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1605.01156
Cited By

Application of Deep Convolutional Neural Networks for Detecting Extreme
Weather in Climate Datasets

Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

4 May 2016

A. Khosrowshahi

ArXiv (abs)PDF HTML

Papers citing "Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets"

16 / 66 papers shown

Enforcing Statistical Constraints in Generative Adversarial Networks for
Modeling Chaotic Dynamical Systems

Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical SystemsJournal of Computational Physics (JCP), 2019

183

145

0

13 May 2019

A test case for application of convolutional neural networks to
spatio-temporal climate data: Re-identifying clustered weather patterns

A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns

Ashesh Chattopadhyay

Pedram Hassanzadeh

181

150

0

12 Nov 2018

Discovering state-parameter mappings in subsurface models using
generative adversarial networks

Discovering state-parameter mappings in subsurface models using generative adversarial networks

136

83

0

30 Oct 2018

Exascale Deep Learning for Climate Analytics

Exascale Deep Learning for Climate Analytics

...

Michael A. Matheson

Michael Houston

250

279

0

03 Oct 2018

Improving Subseasonal Forecasting in the Western U.S. with Machine
Learning

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

Paulo Orenstein

Lester W. Mackey

173

82

0

19 Sep 2018

Neural networks for post-processing ensemble weather forecasts

Neural networks for post-processing ensemble weather forecasts

Sebastian Lerch

252

403

0

23 May 2018

GossipGraD: Scalable Deep Learning using Gossip Communication based
Asynchronous Gradient Descent

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Vinay C. Amatya

160

99

0

15 Mar 2018

Local Causal States and Discrete Coherent Structures

Local Causal States and Discrete Coherent Structures

James P. Crutchfield

163

23

0

01 Jan 2018

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

Ala I. Al-Fuqaha

338

1,156

0

09 Dec 2017

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

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

499

832

0

06 Dec 2017

Machine Learning for the Geosciences: Challenges and Opportunities

Machine Learning for the Geosciences: Challenges and Opportunities

Anuj Karpatne

I. Ebert‐Uphoff

180

479

0

13 Nov 2017

What does fault tolerant Deep Learning need from MPI?

What does fault tolerant Deep Learning need from MPI?

Vinay C. Amatya

170

19

0

11 Sep 2017

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for
Scientific Data

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data

Alexia Jolicoeur-Martineau

...

Mikhail Shiryaev

Srinivas Sridharan

205

84

0

17 Aug 2017

User-transparent Distributed TensorFlow

User-transparent Distributed TensorFlow

116

5

0

15 Apr 2017

Application of Multi-channel 3D-cube Successive Convolution Network for
Convective Storm Nowcasting

Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting

260

38

0

15 Feb 2017

ExtremeWeather: A large-scale climate dataset for semi-supervised
detection, localization, and understanding of extreme weather events

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events

Christopher Beckham

Samira Ebrahimi Kahou

317

18

0

07 Dec 2016

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