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)

Distributional Robustness of K-class Estimators and the PULSE. - Martin Emil Jakobsen; Jonas Peters (CoRR, 2020)

Causality and Generalizability: Identifiability and Learning Methods. - Martin Emil Jakobsen (CoRR, 2021)

Structure Learning for Directed Trees. - Martin Emil Jakobsen; Rajen Dinesh Shah; Peter Bühlmann; Jonas Peters (J. Mach. Learn. Res., 2022)

A Causal Framework for Distribution Generalization. - Rune Christiansen; Niklas Pfister; Martin Emil Jakobsen; Nicola Gnecco; Jonas Peters (IEEE Trans. Pattern Anal. Mach. Intell., 2022)