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ORCIDAndreas Gerhardus
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- affiliation: German Aerospace Center, Jena, Thuringia, Germany
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Conference and Workshop Papers
- 2024
[c6]Kevin Debeire, Andreas Gerhardus, Jakob Runge, Veronika Eyring:
Bootstrap aggregation and confidence measures to improve time series causal discovery. CLeaR 2024: 979-1007- [c5]Lukas Heppel, Andreas Gerhardus, Ferdinand Rewicki, Jan Christian Deeken, Günther Waxenegger-Wilfing:
Leveraging Causal Information for Multivariate Timeseries Anomaly Detection. DX 2024: 11:1-11:18 - [c4]Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge:
Causal discovery with endogenous context variables. NeurIPS 2024 - [c3]Tom Hochsprung, Jakob Runge, Andreas Gerhardus:
A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs. UAI 2024: 1698-1726 - 2023
- [c2]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 - 2020
- [c1]Andreas Gerhardus, Jakob Runge:
High-recall causal discovery for autocorrelated time series with latent confounders. NeurIPS 2020
Informal and Other Publications
- 2025
- [i9]Tom Hochsprung, Jakob Runge, Andreas Gerhardus:
Using Time Structure to Estimate Causal Effects. CoRR abs/2504.11076 (2025) - 2024
- [i8]Martin Rabel, Wiebke Günther, Jakob Runge, Andreas Gerhardus:
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support. CoRR abs/2410.20405 (2024) - [i7]Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge:
Causal discovery with endogenous context variables. CoRR abs/2412.04981 (2024) - 2023
- [i6]Saranya Ganesh S., Tom Beucler, Frederick Iat-Hin Tam, Milton S. Gomez, Jakob Runge, Andreas Gerhardus:
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery. CoRR abs/2304.05294 (2023) - [i5]Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge:
Discovering Causal Relations and Equations from Data. CoRR abs/2305.13341 (2023) - [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]Oana-Iuliana Popescu, Andreas Gerhardus, Jakob Runge:
Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation. CoRR abs/2310.11132 (2023) - 2021
- [i2]Andreas Gerhardus:
Characterization of causal ancestral graphs for time series with latent confounders. CoRR abs/2112.08417 (2021) - 2020
- [i1]Andreas Gerhardus, Jakob Runge:
High-recall causal discovery for autocorrelated time series with latent confounders. CoRR abs/2007.01884 (2020)
Coauthor Index
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