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David Erzmann

Research Assistant WG Industrial Mathematics

Room: MZH 2320
Email: erzmann@uni-bremen.de
Phone: (0421) 218-63822

Theses (Selection)complete list

  1. Long-term Forecasting of Energy Consumption Data using Attention-based Neural Networks (Cécile Pot d'or)

Publications (Selection)complete list

  1. D. Erzmann, S. Dittmer, H. Harms, P. Maaß.
    DL4TO: A Deep Learning Library for Sample-Efficient Topology Optimization.
    Lecture Notes in Computer Science, Geometric Science of Information. GSI 2023 14071, Springer Verlag, 2023.

    DOI: 10.1007/978-3-031-38271-0_54

  2. D. Erzmann, S. Dittmer.
    Equivariant Neural Operators for gradient-Consistent Topology Optimization .
    Zur Veröffentlichung eingereicht.
  3. S. Dittmer, D. Erzmann, H. Harms, P. Maaß.
    SELTO: Sample-Efficient Learned Topology Optimization.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/2209.05098