groupICA: Independent component analysis for grouped data. - Niklas Pfister; Sebastian Weichwald; Peter Bühlmann; Bernhard Schölkopf (CoRR, 2018)

Identifying Causal Structure in Large-Scale Kinetic Systems. - Niklas Pfister; Stefan Bauer; Jonas Peters (CoRR, 2018)

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise. - Niklas Pfister; Sebastian Weichwald; Peter Bühlmann; Bernhard Schölkopf (J. Mach. Learn. Res., 2019)

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. - Sebastian Weichwald; Søren Wengel Mogensen; Tabitha Edith Lee; Dominik Baumann; Oliver Kroemer; Isabelle Guyon; Sebastian Trimpe; Jonas Peters; Niklas Pfister (NeurIPS (Competition and Demos), 2021)

Causal Models for Dynamical Systems. - Jonas Peters; Stefan Bauer; Niklas Pfister (Probabilistic and Causal Inference, 2022)

Exploiting Independent Instruments: Identification and Distribution Generalization. - Sorawit Saengkyongam; Leonard Henckel; Niklas Pfister; Jonas Peters (ICML, 2022)

Identifiability of sparse causal effects using instrumental variables. - Niklas Pfister; Jonas Peters (UAI, 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)

Interpreting tree ensemble machine learning models with endoR. - Albane Ruaud; Niklas Pfister; Ruth E. Ley; Nicholas D. Youngblut (PLoS Comput. Biol., 2022)

Boosted Control Functions. - Nicola Gnecco; Jonas Peters; Sebastian Engelke; Niklas Pfister (CoRR, 2023)

Supervised learning and model analysis with compositional data. - Shimeng Huang; Elisabeth Ailer; Niki Kilbertus; Niklas Pfister (PLoS Comput. Biol., 2023)

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

Identifying Representations for Intervention Extrapolation. - Sorawit Saengkyongam; Elan Rosenfeld; Pradeep Kumar Ravikumar; Niklas Pfister; Jonas Peters (ICLR, 2024)

Invariant Subspace Decomposition. - Margherita Lazzaretto; Jonas Peters; Niklas Pfister (CoRR, 2024)

Fast Estimation of Partial Dependence Functions using Trees. - Jinyang Liu; Tessa Steensgaard; Marvin N. Wright; Niklas Pfister; Munir Hiabu (CoRR, 2024)

Effect-Invariant Mechanisms for Policy Generalization. - Sorawit Saengkyongam; Niklas Pfister; Predrag Klasnja; Susan A. Murphy; Jonas Peters (J. Mach. Learn. Res., 2024)

Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding. - Shimeng Huang; Niklas Pfister; Jack Bowden (AISTATS, 2025)

Gandalf the Red: Adaptive Security for LLMs. - Niklas Pfister; Václav Volhejn; Manuel Knott 003; Santiago Arias; Julia Bazinska; Mykhailo Bichurin; Alan Commike; Janet Darling; Peter Dienes; Matthew Fiedler; David Haber; Matthias Kraft; et al. (CoRR, 2025)