Brendan Tracey
Brendan Tracey
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TitleCited byYear
Stanford university unstructured (SU2): Analysis and design technology for turbulent flows
F Palacios, TD Economon, A Aranake, SR Copeland, AK Lonkar, ...
52nd Aerospace Sciences Meeting, 0243, 2014
A machine learning strategy to assist turbulence model development
BD Tracey, K Duraisamy, JJ Alonso
53rd AIAA Aerospace Sciences Meeting, 1287, 2015
Cyber-physical security: A game theory model of humans interacting over control systems
S Backhaus, R Bent, J Bono, R Lee, B Tracey, D Wolpert, D Xie, Y Yildiz
IEEE Transactions on Smart Grid 4 (4), 2320-2327, 2013
Application of Supervised Learning to Quantify Uncertainties in Turbulence and Combustion Modeling
B Tracey, K Duraisamy, JJ Alonso
On the information bottleneck theory of deep learning
AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ...
Using supervised learning to improve monte carlo integral estimation
B Tracey, D Wolpert, JJ Alonso
AIAA journal 51 (8), 2015-2023, 2013
Nonlinear information bottleneck
A Kolchinsky, BD Tracey, DH Wolpert
arXiv preprint arXiv:1705.02436, 2017
Estimating mixture entropy with pairwise distances
A Kolchinsky, BD Tracey
Entropy 19 (7), 361, 2017
Probabilistic simulation of multi-stage decisions for operation of a fractionated satellite mission
M Daniels, J Irvine, B Tracey, W Schram, ME Pate-Cornell
Aerospace Conference, 2011 IEEE, 1-16, 2011
Counter-factual reinforcement learning: How to model decision-makers that anticipate the future
R Lee, DH Wolpert, J Bono, S Backhaus, R Bent, B Tracey
Decision Making and Imperfection, 101-128, 2013
Air Vehicle Design and Technology Considerations for an Electric VTOL Metro-Regional Public Transportation System
J Sinsay, J Alonso, D Kontinos, J Melton, S Grabbe
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference …, 2012
Predicting the behavior of interacting humans by fusing data from multiple sources
EJ Schlicht, R Lee, DH Wolpert, MJ Kochenderfer, B Tracey
arXiv preprint arXiv:1206.6080, 2012
Modeling humans as reinforcement learners: How to predict human behavior in multi-stage games
R Lee, DH Wolpert, S Backhaus, R Bent, J Bono, B Tracey
Machine learning for model uncertainties in turbulence models and monte carlo integral approximation
BD Tracey
Stanford University, 2015
Combined electric aircraft and airspace management design for metro-regional public transportation
J Melton, D Kontinos, S Grabbe, J Alonso, J Sinsay, B Tracey
NASA/TM 216626, 2014, 2014
Predicting What Reinforcement Learning Will Tell You: A Model of Human Decision-Making in Multi-Stage Games
R Lee, D Wolpert, S Backhaus, R Bent, J Bono, B Tracey
Decision-Making with Imperfect Decision Makers, 2012
Upgrading from Gaussian Processes to Student’sT Processes
BD Tracey, D Wolpert
2018 AIAA Non-Deterministic Approaches Conference, 1659, 2018
Reducing the error of Monte Carlo algorithms by learning control variates
BD Tracey, DH Wolpert
arXiv preprint arXiv:1606.02261, 2016
Dynamics of beneficial epidemics
A Berdahl, C Brelsford, C De Bacco, M Dumas, V Ferdinand, JA Grochow, ...
arXiv preprint arXiv:1604.02096, 2016
Application of game theoretic models to evaluate airline equipage dynamics of nextgen technologies
JJ Alonso, PA Bonnefoy, J Bono, A Fan, D McConnachie, BD Tracey, ...
2013 Aviation Technology, Integration, and Operations Conference, 4279, 2013
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