Matthew D. Parno

According to our database, Matthew D. Parno authored at least 17 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Democratizing uncertainty quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl

J. Comput. Phys., 2025

2024

Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs.

Bohan Zhou, Matthew D. Parno

J. Sci. Comput., July, 2024

Democratizing Uncertainty Quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl

CoRR, 2024

2023

hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.

Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra

ACM Trans. Math. Softw., June, 2023

UM-Bridge: Uncertainty quantification and modeling bridge.

Linus Seelinger, Vivian Cheng-Seelinger, Andrew D. Davis, Matthew D. Parno, Anne Reinarz

J. Open Source Softw., March, 2023

A transport approach to sequential simulation-based inference.

Paul-Baptiste Rubio, Youssef M. Marzouk, Matthew D. Parno

CoRR, 2023

2022

MParT: Monotone Parameterization Toolkit.

Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk

J. Open Source Softw., December, 2022

ParticLS: Object-oriented software for discrete element methods and peridynamics.

Andrew D. Davis, Brendan A. West, Nathanael J. Frisch, Devin T. O'Connor, Matthew D. Parno

CoRR, 2022

2021

MUQ: The MIT Uncertainty Quantification Library.

Matthew D. Parno, Andrew D. Davis, Linus Seelinger

J. Open Source Softw., 2021

A Bayesian Approach for Inferring Sea Ice Loads.

Matthew D. Parno, Taylor S. Hodgdon, Brendan A. West, Devin T. O'Connor, Arnold J. Song

CoRR, 2021

2019

Remote measurement of sea ice dynamics with regularized optimal transport.

Matthew D. Parno, Brendan A. West, Arnold J. Song, Taylor S. Hodgdon, Devin T. O'Connor

CoRR, 2019

2018

Transport Map Accelerated Markov Chain Monte Carlo.

Matthew D. Parno, Youssef M. Marzouk

SIAM/ASA J. Uncertain. Quantification, 2018

Improved workflow for unguided multiphase image segmentation.

Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno, Arnold J. Song

Comput. Geosci., 2018

High dimensional inference for the structural health monitoring of lock gates.

Matthew D. Parno, Devin T. O'Connor, Matthew D. Smith

CoRR, 2018

2017

Improved Workflow for Unsupervised Multiphase Image Segmentation.

Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno, Arnold J. Song

CoRR, 2017

2016

A Multiscale Strategy for Bayesian Inference Using Transport Maps.

Matthew D. Parno, Tarek A. El-Moselhy, Youssef M. Marzouk

SIAM/ASA J. Uncertain. Quantification, 2016

2015

A decision making framework with MODFLOW-FMP2 via optimization: Determining trade-offs in crop selection.

Kathleen R. Fowler, Eleanor W. Jenkins, C. Ostrove, J. C. Chrispell, Matthew W. Farthing, Matthew D. Parno

Environ. Model. Softw., 2015