| On the information bottleneck theory of deep learning AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ... Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124020, 2019 | 326 | 2019 |
| A machine learning strategy to assist turbulence model development BD Tracey, K Duraisamy, JJ Alonso 53rd AIAA aerospace sciences meeting, 1287, 2015 | 270 | 2015 |
| 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 | 174 | 2014 |
| Application of Supervised Learning to Quantify Uncertainties in Turbulence and Combustion Modeling B Tracey, K Duraisamy, JJ Alonso | 119 | 2013 |
| Nonlinear information bottleneck A Kolchinsky, BD Tracey, DH Wolpert Entropy 21 (12), 1181, 2019 | 110 | 2019 |
| Estimating mixture entropy with pairwise distances A Kolchinsky, BD Tracey Entropy 19 (7), 361, 2017 | 93 | 2017 |
| 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 | 75 | 2013 |
| International Conference on Learning Representations AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ... ICLR, 2018 | 49 | 2018 |
| Caveats for information bottleneck in deterministic scenarios A Kolchinsky, BD Tracey, S Van Kuyk arXiv preprint arXiv:1808.07593, 2018 | 47 | 2018 |
| Deep reinforcement learning for event-driven multi-agent decision processes K Menda, YC Chen, J Grana, JW Bono, BD Tracey, MJ Kochenderfer, ... IEEE Transactions on Intelligent Transportation Systems 20 (4), 1259-1268, 2018 | 32 | 2018 |
| Real world games look like spinning tops WM Czarnecki, G Gidel, B Tracey, K Tuyls, S Omidshafiei, D Balduzzi, ... Advances in Neural Information Processing Systems 33, 17443-17454, 2020 | 27 | 2020 |
| Using supervised learning to improve Monte Carlo integral estimation B Tracey, D Wolpert, JJ Alonso AIAA journal 51 (8), 2015-2023, 2013 | 23 | 2013 |
| Upgrading from Gaussian processes to Student’st processes BD Tracey, D Wolpert 2018 AIAA Non-Deterministic Approaches Conference, 1659, 2018 | 20 | 2018 |
| Magnetic control of tokamak plasmas through deep reinforcement learning J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ... Nature 602 (7897), 414-419, 2022 | 19 | 2022 |
| Scale and information-processing thresholds in Holocene social evolution J Shin, MH Price, DH Wolpert, H Shimao, B Tracey, TA Kohler Nature communications 11 (1), 1-8, 2020 | 17 | 2020 |
| 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 | 16 | 2012 |
| 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 | 12 | 2013 |
| Probabilistic simulation of multi-stage decisions for operation of a fractionated satellite mission M Daniels, J Irvine, B Tracey, W Schram, ME Pate-Cornell 2011 Aerospace Conference, 1-16, 2011 | 9 | 2011 |
| From motor control to team play in simulated humanoid football S Liu, G Lever, Z Wang, J Merel, SM Eslami, D Hennes, WM Czarnecki, ... arXiv preprint arXiv:2105.12196, 2021 | 8 | 2021 |
| Reducing the error of Monte Carlo algorithms by learning control variates BD Tracey, DH Wolpert arXiv preprint arXiv:1606.02261, 2016 | 8 | 2016 |
David H. WolpertSanta Fe InstituteVerified email at santafe.edu
