Serena Booth

Orcid: 0000-0001-7738-4418

According to our database1, Serena Booth authored at least 18 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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
Models of human preference for learning reward functions.
CoRR, 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


  Loading...