Wahl, Jonas

11 publications

AISTATS 2025 Separation-Based Distance Measures for Causal Graphs Jonas Wahl, Jakob Runge

TMLR 2025 Sortability of Time Series Data Christopher Lohse, Jonas Wahl

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

ICLRW 2025 The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar

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

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

TMLR 2024 Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing, Tom Hochsprung, Jonas Wahl, Urmi Ninad, Jakob Runge

UAI 2023 Increasing Effect Sizes of Pairwise Conditional Independence Tests Between Random Vectors Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge

NeurIPSW 2023 Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing, Jonas Wahl, Urmi Ninad, Jakob Runge

AAAI 2023 Vector Causal Inference Between Two Groups of Variables Jonas Wahl, Urmi Ninad, Jakob Runge

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