@article{bibliography:software-for-dataset-wide-xai,
    author  = {Anders, {Christopher J.} and Neumann, David and Samek, Wojciech and Müller, {Klaus-Robert} and Lapuschkin, Sebastian},
    title   = {Software for {dataset-wide} {XAI}: From local explanations to global insights with Zennit, {CoRelAy}, and {ViRelAy}},
    year    = {2026},
    month   = jan,
    journal = {{PLOS ONE}},
    volume  = {21},
    number  = {1},
    pages   = {1--38}
}

@article{bibliography:software-for-dataset-wide-xai,
    author       = {Anders, {Christopher J.} and Neumann, David and Samek, Wojciech and Müller, {Klaus-Robert} and Lapuschkin, Sebastian},
    title        = {Software for {dataset-wide} {XAI}},
    subtitle     = {From local explanations to global insights with Zennit, {CoRelAy}, and {ViRelAy}},
    date         = {2026-01-02},
    doi          = {10.1371/journal.pone.0336683},
    journaltitle = {{PLOS ONE}},
    issn         = {2331-8422},
    volume       = {21},
    number       = {1},
    pagetotal    = {38},
    publisher    = {Public Library of Science},
    address      = {1875 Mission Street Suite 103 #188 San Francisco, California 94103, United States of America}
}

@article{bibliography:a-privacy-preserving-system-for-movie-recommendations-using-federated-learning,
    author  = {Neumann, David and Lutz, Andreas and Müller, Karsten and Samek, Wojciech},
    title   = {A Privacy Preserving System for Movie Recommendations Using Federated Learning},
    year    = {2024},
    month   = nov,
    journal = {ACM Transactions on Recommender Systems ({TORS})},
    volume  = {3},
    number  = {2},
    pages   = {1--51}
}

@article{bibliography:a-privacy-preserving-system-for-movie-recommendations-using-federated-learning,
    author       = {Neumann, David and Lutz, Andreas and Müller, Karsten and Samek, Wojciech},
    title        = {A Privacy Preserving System for Movie Recommendations Using Federated Learning},
    date         = {2024-11-27},
    doi          = {10.1145/3634686},
    journaltitle = {ACM Transactions on Recommender Systems},
    shortjournal = {{TORS}},
    issn         = {2770-6699},
    volume       = {3},
    number       = {2},
    issue        = {June 2025},
    issuetitle   = {Special Issue on Trustworthy Recommender Systems},
    eid          = {14},
    pagetotal    = {51},
    publisher    = {Association for Computing Machinery ({ACM})},
    address      = {1601 Broadway, {10th} Floor, New York City, New York 10019-7434, United States of America}
}

@article{bibliography:finding-and-removing-clever-hans,
    author  = {Anders, Christopher J. and Weber, Leander and Neumann, David and Samek, Wojciech and Müller, {Klaus-Robert} and Lapuschkin, Sebastian},
    title   = {Finding and removing Clever Hans: Using explanation methods to debug and improve deep models},
    year    = {2021},
    month   = aug,
    journal = {Information Fusion},
    volume  = {77},
    pages   = {261--295}
}

@article{bibliography:finding-and-removing-clever-hans,
    author       = {Anders, Christopher J. and Weber, Leander and Neumann, David and Samek, Wojciech and Müller, {Klaus-Robert} and Lapuschkin, Sebastian},
    title        = {Finding and removing Clever Hans},
    subtitle     = {Using explanation methods to debug and improve deep models},
    date         = {2021-08-03},
    doi          = {10.1016/j.inffus.2021.07.015},
    journaltitle = {Information Fusion},
    issn         = {1566-2535},
    volume       = {77},
    pages        = {261--295},
    pagetotal    = {35},
    publisher    = {Elsevier Science Publishers B. V.},
    address      = {Radarweg 29, 1043 Amsterdam, Netherlands}
}

@article{bibliography:risk-estimation-of-sars-cov-2-transmission-from-bluetooth-low-energy-measurements,
    author  = {Sattler, Felix and Ma, Jackie and Wagner, Patrick and Neumann, David and Wenzel, Markus and Schäfer, Ralf and Samek, Wojciech and Müller, {Klaus-Robert} and Wiegand, Thomas},
    title   = {Risk estimation of {SARS-CoV-2} transmission from bluetooth low energy measurements},
    year    = {2020},
    month   = oct,
    journal = {{npj} Digital Medicine},
    volume  = {3},
    number  = {1},
    pages   = {129--132}
}

