Sebastian Buschjäger

Sometimes I do stuff.

I am a PhD student at the artificial intelligence group of the TU Dortmund University, Germany. I am currently part of the Collaborative Research Center SFB 876, project A1. In this project we develop new machine learning methods for embedded systems and small devices.
Apart from research, I play badminton, do some running and watch way 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. Shrub Ensembles for Online Classification (to appear, accepted)
    Buschjäger, Sebastian, Hess, Sibylle, and Morik, Katharina
    In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) 2022
  2. TECS
    Efficient Realization of Decision Trees for Real-Time Inference (to appear, accepted)
    Chen, Kuan-Hsun, Hsu, Chia-Hui, Hakert, Christian, Buschjäger, Sebastian, Lee, Chao-Lin, Lee, Jenq-Kuen, Morik, Katharina, and Chen, Jian-Jia
    ACM Transactions on Embedded Computing Systems 2022
  3. There is no Double-Descent in Random Forests
    Buschjäger, Sebastian, and Morik, Katharina
  4. Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
    Buschjäger, Sebastian, and Morik, Katharina
  5. ECML
    Very Fast Streaming Submodular Function Maximization
    Buschjäger, Sebastian, Honysz, Philipp-Jan, Pfahler, Lukas, and Morik, Katharina
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2021
  6. Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance
    Buschjäger, Sebastian, Chen, Jian-Jia, Chen, Kuan-Hsun, Günzel, Mario, Hakert, Christian, Morik, Katharina, Novkin, Rodion, Pfahler, Lukas, and Yayla, Mikail
    In Proceedings of DATE 2021 2021