Andreas Gerhardus

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Confidence Measures

Conditional Independence

Top Venues

Publications

Kevin Debeire, Andreas Gerhardus, Jakob Runge, Veronika Eyring
Bootstrap aggregation and confidence measures to improve time series causal discovery. CLeaR (2024)
Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge
Increasing effect sizes of pairwise conditional independence tests between random vectors. UAI (2023)
Andreas Gerhardus, Jonas Wahl, Sofia Faltenbacher, Urmi Ninad, Jakob Runge
Projecting infinite time series graphs to finite marginal graphs using number theory. CoRR (2023)
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 (2023)
Oana-Iuliana Popescu, Andreas Gerhardus, Jakob Runge
Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation. CoRR (2023)
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 (2023)
Andreas Gerhardus
Characterization of causal ancestral graphs for time series with latent confounders. CoRR (2021)
Andreas Gerhardus, Jakob Runge
High-recall causal discovery for autocorrelated time series with latent confounders. NeurIPS (2020)
Andreas Gerhardus, Jakob Runge
High-recall causal discovery for autocorrelated time series with latent confounders. CoRR (2020)