@article{bibliography:risk-estimation-of-sars-cov-2-transmission-from-bluetooth-low-energy-measurements,
    author       = {Sattler, Felix and Ma, Jackie and Wagner, Patrick and Neumann, David and Wenzel, Markus and Schäfer, Ralf and Samek, Wojciech and Müller, {Klaus-Robert} and Wiegand, Thomas},
    title        = {Risk estimation of {SARS-CoV-2} transmission from bluetooth low energy measurements},
    date         = {2020-10-06},
    doi          = {10.1038/s41746-020-00340-0},
    journaltitle = {{npj} Digital Medicine},
    shortjournal = {{npj} Digit. Med.},
    issn         = {2398-6352},
    volume       = {3},
    number       = {1},
    pages        = {129},
    pagetotal    = {4},
    publisher    = {Springer Portfolio},
    address      = {The Campus, 4 Crinan Street, {N1} {9XW} - London, United Kingdom}
}

@inproceedings{bibliography:deepcabac-plug-and-play-compression-of-neural-network-weights-and-weight-updates,
    author       = {Neumann, David and Sattler, Felix and Kirchhoffer, Heiner and Wiedemann, Simon and Müller, Karsten and Schwarz, Heiko and Wiegand, Thomas and Marpe, Detlev and Samek, Wojciech},
    title        = {{DeepCABAC}: {Plug\&Play} Compression of Neural Network Weights and Weight Updates},
    year         = {2020},
    month        = {sep},
    series       = {International Conference on Image Processing ({ICIP})},
    booktitle    = {2020 {IEEE} International Conference on Image Processing -- Proceedings},
    pages        = {21--25},
    organization = {{IEEE} Signal Processing Society},
    publisher    = {Institute of Electrical and Electronics Engineers ({IEEE})},
    address      = {3 Park Avenue, {17th} Floor, New York City, New York 10016-5997, United States of America}
}

@inproceedings{bibliography:deepcabac-plug-and-play-compression-of-neural-network-weights-and-weight-updates,
    author          = {Neumann, David and Sattler, Felix and Kirchhoffer, Heiner and Wiedemann, Simon and Müller, Karsten and Schwarz, Heiko and Wiegand, Thomas and Marpe, Detlev and Samek, Wojciech},
    title           = {{DeepCABAC}},
    subtitle        = {{Plug\&Play} Compression of Neural Network Weights and Weight Updates},
    date            = {2020-09-30},
    doi             = {10.1109/ICIP40778.2020.9190821},
    booktitle       = {2020 {IEEE} International Conference on Image Processing},
    booksubtitle    = {Proceedings},
    issn            = {2381-8549},
    pages           = {21--25},
    pagetotal       = {5},
    isbn            = {978-1-7281-6395-6},
    eventtitle      = {2020 International Conference on Image Processing},
    eventtitleaddon = {{ICIP}},
    eventdate       = {2020-10-25/2020-10-28},
    venue           = {Virtual Conference (Abu Dhabi, United Arab Emirates)},
    organization    = {{IEEE} Signal Processing Society},
    publisher       = {Institute of Electrical and Electronics Engineers ({IEEE})},
    address         = {3 Park Avenue, {17th} Floor, New York City, New York 10016-5997, United States of America}
}

@inproceedings{bibliography:xai-for-analyzing-and-unlearning-spurious-correlations-in-imagenet,
    author       = {Anders, Christopher J. and Neumann, David and Marinč, Talmaj and Samek, Wojciech and Müller, {Klaus-Robert} and Lapuschkin, Sebastian},
    title        = {{XAI} for Analyzing and Unlearning Spurious Correlations in {ImageNet}},
    year         = {2020},
    month        = jul,
    series       = {International Conference on Machine Learning ({ICML})},
    booktitle    = {XXAI: Extending Explainable AI Beyond Deep Models and Classifiers},
    pages        = {1--17},
    organization = {{Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, HHI} and {Medical University Graz} and {University of Oxford} and {Sungkyunkwan University} and {Technical University of Berlin} and Google},
    note         = {Workshop papers are not published in official proceedings.}
}

@inproceedings{bibliography:xai-for-analyzing-and-unlearning-spurious-correlations-in-imagenet,
    author         = {Anders, Christopher J. and Neumann, David and Marinč, Talmaj and Samek, Wojciech and Müller, {Klaus-Robert} and Lapuschkin, Sebastian},
    title          = {{XAI} for Analyzing and Unlearning Spurious Correlations in {ImageNet}},
    date           = {2020-07-17},
    maintitle      = {2020 International Conference on Machine Learning},
    maintitleaddon = {ICML},
    pagetotal      = {17},
    eventtitle     = {XXAI: Extending Explainable AI Beyond Deep Models and Classifiers},
    eventdate      = {2020-07-17},
    organization   = {{Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, HHI} and {Medical University Graz} and {University of Oxford} and {Sungkyunkwan University} and {Technical University of Berlin} and Google},
    url            = {http://interpretable-ml.org/icml2020workshop/pdf/11.pdf},
    urldate        = {2024-09-18},
    pubstate       = {Workshop papers are not published in official proceedings.}
}

