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Philipp Geiger
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2020 – today
- 2024
- [i9]Matthias Bitzer, Reinis Cimurs, Benjamin Coors, Johannes Goth, Sebastian Ziesche, Philipp Geiger, Maximilian Naumann:
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. CoRR abs/2410.15987 (2024) - 2023
- [c7]Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger:
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. ITSC 2023: 5876-5883 - [i8]Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger:
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. CoRR abs/2305.13106 (2023) - 2022
- [j1]Philipp Geiger, Christoph-Nikolas Straehle:
Fail-Safe Adversarial Generative Imitation Learning. Trans. Mach. Learn. Res. 2022 (2022) - [i7]Philipp Geiger, Christoph-Nikolas Straehle:
Fail-Safe Generative Adversarial Imitation Learning. CoRR abs/2203.01696 (2022) - 2021
- [c6]Philipp Geiger, Christoph-Nikolas Straehle:
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. AAAI 2021: 4950-4958 - 2020
- [c5]Jalal Etesami, Philipp Geiger:
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. AAAI 2020: 10118-10125 - [i6]Jalal Etesami, Philipp Geiger:
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift. CoRR abs/2003.00806 (2020) - [i5]Philipp Geiger, Christoph Nikolas Straehle:
Multiagent trajectory models via game theory and implicit layer-based learning. CoRR abs/2008.07303 (2020)
2010 – 2019
- 2019
- [c4]Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schölkopf:
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. UAI 2019: 207-216 - 2018
- [i4]Philipp Geiger, Justus Winkelmann, Claudius Proissl, Michel Besserve, Bernhard Schölkopf:
Coordination via predictive assistants from a game-theoretic view. CoRR abs/1803.06247 (2018) - 2017
- [b1]Philipp Geiger:
Causal models for decision making via integrative inference. University of Stuttgart, Germany, 2017 - 2016
- [i3]Philipp Geiger, Lucian Carata, Bernhard Schölkopf:
Causal models for debugging and control in cloud computing. CoRR abs/1603.01581 (2016) - [i2]Philipp Geiger, Katja Hofmann, Bernhard Schölkopf:
Experimental and causal view on information integration in autonomous agents. CoRR abs/1606.04250 (2016) - [i1]Philipp Geiger:
Notes on socio-economic transparency mechanisms. CoRR abs/1606.04703 (2016) - 2015
- [c3]Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger:
Discovering Temporal Causal Relations from Subsampled Data. ICML 2015: 1898-1906 - [c2]Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing:
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. ICML 2015: 1917-1925 - 2014
- [c1]Philipp Geiger, Dominik Janzing, Bernhard Schölkopf:
Estimating Causal Effects by Bounding Confounding. UAI 2014: 240-249
Coauthor Index
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