Raphaël Latty

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 11

Top Topics

Pointwise Mutual Information

Redundant Features

Feature Weighting

Variable Selection

Top Venues

Publications

Peter Domanski, Dirk Pflüger, Raphaël Latty
Learn to Tune: Robust Performance Tuning in Post-Silicon Validation. ETS (2023)
Yiwen Liao, Raphaël Latty, Bin Yang
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning. CoRR (2022)
Yiwen Liao, Tianjie Ge, Raphaël Latty, Bin Yang
Conditional Variable Selection for Intelligent Test. CoRR (2022)
Yiwen Liao, Raphaël Latty, Paul R. Genssler, Hussam Amrouch, Bin Yang
Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information. ITC (2022)
Yiwen Liao, Jochen Rivoir, Raphaël Latty, Bin Yang
Deep Feature Selection Using a Novel Complementary Feature Mask. CoRR (2022)
Yiwen Liao, Bin Yang, Raphaël Latty, Jochen Rivoir
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning. CoRR (2022)
Peter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. ICMLA (2021)
Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty
Self-Learning Tuning for Post-Silicon Validation. CoRR (2021)
Yiwen Liao, Raphaël Latty, Bin Yang
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization. IJCNN (2021)
Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\. CoRR (2021)
Yiwen Liao, Raphaël Latty, Bin Yang
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization. CoRR (2020)