Philipp Geiger

19 papers A* 4A 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Analyzing Closed-Loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. ICCVW Matthias Bitzer, Reinis Cimurs, Benjamin Coors, Johannes Goth, Sebastian Ziesche, Philipp Geiger, Maximilian Naumann
2024	J	`jnl`	Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. CoRR Matthias Bitzer, Reinis Cimurs, Benjamin Coors, Johannes Goth, Sebastian Ziesche, Philipp Geiger, Maximilian Naumann
2023	—	`conf`	On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. ITSC Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger
2023	J	`jnl`	On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. CoRR Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger
2022	J	`jnl`	Fail-Safe Adversarial Generative Imitation Learning. Trans. Mach. Learn. Res. Philipp Geiger, Christoph-Nikolas Straehle
2022	J	`jnl`	Fail-Safe Generative Adversarial Imitation Learning. CoRR Philipp Geiger, Christoph-Nikolas Straehle
2021	A*	`conf`	Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. AAAI Philipp Geiger, Christoph-Nikolas Straehle
2020	A*	`conf`	Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. AAAI Jalal Etesami, Philipp Geiger
2020	J	`jnl`	Causal Transfer for Imitation Learning and Decision Making under Sensor-shift. CoRR Jalal Etesami, Philipp Geiger
2020	J	`jnl`	Multiagent trajectory models via game theory and implicit layer-based learning. CoRR Philipp Geiger, Christoph Nikolas Straehle
2019	A	`conf`	Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. UAI Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schölkopf
2018	J	`jnl`	Coordination via predictive assistants from a game-theoretic view. CoRR Philipp Geiger, Justus Winkelmann, Claudius Proissl, Michel Besserve, Bernhard Schölkopf
2017	—	`—`	Causal models for decision making via integrative inference. Philipp Geiger
2016	J	`jnl`	Causal models for debugging and control in cloud computing. CoRR Philipp Geiger, Lucian Carata, Bernhard Schölkopf
2016	J	`jnl`	Experimental and causal view on information integration in autonomous agents. CoRR Philipp Geiger, Katja Hofmann, Bernhard Schölkopf
2016	J	`jnl`	Notes on socio-economic transparency mechanisms. CoRR Philipp Geiger
2015	A*	`conf`	Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. ICML Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing
2015	A*	`conf`	Discovering Temporal Causal Relations from Subsampled Data. ICML Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger
2014	A	`conf`	Estimating Causal Effects by Bounding Confounding. UAI Philipp Geiger, Dominik Janzing, Bernhard Schölkopf