Mean field particle methods

Mean field particle methods are a broad class of interacting type Monte Carlo algorithms for simulating from a sequence of probability distributions… (More)
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Topic mentions per year

1980-2017
0204019802017

Papers overview

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Review
2016
Review
2016
We review some classical and more recent results for the derivation of mean field equations from systems of many particles… (More)
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2014
2014
Mean-field games have been studied under the assumption of very large number of players. For such large systems, the basic idea… (More)
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Highly Cited
2012
Highly Cited
2012
Crowdsourcing has become a popular paradigm for labeling large datasets. However, it has given rise to the computational task of… (More)
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Highly Cited
2012
Highly Cited
2012
Recently, fusion of low- and high-dimensional approaches shows its success in the generic human motion tracking. However, how to… (More)
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2009
2009
This article is concerned with the fluctuations and the concentration properties of a general class of discrete generation and… (More)
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Review
2007
Review
2007
We survey here some recent studies concerning what we call mean-field models by analogy with Statistical Mechanics and Physics… (More)
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Highly Cited
2002
Highly Cited
2002
Several problems in statistical physics, information sciences or neural computing require probabilistic modeling of multivariable… (More)
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Highly Cited
2002
Highly Cited
2002
Side-chain prediction is an important subtask in the protein-folding problem. We show that finding a minimal energy side-chain… (More)
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Highly Cited
1994
Highly Cited
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering… (More)
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Highly Cited
1991
Highly Cited
1991
We attempt to unify several approaches to image segmentation in early vision under a common framework. The Bayesian approach is… (More)
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