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)

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)

Improved Workflow for Unsupervised Multiphase Image Segmentation. - Brendan A. West; Taylor S. Hodgdon; Matthew D. Parno; Arnold J. Song (CoRR, 2017)

High dimensional inference for the structural health monitoring of lock gates. - Matthew D. Parno; Devin T. O'Connor; Matthew D. Smith 001 (CoRR, 2018)

Improved workflow for unguided multiphase image segmentation. - Brendan A. West; Taylor S. Hodgdon; Matthew D. Parno; Arnold J. Song (Comput. Geosci., 2018)

Transport Map Accelerated Markov Chain Monte Carlo. - Matthew D. Parno; Youssef M. Marzouk (SIAM/ASA J. Uncertain. Quantification, 2018)

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)

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)

MUQ: The MIT Uncertainty Quantification Library. - Matthew D. Parno; Andrew D. Davis; Linus Seelinger (J. Open Source Softw., 2021)

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)

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., 2022)

A transport approach to sequential simulation-based inference. - Paul-Baptiste Rubio; Youssef M. Marzouk; Matthew D. Parno (CoRR, 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., 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., 2023)

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; et al. (CoRR, 2024)

Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs. - Bohan Zhou; Matthew D. Parno (J. Sci. Comput., 2024)

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; et al. (J. Comput. Phys., 2025)