Muneki Yasuda

According to our database, Muneki Yasuda authored at least 33 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine.

Kaiji Sekimoto, Muneki Yasuda

CoRR, 2024

2022

Hierarchical Gaussian Markov Random Field for Image Denoising.

Yuki Monma, Kan Aro, Muneki Yasuda

IEICE Trans. Inf. Syst., 2022

Free Energy Evaluation Using Marginalized Annealed Importance Sampling.

Muneki Yasuda, Chako Takahashi

CoRR, 2022

Composite Spatial Monte Carlo Integration Based on Generalized Least Squares.

Kaiji Sekimoto, Muneki Yasuda

CoRR, 2022

2021

A Generalization of Spatial Monte Carlo Integration.

Muneki Yasuda, Kei Uchizawa

Neural Comput., 2021

2020

Changing Tendency Analysis of Sleep Quality on the Basis of Temperature and Respiratory Frequency Using a Neural Network Model.

Minami Tsuchiya, Seung-Il Cho, Atsushi Tanaka, Muneki Yasuda, Tomochika Harada, Michio Yokoyama

Int. J. Fuzzy Log. Intell. Syst., 2020

Spatial Monte Carlo Integration with Annealed Importance Sampling.

Muneki Yasuda, Kaiji Sekimoto

CoRR, 2020

Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment.

Muneki Yasuda, Yeo Xian En, Seishirou Ueno

CoRR, 2020

Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer.

Yuri Kanno, Muneki Yasuda

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Restricted Boltzmann Machine with Multivalued Hidden Variables.

Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda

Rev. Socionetwork Strateg., 2019

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

Kazuyuki Tanaka, Masayuki Ohzeki, Muneki Yasuda

Rev. Socionetwork Strateg., 2019

Bayesian Image Denoising with Multiple Noisy Images.

Shun Kataoka, Muneki Yasuda

Rev. Socionetwork Strateg., 2019

Improvement of Batch Normalization in Imbalanced Data.

Muneki Yasuda, Seishirou Ueno

CoRR, 2019

Empirical Bayes Method for Boltzmann Machines.

Muneki Yasuda, Tomoyuki Obuchi

CoRR, 2019

2018

Estimation System of Blood Pressure Variation with Photoplethysmography Signals Using Multiple Regression Analysis and Neural Network.

Seung-Il Cho, Takumi Negishi, Minami Tsuchiya, Muneki Yasuda, Michio Yokoyama

Int. J. Fuzzy Log. Intell. Syst., 2018

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

Muneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka

IEICE Trans. Inf. Syst., 2018

Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting.

Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda

CoRR, 2018

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

Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda

CoRR, 2018

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

Muneki Yasuda

Algorithms, 2018

2017

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

Muneki Yasuda, Shun Kataoka

CoRR, 2017

2016

Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering.

Shun Kataoka, Takuto Kobayashi, Muneki Yasuda, Kazuyuki Tanaka

CoRR, 2016

Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines.

Muneki Yasuda

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method.

Muneki Yasuda, Shun Kataoka, Kazuyuki Tanaka

CoRR, 2015

Inverse Renormalization Group Transformation in Bayesian Image Segmentations.

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki

CoRR, 2015

2014

Bayesian image segmentations by Potts prior and loopy belief propagation.

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Yuji Waizumi, Chiou-Ting Hsu

CoRR, 2014

Estimation of priors in natural images.

Tomoyuki Obuchi, Hirokazu Koma, Muneki Yasuda

CoRR, 2014

Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines.

Muneki Yasuda

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Traffic data reconstruction based on Markov random field modeling.

Shun Kataoka, Muneki Yasuda, Cyril Furtlehner, Kazuyuki Tanaka

CoRR, 2013

2012

Composite likelihood estimation for restricted Boltzmann machines.

Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010

Belief Propagation Algorithm for Portfolio Optimization Problems

Takashi Shinzato, Muneki Yasuda

CoRR, 2010

2009

Approximate Learning Algorithm in Boltzmann Machines.

Muneki Yasuda, Kazuyuki Tanaka

Neural Comput., 2009

2008

Approximate Learning Algorithm for Restricted Boltzmann Machines.

Muneki Yasuda, Kazuyuki Tanaka

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

Statistical Inferences by Gaussian Markov Random Fields on Complex Networks.

Kazuyuki Tanaka, Takafumi Usui, Muneki Yasuda

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008