- J. Wahl and J. Runge, Metrics on Markov Equivalence Classes for Evaluating Causal Discovery Algorithms, Preprint: arXiv:2402.04952, under review.
- S. Bing, U. Ninad*, J. Wahl*, and J. Runge, Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions, Preprint: arXiv:2311.02695, accepted for publication at
*Causal Learning and Reasoning (CLeaR) 2024*. - A. Gerhardus, J. Wahl, S. Faltenbacher, U. Ninad, and J. Runge, Projecting infinite time series graphs to finite marginal graphs using number theory, Preprint: arXiv:2310.05526, under review.
- J. Wahl, U. Ninad, and J. Runge, Foundations of Causal Discovery on Groups of Variables, Preprint: arXiv:2306.07047, under review.
- N.-D. Reiter, A. Gerhardus, J. Wahl, and J. Runge, Formalising causal inference in time and frequency on process graphs with latent components, Preprint: arXiv:2305.11561, under review.

- T. Hochsprung, J. Wahl*, A. Gerhardus*, U. Ninad* and J. Runge, Increasing Effect Sizes of Pairwise Conditional Independence Tests between Random Vectors.
*Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence*, PMLR 216:879-889, 2023. - J. Wahl*, U. Ninad* and J. Runge, Vector causal inference between two groups of variables.
*Proceedings of the AAAI Conference on Artificial Intelligence*, 37(10), 12305-12312, 2023. - W. Günther, U. Ninad*, J. Wahl* and J. Runge, Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery,
*Advances in Neural Information Processing Systems (NeurIPS)*35, 2022. - J. Wahl, Traces on Diagram Algebras II: Centralizer algebras of easy groups and new variations of the Young graph.
*Algebraic Combinatorics*5 (2022), no. 3, 413-436.

- J. Wahl, Traces On Diagram Algebras I: Free Partition Quantum Groups, Random Lattice Paths And Random Walks On Trees.
*Journal of the London Mathematical Society*105 (2022), no. 4, 2324-2372. - S. Vaes and J. Wahl, Bernoulli actions of type III_1 and L^2-cohomology,
*Geom. and Func. Anal. (GAFA)*28 (2018), 518–562.

- Y. Arano, T. de Laat and J. Wahl,The Fourier algebra of a rigid C*-tensor category,
*Publ. Res. Inst. Math. Sci.*54 (2018), no. 2, 393–410. - P. Tarrago and J. Wahl, Free wreath product quantum groups and standard invariants of subfactors,
*Advances in Mathematics*331 (2018), 1–57. - Y. Arano, T. de Laat and J. Wahl, Howe-Moore type theorems for quantum groups and C*-tensor categories,
*Compos. Math.*154 (2018), no. 2, 328–341. - J. Wahl, A note on reduced and von Neumann algebraic free wreath products,
*Illinois J. Math.*59 (2015) no. 3, 801–817.

- S. Bing, J. Wahl*, U. Ninad* and J. Runge, Invariance & Causal Representation Learning: Prospects and Limitations, accepted contribution to
*NeurIPS 2023 Workshop on Causal Representation Learning.* - M. Langer, K. Baum, K. Hartmann, S. Hessel, T. Speith, J. Wahl, Explainability auditing for intelligent systems: a rationale for multi-disciplinary perspectives.
*2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)*(2021), 164-168. - J. Wahl, Where are all the guns? Modeling firearm ownership in the United States.
*Patterns*3 (2022), no. 8, 100571.

This is a review article on a paper using causal inference techniques to model firearm ownership.