Peter Domanski

Schwachhofer, D., Domanski, P., Becker, S., Wagner, S., Sauer, M., Pflüger, D., Polian, I.: Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties, https://arxiv.org/abs/2403.10086, (2024).

Domanski, P., Ray, A., Firouzi, F., Lafata, K., Chakrabarty, K., Pflüger, D.: Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. In: 2023 IEEE International Conference on Digital Health (ICDH). pp. 339–347 (2023). https://doi.org/10.1109/ICDH60066.2023.00042.

Domanski, P., Pflüger, D., Latty, R.: Learn to Tune: Robust Performance Tuning in Post-Silicon Validation. In: 2023 IEEE European Test Symposium (ETS). pp. 1–4 (2023). https://doi.org/10.1109/ETS56758.2023.10174123.

Domanski, P., Pflüger, D., Rivoir, J., Latty, R.: Self-Learning Tuning for Post-Silicon Validation, https://arxiv.org/abs/2111.08995, (2022).

Amrouch, H., Anders, J., Becker, S., Betka, M., Bleher, G., Domanski, P., Elhamawy, N., Ertl, T., Gatzastras, A., Genssler, P., Hasler, S., Heinrich, M., van Hoorn, A., Jafarzadeh, H., Kallfass, I., Klemme, F., Koch, S., Küsters, R., Lalama, A., Latty, R., Liao, Y., Lylina, N., Haghi, Z.N., Pflüger, D., Polian, I., Rivoir, J., Sauer, M., Schwachhofer, D., Templin, S., Volmer, C., Wagner, S., Weiskopf, D., Wunderlich, H.-J., Yang, B., Zimmermann, M.: Intelligent Methods for Test and Reliability. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). pp. 969–974 (2022). https://doi.org/10.23919/DATE54114.2022.9774526.

Domanski, P., Pflüger, D., Latty, R., Rivoir, J.: ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. In: Wani, M.A., Sethi, I.K., Shi, W., Qu, G., Raicu, D.S., and Jin, R. (eds.) 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). pp. 1357–1364. IEEE, Piscataway (2021). https://doi.org/10.1109/ICMLA52953.2021.00220.