Matthew W. Farthing

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 23

Top Topics

Convolutional Neural Network

Interpolation Methods

Top Venues

AAAI Spring Symposium: MLPS

J. Comput. Phys.

Publications

Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve
Multi-fidelity Hamiltonian Monte Carlo. CoRR (2024)
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 (2023)
Elena Bachini, Matthew W. Farthing, Mario Putti
Intrinsic finite element method for advection-diffusion-reaction equations on surfaces. J. Comput. Phys. 424 (2021)
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
Preface. AAAI Spring Symposium: MLPS (2021)
Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing
Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics. CoRR (2021)
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)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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)
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) (2021)
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 (2021)
Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR (2020)
Adam Collins, Katherine L. Brodie, 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) (2020)
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 (2020)
Adam Collins, Katherine L. Brodie, 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)
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
Preface. AAAI Spring Symposium: MLPS (2020)
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)
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) (2018)
C. J. 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 (2018)
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 (2016)
Kathleen R. Fowler, E. 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 (2015)
Chris E. Kees, I. Akkerman, Matthew W. Farthing, Y. Bazilevs
A conservative level set method suitable for variable-order approximations and unstructured meshes. J. Comput. Phys. 230 (12) (2011)
I. Akkerman, Y. Bazilevs, Chris E. Kees, Matthew W. Farthing
Isogeometric analysis of free-surface flow. J. Comput. Phys. 230 (11) (2011)