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"

21 / 21 papers shown

Title
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 42 228 0 24 Oct 2019
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network E. Laloy Romain Hérault J. Lee D. Jacques N. Linde 41 194 0 25 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 70 3,005 0 19 Oct 2017
Deep learning in remote sensing: a review Xiaoxiang Zhu D. Tuia Lichao Mou Gui-Song Xia Liangpei Zhang Feng Xu Friedrich Fraundorfer 53 1,602 0 11 Oct 2017
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network K. Fang Chaopeng Shen Daniel Kifer Xiaohu Yang AI4TS 20 226 0 20 Jul 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 84 1,801 0 16 Jun 2017
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity Joseph Gomes Bharath Ramsundar Evan N. Feinberg Vijay S. Pande 39 192 0 30 Mar 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 210 10,646 0 15 Sep 2016
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes Carlo Baldassi C. Borgs J. Chayes Alessandro Ingrosso Carlo Lucibello Luca Saglietti R. Zecchina 40 166 0 20 May 2016
Recurrent Dropout without Memory Loss Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 43 222 0 16 Mar 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 24 4,587 0 10 Feb 2016
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification Keiller Nogueira O. A. B. Penatti J. A. dos Santos 39 831 0 04 Feb 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 106 731 0 12 Dec 2015
Jet-Images -- Deep Learning Edition Luke de Oliveira Michael Kagan Lester W. Mackey Benjamin Nachman A. Schwartzman PINN 37 309 0 16 Nov 2015
Visualizing and Understanding Recurrent Networks A. Karpathy Justin Johnson Li Fei-Fei HAI 66 1,100 0 05 Jun 2015
Massively Multitask Networks for Drug Discovery Bharath Ramsundar S. Kearnes Patrick F. Riley D. Webster D. Konerding Vijay S. Pande 49 470 0 06 Feb 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 74 1,959 0 26 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 67 8,309 0 06 Nov 2014
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 49 1,178 0 02 Nov 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 326 7,650 0 03 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 110 12,384 0 24 Jun 2012