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Monte Carlo Integration Using Spatial Structure of Markov Random Field

Journal of the Physical Society of Japan, 2015-03, Vol.84 (3), p.34001

Yasuda, Muneki

2015

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A Generalization of Spatial Monte Carlo Integration

Neural computation, 2021-03, Vol.33 (4), p.1037-1062

2021

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Composite Spatial Monte Carlo Integration Based on Generalized Least Squares

Journal of the Physical Society of Japan, 2022-11, Vol.91 (11)

2022

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Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method

Algorithms, 2018-04, Vol.11 (4), p.42

Yasuda, Muneki

2018

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Empirical Bayes method for Boltzmann machines

Journal of physics. A, Mathematical and theoretical, 2020-01, Vol.53 (1), p.14004

2020

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Belief Propagation Algorithm for Portfolio Optimization Problems

PloS one, 2015-08, Vol.10 (8), p.e0134968-e0134968

2015

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Mean-Field Inference in Gaussian Restricted Boltzmann Machine

Journal of the Physical Society of Japan, 2016-03, Vol.85 (3), p.34001

2016

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Adaptive Thouless–Anderson–Palmer Equation for Higher-order Markov Random Fields

Journal of the Physical Society of Japan, 2020-06, Vol.89 (6), p.64007

2020

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Hierarchical Gaussian Markov Random Field for Image Denoising

IEICE Transactions on Information and Systems, 2022/03/01, Vol.E105.D(3), pp.689-699

2022

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Free energy evaluation using marginalized annealed importance sampling

Physical review. E, 2022-08, Vol.106 (2), Article 024127

2022

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Solving Non-parametric Inverse Problem in Continuous Markov Random Field Using Loopy Belief Propagation

Journal of the Physical Society of Japan, 2017-08, Vol.86 (8), p.84806

2017

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Boltzmann-Machine Learning of Prior Distributions of Binarized Natural Images

Journal of the Physical Society of Japan, 2016-11, Vol.85 (11), p.114803

2016

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Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model

Journal of the Physical Society of Japan, 2018-08, Vol.87 (8), p.85001

2018

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Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering

Journal of the Physical Society of Japan, 2016-11, Vol.85 (11), p.114802

2016

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Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines

2014 22nd International Conference on Pattern Recognition, 2014, p.3600-3605

Yasuda, Muneki

2014

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Perturbative Interpretation of Adaptive Thouless-Anderson-Palmer Free Energy

Journal of the Physical Society of Japan, 2016-07, Vol.85 (7), p.75001

2016

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Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field

IEICE Transactions on Information and Systems, 2018/06/01, Vol.E101.D(6), pp.1629-1639

2018

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Approximate Learning Algorithm in Boltzmann Machines

Neural computation, 2009-11, Vol.21 (11), p.3130-3178

2009

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Inverse Renormalization Group Transformation in Bayesian Image Segmentations

Journal of the Physical Society of Japan, 2015-04, Vol.84 (4), p.45001

2015

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Effective sampling on Gaussian-Bernoulli restricted Boltzmann machines

Nonlinear Theory and Its Applications, IEICE, 2024, Vol.15 (2), p.217-225

Yasuda, Muneki

2024

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Traffic data reconstruction based on Markov random field modeling

Inverse problems, 2014-02, Vol.30 (2), p.25003-14

2014

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Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning Procedures

The review of socionetwork strategies, 2019-10, Vol.13 (2), p.281-306

2019

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Bayesian Image Segmentations by Potts Prior and Loopy Belief Propagation

Journal of the Physical Society of Japan, 2014-12, Vol.83 (12), p.124002

2014

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Inverse Problem in Pairwise Markov Random Fields Using Loopy Belief Propagation

Journal of the Physical Society of Japan, 2012-04, Vol.81 (4), p.44801

2012

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Bayesian Image Modeling by Means of a Generalized Sparse Prior and Loopy Belief Propagation

Journal of the Physical Society of Japan, 2012-11, Vol.81 (11), p.114802

2012

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Monte Carlo Integration Using Spatial Structure of Markov Random Field

A Generalization of Spatial Monte Carlo Integration

Composite Spatial Monte Carlo Integration Based on Generalized Least Squares

Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method

Empirical Bayes method for Boltzmann machines

Belief Propagation Algorithm for Portfolio Optimization Problems

Mean-Field Inference in Gaussian Restricted Boltzmann Machine

Adaptive Thouless–Anderson–Palmer Equation for Higher-order Markov Random Fields

Hierarchical Gaussian Markov Random Field for Image Denoising

Free energy evaluation using marginalized annealed importance sampling

Solving Non-parametric Inverse Problem in Continuous Markov Random Field Using Loopy Belief Propagation

Boltzmann-Machine Learning of Prior Distributions of Binarized Natural Images

Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model

Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering

Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines

Perturbative Interpretation of Adaptive Thouless-Anderson-Palmer Free Energy

Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field

Approximate Learning Algorithm in Boltzmann Machines

Inverse Renormalization Group Transformation in Bayesian Image Segmentations

Effective sampling on Gaussian-Bernoulli restricted Boltzmann machines

Traffic data reconstruction based on Markov random field modeling

Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning Procedures

Bayesian Image Segmentations by Potts Prior and Loopy Belief Propagation

Inverse Problem in Pairwise Markov Random Fields Using Loopy Belief Propagation

Bayesian Image Modeling by Means of a Generalized Sparse Prior and Loopy Belief Propagation

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