Matthew Parno
Cited by
Cited by
Transport map accelerated markov chain monte carlo
MD Parno, YM Marzouk
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645-682, 2018
Sampling via measure transport: An introduction
Y Marzouk, T Moselhy, M Parno, A Spantini
Handbook of uncertainty quantification, 1-41, 2016
An introduction to sampling via measure transport
Y Marzouk, T Moselhy, M Parno, A Spantini
arXiv preprint arXiv:1602.05023, 2016
The third Sandia Fracture Challenge: predictions of ductile fracture in additively manufactured metal
SLB Kramer, A Jones, A Mostafa, B Ravaji, T Tancogne-Dejean, CC Roth, ...
International Journal of Fracture 218 (1), 5-61, 2019
Applicability of surrogates to improve efficiency of particle swarm optimization for simulation-based problems
MD Parno, T Hemker, KR Fowler
Engineering optimization 44 (5), 521-535, 2012
A multiscale strategy for Bayesian inference using transport maps
M Parno, T Moselhy, Y Marzouk
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 1160-1190, 2016
A decision making framework with MODFLOW-FMP2 via optimization: Determining trade-offs in crop selection
KR Fowler, EW Jenkins, C Ostrove, JC Chrispell, MW Farthing, M Parno
Environmental Modelling & Software 69, 280-291, 2015
Transport maps for accelerated Bayesian computation
MD Parno
Massachusetts Institute of Technology, 2015
Framework for particle swarm optimization with surrogate functions
MD Parno, KR Fowler, T Hemker
Darmstadt Technical University, Darmstadt, 2009
Derivative-free optimization via evolutionary algorithms guiding local search (eagls) for minlp
JD Griffin, KR Fowler, GA Gray, T Hemker, MD Parno
Pacific Journal of Optimization 7, 425-443, 2011
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, VK Lopez, J Niemi, GE George, JC Cegan, ID Dettwiller, ...
medRxiv, 2021
MIT uncertainty quantification (MUQ) library
M Parno, A Davis, P Conrad
High dimensional inference for the structural health monitoring of lock gates
M Parno, D O'Connor, M Smith
arXiv preprint arXiv:1812.05529, 2018
Improved workflow for unguided multiphase image segmentation
BA West, TS Hodgdon, MD Parno, AJ Song
Computers & geosciences 118, 91-99, 2018
COVID-19 infection data encode a dynamic reproduction number in response to policy decisions with secondary wave implications
MA Rowland, TM Swannack, ML Mayo, M Parno, M Farthing, I Dettwiller, ...
Scientific reports 11 (1), 1-7, 2021
Development and Use of Mathematical Models and Software Frameworks for Integrated Analysis of Agricultural Systems and Associated Water Use Impacts
KR Fowler, EW Jenkins, M Parno, JC Chrispell, AI Colón, RT Hanson
AIMS Agriculture and Food 1 (2), 208-226, 2016
Bayesian data assimilation for stochastic multiscale models of transport in porous media
J Ray, S Lefantzi, K Klise, L Salazar, SA McKenna, ...
SAND Report SAND2011-6811, Sandia National Laboratories, Livermore, CA …, 2011
A multiscale framework for Bayesian inference in elliptic problems
MD Parno
Massachusetts Institute of Technology, 2011
Derivative-Free Optimization Via Evolutionary Algorithms Guiding Local Search
JD Griffin, KR Fowler, GA Gray, T Hemker, MD Parno
Sandia National Laboratories, Albuquerque, NM, Tech. Rep. SAND2010-3023J, 2010
A probabilistic optimal sensor design approach for structural health monitoring using risk-weighted f-divergence
Y Yang, M Chadha, Z Hu, MA Vega, MD Parno, MD Todd
Mechanical Systems and Signal Processing 161, 107920, 2021
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