| 2024 | UAI | Targeted Reduction of Causal Models. | Armin Kekic, Bernhard Schlkopf, Michel Besserve |
| 2023 | ICLR | Structure by Architecture: Structured Representations without Regularization. | Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schlkopf |
| 2023 | ICML | Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. | Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schlkopf |
| 2022 | UAI | Learning soft interventions in complex equilibrium systems. | Michel Besserve, Bernhard Schlkopf |
| 2021 | AAAI | A Theory of Independent Mechanisms for Extrapolation in Generative Models. | Michel Besserve, Rmy Sun, Dominik Janzing, Bernhard Schlkopf |
| 2020 | ICLR | Counterfactuals uncover the modular structure of deep generative models. | Michel Besserve, Arash Mehrjou, Rmy Sun, Bernhard Schlkopf |
| 2019 | UAI | Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. | Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schlkopf |
| 2018 | AISTATS | Group invariance principles for causal generative models. | Michel Besserve, Naji Shajarisales, Bernhard Schlkopf, Dominik Janzing |
| 2015 | ICML | Telling cause from effect in deterministic linear dynamical systems. | Naji Shajarisales, Dominik Janzing, Bernhard Schlkopf, Michel Besserve |
| 2011 | ICASSP | Finding dependencies between frequencies with the kernel cross-spectral density. | Michel Besserve, Dominik Janzing, Nikos K. Logothetis, Bernhard Schlkopf |