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Ryan Carey
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2020 – today
- 2024
- [c11]Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge:
Reasoning about Causality in Games (Abstract Reprint). AAAI 2024: 22697 - [c10]Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS 2024: 4258-4266 - [c9]Chenhui Deng
, Zichao Yue
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. DAC 2024: 175:1-175:6 - [i12]Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang:
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. CoRR abs/2403.01317 (2024) - [i11]Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang:
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR abs/2404.00477 (2024) - 2023
- [j3]Lewis Hammond
Reasoning about causality in games. Artif. Intell. 320: 103919 (2023) - [j2]Animesh Basak Chowdhury
Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2580-2590 (2023) - [c8]Ryan Carey, Tom Everitt:
Human Control: Definitions and Algorithms. UAI 2023: 271-281 - [i10]Lewis Hammond, James Fox
Reasoning about Causality in Games. CoRR abs/2301.02324 (2023) - [i9]Ryan Carey, Tom Everitt:
Human Control: Definitions and Algorithms. CoRR abs/2305.19861 (2023) - 2022
- [c7]Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt:
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. AAAI 2022: 9494-9503 - [c6]Sebastian Farquhar, Ryan Carey, Tom Everitt:
Path-Specific Objectives for Safer Agent Incentives. AAAI 2022: 9529-9538 - [c5]Chris van Merwijk, Ryan Carey, Tom Everitt:
A Complete Criterion for Value of Information in Soluble Influence Diagrams. AAAI 2022: 10034-10041 - [i8]Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt:
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. CoRR abs/2202.10816 (2022) - [i7]Chris van Merwijk, Ryan Carey, Tom Everitt:
A Complete Criterion for Value of Information in Soluble Influence Diagrams. CoRR abs/2202.11629 (2022) - [i6]Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis. CoRR abs/2204.02368 (2022) - [i5]Sebastian Farquhar, Ryan Carey, Tom Everitt:
Path-Specific Objectives for Safer Agent Incentives. CoRR abs/2204.10018 (2022) - 2021
- [c4]Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg:
Agent Incentives: A Causal Perspective. AAAI 2021: 11487-11495 - [c3]James Fox, Tom Everitt, Ryan Carey, Eric D. Langlois, Alessandro Abate, Michael J. Wooldridge:
PyCID: A Python Library for Causal Influence Diagrams. SciPy 2021: 65-73 - [i4]Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg:
Agent Incentives: A Causal Perspective. CoRR abs/2102.01685 (2021) - 2020
- [c2]Vojtech Kovarík, Ryan Carey:
(When) Is Truth-telling Favored in AI Debate? SafeAI@AAAI 2020: 128-137 - [i3]Ryan Carey, Eric D. Langlois, Tom Everitt, Shane Legg:
The Incentives that Shape Behaviour. CoRR abs/2001.07118 (2020)
2010 – 2019
- 2019
- [i2]Vojtech Kovarík, Ryan Carey:
(When) Is Truth-telling Favored in AI Debate? CoRR abs/1911.04266 (2019) - 2018
- [c1]Ryan Carey:
Incorrigibility in the CIRL Framework. AIES 2018: 30-35 - 2017
- [j1]Ryan Carey, Matthijs Maas, Nell Watson, Roman Yampolskiy:
Editors' Introduction to the Special Issue on "Superintelligence". Informatica (Slovenia) 41(4) (2017) - [i1]Ryan Carey:
Incorrigibility in the CIRL Framework. CoRR abs/1709.06275 (2017)
Coauthor Index
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