2 citations · 4 across the 7 of their papers we have counts for
7 papers
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning
Yiwen Liao, Raphaël Latty, Bin Yang
Post-silicon validation is one of the most critical processes in modern semiconductor manufacturing. Specifically, correct and deep understanding in test cases of manufactured devi…
Deep Feature Selection Using a Novel Complementary Feature Mask
Yiwen Liao, Jochen Rivoir, Raphaël Latty +1
Feature selection has drawn much attention over the last decades in machine learning because it can reduce data dimensionality while maintaining the original physical meaning of fe…
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning
Yiwen Liao, Bin Yang, Raphaël Latty +1
In post-silicon validation, tuning is to find the values for the tuning knobs, potentially as a function of process parameters and/or known operating conditions. In this sense, an…
Conditional Variable Selection for Intelligent Test
Yiwen Liao, Tianjie Ge, Raphaël Latty +1
Intelligent test requires efficient and effective analysis of high-dimensional data in a large scale. Traditionally, the analysis is often conducted by human experts, but it is not…
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\
Peter Domanski, Dirk Pflüger, Jochen Rivoir +1
In recent years, the usage of ensemble learning in applications has grown significantly due to increasing computational power allowing the training of large ensembles in reasonable…
Self-Learning Tuning for Post-Silicon Validation
Peter Domanski, Dirk Pflüger, Jochen Rivoir +1
Increasing complexity of modern chips makes design validation more difficult. Existing approaches are not able anymore to cope with the complexity of tasks such as robust performan…
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization
Yiwen Liao, Raphaël Latty, Bin Yang
Feature selection is generally used as one of the most important preprocessing techniques in machine learning, as it helps to reduce the dimensionality of data and assists research…