Matthew D. Parno

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Democratizing uncertainty quantification.
J. Comput. Phys.
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
2024 J jnl
Democratizing Uncertainty Quantification.
CoRR
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
2024 J jnl
Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs.
J. Sci. Comput.
Bohan Zhou, Matthew D. Parno
2023 J jnl
A transport approach to sequential simulation-based inference.
CoRR
Paul-Baptiste Rubio, Youssef M. Marzouk, Matthew D. Parno
2023 J jnl
UM-Bridge: Uncertainty quantification and modeling bridge.
J. Open Source Softw.
Linus Seelinger, Vivian Cheng-Seelinger, Andrew D. Davis, Matthew D. Parno, Anne Reinarz
2023 J jnl
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
ACM Trans. Math. Softw.
Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2022 J jnl
Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs.
CoRR
Bohan Zhou, Matthew D. Parno
2022 J jnl
MParT: Monotone Parameterization Toolkit.
J. Open Source Softw.
Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk
2022 J jnl
ParticLS: Object-oriented software for discrete element methods and peridynamics.
CoRR
Andrew D. Davis, Brendan A. West, Nathanael J. Frisch, Devin T. O'Connor, Matthew D. Parno
2021 J jnl
A Bayesian Approach for Inferring Sea Ice Loads.
CoRR
Matthew D. Parno, Taylor S. Hodgdon, Brendan A. West, Devin T. O'Connor, Arnold J. Song
2021 J jnl
MUQ: The MIT Uncertainty Quantification Library.
J. Open Source Softw.
Matthew D. Parno, Andrew D. Davis, Linus Seelinger
2021 J jnl
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
CoRR
Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2019 J jnl
Remote measurement of sea ice dynamics with regularized optimal transport.
CoRR
Matthew D. Parno, Brendan A. West, Arnold J. Song, Taylor S. Hodgdon, Devin T. O'Connor
2018 J jnl
High dimensional inference for the structural health monitoring of lock gates.
CoRR
Matthew D. Parno, Devin T. O'Connor, Matthew D. Smith
2018 J jnl
Improved workflow for unguided multiphase image segmentation.
Comput. Geosci.
Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno, Arnold J. Song
2018 J jnl
Transport Map Accelerated Markov Chain Monte Carlo.
SIAM/ASA J. Uncertain. Quantification
Matthew D. Parno, Youssef M. Marzouk
2017 J jnl
Improved Workflow for Unsupervised Multiphase Image Segmentation.
CoRR
Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno, Arnold J. Song
2016 J jnl
A Multiscale Strategy for Bayesian Inference Using Transport Maps.
SIAM/ASA J. Uncertain. Quantification
Matthew D. Parno, Tarek A. El-Moselhy, Youssef M. Marzouk
2015 J jnl
A decision making framework with MODFLOW-FMP2 via optimization: Determining trade-offs in crop selection.
Environ. Model. Softw.
Kathleen R. Fowler, Eleanor W. Jenkins, C. Ostrove, J. C. Chrispell, Matthew W. Farthing, Matthew D. Parno