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Matthew Parno
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
2622022
Transport map accelerated markov chain monte carlo
MD Parno, YM Marzouk
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645-682, 2018
2172018
Sampling via measure transport: An introduction
Y Marzouk, T Moselhy, M Parno, A Spantini
Handbook of uncertainty quantification 1 (2), 2016
2142016
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, 5-61, 2019
1052019
An introduction to sampling via measure transport
Y Marzouk, T Moselhy, M Parno, A Spantini
arXiv preprint arXiv:1602.05023, 2016
1032016
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
MedRxiv, 2021.02. 03.21250974, 2021
932021
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
482012
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
392016
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
362015
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
272021
Transport maps for accelerated Bayesian computation
MD Parno
Massachusetts Institute of Technology, 2015
242015
MUQ: The MIT uncertainty quantification library
M Parno, A Davis, L Seelinger
Journal of Open Source Software 6 (68), 3076, 2021
222021
hIPPYlib-MUQ: A Bayesian inference software framework for integration of data with complex predictive models under uncertainty
KT Kim, U Villa, M Parno, Y Marzouk, O Ghattas, N Petra
ACM Transactions on Mathematical Software 49 (2), 1-31, 2023
202023
Bonded discrete element simulations of sea ice with non‐local failure: Applications to Nares Strait
B West, D O’Connor, M Parno, M Krackow, C Polashenski
Journal of Advances in Modeling Earth Systems 14 (6), e2021MS002614, 2022
192022
Accounting for model form uncertainty in Bayesian calibration of linear dynamic systems
MK Ramancha, JP Conte, MD Parno
Mechanical Systems and Signal Processing 171, 108871, 2022
182022
High dimensional inference for the structural health monitoring of lock gates
M Parno, D O'Connor, M Smith
arXiv preprint arXiv:1812.05529, 2018
172018
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
162010
Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates
C Jiang, MA Vega, MK Ramancha, MD Todd, JP Conte, M Parno, Z Hu
Mechanical systems and signal processing 170, 108852, 2022
152022
UM-Bridge: Uncertainty quantification and modeling bridge
L Seelinger, V Cheng-Seelinger, A Davis, M Parno, A Reinarz
Journal of Open Source Software 8 (83), 2023
132023
ParticLS: object-oriented software for discrete element methods and peridynamics
AD Davis, BA West, NJ Frisch, DT O’Connor, MD Parno
Computational Particle Mechanics, 1-13, 2022
132022
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