Mattis Hartwig

- Research Assistant -


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 2. OG

Email: m.hartwig(at)uni-luebeck.de
Phone:

Publications

2024

Malte Luttermann, Ralf Möller, and Mattis Hartwig,
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models, in Proceedings of the Forty-Seventh German Conference on Artificial Intelligence (KI-2024) , Springer, 082024. pp. 175--189.
DOI:https://doi.org/10.1007/978-3-031-70893-0_13
Datei: Dateilink
Bibtex: BibTeX
@inproceedings{LuMoHa24,
    author    = {Malte Luttermann and Ralf Möller and Mattis Hartwig},
    title     = {{Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models}},
    booktitle = {Proceedings of the Forty-Seventh German Conference on Artificial Intelligence (KI-2024)},
    year      = {2024},
    pages     = {175--189},
    publisher = {Springer},
}
Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, and Marcel Gehrke,
Lifted Causal Inference in Relational Domains, PMLR, 042024.
Weblink: https://proceedings.mlr.press/v236/luttermann24a.html
Datei: Dateilink
Bibtex: BibTeX
@inproceedings{LuHaBrMoGe24,
  author    = {Malte Luttermann and Mattis Hartwig and Tanya Braun and Ralf Möller and Marcel Gehrke},
  title     = {Lifted Causal Inference in Relational Domains},
  booktitle = {Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24)},
  year      = {2024},
  volume    = {236},
  pages     = {827--842},
  publisher = {PMLR},
  url       = {https://proceedings.mlr.press/v236/luttermann24a.html},
}
Mattis Hartwig, Sebastian Wolfrum, Ralf Möller, and Simon Schiff,
Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals, in Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC-2024), February 21-23, Rome, Italy , SciTePress, 2024. pp. 175--184.
ISBN:978-989-758-688-0
Simon Schiff, Sebastian Wolfrum, Ralf Möller, and Mattis Hartwig,
Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses, The International FLAIRS Conference Proceedings , vol. 37, no. 1, 2024.
Datei: 135651

2023

Nils Frohwitter, Alessa Hering, Ralf Möller, and Mattis Hartwig,
Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance, in Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) , 2023. pp. 322-329.
Bibtex: BibTeX
@inproceedings{FroHeMoHa23,
  title     = {Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance},
  author    = {Nils Frohwitter and Alessa Hering and Ralf M\"oller and Mattis Hartwig},
  year      = {2023},
  booktitle = {Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023)},
  pages     = {322-329}
}
Johanna Ott, Arthur Ledaguenel, C{\'e}line Hudelot, and Mattis Hartwig,
How to Think About Benchmarking Neurosymbolic AI?, in 17th International Workshop on Neural-Symbolic Learning and Reasoning - NESY 2023 , Sienne, Italy , 2023.
Datei: hal-04136556
Bibtex: BibTeX
@inproceedings{OtLeHuHa2023,
  TITLE     = {How to Think About Benchmarking Neurosymbolic AI?},
  AUTHOR    = {Johanna Ott and Arthur Ledaguenel and C{\'e}line Hudelot and Mattis Hartwig},
  URL       = {https://hal.science/hal-04136556},
  BOOKTITLE = {17th International Workshop on Neural-Symbolic Learning and Reasoning - NESY 2023},
  ADDRESS   = {Sienne, Italy},
  YEAR      = {2023},
  MONTH     = {Jul},
  KEYWORDS  = {Artificial intelligence ; Neurosymbolic},
  PDF       = {https://hal.science/hal-04136556/file/%5BNeSy%20Revised%5D%20How%20to%20Think%20About%20Benchmarking%20Neurosymbolic%20AI.pdf},
  HAL_ID    = {hal-04136556},
  HAL_VERSION = {v1},
  HAL_LOCAL_REFERENCE = {SMD}
}
Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, and Mattis Hartwig,
Improved Techniques for Training Tabular GANs Using Cramer's V Statistics, in Proceedings of the Canadian Conference on Artificial Intelligence , 2023. pp. 1-12.
Bibtex: BibTeX
@inproceedings{MenScScMoHa2023,
  TITLE     = {Improved Techniques for Training Tabular GANs Using Cramer's V Statistics},
  AUTHOR    = {Melle Mendikowski and Benjamin Schindler and Thomas Schmid and Ralf M{\"o}ller and Mattis Hartwig},
  YEAR      = {2023},
  BOOKTITLE = {Proceedings of the Canadian Conference on Artificial Intelligence},
  PAGES     = {1-12}
}
Alex Winter, Mattis Hartwig, and Toralf Kirsten,
Predicting Hospital Length of Stay of Patients Leaving the Emergency Department, in Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF , 2023. pp. 124--131.
Bibtex: BibTeX
@inproceedings{WiHaKi2023,
 author       = {Alex Winter and Mattis Hartwig and Toralf Kirsten},
 title        = {Predicting Hospital Length of Stay of Patients Leaving the Emergency Department},

