Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network

20 July 2017

Papers citing "Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network"

7 / 7 papers shown

Title
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 131 687 0 06 Dec 2017
Recurrent Dropout without Memory Loss Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 52 222 0 16 Mar 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 116 1,644 0 16 Dec 2015
rnn : Recurrent Library for Torch Nicholas Léonard Sagar M. Waghmare Yang Wang Jin-Hwa Kim 42 42 0 24 Nov 2015
A Critical Review of Recurrent Neural Networks for Sequence Learning Zachary Chase Lipton John Berkowitz Charles Elkan 69 2,327 0 29 May 2015
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 75 5,283 0 13 Mar 2015
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 104 2,768 0 08 Sep 2014