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Infomax

Known as: Infomax principle 
Infomax is an optimization principle for artificial neural networks and other information processing systems. It prescribes that a function that maps… Expand
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Papers overview

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Highly Cited
2019
Highly Cited
2019
We present Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an… Expand
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2017
2017
With an increased interest to develop brain-computer interface (BCI) applications that can be used in real-world contexts, comes… Expand
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Highly Cited
2013
Highly Cited
2013
In a lifelong learning framework, an agent acquires knowledge incrementally over consecutive learning tasks, continually building… Expand
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Highly Cited
2009
Highly Cited
2009
Modern machine learning-based approaches to computer vision require very large databases of hand labeled images. Some… Expand
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2009
2009
The blind source separation problem arises when one attempts to recover source signals from their linear mixtures without… Expand
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Highly Cited
2006
Highly Cited
2006
The paper introduces a new framework for feature learning in classification motivated by information theory. We first… Expand
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Highly Cited
2005
Highly Cited
2005
We introduce two new functionals, the constrained covariance and the kernel mutual information, to measure the degree of… Expand
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Highly Cited
2002
Highly Cited
2002
  • Ming-Hsuan Yang
  • Proceedings of Fifth IEEE International…
  • 2002
  • Corpus ID: 9889431
Principal Component A nalysis and Fisher Linear Discriminant methods have demonstrated their success in fac edete ction, r… Expand
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Highly Cited
1993
Highly Cited
1993
We attempt to maximise mutual information in a neural network where the output signal is corrupted by noise in the transmission… Expand
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Highly Cited
1988
Highly Cited
1988
This paper addresses the problem of determining the weights for a set of linear filters (model "cells") so as to maximize the… Expand
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