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Matthias Möller

Matthias Möller Position: Doctoral Student School/office: School of Science and Technology

Email: bWF0dGhpYXMubW9lbGxlcjtvcnUuc2U=

Phone: No number available

Room: T2252D

Research subject Research environments

About Matthias Möller

I am a Ph.D. candidate with a focus in Neuro-symbolic AI. The focus of my current research is the learning of Neurosymbolic logic programs - programs that combine probability, formal logic and neural networks.

Publications

Conference papers | 

Conference papers

  • Eickhoff, P. , Möller, M. , Rosin, T. P. , Twiefel, J. & Wermter, S. (2023). Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition. In: Lazaros Iliadis; Antonios Papaleonidas; Plamen Angelov; Chrisina Jayne,  Artificial Neural Networks and Machine Learning – ICANN 2023 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII. Paper presented at 32nd International Conference on Artificial Neural Networks (ICANN 2023), Heraklion, Crete, Greece, September 26-29, 2023. (pp. 376-388). Springer. [BibTeX]