Causal Models and Representations

@inproceedings{faltenbacherHowPCBasedMethodsErr2026,
 author = {Faltenbacher, Sofia and Wahl, Jonas and Herman, Rebecca Jean and Runge, Jakob},
 booktitle = {Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence},
 editor = {Perković, Emilija and Malinsky, Daniel},
 month = {Aug},
 pages = {1498--1519},
 pdf = {https://raw.githubusercontent.com/mlresearch/v337/main/assets/faltenbacher26a/faltenbacher26a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors},
 url = {https://proceedings.mlr.press/v337/faltenbacher26a.html},
 volume = {337},
 year = {2026}
}

@article{aalailaChaoticAndComplexDynamics2026,
 author = {Yahya Aalaila and Gerrit Großmann and Sumantrak Mukherjee and Jonas Wahl and Sebastian Vollmer},
 doi = {10.1038/s41598-026-52349-2},
 journal = {Scientific Reports (Sci Rep)},
 month = {6},
 number = {1},
 pages = {1-14},
 publisher = {Springer Nature},
 title = {Chaotic and complex dynamics expose the limits of counterfactual reasoning},
 url = {https://www.nature.com/articles/s41598-026-52349-2},
 volume = {16},
 year = {2026}
}

@article{reiterCausalInferenceOnProcess2026,
 author = {Nicolas-Domenic Reiter and Jonas Wahl and Andreas Gerhardus and Jakob Runge},
 doi = {10.3150/25-BEJ1909},
 journal = {Bernoulli},
 month = {5},
 number = {2},
 pages = {1356-1382},
 publisher = {Bernoulli Society for Mathematical Statistics and Probability},
 title = {Causal inference on process graphs: Causal structure and effect identification},
 url = {https://www.dfki.de/fileadmin/user_upload/import/16775_casual_inference_on_process_graphs.pdf},
 volume = {32},
 year = {2026}
}

@article{lohseSortabilityOfTimeSeries2025,
 author = {Christopher Lohse and Jonas Wahl},
 editor = {Adam Arany},
 journal = {Transactions on Machine Learning Research (TMLR)},
 month = {7},
 pages = {---},
 publisher = {-},
 title = {Sortability of Time Series Data},
 url = {https://openreview.net/forum?id=OGvmCpcHdV},
 volume = {-},
 year = {2025}
}

@inproceedings{bingStructuralCausalBottleneckModels2025,
 author = {Simon Bing and Jonas Wahl and Jakob Runge},
 booktitle = {UAI 2025 Workshop on Causal Abstractions and Representations. Causal Abstractions and Representations (CAR), located at UAI 2025, July 25, Rio de Janeiro, Brazil},
 month = {6},
 publisher = {OpenReview},
 title = {Structural Causal Bottleneck Models},
 url = {https://openreview.net/forum?id=EFNvKMSITB},
 year = {2025}
}

@inproceedings{wahlSeparationBasedDistanceMeasuresFor2025,
 author = {Jonas Wahl and Jakob Runge},
 booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2025), May 3-5, Mai Khao, Thailand},
 pages = {3412-3420},
 publisher = {Proceedings of Machine Learning Research},
 title = {Separation-Based Distance Measures for Causal Graphs},
 url = {https://proceedings.mlr.press/v258/wahl25b.html},
 volume = {258},
 year = {2025}
}

@inproceedings{brouillardTheLandscapeOfCausal2025,
 author = {Philippe Brouillard and Chandler Squires and Jonas Wahl and Konrad Körding and Karen Sachs and Alexandre Drouin and Dhanya Sridhar},
 booktitle = {Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025)},
 organization = {PMLR},
 pages = {834-873},
 publisher = {MLResearchPress},
 title = {The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications},
 url = {https://proceedings.mlr.press/v275/brouillard25a},
 volume = {275},
 year = {2025}
}