 year         = {2023},
 booktitle    = {Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF},
 pages        = {124--131}
}

2022

Mattis Hartwig, Anjali Bhat, and Achim Peters,
How stress can change our deepest preferences: stress habituation explained using the free energy principle, Frontiers in psychology , vol. 13, pp. 865203, 2022. Frontiers.
Bibtex: BibTeX
@article{HarBhPe2022,
  title={How stress can change our deepest preferences: stress habituation explained using the free energy principle},
  author={Hartwig, Mattis and Bhat, Anjali and Peters, Achim},
  journal={Frontiers in psychology},
  volume={13},
  pages={865203},
  year={2022},
  publisher={Frontiers}
}
Achim Peters, Mattis Hartwig, and Tobias Spiller,
Obesity and Type 2 Diabetes Mellitus Explained by the Free Energy Principle, Frontiers in Psychology , vol. 13, pp. 931701, 2022. Frontiers.
Bibtex: BibTeX
@article{PetHarSpi2022,
  title={Obesity and Type 2 Diabetes Mellitus Explained by the Free Energy Principle},
  author={Achim Peters and Mattis Hartwig and Tobias Spiller},
  journal={Frontiers in Psychology},
  volume={13},
  pages={931701},
  year={2022},
  publisher={Frontiers}
}
Mareike Stender, Mattis Hartwig, Tanya Braun, and Ralf Möller,
{Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model}, in The 35. International FLAIRS Conference Proceedings , 2022.
Datei: 130682
Bibtex: BibTeX
@inproceedings{Stender2022, 
author={Mareike Stender and Mattis Hartwig and Tanya Braun and Ralf Möller},
title={{Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model}}, 
booktitle={The 35. International FLAIRS Conference Proceedings},  
year={2022}, 
month={May},
pages={},
publisher={},
url={https://journals.flvc.org/FLAIRS/article/view/130682}
}
Mattis Hartwig,
{New Methods for Efficient Query Answering in Gaussian Probabilistic Graphical Models}, University of L\"ubeck, 2022.
Bibtex: BibTeX
@phdthesis{Hart22,
  author = {Mattis Hartwig},
  title = {{New Methods for Efficient Query Answering in Gaussian Probabilistic Graphical Models}},
  school = {University of L\"ubeck},
  year = {2022},
  month={September},
  note = {PhD thesis}
}
Melle Mendikowski, and Mattis Hartwig,
{Creating Customers That Never Existed: Synthesis of E-commerce Data Using CTGAN}, in 18th International Conference on Machine Learning and Data Mining (MLDM-22) , New York, US: IBAI Publishing, 2022. pp. 91--105.
ISBN:978-3-942952-93-4
Bibtex: BibTeX
@inproceedings{MenHa22,
  author = {Melle Mendikowski and Mattis Hartwig}, 
  title = {{Creating Customers That Never Existed: Synthesis of E-commerce Data Using CTGAN}}, 
  booktitle = {18th International Conference on Machine Learning and Data Mining (MLDM-22)},
  address = {New York, US}, 
  year = {2022},
  date = {16.-22.07.2022},
  pages = {91--105},
  publisher = {IBAI Publishing},
  ISBN = {978-3-942952-93-4}
}

