Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. - Sebastian Weichwald; Martin Emil Jakobsen; Phillip B. Mogensen; Lasse Petersen; Nikolaj Thams; Gherardo Varando (NeurIPS (Competition and Demos), 2019)

Regularizing towards Causal Invariance: Linear Models with Proxies. - Michael Oberst; Nikolaj Thams; Jonas Peters; David A. Sontag (ICML, 2021)

Invariant Ancestry Search. - Phillip B. Mogensen; Nikolaj Thams; Jonas Peters (ICML, 2022)

Evaluating Robustness to Dataset Shift via Parametric Robustness Sets. - Nikolaj Thams; Michael Oberst; David A. Sontag (NeurIPS, 2022)

Invariant Policy Learning: A Causal Perspective. - Sorawit Saengkyongam; Nikolaj Thams; Jonas Peters; Niklas Pfister (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Local Independence Testing for Point Processes. - Nikolaj Thams; Niels Richard Hansen (IEEE Trans. Neural Networks Learn. Syst., 2024)