Leilani H. Gilpin
Cited by
Cited by
Explaining explanations: An overview of interpretability of machine learning
LH Gilpin, D Bau, BZ Yuan, A Bajwa, M Specter, L Kagal
2018 IEEE 5th International Conference on data science and advanced …, 2018
Outracing champion Gran Turismo drivers with deep reinforcement learning
PR Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ...
Nature 602 (7896), 223-228, 2022
Graph analysis for detecting fraud, waste, and abuse in healthcare data
J Liu, E Bier, A Wilson, JA Guerra-Gomez, T Honda, K Sricharan, L Gilpin, ...
Ai Magazine 37 (2), 33-46, 2016
Explaining Explanations to Society
LH Gilpin, C Testart, N Fruchte, J Adebayo
arXiv preprint arXiv:1901.06560, 2018
Perception of speaker personality traits using speech signals
LH Gilpin, DM Olson, T Alrashed
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018
Can large language models explain themselves? a study of llm-generated self-explanations
S Huang, S Mamidanna, S Jangam, Y Zhou, LH Gilpin
arXiv preprint arXiv:2310.11207, 2023
Monitoring scene understanders with conceptual primitive decomposition and commonsense knowledge
LH Gilpin, JC Macbeth, E Florentine
Advances in Cognitive Systems 6, 45-63, 2018
Reasonableness monitors
LH Gilpin
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
" Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
LH Gilpin, AR Paley, MA Alam, S Spurlock, KJ Hammond
arXiv preprint arXiv:2207.00007, 2022
Explaining multimodal errors in autonomous vehicles
LH Gilpin, V Penubarthi, L Kagal
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
A stress testing framework for autonomous system verification and validation (v&v)
G Falco, LH Gilpin
2021 IEEE International Conference on Autonomous Systems (ICAS), 1-5, 2021
Anomaly detection through explanations
LH Gilpin
Massachusetts Institute of Technology, 2020
Co-simulation solutions using AA4MM-FMI applied to smart space heating models
L Gilpin, L Ciarletta, Y Presse, V Chevrier, V Galtier
Seventh International Conference on Simulation Tools and Techniques, 2014
Establishing meta-decision-making for AI: an ontology of relevance, representation and reasoning
C Badea, L Gilpin
arXiv preprint arXiv:2210.00608, 2022
Anticipatory thinking: A testing and representation challenge for self-driving cars
LH Gilpin
2021 55th annual conference on information sciences and systems (CISS), 1-2, 2021
A knowledge driven approach to adaptive assistance using preference reasoning and explanation
JR Wilson, L Gilpin, I Rabkina
arXiv preprint arXiv:2012.02904, 2020
The anticipatory paradigm
A Amos‐Binks, D Dannenhauer, LH Gilpin
AI Magazine 44 (2), 133-143, 2023
Reasonable perception: Connecting vision and language systems for validating scene descriptions
LH Gilpin, C Zaman, D Olson, BZ Yuan
Companion of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018
Towards a fuller understanding of neurons with clustered compositional explanations
B La Rosa, L Gilpin, R Capobianco
Advances in Neural Information Processing Systems 36, 70333-70354, 2023
Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning
R Jenkins, K Hammond, S Spurlock, L Gilpin
AI & SOCIETY 38 (4), 1415-1428, 2023
The system can't perform the operation now. Try again later.
Articles 1–20