Research

In my research, I am trying to contribute to a more profound understanding of the mathematical foundations of artificial neural networks. I am in particular interested in neural networks in numerical analysis.

Preprints

  1. Feischl, M.; Zehetgruber, F., Computational Math with Neural Networks is Hard, arXiv E-print, 2025
  2. Feischl, M.; Schwab, C.; Zehetgruber, F., Neural General Operator Networks via Banach Fixed Point Iterations, SAM report, 2025
  3. Feischl, M.: Rieder, A.; Zehetgruber, F., Towards optimal hierarchical training of neural networks, In arXiv E-print, 2024

Grants

2026: January to August

Marietta-Blau Grant from the Federal Ministry for Women, Science and Research of the Republic of Austria: 8 months research stay at UNSW Sydney with Prof. Josef Dick

Short CV

since 11/2023

Project assistant at TU Wien under the supervision of Uinv. Prof. Michael Feischl at the Institute of Analysis and Scientific Computing

09/2023

Master at Sorbonne Université Paris after finishing the program Mathématiques de la Modélisation (Mathematical Modeling)

2021

Bachelor of Science in Technical Mathematics (BSc.) at TU Wien