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Andreas Gerhardus

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affiliation: German Aerospace Center, Jena, Thuringia, Germany

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2020 – today

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2023
[c2]
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  - conf/uai/HochsprungWGNR23
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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
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  - journals/corr/abs-2304-05294
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  - https://dblp.org/rec/journals/corr/abs-2304-05294
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)
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  - journals/corr/abs-2305-13341
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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)
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  - journals/corr/abs-2310-05526
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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)
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  - journals/corr/abs-2310-11132
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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
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  - journals/corr/abs-2112-08417
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Andreas Gerhardus:
Characterization of causal ancestral graphs for time series with latent confounders. CoRR abs/2112.08417 (2021)
2020
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  - conf/nips/GerhardusR20
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Andreas Gerhardus, Jakob Runge:
High-recall causal discovery for autocorrelated time series with latent confounders. NeurIPS 2020
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  - journals/corr/abs-2007-01884
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Andreas Gerhardus, Jakob Runge:
High-recall causal discovery for autocorrelated time series with latent confounders. CoRR abs/2007.01884 (2020)

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