2021

Mattis Hartwig, and Achim Peters,
Cooperation and Social Rules Emerging From the Principle of Surprise Minimization, Frontiers in Psychology , vol. 11, pp. 3668, 2021.
DOI:10.3389/fpsyg.2020.606174
Datei: fpsyg.2020.606174
Bibtex: BibTeX
@article{HarPe21,
author={Mattis Hartwig and Achim Peters}, 
title={Cooperation and Social Rules Emerging From the Principle of Surprise Minimization},      	
journal={Frontiers in Psychology},      	
volume={11},      
pages={3668},     	
year={2021},      	  
url={https://www.frontiersin.org/article/10.3389/fpsyg.2020.606174}, 
issn={1664-1078}
}
Mattis Hartwig, Tanya Braun, and Ralf Möller,
Handling Overlaps When Lifting Gaussian Bayesian Networks, in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) , Montreal, Kanada: IJCAI Organization, 2021. pp. 4228--4234.
DOI:https://doi.org/10.24963/ijcai.2021/581
ISBN:978-0-9992411-9-6 (online)
Bibtex: BibTeX
@inproceedings{HarBrMo21,
  author = {Mattis Hartwig and Tanya Braun and Ralf M\"oller}, 
  title = {{Handling Overlaps When Lifting Gaussian Bayesian Networks}}, 
  booktitle = {Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)},
  address = {Montreal, Kanada}, 
  year = {2021},
  date = {19.-27.08.2021},
  pages = {4228--4234},
  publisher = {IJCAI Organization},
  DOI = {https://doi.org/10.24963/ijcai.2021/581},
  ISBN = {978-0-9992411-9-6 (online)}
}

2020

Mattis Hartwig,
"{Efficient Query Answering in Nonparametric Probabilistic Graphical Models}" Bamberg, 2020.
Bibtex: BibTeX
@techreport{Har20,
    Author = {Mattis Hartwig},
    Title = {{Efficient Query Answering in Nonparametric
Probabilistic Graphical Models}},
    Year = {2020},
    date = {21.-25.09.2020},
    address = {Bamberg},
    Institution = {German Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz)},
    Note = {43rd German Conference on Artificial Intelligence, Doctoral Consortium}
}
Mattis Hartwig, and Ralf Möller,
How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?, in {AI} 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, {AI} 2020 , 2020.
Bibtex: BibTeX
@inproceedings{HaMo20b,
  author={Mattis Hartwig and Ralf Möller},
  title={How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?},
  booktitle = {{AI} 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, {AI} 2020}},
  address = { Canberra, ACT, Australia, November 29-30, 2020},
  series    = {Lecture Notes in Computer Science (LNCS)},
  volume    = {12576},
  pages     = {371--382},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/978-3-030-64984-5_29}
}

2019

Mattis Hartwig, Marcel Gehrke, and Ralf Möller,
Approximate Query Answering in Complex Gaussian Mixture Models, in IEEE International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019 , IEEE, Nov.2019. pp. 81--86.
Datei: ICBK.2019.00019
Bibtex: BibTeX
@inproceedings{HarGeMo19,
  title={{Approximate Query Answering in Complex Gaussian Mixture Models}},
  author = {Mattis Hartwig and Marcel Gehrke and Ralf M\"oller}, 
booktitle = {{IEEE} International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019},
  year={2019},
  pages={81--86},
  publisher = {{IEEE}},
  url       = {https://doi.org/10.1109/ICBK.2019.00019},
  publisher = {IEEE}
}