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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 ...
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09/25/2022
Deep Feature Selection Using a Novel Complementary Feature Mask
Feature selection has drawn much attention over the last decades in mach...
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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 ...
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07/01/2022
Conditional Variable Selection for Intelligent Test
Intelligent test requires efficient and effective analysis of high-dimen...
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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...
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11/17/2021
Self-Learning Tuning for Post-Silicon Validation
Increasing complexity of modern chips makes design validation more diffi...
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10/26/2020
