Increasing effect sizes of pairwise conditional independence tests between random vectors. - Tom Hochsprung; Jonas Wahl; Andreas Gerhardus; Urmi Ninad; Jakob Runge (UAI, 2023)

A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs. - Tom Hochsprung; Jakob Runge; Andreas Gerhardus (UAI, 2024)

Invariance & Causal Representation Learning: Prospects and Limitations. - Simon Bing; Tom Hochsprung; Jonas Wahl; Urmi Ninad; Jakob Runge (Trans. Mach. Learn. Res., 2024)

Using Time Structure to Estimate Causal Effects. - Tom Hochsprung; Jakob Runge; Andreas Gerhardus (CoRR, 2025)