research
∙
09/30/2022
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning
Post-silicon validation is one of the most critical processes in modern ...
share
research
∙
09/25/2022
Deep Feature Selection Using a Novel Complementary Feature Mask
Feature selection has drawn much attention over the last decades in mach...
research
∙
07/01/2022
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning
In post-silicon validation, tuning is to find the values for the tuning ...
research
∙
07/01/2022
Conditional Variable Selection for Intelligent Test
Intelligent test requires efficient and effective analysis of high-dimen...
research
∙
11/17/2021
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems
In recent years, the usage of ensemble learning in applications has grow...
research
∙
11/17/2021
Self-Learning Tuning for Post-Silicon Validation
Increasing complexity of modern chips makes design validation more diffi...
research
∙
10/26/2020