Generative Modelling Language

Known as: GML 
Generative Modelling Language (GML) in computer graphics and generative computer programming is a very simple programming language for the concise… (More)
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Papers overview

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2018
2018
We propose Cooperative Training (CoT) for training generative models that measure a tractable density function for target data… (More)
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Review
2017
Review
2017
Understanding the nature of dark energy, the mysterious force driving the accelerated expansion of the Universe, is a major… (More)
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Review
2016
Review
2016
This report summarizes the tutorial presented by the author at NIPS 2016 on generative adversarial networks (GANs). The tutorial… (More)
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Highly Cited
2016
Highly Cited
2016
Generative adversarial networks (GANs) are a recently proposed class of generative models in which a generator is trained to… (More)
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2014
2014
Attention has long been proposed by psychologists to be important for efficiently dealing with the massive amounts of sensory… (More)
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2011
2011
We propose a top down approach for understanding indoor scenes such as bedrooms and living rooms. These environments typically… (More)
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2005
2005
PRISM is a logic-based Turing-complete symbolicstatistical modeling language with a built-in parameter learning routine. In this… (More)
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Highly Cited
2002
Highly Cited
2002
I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and… (More)
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Highly Cited
2001
Highly Cited
2001
One key difficulty with text classification learning algorithms is that they require many hand-labeled examples to learn… (More)
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Highly Cited
1999
Highly Cited
1999
We present a general framework for discriminative estimation based on the maximum entropy principle and its extensions. All… (More)
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