Machine Learning for CAD/EDA: The Road Ahead

Author:

Kahng Andrew B.1ORCID

Affiliation:

1. Computer Science and Engineering Department Electrical and Computer Engineering Department, University of California at San Diego, La Jolla, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Reference14 articles.

1. Reconciling modern machine learning practice and the bias-variance trade-off;belkin;arXiv 1812 11118,2018

2. Advancing Placement

3. Machine Learning for Electronic Design Automation: A Survey

4. MLCAD Today and Tomorrow: Learning, Optimization and Scaling

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