| Adaptive Smolyak pseudospectral approximations PR Conrad, YM Marzouk SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013 | 212 | 2013 |
| Accelerating asymptotically exact MCMC for computationally intensive models via local approximations PR Conrad, YM Marzouk, NS Pillai, A Smith Journal of the American Statistical Association 111 (516), 1591-1607, 2016 | 127 | 2016 |
| Statistical analysis of differential equations: introducing probability measures on numerical solutions PR Conrad, M Girolami, S Särkkä, A Stuart, K Zygalakis Statistics and Computing 27, 1065-1082, 2017 | 106 | 2017 |
| Drake: An efficient executive for temporal plans with choice PR Conrad, BC Williams Journal of Artificial Intelligence Research 42, 607-659, 2011 | 75 | 2011 |
| Performance evaluation of color based road detection using neural nets and support vector machines P Conrad, M Foedisch 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 157-160, 2003 | 52 | 2003 |
| A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database J Winokur, P Conrad, I Sraj, O Knio, A Srinivasan, WC Thacker, ... Computational Geosciences 17, 899-911, 2013 | 49 | 2013 |
| Parallel local approximation MCMC for expensive models PR Conrad, AD Davis, YM Marzouk, NS Pillai, A Smith SIAM/ASA Journal on Uncertainty Quantification 6 (1), 339-373, 2018 | 44 | 2018 |
| Fast distributed multi-agent plan execution with dynamic task assignment and scheduling J Shah, P Conrad, B Williams Proceedings of the International Conference on Automated Planning and …, 2009 | 41 | 2009 |
| Flexible execution of plans with choice P Conrad, J Shah, B Williams Proceedings of the International Conference on Automated Planning and …, 2009 | 39 | 2009 |
| Probability measures for numerical solutions of differential equations PR Conrad, M Girolami, S Särkkä, A Stuart, K Zygalakis arXiv preprint arXiv:1506.04592, 2015 | 22 | 2015 |
| Asymptotically exact MCMC algorithms via local approximations of computationally intensive models PR Conrad, YM Marzouk, NS Pillai, A Smith arXiv preprint arXiv:1402.1694 4, 1015, 2014 | 13 | 2014 |
| MIT uncertainty quantification (MUQ) library M Parno, A Davis, P Conrad, YM Marzouk | 12 | 2014 |
| Flexible execution of plans with choice and uncertainty PR Conrad Massachusetts Institute of Technology, 2010 | 9 | 2010 |
| MIT Uncertainty Quantification (MUQ) Library, 2014 M Parno, A Davis, P Conrad, Y Marzouk | 5 | |
| Accelerating Bayesian inference in computationally expensive computer models using local and global approximations PR Conrad Massachusetts Institute of Technology, 2014 | 3 | 2014 |
| Compliant task execution and learning for safe mixed-initiative human-robot operations S Dong, J Shah, P Conrad, D Mittman, M Ingham, V Verma, B Williams Infotech@ Aerospace 2011, 1651, 2011 | 3 | 2011 |
| Quantification of Uncertainty in Extreme Scale Computations (QUEST) Y Marzouk, P Conrad, D Bigoni, M Parno Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States), 2017 | | 2017 |
| Probabilistic Numerical Methods for Deterministic Differential Equations P Conrad, M Girolami, S Sarkka, A Stuart, K Zygalakis | | 2015 |
