Balint Gyevnar

Orcid: 0000-0003-0630-4315

According to our database1, Balint Gyevnar authored at least 14 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior.
CoRR, 2024

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review.
CoRR, 2024

Causal Explanations for Sequential Decision-Making in Multi-Agent Systems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Building Trustworthy Human-Centric Autonomous Systems Via Explanations.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Towards Trustworthy Autonomous Systems via Conversations and Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.
CoRR, 2023

Aligning Explainable AI and the Law: The European Perspective.
CoRR, 2023

Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act?
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour- Naming Systems?
Entropy, 2022

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.
CoRR, 2022

Deep reinforcement learning for multi-agent interaction.
AI Commun., 2022

2021
GRIT: Verifiable Goal Recognition for Autonomous Driving using Decision Trees.
CoRR, 2021

GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Interpretable Goal-based Prediction and Planning for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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