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
1172013
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
662016
Drake: An efficient executive for temporal plans with choice
PR Conrad, BC Williams
Journal of Artificial Intelligence Research 42, 607-659, 2011
532011
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
462003
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 (4), 1065-1082, 2017
452017
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 (6), 899-911, 2013
352013
Flexible execution of plans with choice
PR Conrad, JA Shah, BC Williams
Nineteenth International Conference on Automated Planning and Scheduling, 2009
322009
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
282009
Probability measures for numerical solutions of differential equations
PR Conrad, M Girolami, S Särkkä, A Stuart, K Zygalakis
arXiv preprint arXiv:1506.04592, 2015
222015
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
182018
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
Flexible execution of plans with choice and uncertainty
PR Conrad
Massachusetts Institute of Technology, 2010
82010
MIT uncertainty quantification (MUQ) library
M Parno, A Davis, P Conrad, YM Marzouk
62014
Accelerating Bayesian inference in computationally expensive computer models using local and global approximations
PR Conrad
Massachusetts Institute of Technology, 2014
32014
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
12011
Attention to science/environment news positively predicts and attention to political news negatively predicts global warming risk perceptions and policy support
A Hansen, CR Ader, L Ahern, DS Bortree, AN Smith, E Albaek, ...
Environment, Media and Communication 72 (2), 176-189, 2019
2019
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
MinSE: international master's degree in heat treatment and surface engineering
R Wood
International Heat Treatment and Surface Engineering 4 (3), 94-95, 2010
2010
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