Sebastian Buschjäger

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

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}
}
```
DATE
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

PAPER Bibtex
```
@inproceedings{Buschjaeger/etal/2021b,
  author = {Buschj\"{a}ger, Sebastian and Chen, Jian-Jia and Chen, Kuan-Hsun and G{\"u}nzel, Mario and Hakert, Christian and Morik, Katharina and Novkin, Rodion and Pfahler, Lukas and Yayla, Mikail},
  title = {Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance},
  booktitle = {Proceedings of DATE 2021},
  year = {2021},
  selected = {true},
  abbr = {DATE},
  url = {https://ls12-www.cs.tu-dortmund.de/daes/media/documents/publications/downloads/2021dateyayla.pdf}
}
```