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Jonas Wahl
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2020 – today
- 2024
- [c5]Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge:
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. CLeaR 2024: 843-867 - [i5]Christopher Lohse, Jonas Wahl:
Sortability of Time Series Data. CoRR abs/2407.13313 (2024) - 2023
- [c4]Jonas Wahl, Urmi Ninad, Jakob Runge:
Vector Causal Inference between Two Groups of Variables. AAAI 2023: 12305-12312 - [c3]Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge:
Increasing effect sizes of pairwise conditional independence tests between random vectors. UAI 2023: 879-889 - [i4]Andreas Gerhardus, Jonas Wahl, Sofia Faltenbacher, Urmi Ninad, Jakob Runge:
Projecting infinite time series graphs to finite marginal graphs using number theory. CoRR abs/2310.05526 (2023) - [i3]Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge:
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. CoRR abs/2311.02695 (2023) - [i2]Simon Bing, Jonas Wahl, Urmi Ninad, Jakob Runge:
Invariance & Causal Representation Learning: Prospects and Limitations. CoRR abs/2312.03580 (2023) - 2022
- [j1]Jonas Wahl
:
Where are all the guns? Modeling firearm ownership in the United States. Patterns 3(8): 100571 (2022) - [c2]Wiebke Günther, Urmi Ninad, Jonas Wahl, Jakob Runge:
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. NeurIPS 2022 - 2021
- [c1]Markus Langer, Kevin Baum
, Kathrin Hartmann, Stefan Hessel, Timo Speith
, Jonas Wahl
:
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. RE Workshops 2021: 164-168 - [i1]Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl:
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. CoRR abs/2108.07711 (2021)
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