DI Dr. Bernhard Nessler

Research Manager Intelligent Systems and Certification for AI

Telefon: +43 50 343 847

bernhard.nessler@scch.at

Details

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Research Gate

Bernhard Nessler is Senior Research Project Manager.

Research Interests

Deep Learning, GANs, Neural Networks
Computational Neuroscience
Probabilistic Models
Applications in autonomous robotics and self-driving cars

Key Facts

Diplom-Ingenieur in Telematics (Graz University of Technology)
PhD in Telecommunication Engineering (Graz University of Technology)
Marie Curie Fellow (2015-2016)

Publikationen

2024
The Turing Game

Lewandowski, M., Schmid, S. L., Mederitsch, P., Aufreiter, A., Aichinger, G., Nessler, F., Bergsmann, S., Szolga, V., Halmdienst, T., & Nessler, B. (2024). The Turing Game. In The First Workshop on System-2 Reasoning at Scale, NeurIPS'24. Retrieved from https://openreview.net/forum?id=YiquAWqFw3
Der Begriff des "KI-Systems" unter der neuen KI-VO - Vorschlag eines "Drei-Faktor-Ansatzes" zur Beseitigung juristischer und technischer Ungereimtheiten

Wendehorst/Nessler/Aufreiter/Aichinger, Der Begriff des "KI-Systems" unter der neuen KI-VO, Multimedia und Recht MMR 07-2024, 605.
Application domain definition for functional trustworthiness certification of AI

Schmid, S., Aufreiter, A, & Nessler, B. (2024). Application domain definition for functional trustworthiness certification of AI. AIRoV – The First Austrian Symposium on AI, Robotics, and Vision (accepted).
An Introduction to AI: System I & II

Nessler/Aufreiter/Mederitsch/Aichinger/Schmid, An Introduction to AI : System I & II, WU Tax Technology Conference 2024 (accepted)
2023
Functional trustworthiness of AI systems by statistically valid testing

Nessler, B., Hochreiter, S., & Doms, T. (2023). Functional trustworthiness of AI systems by statistically valid testing. Position paper to the current regulation and standardization effort of AI in Europe. SCCH Technical Report. https://doi.org/10.48550/arXiv.2310.02727
2022
Admission Certification for Digital Pilots in Public Traffic

Nessler, B., Fischer, L., Martinez-Gil, J., Holom, R.-M., Bosa, K., Kastner, K.-H., Tatschl-Unterberger, E., Watzinger, H., Weissenböck, J., Doms, T., & Schwald, C. (2022) Admission Certification for Digital Pilots in Public Traffic. IJCAI Workshop AI4AD
2021
The balancing principle for parameter choice in distance-regularized domain adaptation

Zellinger, W., Shepeleva, N., Dinu, M.-C., Eghbal-zadeh, H., Nguyen, H.D., Nessler, B., Pereverzyev, S.V., & Moser, B.A. (2021). The balancing principle for parameter choice in distance-regularized domain adaptation. Advances in neural Information Processing Systems 34 (NeurIPS 2021).