Diego Hitzges

My research focuses on deep learning for structured problems in perception and decision-making. In my previous work, I developed efficient neural architectures for event-based depth estimation and combinatorial scheduling, with an emphasis on compact models, computational efficiency, and generalization. At the Zuse Institute, I aim to continue working on deep learning, potentially with a focus on efficient learning.

📬 Contact

office
Room 3024 at ZIB
e-mail
homepage
github.com/DiegoHitzges
languages
German, English, and Spanish

🎓 Curriculum vitae

since 2026
Researcher at ZIB

📝 Publications and preprints

Preprints

  1. Hitzges, D., Ghosh, S., and Gallego, G. (2025). DERD-Net: Learning Depth from Event-based Ray Densities. [arXiv]
    [BibTeX]
    @misc{2025_HitzgesGhoshGallego_EventRayDensities_2504-15863,
  archiveprefix = {arXiv},
  eprint = {2504.15863},
  arxiv = {arXiv:2504.15863},
  primaryclass = {cs.CV},
  year = {2025},
  author = {Hitzges, Diego and Ghosh, Suman and Gallego, Guillermo},
  title = {DERD-Net: Learning Depth from Event-based Ray Densities},
  date = {2025-04-22}
}
  2. Hitzges, D., and Sagnol, G. (2025). Deep Learning for Unrelated-Machines Scheduling: Handling Variable Dimensions. [arXiv]
    [BibTeX]
    @misc{2025_HitzgesSagnol_DeepLearningUnrelatedMachines_2512-19527,
  archiveprefix = {arXiv},
  eprint = {2512.19527},
  arxiv = {arXiv:2512.19527},
  primaryclass = {cs.LG},
  year = {2025},
  author = {Hitzges, Diego and Sagnol, Guillaume},
  title = {Deep Learning for Unrelated-Machines Scheduling: Handling Variable Dimensions},
  date = {2025-12-22}
}