Variational method (quantum mechanics)

In quantum mechanics, the variational method is one way of finding approximations to the lowest energy eigenstate or ground state, and some excited… (More)
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Applications of the calculus of variationsApproximationExpectation value (quantum mechanics)Full configuration interaction
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Computational chemistry

Papers overview

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Highly Cited
2014
Highly Cited
2014
Black Box Variational Inference
Variational inference has become a widely used method to approximate posteriors in complex latent variables models. However… (More)
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Highly Cited
2009
Highly Cited
2009
Variational Learning of Inducing Variables in Sparse Gaussian Processes
Sparse Gaussian process methods that use inducing variables require the selection of the inducing inputs and the kernel… (More)
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Highly Cited
2007
Highly Cited
2007
The JRA-25 Reanalysis
A long-term global atmospheric reanalysis, named ‘‘Japanese 25-year Reanalysis (JRA-25)’’ was completed using the Japan… (More)
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Highly Cited
2005
Highly Cited
2005
Variational Message Passing
Bayesian inference is now widely established as one of the pr inci al foundations for machine learning. In practice, exact… (More)
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Highly Cited
2004
Highly Cited
2004
Sparse Bayesian learning for basis selection
Sparse Bayesian learning (SBL) and specifically relevance vector machines have received much attention in the machine learning… (More)
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Highly Cited
2003
Highly Cited
2003
A Generalized Mean Field Algorithm for Variational Inference in Exponential Families
We present a class of generalized mean field (GMF) algorithms for approximate inference in exponential family graphical models… (More)
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Highly Cited
2000
Highly Cited
2000
A remarkable periodic solution of the three-body problem in the case of equal masses
Using a variational method, we exhibit a surprisingly simple periodic orbit for the newtonian problem of three equal masses in… (More)
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Highly Cited
1997
Highly Cited
1997
A VARIATIONAL METHOD IN IMAGE RECOVERY
This paper is concerned with a classical denoising and deblurring problem in image recovery. Our approach is based on a… (More)
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Highly Cited
1994
Highly Cited
1994
Region-based strategies for active contour models
The variational method has been introduced by Kass et al. (1987) in the field of object contour modeling, as an alternative to… (More)
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Highly Cited
1992
Highly Cited
1992
A novel discrete variable representation for quantum mechanical reactive scattering via the S-matrix Kohn method
A novel discrete variable representation (DVR) is introduced for use as the L 2 basis of the Smatrix version of the Kohn… (More)
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