Alert button
Picture for Charles Sutton

Charles Sutton

Alert button

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

Nov 06, 2017
Akash Srivastava, Lazar Valkov, Chris Russell, Michael U. Gutmann, Charles Sutton

Figure 1 for VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Figure 2 for VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Figure 3 for VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Figure 4 for VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Viaarxiv icon

Sequence-to-point learning with neural networks for nonintrusive load monitoring

Sep 18, 2017
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel Goddard, Charles Sutton

Figure 1 for Sequence-to-point learning with neural networks for nonintrusive load monitoring
Figure 2 for Sequence-to-point learning with neural networks for nonintrusive load monitoring
Figure 3 for Sequence-to-point learning with neural networks for nonintrusive load monitoring
Figure 4 for Sequence-to-point learning with neural networks for nonintrusive load monitoring
Viaarxiv icon

Learning Continuous Semantic Representations of Symbolic Expressions

Jun 10, 2017
Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton

Figure 1 for Learning Continuous Semantic Representations of Symbolic Expressions
Figure 2 for Learning Continuous Semantic Representations of Symbolic Expressions
Figure 3 for Learning Continuous Semantic Representations of Symbolic Expressions
Figure 4 for Learning Continuous Semantic Representations of Symbolic Expressions
Viaarxiv icon

Autoencoding Variational Inference For Topic Models

Mar 04, 2017
Akash Srivastava, Charles Sutton

Figure 1 for Autoencoding Variational Inference For Topic Models
Figure 2 for Autoencoding Variational Inference For Topic Models
Figure 3 for Autoencoding Variational Inference For Topic Models
Figure 4 for Autoencoding Variational Inference For Topic Models
Viaarxiv icon

A Bayesian Network Model for Interesting Itemsets

Nov 11, 2016
Jaroslav Fowkes, Charles Sutton

Figure 1 for A Bayesian Network Model for Interesting Itemsets
Figure 2 for A Bayesian Network Model for Interesting Itemsets
Figure 3 for A Bayesian Network Model for Interesting Itemsets
Figure 4 for A Bayesian Network Model for Interesting Itemsets
Viaarxiv icon

A Subsequence Interleaving Model for Sequential Pattern Mining

Nov 11, 2016
Jaroslav Fowkes, Charles Sutton

Figure 1 for A Subsequence Interleaving Model for Sequential Pattern Mining
Figure 2 for A Subsequence Interleaving Model for Sequential Pattern Mining
Figure 3 for A Subsequence Interleaving Model for Sequential Pattern Mining
Figure 4 for A Subsequence Interleaving Model for Sequential Pattern Mining
Viaarxiv icon

Blending LSTMs into CNNs

Sep 14, 2016
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Ozlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton

Figure 1 for Blending LSTMs into CNNs
Figure 2 for Blending LSTMs into CNNs
Figure 3 for Blending LSTMs into CNNs
Figure 4 for Blending LSTMs into CNNs
Viaarxiv icon

Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation

Jun 19, 2016
Akash Srivastava, James Zou, Ryan P. Adams, Charles Sutton

Figure 1 for Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Figure 2 for Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Figure 3 for Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Viaarxiv icon

A Convolutional Attention Network for Extreme Summarization of Source Code

May 25, 2016
Miltiadis Allamanis, Hao Peng, Charles Sutton

Figure 1 for A Convolutional Attention Network for Extreme Summarization of Source Code
Figure 2 for A Convolutional Attention Network for Extreme Summarization of Source Code
Figure 3 for A Convolutional Attention Network for Extreme Summarization of Source Code
Figure 4 for A Convolutional Attention Network for Extreme Summarization of Source Code
Viaarxiv icon