Causal effect estimation from observational and interventional data through matrix weighted linear estimators. - Klaus-Rudolf Kladny; Julius von Kügelgen; Bernhard Schölkopf; Michael Muehlebach (UAI, 2023)

Multi-agent actor-critic with time dynamical opponent model. - Yuan Tian 014; Klaus-Rudolf Kladny; Qin Wang 013; Zhiwu Huang; Olga Fink (Neurocomputing, 2023)

Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data. - Klaus-Rudolf Kladny; Marco Milanta; Oto Mraz; Koen Hufkens; Benjamin D. Stocker (Ecol. Informatics, 2024)

Deep Backtracking Counterfactuals for Causally Compliant Explanations. - Klaus-Rudolf Kladny; Julius von Kügelgen; Bernhard Schölkopf; Michael Muehlebach (Trans. Mach. Learn. Res., 2024)

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering. - Klaus-Rudolf Kladny; Bernhard Schölkopf; Michael Muehlebach (ICLR, 2025)