publications

2024

1. 

   Google Topics as a way out of the cookie dilemma?

   Marius Köppel , Jan-Philipp Muttach , and Gerrit Hornung2

   2024

   Bib PDF

   @article{topics,
     title = {Google Topics as a way out of the cookie dilemma?},
     author = {Köppel, Marius and Muttach, Jan-Philipp and Hornung2, Gerrit},
     year = {2024},
     eprint = {},
     archiveprefix = {arXiv},
     primaryclass = {},
     url = {},
   }

2. 

   10 Years of Fair Representations: Challenges and Opportunities

   Mattia Cerrato , Marius Köppel , Philipp Wolf , and 1 more author

   2024

   Bib PDF

   @article{10y,
     title = {10 Years of Fair Representations: Challenges and Opportunities},
     author = {Cerrato, Mattia and Köppel, Marius and Wolf, Philipp and Kramer, Stefan},
     year = {2024},
     eprint = {},
     archiveprefix = {arXiv},
     primaryclass = {},
     url = {},
   }

3. 

   Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform

   Tim Klausmann , Marius Köppel , Daniel Schunk , and 1 more author

   2024

   Bib PDF

   @misc{klausmann2024machinelearningsolvechallenge,
     title = {Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform},
     author = {Klausmann, Tim and Köppel, Marius and Schunk, Daniel and Zipperle, Isabell},
     year = {2024},
     eprint = {2407.03118},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2407.03118},
   }

2023

1. 

   Invariant Representations with Stochastically Quantized Neural Networks

   Mattia Cerrato , Marius Köppel , Roberto Esposito , and 1 more author

   Proceedings of the AAAI Conference on Artificial Intelligence, Jun 2023

   Bib PDF

   @article{Cerrato_Köppel_Esposito_Kramer_2023,
     title = {Invariant Representations with Stochastically Quantized Neural Networks},
     volume = {37},
     url = {https://ojs.aaai.org/index.php/AAAI/article/view/25851},
     doi = {10.1609/aaai.v37i6.25851},
     number = {6},
     journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
     author = {Cerrato, Mattia and Köppel, Marius and Esposito, Roberto and Kramer, Stefan},
     year = {2023},
     month = jun,
     pages = {6962-6970},
   }

2. 

   Data Flow in the Mu3e DAQ

   Marius Köppel

   IEEE Transactions on Nuclear Science, Jun 2023

   Bib PDF

   @article{10126097,
     author = {Köppel, Marius},
     journal = {IEEE Transactions on Nuclear Science},
     title = {Data Flow in the Mu3e DAQ},
     year = {2023},
     volume = {70},
     number = {6},
     pages = {898-905},
     keywords = {Detectors;Data acquisition;Field programmable gate arrays;Optical switches;Clocks;Mesons;Timing;Data acquisition (DAQ);field-programmable gate arrays (FPGAs);physics},
     doi = {10.1109/TNS.2023.3276470},
   }

3. 

   The Case for Correctability in Fair Machine Learning.

   Mattia Cerrato , Alesia Vallenas Coronel , and Marius Köppel

   In EWAF , Jun 2023

   Bib PDF

   @inproceedings{cerrato2023case,
     title = {The Case for Correctability in Fair Machine Learning.},
     author = {Cerrato, Mattia and Coronel, Alesia Vallenas and K{\"o}ppel, Marius},
     booktitle = {EWAF},
     year = {2023},
   }

2022

1. 

   Ranking Creative Language Characteristics in Small Data Scenarios

   Julia Siekiera , Marius Köppel , Edwin Simpson , and 3 more authors

   International Conference on Computational Creativity, Jun 2022

   Bib PDF

   @article{Köppel2022,
     author = {Siekiera, Julia and Köppel, Marius and Simpson, Edwin and Stowe, Kevin and Gurevych, Iryna and Kramer, Stefan},
     title = {Ranking Creative Language Characteristics in Small Data Scenarios},
     journal = {International Conference on Computational Creativity},
     year = {2022},
     url = {https://computationalcreativity.net/iccc22/wp-content/uploads/2022/06/ICCC-2022_19S_Siekiera-et-al.pdf},
   }

2. 

   Learning to rank Higgs boson candidates

   Marius Köppel , Alexander Segner , Martin Wagener , and 4 more authors

   Scientific Reports, Jul 2022

   Bib PDF

   @article{Köppel2023,
     author = {K{\"o}ppel, Marius and Segner, Alexander and Wagener, Martin and Pensel, Lukas and Karwath, Andreas and Schmitt, Christian and Kramer, Stefan},
     title = {Learning to rank Higgs boson candidates},
     journal = {Scientific Reports},
     year = {2022},
     month = jul,
     day = {30},
     volume = {12},
     number = {1},
     pages = {13094},
     issn = {2045-2322},
     doi = {10.1038/s41598-022-10383-w},
     url = {https://doi.org/10.1038/s41598-022-10383-w},
   }

3. 

   Fair Interpretable Learning via Correction Vectors

   Mattia Cerrato , Marius Köppel , Alexander Segner , and 1 more author

   Jul 2022

   Bib PDF

   @article{cerrato2022fairinterpretablelearningcorrection,
     title = {Fair Interpretable Learning via Correction Vectors},
     author = {Cerrato, Mattia and Köppel, Marius and Segner, Alexander and Kramer, Stefan},
     year = {2022},
     eprint = {2201.06343},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2201.06343},
   }

2019

1. 

   Data Flow in the Mu3e Filter Farm

   Marius Köppel

   Jul 2019

   Bib PDF

   @mthesis{mariusMaster,
     author = {Köppel, Marius},
     title = {{Data Flow in the Mu3e Filter Farm}},
     year = {2019},
     school = {Johannes Gutenberg-Universität Mainz},
   }