Philipp Geiger

According to our database, Philipp Geiger authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows.

Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Fail-Safe Adversarial Generative Imitation Learning.

Philipp Geiger, Christoph-Nikolas Straehle

Trans. Mach. Learn. Res., 2022

Fail-Safe Generative Adversarial Imitation Learning.

Philipp Geiger, Christoph-Nikolas Straehle

CoRR, 2022

2021

Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers.

Philipp Geiger, Christoph-Nikolas Straehle

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiagent trajectory models via game theory and implicit layer-based learning.

Philipp Geiger, Christoph Nikolas Straehle

CoRR, 2020

Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift.

Jalal Etesami, Philipp Geiger

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory.

Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schölkopf

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Coordination via predictive assistants from a game-theoretic view.

Philipp Geiger, Justus Winkelmann, Claudius Proissl, Michel Besserve, Bernhard Schölkopf

CoRR, 2018

2017

Causal models for decision making via integrative inference.

Philipp Geiger

PhD thesis, 2017

2016

Experimental and causal view on information integration in autonomous agents.

Philipp Geiger, Katja Hofmann, Bernhard Schölkopf

CoRR, 2016

Causal models for debugging and control in cloud computing.

Philipp Geiger, Lucian Carata, Bernhard Schölkopf

CoRR, 2016

Notes on socio-economic transparency mechanisms.

Philipp Geiger

CoRR, 2016

2015

Discovering Temporal Causal Relations from Subsampled Data.

Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger

Proceedings of the 32nd International Conference on Machine Learning, 2015

Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components.

Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Estimating Causal Effects by Bounding Confounding.

Philipp Geiger, Dominik Janzing, Bernhard Schölkopf

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014