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Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry., , , , , , and . CoRR, (2020)Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements., , , , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model Celeris., , , , , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC., , , , , and . Remote. Sens., 13 (23): 4907 (2021)A decision making framework with MODFLOW-FMP2 via optimization: Determining trade-offs in crop selection., , , , , and . Environ. Model. Softw., (2015)Formulation and application of the adaptive hydraulics three-dimensional shallow water and transport models., , , , , , , and . J. Comput. Phys., (2018)Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry., , , , , , and . CoRR, (2021)Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics., , and . AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Differentiable modeling to unify machine learning and physical models and advance Geosciences., , , , , , , , , and 19 other author(s). CoRR, (2023)Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning., , , , , , and . Remote. Sens., 12 (20): 3364 (2020)