Skip to search formSkip to main content

You are currently offline. Some features of the site may not work correctly.

Semantic Scholar uses AI to extract papers important to this topic.

Highly Cited

2016

Highly Cited

2016

We introduce the "exponential linear unit" (ELU) which speeds up learning in deep neural networks and leads to higher… Expand

Is this relevant?

Highly Cited

2016

Highly Cited

2016

This is the first comprehensive book on information geometry, written by the founder of the field. It begins with an elementary… Expand

Is this relevant?

Highly Cited

2015

Highly Cited

2015

We prove the equivalence of two online learning algorithms: 1) mirror descent and 2) natural gradient descent. Both mirror… Expand

Is this relevant?

Highly Cited

2012

Highly Cited

2012

Information geometry is a new mathematical discipline which applies the methodology of differential geometry to statistics… Expand

Is this relevant?

Highly Cited

2010

Highly Cited

2010

Measures of divergence between two points play a key role in many engineering problems. One such measure is a distance function… Expand

Is this relevant?

Highly Cited

2008

Highly Cited

2008

This paper presents natural evolution strategies (NES), a novel algorithm for performing real-valued dasiablack boxpsila function… Expand

Is this relevant?

Highly Cited

2001

Highly Cited

2001

An exponential family or mixture family of probability distributions has a natural hierarchical structure. This paper gives an… Expand

Is this relevant?

Highly Cited

2000

Highly Cited

1997

Highly Cited

1997

There are two major approaches for blind separation: maximum entropy (ME) and minimum mutual information (MMI). Both can be… Expand

Is this relevant?

Highly Cited

1995

Highly Cited

1995

Abstract To realize an input-output relation given by noise-contaminated examples, it is effective to use a stochastic model of… Expand

Is this relevant?