Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization

Rai, Shubham; Neto, Walter Lau; Miyasaka, Yukio; Zhang, Xinpei; Yu, Min; Fujita, Qingyang Yi Masahiro; Manske, Guilherme B.; Pontes, Matheus F.; Junior, Leomar S. da Rosa; Aguiar, Marilton Sanchotene de; Butzen, Paulo F.; Chien, Po-Chun; Huang, Yué; Wang, Hoa-Ren; Jiang, Jie-Hong R.; Gu, Jiaqi; Zhang, Zheng; Jiang, Zixuan; Pan, David Z.; Abreu, Brunno; Campos, Isac de Souza; Berndt, Augusto; Meinhardt, Cristina; Carvalho, Jônata Tyska; Grellert, Mateus; Bampi, Sérgio; Lohana, Aditya; Kumar, Akash; Zeng, Wei; Davoodi, Azadeh; Topaloglu, Rasit Onur; Zhou, Yuan; Dotzel, Jordan; Zhang, Yichi; Wang, Hanyu; Zhang, Zhiru; Tenace, Valerio; Gaillardon, Pierre-Emmanuel; Mishchenko, Alan; Chatterjee, Saurav

doi:10.48550/arxiv.2012.02530

2020

DOI: 10.48550/arxiv.2012.02530

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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization

Shubham Rai¹,

Walter Lau Neto²,

Yukio Miyasaka³

et al.

Abstract: The alphabetic characters in the superscript represent the affiliations while the digits represent the team numbers † Equal contribution.

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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization

Abstract: The alphabetic characters in the superscript represent the affiliations while the digits represent the team numbers † Equal contribution.

Cited by 0 publications

References 7 publications

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