Follow
Patrick R. Conrad
Patrick R. Conrad
Verified email at mit.edu
Title
Cited by
Cited by
Year
Adaptive Smolyak pseudospectral approximations
PR Conrad, YM Marzouk
SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013
1712013
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
1092016
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
802017
Drake: An efficient executive for temporal plans with choice
PR Conrad, BC Williams
Journal of Artificial Intelligence Research 42, 607-659, 2011
682011
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
492003
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
442013
Flexible execution of plans with choice
PR Conrad, JA Shah, BC Williams
Nineteenth International Conference on Automated Planning and Scheduling, 2009
392009
Fast distributed multi-agent plan execution with dynamic task assignment and scheduling
JA Shah, PR Conrad, BC Williams
Nineteenth International Conference on Automated Planning and Scheduling, 2009
382009
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
362018
Probability measures for numerical solutions of differential equations
PR Conrad, M Girolami, S Särkkä, A Stuart, K Zygalakis
arXiv preprint arXiv:1506.04592, 2015
232015
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
132014
MIT uncertainty quantification (MUQ) library
M Parno, A Davis, P Conrad, YM Marzouk
102014
Flexible execution of plans with choice and uncertainty
PR Conrad
Massachusetts Institute of Technology, 2010
92010
MIT Uncertainty Quantification (MUQ) Library, 2014
M Parno, A Davis, P Conrad, Y Marzouk
5
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
42011
Accelerating Bayesian inference in computationally expensive computer models using local and global approximations
PR Conrad
Massachusetts Institute of Technology, 2014
32014
Statistical analysis of differential equations
PR Conrad, M Girolami, S Särkkä, A Stuart, K Zygalakis
2017
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
The system can't perform the operation now. Try again later.
Articles 1–19