discrete design tasks, such as molecular discovery, require diverse collections of useful candidates at low computational cost. High validity alone does not guarantee a useful candidate library: repeatedly generating the sam…

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Giovanni Iacca ·

    进化式单步生成器：离散设计的快速多样化采样

    Several discrete design tasks, such as molecular discovery, require diverse collections of useful candidates at low computational cost. High validity alone does not guarantee a useful candidate library: repeatedly generating the same valid structures leaves few distinct alternati…

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