Matthew Parno

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Soavtorji

Youssef MarzoukProfessor, Massachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Devin T. O'ConnorSandia National LaboratoriesPreverjeni e-poštni naslov na sandia.gov
Brendan WestCold Regions Research and Engineering Laboratory (CRREL)Preverjeni e-poštni naslov na erdc.dren.mil
Tarek MoselhyMassachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Andrew DavisCourant Institute of Mathematical SciencesPreverjeni e-poštni naslov na alum.mit.edu
Alessio SpantiniMassachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
matthew farthingUS Engineer Research and Development CenterPreverjeni e-poštni naslov na erdc.dren.mil
Arnold SongDartmouth CollegePreverjeni e-poštni naslov na dartmouth.edu
E.W. JenkinsProfessor of Mathematical and Statistical Sciences, Clemson UniversityPreverjeni e-poštni naslov na clemson.edu
Prof. Dr.-Ing. Thomas HemkerFH MünsterPreverjeni e-poštni naslov na fh-muenster.de
Taylor HodgdonEngineer Research and Development CenterPreverjeni e-poštni naslov na erdc.dren.mil
Linus SeelingerKarlsruhe Institute of Technology (KIT)Preverjeni e-poštni naslov na linusseelinger.de
Michael ToddProfessor of Structural Engineering, University of California San DiegoPreverjeni e-poštni naslov na ucsd.edu
Manuel A. VegaR&D S&E Computer Scientist, Sandia National LaboratoriesPreverjeni e-poštni naslov na sandia.gov
Zhen HuUniversity of Michigan-DearbornPreverjeni e-poštni naslov na umich.edu
Corey OstroveSandia National LaboratoriesPreverjeni e-poštni naslov na sandia.gov
Patrick R. ConradMassachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Joel ConteDistinguished Professor, University of California at San DiegoPreverjeni e-poštni naslov na ucsd.edu
Mukesh RamanchaData Scientist - Zoox, Inc. || PhD & Postdoc - University of California San DiegoPreverjeni e-poštni naslov na ucsd.edu
Noemi PetraAssociate Professor, University of California, MercedPreverjeni e-poštni naslov na ucmerced.edu

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Matthew Parno

Solea Energy

Preverjeni e-poštni naslov na soleaenergy.com - Domača stran

Inverse Problems Uncertainty Quantification Bayesian Statistics Electricity Markets Measure Transport


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	255	2022
Transport map accelerated markov chain monte carlo MD Parno, YM Marzouk SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645-682, 2018	215	2018
Sampling via measure transport: An introduction Y Marzouk, T Moselhy, M Parno, A Spantini Handbook of uncertainty quantification 1 (2), 2016	206	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, 5-61, 2019	104	2019
An introduction to sampling via measure transport Y Marzouk, T Moselhy, M Parno, A Spantini arXiv preprint arXiv:1602.05023, 2016	99	2016
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	92	2021
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	47	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	38	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	36	2015
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	26	2021
Transport maps for accelerated Bayesian computation MD Parno Massachusetts Institute of Technology, 2015	23	2015
MUQ: The MIT uncertainty quantification library M Parno, A Davis, L Seelinger Journal of Open Source Software 6 (68), 3076, 2021	22	2021
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	20	2023
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	19	2022
High dimensional inference for the structural health monitoring of lock gates M Parno, D O'Connor, M Smith arXiv preprint arXiv:1812.05529, 2018	17	2018
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	16	2022
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	16	2010
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	15	2022
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	13	2022
Framework for particle swarm optimization with surrogate functions MD Parno, KR Fowler, T Hemker Darmstadt Technical University, Darmstadt, Germany, 2009	13	2009

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