Matthew W. Farthing

29 papers Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Neural Operator-Based Emulator for Regional Shallow Water Dynamics. CoRR Peter Rivera-Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Jason Trahan, Jonghyun Lee, Matthew W. Farthing, Clint Dawson
2024	J	`jnl`	Multi-fidelity Hamiltonian Monte Carlo. CoRR Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve
2023	J	`jnl`	Automated Extraction of a Depth-Defined Wave Runup Time Series From Lidar Data Using Deep Learning. IEEE Trans. Geosci. Remote. Sens. Adam Collins, Annika O'Dea, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing
2023	J	`jnl`	Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR 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
2021	J	`jnl`	A greedy non-intrusive reduced order model for shallow water equations. J. Comput. Phys. Sourav Dutta, Matthew W. Farthing, Emma Perracchione, Gaurav Savant, Mario Putti
2021	J	`jnl`	Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs. CoRR Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti
2021	—	`conf`	Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
2021	J	`jnl`	Deep learning-based fast solver of the shallow water equations. CoRR Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
2021	J	`jnl`	Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC. Remote. Sens. Adam Collins, Matthew P. Geheran, Tyler J. Hesser, Andrew Spicer Bak, Katherine L. Brodie, Matthew W. Farthing
2021	J	`jnl`	Intrinsic finite element method for advection-diffusion-reaction equations on surfaces. J. Comput. Phys. Elena Bachini, Matthew W. Farthing, Mario Putti
2021	—	`conf`	Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics. AAAI Spring Symposium: MLPS Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing
2021	J	`jnl`	Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics. CoRR Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing
2021	—	`conf`	Preface. AAAI Spring Symposium: MLPS Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
2021	—	`ed.`	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. AAAI Spring Symposium: MLPS Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser
2021	J	`jnl`	Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. CoRR Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
2021	J	`jnl`	pyNIROM - A suite of python modules for non-intrusive reduced order modeling of time-dependent problems. Softw. Impacts Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing
2020	—	`conf`	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 Adam Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Douglas W. Gamble, Joseph W. Long
2020	J	`jnl`	Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
2020	J	`jnl`	Application of deep learning to large scale riverine flow velocity estimation. CoRR Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
2020	J	`jnl`	Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning. Remote. Sens. Adam Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long
2020	—	`conf`	Preface. AAAI Spring Symposium: MLPS Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
2020	—	`ed.`	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. AAAI Spring Symposium: MLPS Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
2020	—	`conf`	Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements. AAAI Spring Symposium: MLPS Yizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve
2018	J	`jnl`	Formulation and application of the adaptive hydraulics three-dimensional shallow water and transport models. J. Comput. Phys. Corey Jason Trahan, Gaurav Savant, R. C. Berger, Matthew W. Farthing, T. O. McAlpin, L. Pettey, G. K. Choudhary, Clint N. Dawson
2018	J	`jnl`	Well-Balanced Second-Order Finite Element Approximation of the Shallow Water Equations with Friction. SIAM J. Sci. Comput. Jean-Luc Guermond, Manuel Quezada de Luna, Bojan Popov, Christopher E. Kees, Matthew W. Farthing
2016	J	`jnl`	POD-based model reduction for stabilized finite element approximations of shallow water flows. J. Comput. Appl. Math. Alexander Lozovskiy, Matthew W. Farthing, Chris E. Kees, Eduardo Gildin
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
2011	J	`jnl`	A conservative level set method suitable for variable-order approximations and unstructured meshes. J. Comput. Phys. Chris E. Kees, I. Akkerman, Matthew W. Farthing, Yuri Bazilevs
2011	J	`jnl`	Isogeometric analysis of free-surface flow. J. Comput. Phys. I. Akkerman, Yuri Bazilevs, Chris E. Kees, Matthew W. Farthing