@inproceedings{hermanUnitlessUnrestrictedMarkovConsistentSCM2025,
 author = {Rebecca J Herman and Jonas Wahl and Urmi Ninad and Jakob Runge},
 booktitle = {Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025)},
 pages = {1506-1531},
 publisher = {MLResearchPress},
 title = {Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery},
 url = {https://proceedings.mlr.press/v275/herman25a.html},
 volume = {275},
 year = {2025}
}

@inproceedings{finkbeinerCounterfactualExplanationsForMITL2024,
 author = {Bernd Finkbeiner and Felix Jahn and Julian Siber},
 booktitle = {44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024). IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS-2024), December 16-18},
 doi = {10.4230/LIPIcs.FSTTCS.2024.22},
 editor = {Siddharth Barman and Slawomir Lasota},
 isbn = {978-3-95977-355-3},
 month = {12},
 pages = {22:1-22:25},
 publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany},
 series = {Leibniz International Proceedings in Informatics, LIPIcs},
 title = {Counterfactual Explanations for MITL Violations},
 volume = {323},
 year = {2024}
}

@article{baumActingForTheRight2024,
 author = {Kevin Baum and Lisa Dargasz and Felix Jahn and Timo P. Gros and Verena Wolf},
 doi = {arXiv:2409.15014},
 journal = {ArXiv e-prints (arxiv)},
 month = {9},
 pages = {1-10},
 publisher = {arXiv},
 title = {Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents},
 volume = {1},
 year = {2024}
}

@inproceedings{bingIdentifyingLinearlyMixedCausalRepresentations2024,
 author = {Simon Bing and Urmi Ninad and Jonas Wahl and Jakob Runge},
 booktitle = {Proceedings of the Third Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2024)},
 editor = {Francesco Locatello and Vanessa Didelez},
 month = {4},
 pages = {843-867},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions},
 url = {https://proceedings.mlr.press/v236/bing24a.html},
 volume = {236},
 year = {2024}
}

@article{tomkoCausalInferenceForSpatial2024,
 author = {Martin Tomko and Yanan Xin and Jonas Wahl},
 doi = {10.4230/DagRep.14.5.25},
 editor = {Martin Tomko and Yanan Xin and Jonas Wahl},
 journal = {Dagstuhl Reports},
 number = {5},
 pages = {25-57},
 publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany},
 title = {Causal Inference for Spatial Data Analytics (Dagstuhl Seminar 24202)},
 url = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.5.25},
 volume = {14},
 year = {2024}
}

@article{wahlVectorCausalInferenceBetween2023,
 author = {Jonas Wahl and Urmi Ninad and Jakob Runge},
 doi = {10.1609/aaai.v37i10.26450},
 journal = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
 month = {6},
 number = {10},
 pages = {12305-12312},
 publisher = {AAAI Press},
 title = {Vector Causal Inference between Two Groups of Variables},
 url = {https://ojs.aaai.org/index.php/AAAI/article/view/26450},
 volume = {37},
 year = {2023}
}

@inproceedings{forsterAComputationalCantorBernsteinAnd2023,
 author = {Yannick Forster and Felix Jahn and Gert Smolka},
 booktitle = {CPP '23: 12th ACM SIGPLAN International Conference on Certified Programs and Proofs. ACM SIGPLAN International Conference on Certified Programs and Proofs (CPP-2023), January 16-17, Boston,, MA, USA},
 doi = {10.1145/3573105.3575690},
 isbn = {979-8-4007-0026-2},
 month = {1},
 pages = {159-166},
 publisher = {ACM},
 title = {A Computational Cantor-Bernstein and Myhill's Isomorphism Theorem in Constructive Type Theory},
 url = {https://inria.hal.science/hal-03891390},
 year = {2023}
}

