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ORCIDMatthew W. Farthing
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- affiliation: U.S. Army Corps of Engineers, Coastal and Hydraulics Laboratory, Vicksburg, MS, USA
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2020 – today
- 2025
[i9]Peter Rivera-Casillas, Sourav Dutta
, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Jason Trahan, Jonghyun Lee, Matthew W. Farthing, Clint Dawson:
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics. CoRR abs/2502.14782 (2025)- 2024
- [i8]Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve:
Multi-fidelity Hamiltonian Monte Carlo. CoRR abs/2405.05033 (2024) - 2023
- [j12]Adam Collins, Annika O'Dea, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing:
Automated Extraction of a Depth-Defined Wave Runup Time Series From Lidar Data Using Deep Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [i7]Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn P. Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - 2021
- [j11]Elena Bachini, Matthew W. Farthing, Mario Putti:
Intrinsic finite element method for advection-diffusion-reaction equations on surfaces. J. Comput. Phys. 424: 109827 (2021) - [j10]Sourav Dutta, Matthew W. Farthing, Emma Perracchione, Gaurav Savant, Mario Putti:
A greedy non-intrusive reduced order model for shallow water equations. J. Comput. Phys. 439: 110378 (2021) - [j9]Adam Collins, Matthew P. Geheran, Tyler J. Hesser, Andrew Spicer Bak, Katherine L. Brodie, Matthew W. Farthing:
Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC. Remote. Sens. 13(23): 4907 (2021) - [j8]Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing:
pyNIROM - A suite of python modules for non-intrusive reduced order modeling of time-dependent problems. Softw. Impacts 10: 100129 (2021) - [c6]Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing:
Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics. AAAI Spring Symposium: MLPS 2021 - [c5]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS 2021 - [c4]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Preface. AAAI Spring Symposium: MLPS 2021 - [e2]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser:
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021. CEUR Workshop Proceedings 2964, CEUR-WS.org 2021 [contents] - [i6]Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing:
Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics. CoRR abs/2104.13962 (2021) - [i5]Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti:
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs. CoRR abs/2107.02784 (2021) - [i4]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Deep learning-based fast solver of the shallow water equations. CoRR abs/2111.11702 (2021) - [i3]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. CoRR abs/2111.11719 (2021) - 2020
- [j7]Adam Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long:
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning. Remote. Sens. 12(20): 3364 (2020) - [c3]Adam Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Douglas W. Gamble, Joseph W. Long:
A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model Celeris. AAAI Spring Symposium: MLPS 2020 - [c2]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Preface. AAAI Spring Symposium: MLPS 2020 - [c1]Yizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve:
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements. AAAI Spring Symposium: MLPS 2020 - [e1]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to - 25th, 2020. CEUR Workshop Proceedings 2587, CEUR-WS.org 2020 [contents] - [i2]Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR abs/2011.09707 (2020) - [i1]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Application of deep learning to large scale riverine flow velocity estimation. CoRR abs/2012.02620 (2020)
2010 – 2019
- 2018
- [j6]Corey Jason Trahan, Gaurav Savant, R. C. Berger, Matthew W. Farthing, T. O. McAlpin, L. Pettey, G. K. Choudhary, Clint N. Dawson:
Formulation and application of the adaptive hydraulics three-dimensional shallow water and transport models. J. Comput. Phys. 374: 47-90 (2018) - [j5]Jean-Luc Guermond, Manuel Quezada de Luna, Bojan Popov, Christopher E. Kees, Matthew W. Farthing:
Well-Balanced Second-Order Finite Element Approximation of the Shallow Water Equations with Friction. SIAM J. Sci. Comput. 40(6): A3873-A3901 (2018) - 2016
- [j4]Alexander Lozovskiy, Matthew W. Farthing, Chris E. Kees, Eduardo Gildin:
POD-based model reduction for stabilized finite element approximations of shallow water flows. J. Comput. Appl. Math. 302: 50-70 (2016) - 2015
- [j3]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) - 2011
- [j2]I. Akkerman, Yuri Bazilevs, Chris E. Kees, Matthew W. Farthing:
Isogeometric analysis of free-surface flow. J. Comput. Phys. 230(11): 4137-4152 (2011) - [j1]Chris E. Kees, I. Akkerman, Matthew W. Farthing, Yuri Bazilevs:
A conservative level set method suitable for variable-order approximations and unstructured meshes. J. Comput. Phys. 230(12): 4536-4558 (2011)
Coauthor Index
aka: Ty Hesser
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