A trans-disciplinary review of deep learning research for water resources scientists

6 December 2017

Papers citing "A trans-disciplinary review of deep learning research for water resources scientists"

22 / 22 papers shown

Title
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 32 6 0 12 Oct 2023
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management Muneeza Azmat Malvern Madondo Kelsey L. DiPietro R. Horesh Arun Bawa Michael Jacobs Raghavan Srinivasan Fearghal O'Donncha 16 4 0 12 Dec 2022
Towards Daily High-resolution Inundation Observations using Deep Learning and EO A. Dasgupta Lasse Hybbeneth B. Waske AI4CE 25 2 0 10 Aug 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 27 28 0 17 Jun 2022
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers Xiaofeng Liu Yalan Song Chaopeng Shen AI4CE 22 9 0 05 Mar 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 19 73 0 07 Feb 2022
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling K. Ishida A. Ercan T. Nagasato M. Kiyama Motoki Amagasaki AI4TS 14 2 0 07 Nov 2021
Machine Learning for Postprocessing Ensemble Streamflow Forecasts Sanjib Sharma G. Ghimire Ridwan Siddique AI4Cl 13 13 0 15 Jun 2021
Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM Kazuki Yokoo K. Ishida A. Ercan T. Tu T. Nagasato M. Kiyama Motoki Amagasaki 16 33 0 15 Jun 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 28 75 0 18 Mar 2021
Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy Wenyu Ouyang K. Lawson D. Feng L. Ye Chi Zhang Chaopeng Shen AI4TS AI4CE 54 60 0 12 Jan 2021
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning J. Willard J. Read A. Appling S. Oliver X. Jia Vipin Kumar AI4TS 14 55 0 10 Nov 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 32 160 0 16 Jun 2020
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 25 226 0 24 Oct 2019
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 14 272 0 02 Jul 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 172 1,778 0 02 Mar 2017
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks Evan Racah Seyoon Ko Peter Sadowski W. Bhimji C. Tull Sang-Yun Oh Pierre Baldi P. Prabhat 32 32 0 28 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012