Maximilian Böther

Hey, nice to meet you! 👋

I am pursuing a Ph.D. in Computer Science at the ETH Zurich Systems Group and the Efficient Architectures and Systems Lab (EASL), supervised by Professor Ana Klimovic.

My interests lie in machine learning systems, large-scale data processing, and modern hardware. Currently, I am building a new system for training machine learning models on dynamic datasets. It is my goal to bring together different streams of theoretical research to solve a practical problem apparent in real-world ML use cases.

I obtained B.Sc. and M.Sc. degrees in IT-Systems Engineering from Hasso Plattner Institute, Potsdam, Germany in 2020 and 2022. I have published several papers at renowned venues, e.g., ICLR, DaMoN, and GECCO, have received a Best Paper Award at GECCO’21, and have several years of experience administrating Linux servers. As a side interest, I enjoy interdisciplinary work on the intersection of law and computer science in cooperation with the Center for Legal Technology and Data Science of Bucerius Law School.

Please find my CV here.

news

Nov 1, 2022	I joined the ETH Zurich Systems Group and the Efficient Architectures and Systems Lab (EASL) to do a Ph.D. in Machine Learning Systems, supervised by Professor Ana Klimovic. Looking forward to the new adventures in Switzerland!
Oct 15, 2022	Our paper on efficiently computing directed minimum spanning trees (arboresence) has been accepted for publication at ALENEX 2023. Check out the final version here.
Jun 6, 2022	Our Law Smells paper, which applies concepts of software engineering to the law, has been published in AI&Law. Check out the final version here.
Jan 24, 2022	Our paper on deep learning for combinatorial optimization just got accepted at ICLR! Check out the final version here.
Dec 27, 2021	This website just went online!

selected publications

ICLR

What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization

Böther, Maximilian, Kißig, Otto, Taraz, Martin and 3 more authors

In Proceedings of the International Conference on Learning Representations (ICLR) 2022

Bib HTML PDF

@inproceedings{Boether2022TreeSearch,
  author = {Böther, Maximilian and Kißig, Otto and Taraz, Martin and Cohen, Sarel and Seidel, Karen and Friedrich, Tobias},
  title = {What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization},
  booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR})},
  year = {2022},
  url = {https://openreview.net/forum?id=mk0HzdqY7i1},
}

GECCO

Evolutionary Minimization of Traffic Congestion

Böther, Maximilian, Schiller, Leon, Fischbeck, Philipp and 3 more authors

In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2021

Bib HTML PDF

@inproceedings{Bother2021EvoRouting,
  author = {B{\"{o}}ther, Maximilian and Schiller, Leon and Fischbeck, Philipp and Molitor, Louise and Krejca, Martin S. and Friedrich, Tobias},
  title = {Evolutionary Minimization of Traffic Congestion},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
  year = {2021},
  doi = {10.1145/3449639.3459307},
  url = {https://dl.acm.org/doi/10.1145/3449639.3459307},
}

DaMoN@SIGMOD

Drop It In Like It’s Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs

Böther, Maximilian, Kißig, Otto, Benson, Lawrence and 1 more author

In Proceedings of the International Workshop on Data Management on New Hardware (DaMoN@SIGMOD) 2021

Bib HTML PDF

@inproceedings{Bother2021PMem,
  author = {B{\"{o}}ther, Maximilian and Ki{\ss}ig, Otto and Benson, Lawrence and Rabl, Tilmann},
  title = {Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in
                 Replacement for NVMe SSDs},
  booktitle = {Proceedings of the International Workshop on Data Management
                 on New Hardware (DaMoN@SIGMOD)},
  year = {2021},
  url = {https://doi.org/10.1145/3465998.3466010},
  doi = {10.1145/3465998.3466010},
}