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… (More)
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Papers overview

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2018
2018
We present Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an… (More)
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2017
2017
We present HF-ICA, a second-order “Hessian-free” algorithm for Infomax-ICA. Our approach achieves asymptotically quadratic… (More)
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Highly Cited
2012
Highly Cited
2012
Criterion Full name Author MI Mutual Information Maximisation Various (1970s ) MIFS Mutual Information Feature Selection Battiti… (More)
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2010
2010
Recently, infomax methods of optimal control have begun to reshape how we think about active information gathering. We show how… (More)
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2010
2010
The ability to detect social contingencies plays an important role in the social and emotional development of infants. Analyzing… (More)
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2005
2005
We present a model of behavior according to which organisms react to the environment in a manner that maximizes the information… (More)
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2005
2005
  • Siwei Lyu
  • IEEE Computer Society Conference on Computer…
  • 2005
In this paper, we described an efficient feature pursuit scheme for boosting. The proposed method is based on the infomax… (More)
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2005
2005
We propose a simple information-theoretic approach to soft clustering based on maximizing the mutual information I(x, y) between… (More)
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Highly Cited
1999
Highly Cited
1999
An extension of the infomax algorithm of Bell and Sejnowski (1995) is presented that is able blindly to separate mixed signals… (More)
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Highly Cited
1997
Highly Cited
1997
Algorithms for the blind separation of sources can be derived from several different principles. This article shows that the… (More)
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