| 2025 | ICCV | Analyzing Closed-Loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. | Matthias Bitzer, Reinis Cimurs, Benjamin Coors, Johannes Goth, Sebastian Ziesche, Philipp Geiger, Maximilian Naumann |
| 2021 | AAAI | Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. | Philipp Geiger, Christoph-Nikolas Straehle |
| 2020 | AAAI | Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. | Jalal Etesami, Philipp Geiger |
| 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 |
| 2015 | ICML | Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. | Philipp Geiger, Kun Zhang, Bernhard Schlkopf, Mingming Gong, Dominik Janzing |
| 2015 | ICML | Discovering Temporal Causal Relations from Subsampled Data. | Mingming Gong, Kun Zhang, Bernhard Schlkopf, Dacheng Tao, Philipp Geiger |
| 2014 | UAI | Estimating Causal Effects by Bounding Confounding. | Philipp Geiger, Dominik Janzing, Bernhard Schlkopf |