Peter Domanski

According to our database, Peter Domanski authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Denis Schwachhofer, Peter Domanski, Steffen Becker, Stefan Wagner, Matthias Sauer, Dirk Pflüger, Ilia Polian

CoRR, 2024

2023

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning.

Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger

Proceedings of the IEEE International Conference on Digital Health, 2023

Learn to Tune: Robust Performance Tuning in Post-Silicon Validation.

Peter Domanski, Dirk Pflüger, Raphaël Latty

Proceedings of the IEEE European Test Symposium, 2023

2022

Intelligent Methods for Test and Reliability.

Hussam Amrouch, Jens Anders, Steffen Becker, Maik Betka, Gerd Bleher, Peter Domanski, Nourhan Elhamawy, Thomas Ertl, Athanasios Gatzastras, Paul R. Genssler, Sebastian Hasler, Martin Heinrich, André van Hoorn, Hanieh Jafarzadeh, Ingmar Kallfass, Florian Klemme, Steffen Koch, Ralf Küsters, Andrés Lalama, Raphaël Latty, Yiwen Liao, Natalia Lylina, Zahra Paria Najafi-Haghi, Dirk Pflüger, Ilia Polian, Jochen Rivoir, Matthias Sauer, Denis Schwachhofer, Steffen Templin, Christian Volmer, Stefan Wagner, Daniel Weiskopf, Hans-Joachim Wunderlich, Bin Yang, Martin Zimmermann

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Self-Learning Tuning for Post-Silicon Validation.

Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty

CoRR, 2021

ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems.

Peter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021