Peter Domanski

Orcid: 0000-0001-5283-2712

According to our database1, Peter Domanski authored at least 9 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties.
CoRR, 2024

ML-TIME: ML-driven Timing Analysis of Integrated Circuits in the Presence of Process Variations and Aging Effects.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Training Large Language Models for System-Level Test Program Generation Targeting Non-functional Properties.
Proceedings of the IEEE European Test Symposium, 2024

Large Language Model-Based Optimization for System-Level Test Program Generation.
Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2024

2023
Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Digital Health, 2023

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

2022

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