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
    Rejection Ensembles with Online Calibration (RewOC) (to appear)
    Sebastian Buschjäger
    In European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, 2024
    Random Forests going Serverless (to appear)
    Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, and 2 more authors
    In 25th ACM/IFIP International Middleware Conference, 2024
  3. ECML
    Joint leaf-refinement and ensemble pruning through L\(_\mbox1\)regularization
    Sebastian Buschjäger, and Katharina Morik
    Data Min. Knowl. Discov., 2023
  4. PhD Thesis
    Ensemble learning with discrete classifiers on small devices
    Sebastian Buschjäger
    Technical University of Dortmund, Germany, 2022