971 citations · 1k across the 3 of their papers we have counts for
3 papers
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
Philine Bommer, Marlene Kretschmer, Anna Hedström +2
Explainable artificial intelligence (XAI) methods shed light on the predictions of machine learning algorithms. Several different approaches exist and have already been applied in…
Reconstructing regime-dependent causal relationships from observational time series
Elena Saggioro, Jana de Wiljes, Marlene Kretschmer +1
Inferring causal relations from observational time series data is a key problem across science and engineering whenever experimental interventions are infeasible or unethical. Incr…
Detecting causal associations in large nonlinear time series datasets
Jakob Runge, Peer Nowack, Marlene Kretschmer +2
Identifying causal relationships from observational time series data is a key problem in disciplines such as climate science or neuroscience, where experiments are often not possib…