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Then detection and identification of extreme weather events in large-scale climate simulations is an important problem for risk management, informing governmental policy decisions and advancing our basic understanding of the climate system.
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L.J.P van der Maaten and G.E. Hinton · 2008
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Empirical orthogonal functions: The medium is the message
Adam H Monahan, John C Fyfe, Maarten HP Ambaum, David B Stephenson, and Gerald R North · 2009
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Comparing predictive power in climate data: Clustering matters
Karsten Steinhaeuser, Nitesh Chawla, and Auroop Ganguly · 2011
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Description of the ncar community atmosphere model (cam 5.0)
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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David A. Lavers, Gabriele Villarini, Richard P. Allan, Eric F. Wood, and Andrew J. Wade · 2012
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Prabhat, Oliver Rubel, Surendra Byna, Kesheng Wu, Fuyu Li, Michael Wehner, and Wes Bethel · 2012
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Rectifier nonlinearities improve neural network acoustic models
Awni Y. Hannun Andrew L. Maas and Andrew Y. Ng · 2013
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3d convolutional neural networks for human action recognition
Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu · 2013
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Diederik P Kingma and Max Welling · 2013
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Urs Neu, Mirseid G. Akperov, Nina Bellenbaum, Rasmus Benestad, Richard Blender, Rodrigo Caballero, Angela Cocozza, Helen F. Dacre, Yang Feng, Klaus Fraedrich, Jens Grieger, Sergey Gulev, John Hanley, Tim Hewson, Masaru Inatsu, Kevin Keay, Sarah F. Kew, Ina Kindem, Gregor C. Leckebusch, Margarida L. R. Liberato, Piero Lionello, Igor I. Mokhov, Joaquim G. Pinto, Christoph C. Raible, Marco Reale, Irina Rudeva, Mareike Schuster, Ian Simmonds, Mark Sinclair, Michael Sprenger, Natalia D. Tilinina, Isabel F. Trigo, Sven Ulbrich, Uwe Ulbrich, Xiaolan L. Wang, and Heini Wernli · 2013
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Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, and Yann LeCun · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2014
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Deepdriving: Learning affordance for direct perception in autonomous driving
Chenyi Chen, Ari Seff, Alain Kornhauser, and Jianxiong Xiao · 2015
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Long-term recurrent convolutional networks for visual recognition and description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Recurrent neural networks for emotion recognition in video
Samira Ebrahimi Kahou, Vincent Michalski, Kishore Konda, Roland Memisevic, and Christopher Pal · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, and Scott Reed · 2015
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Resolution dependence of future tropical cyclone projections of cam5.1 in the u.s. clivar hurricane working group idealized configurations
Michael Wehner, Prabhat, Kevin A. Reed, Dáithí Stone, William D. Collins, and Julio Bacmeister · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting
Shi Xingjian, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, and Wang-chun Woo · 2015
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Describing videos by exploiting temporal structure
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, and Aaron Courville · 2015
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Stacked what-where auto-encoders
Junbo Zhao, Michael Mathieu, Ross Goroshin, and Yann Lecun · 2015
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Delving deeper into convolutional networks for learning video representations
Nicolas Ballas, Li Yao, Chris Pal, and Aaron Courville · 2016
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian J. Goodfellow · 2015
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Watch and learn: Semi-supervised learning of object detectors from videos
Ishan Misra, Abhinav Shrivastava, and Martial Hebert · 2015
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Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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Teca: Petascale pattern recognition for climate science
Prabhat, Surendra Byna, Venkatram Vishwanath, Eli Dart, Michael Wehner, and William D. Collins · 2015
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Semi-supervised learning with ladder networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko · 2015
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, and Ali Farhadi · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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