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2020 – today
- 2024
[j9]Bohan Zhou
, Matthew D. Parno:
Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs. J. Sci. Comput. 100(1): 25 (2024)- [i9]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:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - 2023
- [j8]Linus Seelinger, Vivian Cheng-Seelinger, Andrew D. Davis, Matthew D. Parno, Anne Reinarz:
UM-Bridge: Uncertainty quantification and modeling bridge. J. Open Source Softw. 8(83): 4748 (2023) - [j7]Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. ACM Trans. Math. Softw. 49(2): 17:1-17:31 (2023) - [i8]Paul-Baptiste Rubio, Youssef M. Marzouk, Matthew D. Parno:
A transport approach to sequential simulation-based inference. CoRR abs/2308.13940 (2023) - 2022
- [j6]Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk:
MParT: Monotone Parameterization Toolkit. J. Open Source Softw. 7(80): 4843 (2022) - [i7]Andrew D. Davis, Brendan A. West, Nathanael J. Frisch, Devin T. O'Connor, Matthew D. Parno:
ParticLS: Object-oriented software for discrete element methods and peridynamics. CoRR abs/2204.10855 (2022) - [i6]Bohan Zhou, Matthew D. Parno:
Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs. CoRR abs/2208.03025 (2022) - 2021
- [j5]Matthew D. Parno, Andrew D. Davis, Linus Seelinger:
MUQ: The MIT Uncertainty Quantification Library. J. Open Source Softw. 6(68): 3076 (2021) - [i5]Matthew D. Parno, Taylor S. Hodgdon, Brendan A. West, Devin T. O'Connor, Arnold J. Song:
A Bayesian Approach for Inferring Sea Ice Loads. CoRR abs/2102.08444 (2021) - [i4]Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. CoRR abs/2112.00713 (2021)
2010 – 2019
- 2019
- [i3]Matthew D. Parno, Brendan A. West, Arnold J. Song, Taylor S. Hodgdon, Devin T. O'Connor:
Remote measurement of sea ice dynamics with regularized optimal transport. CoRR abs/1905.00989 (2019) - 2018
- [j4]Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno, Arnold J. Song:
Improved workflow for unguided multiphase image segmentation. Comput. Geosci. 118: 91-99 (2018) - [j3]Matthew D. Parno, Youssef M. Marzouk:
Transport Map Accelerated Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification 6(2): 645-682 (2018) - [i2]Matthew D. Parno, Devin T. O'Connor, Matthew D. Smith:
High dimensional inference for the structural health monitoring of lock gates. CoRR abs/1812.05529 (2018) - 2017
- [i1]Brendan A. West, Taylor S. Hodgdon, Matthew D. Parno, Arnold J. Song:
Improved Workflow for Unsupervised Multiphase Image Segmentation. CoRR abs/1710.09671 (2017) - 2016
- [j2]Matthew D. Parno, Tarek A. El-Moselhy, Youssef M. Marzouk:
A Multiscale Strategy for Bayesian Inference Using Transport Maps. SIAM/ASA J. Uncertain. Quantification 4(1): 1160-1190 (2016) - 2015
- [j1]Kathleen R. Fowler, Eleanor W. Jenkins, C. Ostrove, J. C. Chrispell, Matthew W. Farthing, Matthew D. Parno:
A decision making framework with MODFLOW-FMP2 via optimization: Determining trade-offs in crop selection. Environ. Model. Softw. 69: 280-291 (2015)
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