Sebastian Buschjäger


I am a postdoctoral researcher and the Coordinator for Resource-Aware Machine Learning at the Lamarr Institute. Before that, I was a Ph.D. student in the artificial intelligence group at TU Dortmund University in Germany. There, I participated in the Collaborative Research Center SFB 876, project A1 in which I studied novel machine learning methods for embedded systems and small devices. I received my Ph.D. in 2022 with distinction (summa cum laude) titled “Ensemble learning with discrete classifiers on small devices.” Apart from research, I play badminton, run, and watch too many movies.

My formal CV is available in German or English.

research topics

  • Machine Learning Ensemble learning, model application, submodular functions
  • Computer Architecture Architecture-dependent optimizations and code generation, custom architectures/FPGAs, embedded devices

selected publications

  1. ECML
    Joint leaf-refinement and ensemble pruning through L\(_\mbox1\)regularization
    Sebastian Buschjäger, and Katharina Morik
    Data Min. Knowl. Discov., 2023
  2. PhD Thesis
    Ensemble learning with discrete classifiers on small devices
    Sebastian Buschjäger
    Technical University of Dortmund, Germany, 2022
  3. Shrub Ensembles for Online Classification
    Sebastian Buschjäger, Sibylle Hess, and Katharina Morik
    In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022
  4. TECS
    Efficient Realization of Decision Trees for Real-Time Inference
    Kuan-Hsun Chen, ChiaHui Su, Christian Hakert, and 5 more authors
    ACM Transactions on Embedded Computing Systems, Dec 2021
  5. There is no Double-Descent in Random Forests
    Sebastian Buschjäger, and Katharina Morik
    Dec 2021