@article{bibliography:deepcabac-a-universal-compression-algorithm-for-deep-neural-networks,
    author  = {Wiedemann, Simon and Kirchhoffer, Heiner and Matlage, Stefan and Haase, Paul and {Marbán González}, Arturo and Marinč, Talmaj and Neumann, David and Nguyen, Tung and Schwarz, Heiko and Wiegand, Thomas and Marpe, Detlev and Samek, Wojciech},
    title   = {{DeepCABAC}: A Universal Compression Algorithm for Deep Neural Networks},
    year    = {2020},
    month   = jan,
    journal = {{IEEE} Journal of Selected Topics in Signal Processing ({J-STSP})},
    volume  = {14},
    number  = {4},
    pages   = {700--714}
}

@article{bibliography:deepcabac-a-universal-compression-algorithm-for-deep-neural-networks,
    author       = {Wiedemann, Simon and Kirchhoffer, Heiner and Matlage, Stefan and Haase, Paul and {Marbán González}, Arturo and Marinč, Talmaj and Neumann, David and Nguyen, Tung and Schwarz, Heiko and Wiegand, Thomas and Marpe, Detlev and Samek, Wojciech},
    title        = {{DeepCABAC}},
    subtitle     = {A Universal Compression Algorithm for Deep Neural Networks},
    date         = {2020-01-27},
    doi          = {10.1109/JSTSP.2020.2969554},
    journaltitle = {{IEEE} Journal of Selected Topics in Signal Processing},
    shortjournal = {{J-STSP}},
    issn         = {1941-0484},
    volume       = {14},
    number       = {4},
    issue        = {{May-2020}},
    pages        = {700--714},
    pagetotal    = {15},
    organization = {{IEEE} Signal Processing Society},
    publisher    = {Institute of Electrical and Electronics Engineers ({IEEE})},
    address      = {3 Park Avenue, {17th} Floor, New York City, New York 10016-5997, United States of America}
}

@article{bibliography:deepcabac-context-adaptive-binary-arithmetic-coding-for-deep-neural-network-compression,
    author        = {Wiedemann, Simon and Kirchhoffer, Heiner and Matlage, Stefan and Haase, Paul and {Marbán González}, Arturo and Marinč, Talmaj and Neumann, David and Osman, Ahmed and Marpe, Detlev and Schwarz, Heiko and Wiegand, Thomas and Samek, Wojciech},
    title         = {{DeepCABAC}: {Context-adaptive} binary arithmetic coding for deep neural network compression},
    year          = {2019},
    month         = may,
    journal       = {Computer Research Repository ({CoRR})},
    archiveprefix = {arXiv},
    primaryclass  = {cs.AI},
    pages         = {1--4},
    eprint        = {1905.08318v1},
    note          = {Presented at the Joint Workshop on {On-Device} Machine Learning and Compact Deep Neural Network Representations ({ODML-CDNNR}) at the 2019 International Conference on Machine Learning ({ICML})},
}

@article{bibliography:deepcabac-context-adaptive-binary-arithmetic-coding-for-deep-neural-network-compression,
    author       = {Wiedemann, Simon and Kirchhoffer, Heiner and Matlage, Stefan and Haase, Paul and {Marbán González}, Arturo and Marinč, Talmaj and Neumann, David and Osman, Ahmed and Marpe, Detlev and Schwarz, Heiko and Wiegand, Thomas and Samek, Wojciech},
    title        = {{DeepCABAC}},
    subtitle     = {Context-adaptive binary arithmetic coding for deep neural network compression},
    date         = {2019-05-15},
    doi          = {10.48550/arXiv.1905.08318},
    journaltitle = {Computer Research Repository},
    shortjournal = {{CoRR}},
    issn         = {2331-8422},
    pagetotal    = {4},
    eprinttype   = {arXiv},
    eprint       = {1905.08318v1},
    eprintclass  = {cs.AI},
    addendum     = {Presented at the Joint Workshop on {On-Device} Machine Learning and Compact Deep Neural Network Representations ({ODML-CDNNR}) at the 2019 International Conference on Machine Learning ({ICML})}
}