Ryan Carey

According to our database, Ryan Carey authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DE-HNN: An effective neural model for Circuit Netlist representation.

Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang

CoRR, 2024

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.

Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

DE-HNN: An effective neural model for Circuit Netlist representation.

Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Reasoning about Causality in Games (Abstract Reprint).

Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reasoning about causality in games.

Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge

Artif. Intell., July, 2023

Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis.

Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Human Control: Definitions and Algorithms.

Ryan Carey, Tom Everitt

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis.

Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg

CoRR, 2022

A Complete Criterion for Value of Information in Soluble Influence Diagrams.

Chris van Merwijk, Ryan Carey, Tom Everitt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Path-Specific Objectives for Safer Agent Incentives.

Sebastian Farquhar, Ryan Carey, Tom Everitt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness.

Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PyCID: A Python Library for Causal Influence Diagrams.

James Fox, Tom Everitt, Ryan Carey, Eric D. Langlois, Alessandro Abate, Michael J. Wooldridge

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

Agent Incentives: A Causal Perspective.

Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Incentives that Shape Behaviour.

Ryan Carey, Eric D. Langlois, Tom Everitt, Shane Legg

CoRR, 2020

(When) Is Truth-telling Favored in AI Debate?

Vojtech Kovarík, Ryan Carey

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2018

Incorrigibility in the CIRL Framework.

Ryan Carey

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Editors' Introduction to the Special Issue on "Superintelligence".

Ryan Carey, Matthijs Maas, Nell Watson, Roman Yampolskiy

Informatica (Slovenia), 2017