Leilani Gilpin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 11

Top Topics

Knowledge Driven

Doctoral Consortium

Spiking Neural Networks

Multi Agent Decision Making

Top Venues

COGSAT@AAAI Fall Symposium

Publications

Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin, Jason K. Eshraghian
Autonomous Driving with Spiking Neural Networks. CoRR (2024)
Ryan Jenkins, Kristian J. Hammond, Sarah Spurlock, Leilani Gilpin
Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning. AI Soc. 38 (4) (2023)
Biagio La Rosa, Leilani Gilpin, Roberto Capobianco
Towards a fuller understanding of neurons with Clustered Compositional Explanations. NeurIPS (2023)
Shreyan Mitra, Leilani Gilpin
The XAISuite framework and the implications of explanatory system dissonance. CoRR (2023)
Shreyan Mitra, Leilani Gilpin
A novel post-hoc explanation comparison metric and applications. CoRR (2023)
Cosmin Badea, Leilani Gilpin
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning. CoRR (2022)
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602 (7896) (2022)
Michal Araszkiewicz, Ilaria Angela Amantea, Saurabh Chakravarty, Robert van Doesburg, Maria Dymitruk, Marie Garin, Leilani Gilpin, Daphne Odekerken, Seyedeh Sajedeh Salehi
ICAIL Doctoral Consortium, Montreal 2019. Artif. Intell. Law 28 (2) (2020)
Jason R. Wilson, Leilani Gilpin, Irina Rabkina
A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation. CoRR (2020)
Leilani Gilpin
Explaining Possible Futures for Robust Autonomous Decision-Making. COGSAT@AAAI Fall Symposium (2019)
Juan Liu, Eric Bier, Aaron Wilson, John Alexis Guerra Gómez, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, Daniel Davies
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. AI Mag. 37 (2) (2016)
Juan Liu, Eric Bier, Aaron Wilson, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, John Alexis Guerra Gómez, Daniel Davies
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. AAAI (2015)
Leilani Gilpin, Laurent Ciarletta, Yannick Presse, Vincent Chevrier, Virginie Galtier
Co-simulation solutions using AA4MM-FMI applied to smart space heating models. SimuTools (2014)