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content/publications.md

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static/research/Adamer24a.bib

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doi = {10.1007/s41468-024-00182-9},
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eprint = {2110.15188},
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journal = {Journal of Applied and Computational Topology},
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keywords = {TOP-IF},
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number = {3},
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pages = {447--473},
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primaryclass = {cs.LG},

static/research/Alain24a.bib

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@inproceedings{Alain24a,
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author = {Mathieu Alain and So Takao and Bastian Rieck and Xiaowen Dong and Emmanuel Noutahi},
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author+an = {3=highlight},
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booktitle = {`Bayesian Decision-Making and Uncertainty' Workshop at NeurIPS},
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booktitle = {``Bayesian Decision-Making and Uncertainty'' Workshop at NeurIPS},
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title = {Graph Classification Gaussian Processes via Hodgelet Spectral Features},
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url = {https://openreview.net/forum?id=zgLOn7f2Lp},
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year = {2024},

static/research/Amboage25a.bib

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@unpublished{Amboage25a,
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archiveprefix = {arXiv},
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author = {Juan Amboage and Ernst Röell and Patrick Schnider and Bastian Rieck},
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author+an = {4=highlight},
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eprint = {2510.00757},
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primaryclass = {cs.LG},
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title = {LEAP: Local ECT-Based Learnable Positional Encodings for Graphs},
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year = {2025},
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}

static/research/Bock19b.bib

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@inproceedings{Bock19b,
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author = {Christian Bock and Matteo Togninalli and Elisabetta Ghisu and Thomas Gumbsch and Bastian Rieck and Karsten Borgwardt},
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author+an = {1=first; 2=first; 5=highlight},
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booktitle = {`Optimal Transport \& Machine Learning' Workshop at NeurIPS},
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booktitle = {``Optimal Transport \& Machine Learning'' Workshop at NeurIPS},
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repository = {https://github.com/BorgwardtLab/WTK},
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title = {A {W}asserstein Subsequence Kernel for Time Series},
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url = {https://bastian.rieck.me/research/OTML2019_WTK.pdf},

static/research/Brueningk20a.bib

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archiveprefix = {arXiv},
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author = {Sarah C. Brüningk and Felix Hensel and Catherine R. Jutzeler and Bastian Rieck},
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author+an = {1=first; 2=first; 3=last; 4=last,highlight},
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booktitle = {`Machine Learning for Health~(ML4H)' Workshop at NeurIPS},
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booktitle = {``Machine Learning for Health~(ML4H)'' Workshop at NeurIPS},
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eprint = {2011.06531},
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primaryclass = {cs.LG},
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repository = {https://github.com/BorgwardtLab/TDA-CNN-AD},

static/research/Brueningk20b.bib

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@inproceedings{Brueningk20b,
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author = {Sarah C. Brüningk and Felix Hensel and Catherine R. Jutzeler and Bastian Rieck},
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author+an = {1=first; 2=first; 3=last; 4=last,highlight},
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booktitle = {`Medical Imaging meets NeurIPS' Workshop at NeurIPS},
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booktitle = {``Medical Imaging meets NeurIPS'' Workshop at NeurIPS},
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title = {Scalable Solutions for {MR} Image Classification of {A}lzheimer's Disease},
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year = {2020},
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}

static/research/Coupette25a.bib

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author = {Corinna Coupette and Jeremy Wayland and Emily Simons and Bastian Rieck},
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author+an = {1=first; 2=first; 4=highlight},
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booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
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editor = {Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry},
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eprint = {2502.02379},
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keywords = {CORE-A*},
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pages = {11405--11434},
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primaryclass = {cs.LG},
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publisher = {PMLR},
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pubstate = {inpress},
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repository = {https://github.com/aidos-lab/rings},
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series = {Proceedings of Machine Learning Research},
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title = {No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets},
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url = {https://proceedings.mlr.press/v267/coupette25a.html},
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volume = {267},
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year = {2025},
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}

static/research/Dyer22a.bib

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@inproceedings{Dyer22a,
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author = {Joel Dyer and John Fitzgerald and Bastian Rieck and Sebastian M. Schmon},
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author+an = {3=highlight},
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booktitle = {`Temporal Graph Learning' Workshop at NeurIPS},
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booktitle = {``Temporal Graph Learning'' Workshop at NeurIPS},
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title = {Approximate {B}ayesian Computation for Panel Data with Signature Maximum Mean Discrepancies},
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url = {https://openreview.net/pdf?id=Bol45H5FAc},
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year = {2022},

static/research/Gao21.bib

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@inproceedings{Gao21,
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author = {Feng Gao and Jessica Moore and Bastian Rieck and Valentina Greco and Smita Krishnaswamy},
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author+an = {3=highlight},
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booktitle = {`Geometrical and Topological Representation Learning' Workshop at ICLR},
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booktitle = {``Geometrical and Topological Representation Learning'' Workshop at ICLR},
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title = {Exploring epithelial-cell calcium signaling with geometric and topological data analysis},
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url = {https://openreview.net/forum?id=8V6vm_yuwEv},
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year = {2021},

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