Machine Learning in VLSI Computer Aided Design

A Preliminary Taxonomy for Machine Learning in VLSI CAD
Machine Learning for Compact Lithographic Process Models
Machine Learning for Mask Synthesis
Machine Learning in Physical Verification, Mask Synthesis, and Physical Design
Gaussian Process-Based Wafer-Level Correlation Modeling and Its Applications
Machine Learning Approaches for IC Manufacturing Yield Enhancement
Efficient Process Variation Characterization by Virtual Probe
Machine Learning for VLSI Chip Testing and Semiconductor Manufacturing Process Monitoring and Improvement
Machine Learning-Based Aging Analysis
Extreme Statistics in Memories
Fast Statistical Analysis Using Machine Learning
Fast Statistical Analysis of Rare Circuit Failure Events
Learning from Limited Data in VLSI CAD
Large-Scale Circuit Performance Modeling by Bayesian Model Fusion
Sparse Relevance Kernel Machine-Based Performance Dependency Analysis of Analog and Mixed-Signal Circuits
SiLVR: Projection Pursuit for Response Surface Modeling
Machine Learning-Based System Optimization and Uncertainty Quantification for Integrated Systems
SynTunSys: A Synthesis Parameter Autotuning System for Optimizing High-Performance Processors
Multicore Power and Thermal Proxies Using Least-Angle Regression
A Comparative Study of Assertion Mining Algorithms in GoldMine
Energy-Efficient Design of Advanced Machine Learning Hardware