Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. - Markus Langer; Kevin Baum 001; Kathrin Hartmann; Stefan Hessel; Timo Speith; Jonas Wahl (RE Workshops, 2021)

Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. - Wiebke Günther; Urmi Ninad; Jonas Wahl; Jakob Runge (NeurIPS, 2022)

Where are all the guns? Modeling firearm ownership in the United States. - Jonas Wahl (Patterns, 2022)

Vector Causal Inference between Two Groups of Variables. - Jonas Wahl; Urmi Ninad; Jakob Runge (AAAI, 2023)

Increasing effect sizes of pairwise conditional independence tests between random vectors. - Tom Hochsprung; Jonas Wahl; Andreas Gerhardus; Urmi Ninad; Jakob Runge (UAI, 2023)

Projecting infinite time series graphs to finite marginal graphs using number theory. - Andreas Gerhardus; Jonas Wahl; Sofia Faltenbacher; Urmi Ninad; Jakob Runge (CoRR, 2023)

Invariance & Causal Representation Learning: Prospects and Limitations. - Simon Bing; Jonas Wahl; Urmi Ninad; Jakob Runge (CoRR, 2023)

Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. - Simon Bing; Urmi Ninad; Jonas Wahl; Jakob Runge (CLeaR, 2024)

Sortability of Time Series Data. - Christopher Lohse; Jonas Wahl (CoRR, 2024)

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. - Philippe Brouillard; Chandler Squires; Jonas Wahl; Konrad P. Kording; Karen Sachs; Alexandre Drouin; Dhanya Sridhar (CoRR, 2024)

Causal Inference for Spatial Data Analytics (Dagstuhl Seminar 24202). - Martin Tomko; Yanan Xin 001; Jonas Wahl (Dagstuhl Reports, 2024)

Invariance & Causal Representation Learning: Prospects and Limitations. - Simon Bing; Tom Hochsprung; Jonas Wahl; Urmi Ninad; Jakob Runge (Trans. Mach. Learn. Res., 2024)

Separation-Based Distance Measures for Causal Graphs. - Jonas Wahl; Jakob Runge (AISTATS, 2025)

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. - Philippe Brouillard; Chandler Squires; Jonas Wahl; Konrad K; Karen Sachs; Alexandre Drouin; Dhanya Sridhar (CLeaR, 2025)

Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery. - Rebecca Herman; Jonas Wahl; Urmi Ninad; Jakob Runge (CLeaR, 2025)

Internal Incoherency Scores for Constraint-based Causal Discovery Algorithms. - Sofia Faltenbacher; Jonas Wahl; Rebecca Herman; Jakob Runge (CoRR, 2025)

When Counterfactual Reasoning Fails: Chaos and Real-World Complexity. - Yahya Aalaila; Gerrit Großmann; Sumantrak Mukherjee; Jonas Wahl; Sebastian J. Vollmer (CoRR, 2025)