AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing

Research article (2023 60th ACM/IEEE Design Automation Conference (DAC), 2023) · cited 10× · AI/ML
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AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing

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AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing. Retrieved May 24, 2026, from https://4ort.xyz/entity/agd-a-learning-based-optimization-framework-for-eda-and-its-application-to-gate-sizing
MLA “AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agd-a-learning-based-optimization-framework-for-eda-and-its-application-to-gate-sizing.
BibTeX @misc{4ortxyz_agd-a-learning-based-optimization-framework-for-eda-and-its-application-to-gate-sizing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing}}, year = {2026}, url = {https://4ort.xyz/entity/agd-a-learning-based-optimization-framework-for-eda-and-its-application-to-gate-sizing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing — https://4ort.xyz/entity/agd-a-learning-based-optimization-framework-for-eda-and-its-application-to-gate-sizing (retrieved 2026-05-24)

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