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

PhD Thesis

Ensemble learning with discrete classifiers on small devices

Buschjäger, Sebastian

2022

PAPER Bibtex

@phdthesis{Buschjaeger/2022,
  author = {Buschj{\"{a}}ger, Sebastian},
  title = {Ensemble learning with discrete classifiers on small devices},
  url = {http://hdl.handle.net/2003/41132},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/phd/dnb/Buschjager22.bib},
  school = {Technical University of Dortmund, Germany},
  timestamp = {Fri, 20 Jan 2023 21:27:23 +0100},
  urn = {urn:nbn:de:101:1-2022111802423335923878},
  year = {2022},
  selected = {true},
  abbr = {PhD Thesis}
}

AAAI

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

arXiv PAPER Code Poster Video Slides Bibtex

@inproceedings{Buschjaeger/etal/2022,
  title = {Shrub Ensembles for Online Classification (to appear, accepted)},
  author = {Buschjäger, Sebastian and Hess, Sibylle and Morik, Katharina},
  year = {2022},
  url = {https://arxiv.org/abs/2112.03723},
  arxiv = {2112.03723},
  abbr = {AAAI},
  selected = {true},
  booktitle = {Proceedings of the Thirty-Sixth {AAAI} Conference on Artificial Intelligence (AAAI-22)},
  publisher = { {AAAI} Press},
  slides = {aaai2022_slides.pdf},
  poster = {aaai2022_poster.pdf},
  video = {https://slideslive.com/embed/presentation/38976989?embed_parent_url=https%3A%2F%2Faaai-2022.virtualchair.net%2Fposter_aaai10816&embed_container_origin=https%3A%2F%2Faaai-2022.virtualchair.net&embed_container_id=presentation-video&auto_load=true&auto_play=false&zoom_ratio=&disable_fullscreen=false&locale=en&vertical_enabled=true&vertical_enabled_on_mobile=false&allow_hidden_controls_when_paused=false&fit_to_viewport=true&user_uuid=6693ffb9-6d22-4e46-8c19-6db37e50a729},
  code = {https://github.com/sbuschjaeger/se-online}
}

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

Bibtex
```
@article{Chen/etal/2022,
  title = {Efficient Realization of Decision Trees for Real-Time Inference (to appear, accepted)},
  author = {Chen, Kuan-Hsun and Hsu, Chia-Hui and Hakert, Christian and Buschj\"ager, Sebastian and Lee, Chao-Lin and Lee, Jenq-Kuen and Morik, Katharina and Chen, Jian-Jia},
  journal = {ACM Transactions on Embedded Computing Systems},
  year = {2022},
  abbr = {TECS},
  selected = {true}
}
```

arXiv

There is no Double-Descent in Random Forests

Buschjäger, Sebastian, and Morik, Katharina

2021

arXiv PAPER Bibtex

@misc{Buschjaeger/morik/2021c,
  title = {There is no Double-Descent in Random Forests},
  author = {Buschjäger, Sebastian and Morik, Katharina},
  year = {2021},
  eprint = {2111.04409},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2111.04409},
  arxiv = {2111.04409},
  abbr = {arXiv},
  selected = {true}
}

arXiv

Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement

Buschjäger, Sebastian, and Morik, Katharina

2021

arXiv PAPER Bibtex

@misc{Buschjaeger/Morik/2021b,
  title = {Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement},
  author = {Buschjäger, Sebastian and Morik, Katharina},
  year = {2021},
  eprint = {2110.10075},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2110.10075},
  arxiv = {2110.10075},
  abbr = {arXiv},
  selected = {true}
}

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

PAPER Video Slides Bibtex
```
@inproceedings{Buschjaeger/etal/2021a,
  author = {Buschj\"{a}ger, Sebastian and Honysz, Philipp-Jan and Pfahler, Lukas and Morik, Katharina},
  title = {Very Fast Streaming Submodular Function Maximization},
  booktitle = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  publisher = {Springer},
  year = {2021},
  url = {https://2021.ecmlpkdd.org/wp-content/uploads/2021/07/sub_178.pdf},
  slides = {ecml2021_slides.pdf},
  video = {https://slideslive.com/38963553/very-fast-streaming-submodular-function-maximization},
  selected = {true},
  abbr = {ECML}
}
```