Matthias Kissel, M.Sc.

Technische Universität München
Lehrstuhl für Datenverarbeitung
Arcisstraße 21
80333 München

Tel.: +49 (0)89 289 23623
Fax.: +49 (0)89 289 23600
Zimmer: Z943



Research Interests

  • Utilization of structures in (deep) neural networks
  • Neural network architectures and their influence on learning performance
  • Use of expert knowledge for the training of neural networks
  • Design of new training algorithms for neural networks


  • Kissel, Matthias, and Klaus Diepold. "Sobolev Training with Approximated Derivatives for Black-Box Function Regression with Neural Networks." ECML/PKDD (2). 2019.
  • Kissel, Matthias, Martin Gottwald, and Klaus Diepold. "Neural Network Training with Safe Regularization in the Null Space of Batch Activations." International Conference on Artificial Neural Networks. Springer, Cham, 2020.
  • M. Corletto, M. Kissel and K. Diepold, "Impact of Real-World Market Conditions on Returns of Deep Learning based Trading Strategies," 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021, pp. 01-06.

Selected supervised Theses