Publications
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A list of all my publications, pre-prints, and other works that I have co-authored sorted by year of publication.
Colours: Awards, Conference, Journal, Workshop, Other.
2023
- Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht; IJCAI 2023 Workshop on Explainable Artificial Intelligence, 2023. - paper
- Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?. Balint Gyevnar, Nick Ferguson, Burkhard Schafer; 26th European Conference on Artificial Intelligence (ECAI), October 2023. - paper
- Trustworthy Autonomous Systems Early Career Research Award, Knowledge Transfer Track. £4000, UK Research & Innovation, July 2023.
- Love, Sex, and AI. Selected Essay, One Hundred Year Study on Artificial Intelligence (AI100) Early Career Essay Competition, Stanford University, 2023. - essay
- Get Your Act Together: A Comparative View on Transparency in the AI Act and Technology. Balint Gyevnar, Nick Ferguson, Burkhard Schafer; 5th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2023), 2023. - paper
- Causal Explanations for Stochastic Sequential Multi-Agent Decision-Making. Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht; 5th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2023), 2023. - paper
2022
- A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, and Stefano V. Albrecht; IJCAI Workshop on Artificial Intelligence for Autonomous Driving, 2022. - paper video
- Cars that Explain: Building Trust in Autonomous Vehicles through Explanations and Conversations. Balint Gyevnar; “Shape the Future of ITS” Competition, IEEE Intelligent Transportation Systems Society (ITSS), 2022. - paper video certificate
- Communicative Efficiency or Iconic Learning: Do communicative and acquisition pressures interact to shape colour-naming systems?. Balint Gyevnar, Gautier Dagan, Coleman Haley, Shangmin Guo, and Francis Mollica; Entropy, 24(11), 1542; 2022. - paper
- IGP2 Code Repository. Balint Gyevnar, Cillian Brewit, Samuel Garcin, Massimiliano Tamborski, and Stefano V. Albrecht. - code
2021
- GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving. Cillian Brewitt, Balint Gyevnar, Samuel Garcin, Stefano V. Albrecht; IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. - paper
- Interpretable Goal-based Prediction and Planning for Autonomous Driving. Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy; IEEE International Conference on Robotics and Automation (ICRA), 2021. - paper video
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