Serena Booth

Orcid: 0000-0001-7738-4418

According to our database1, Serena Booth authored at least 19 papers between 2017 and 2024.

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Bibliography

2024
Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise
PhD thesis, 2024

Models of human preference for learning reward functions.
Trans. Mach. Learn. Res., 2024

Learning Optimal Advantage from Preferences and Mistaking It for Reward.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Quality-Diversity Generative Sampling for Learning with Synthetic Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Variable Autonomy for Human-Robot Teaming (VAT).
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Aligning Robot Behaviors with Human Intents by Exposing Learned Behaviors and Resolving Misspecifications.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Do Feature Attribution Methods Correctly Attribute Features?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
IEEE P7001: A Proposed Standard on Transparency.
Frontiers Robotics AI, 2021

The Irrationality of Neural Rationale Models.
CoRR, 2021

RoCUS: Robot Controller Understanding via Sampling.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets.
CoRR, 2020

Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach.
CoRR, 2020

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI).
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
Piggybacking Robots: Human-Robot Overtrust in University Dormitory Security.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017


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