Raphaël Latty

According to our database1, Raphaël Latty authored at least 10 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Learn to Tune: Robust Performance Tuning in Post-Silicon Validation.
Proceedings of the IEEE European Test Symposium, 2023

2022
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning.
CoRR, 2022

Deep Feature Selection Using a Novel Complementary Feature Mask.
CoRR, 2022

A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning.
CoRR, 2022

Conditional Variable Selection for Intelligent Test.
CoRR, 2022

Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information.
Proceedings of the IEEE International Test Conference, 2022


2021
Self-Learning Tuning for Post-Silicon Validation.
CoRR, 2021

Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization.
Proceedings of the International Joint Conference on Neural Networks, 2021

ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021


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