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Aaron Wilson

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2020 – today

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2024
[c14]
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Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha:
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates. ICML 2024
[i2]
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Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha:
Do Large Code Models Understand Programming Concepts? A Black-box Approach. CoRR abs/2402.05980 (2024)
2023
[c13]
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Aaron Wilson, Swapnoneel Roy, Debajyoti Mukhopadhyay:
Open Voting Client Architecture and Op-Ed Voting for Secret Ballot Elections. ACR 2023: 381-392
2022
[c12]
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Sandeep Reddivari, Aaron Wilson:
Blockchain-Oriented Requirements Engineering: New Directions. IRI 2022: 118-123

2010 – 2019

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2016
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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): 33-46 (2016)
[c11]
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John Alexis Guerra Gómez, Aaron Wilson, Juan Liu, Daniel Davies, Peter Jarvis, Eric Bier:
Network Explorer: Design, Implementation, and Real World Deployment of a Large Network Visualization Tool. AVI 2016: 108-111
[i1]
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Will Grathwohl, Aaron Wilson:
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders. CoRR abs/1612.04440 (2016)
2015
[c10]
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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: 3912-3919
2014
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Aaron Wilson, Alan Fern, Prasad Tadepalli:
Using trajectory data to improve bayesian optimization for reinforcement learning. J. Mach. Learn. Res. 15(1): 253-282 (2014)
2012
[c9]
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Aaron Wilson, Alan Fern, Prasad Tadepalli:
A Bayesian Approach for Policy Learning from Trajectory Preference Queries. NIPS 2012: 1142-1150
[c8]
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Aaron Wilson, Alan Fern, Prasad Tadepalli:
Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach. ICML Unsupervised and Transfer Learning 2012: 217-227
2010
[c7]
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Aaron Wilson, Alan Fern, Prasad Tadepalli:
Bayesian Policy Search for Multi-Agent Role Discovery. AAAI 2010: 624-629
[c6]
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Aaron Wilson, Alan Fern, Prasad Tadepalli:
Bayesian role discovery for multi-agent reinforcement learning. AAMAS 2010: 1587-1588
[c5]
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Aaron Wilson, Alan Fern, Prasad Tadepalli:
Incorporating Domain Models into Bayesian Optimization for RL. ECML/PKDD (3) 2010: 467-482

2000 – 2009

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2007
[c4]
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Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli:
Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022
2003
[c3]
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Aaron Wilson, Margaret M. Burnett, Laura Beckwith, Orion Granatir, Ledah Casburn, Curtis R. Cook, Mike Durham, Gregg Rothermel:
Harnessing curiosity to increase correctness in end-user programming. CHI 2003: 305-312
2002
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Niklas Borselius, Chris J. Mitchell, Aaron Wilson:
A pragmatic alternative to undetachable signatures. ACM SIGOPS Oper. Syst. Rev. 36(2): 6-11 (2002)
[j1]
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Niklas Borselius, Chris J. Mitchell, Aaron Wilson:
On the value of threshold signatures. ACM SIGOPS Oper. Syst. Rev. 36(4): 30-35 (2002)
2001
[c2]
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Niklas Borselius, Chris J. Mitchell, Aaron Wilson:
Undetachable Threshold Signatures. IMACC 2001: 239-244
[c1]
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Niklas Borselius, Chris J. Mitchell, Aaron Wilson:
On Mobile Agent Based Transactions in Moderately Hostile Environments. Network Security 2001: 173-186

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