Philipp Geiger

According to our database1, Philipp Geiger authored at least 16 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations.
CoRR, 2024

2023
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Fail-Safe Adversarial Generative Imitation Learning.
Trans. Mach. Learn. Res., 2022

Fail-Safe Generative Adversarial Imitation Learning.
CoRR, 2022

2021
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multiagent trajectory models via game theory and implicit layer-based learning.
CoRR, 2020

Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift.
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.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
Coordination via predictive assistants from a game-theoretic view.
CoRR, 2018

2017
Causal models for decision making via integrative inference.
PhD thesis, 2017

2016
Experimental and causal view on information integration in autonomous agents.
CoRR, 2016

Causal models for debugging and control in cloud computing.
CoRR, 2016

Notes on socio-economic transparency mechanisms.
CoRR, 2016

2015
Discovering Temporal Causal Relations from Subsampled Data.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Estimating Causal Effects by Bounding Confounding.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014


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