@inproceedings{forsterConstructiveAndSyntheticReducibility2023,
 author = {Yannick Forster and Felix Jahn},
 booktitle = {CSL 2023 - 31st EACSL Annual Conference on Computer Science Logic. EACSL Annual Conference on Computer Science Logic (CSL), Warsaw, Poland},
 doi = {10.4230/LIPIcs.CSL.2023.16},
 pages = {1-21},
 publisher = {Schloss Dagstuhl Leibniz-Zentrum für Informatik, Dagstuhl Publishing},
 title = {Constructive and Synthetic Reducibility Degrees: Post's Problem for Many-one and Truth-table Reducibility in Coq},
 url = {https://inria.hal.science/hal-03901942},
 year = {2023}
}

@article{wahlWhereAreAllThe2022,
 author = {Jonas Wahl},
 doi = {10.1016/j.patter.2022.100571},
 journal = {Patterns},
 month = {8},
 number = {8},
 pages = {1-2},
 publisher = {Elsevier},
 title = {Where are all the guns? Modeling firearm ownership in the United States},
 url = {https://www.cell.com/patterns/fulltext/S2666-3899(22)00182-9},
 volume = {3},
 year = {2022}
}

@article{wahlTracesOnDiagramAlgebras2022,
 author = {Jonas Wahl},
 doi = {10.1112/jlms.12562},
 journal = {Journal of the London Mathematical Society},
 month = {3},
 number = {4},
 pages = {2324-2372},
 publisher = {John Wiley & Sons, Ltd},
 title = {Traces on diagram algebras I: Free partition quantum groups, random lattice paths and random walks on trees},
 url = {https://londmathsoc.onlinelibrary.wiley.com/doi/full/10.1112/jlms.12562},
 volume = {105},
 year = {2022}
}

@inproceedings{guntherConditionalIndependenceTestingWith2022,
 author = {Wiebke Günther and Urmi Ninad and Jonas Wahl and Jakob Runge},
 booktitle = {Advances in Neural Information Processing Systems 35. Neural Information Processing Systems (NeurIPS-2022), 36th Conference, November 28 - December 9},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 isbn = {9781713871088},
 pages = {16191-16202},
 publisher = {Curran Associates, Inc.},
 title = {Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery},
 url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/6739d8df16b5bce3587ca5f18662a6aa-Paper-Conference.pdf},
 year = {2022}
}

@phdthesis{wahlNonsingularBernoulliActionsQuantum2018,
 author = {Jonas Wahl},
 month = {6},
 school = {ARENBERG DOCTORAL SCHOOL Faculty of Science},
 title = {Nonsingular Bernoulli actions & quantum symmetries},
 type = {PhD-Thesis},
 url = {https://www.dfki.de/fileadmin/user_upload/import/17047_thesis_(1).pdf},
 year = {2018}
}

@article{wahlANoteOnReduced2015,
\wr_{\ast} S_N^+$, where $\mathbb{G}$ is a compact matrix quantum group. Based on recent results on their corepresentation theory by Lemeux and Tarrago in [Lemeux and Tarrago (2014)], we prove that $\mathbb{G} \wr_{\ast} S_N^+$ is of Kac type whenever $\mathbb{G}$ is, and that the reduced version of $\mathbb{G} \wr_{\ast} S_N^+$ is simple with unique trace state whenever $N \geq 8$. Moreover, we prove that the reduced von Neumann algebra of $\mathbb{G} \wr_{\ast} S_N^+$ does not have property $\Gamma$.},
 author = {Jonas Wahl},
 doi = {10.1215/ijm/1475266409},
 journal = {Illinois Journal of Mathematics (IJM)},
 number = {3},
 pages = {801-817},
 publisher = {Duke University Press (im Auftrag der University of Illinois)},
 title = {A note on reduced and von Neumann algebraic free wreath products},
 url = {https://projecteuclid.org/journals/illinois-journal-of-mathematics/volume-59/issue-3/A-note-on-reduced-and-von-Neumann-algebraic-free-wreath/10.1215/ijm/1475266409.full},
 volume = {59},
 year = {2015}
}