Muneki Yasuda

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Image Segmentations

Loopy Belief Propagation

Boltzmann Machine

Top Venues

Rev. Socionetwork Strateg.

IEICE Trans. Inf. Syst.

Int. J. Fuzzy Log. Intell. Syst.

Publications

Kaiji Sekimoto, Muneki Yasuda
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine. CoRR (2024)
Yuki Monma, Kan Aro, Muneki Yasuda
Hierarchical Gaussian Markov Random Field for Image Denoising. IEICE Trans. Inf. Syst. (3) (2022)
Muneki Yasuda, Chako Takahashi
Free Energy Evaluation Using Marginalized Annealed Importance Sampling. CoRR (2022)
Yuri Kanno, Muneki Yasuda
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. CoRR (2022)
Kaiji Sekimoto, Muneki Yasuda
Composite Spatial Monte Carlo Integration Based on Generalized Least Squares. CoRR (2022)
Muneki Yasuda, Kei Uchizawa
A Generalization of Spatial Monte Carlo Integration. Neural Comput. 33 (4) (2021)
Yuri Kanno, Muneki Yasuda
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. ICPR (2020)
Muneki Yasuda, Kaiji Sekimoto
Spatial Monte Carlo Integration with Annealed Importance Sampling. CoRR (2020)
Muneki Yasuda, Kei Uchizawa
A Generalization of Spatial Monte Carlo Integration. CoRR (2020)
Muneki Yasuda, Yeo Xian En, Seishirou Ueno
Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment. CoRR (2020)
Minami Tsuchiya, Seung-Il Cho, Atsushi Tanaka, Muneki Yasuda, Tomochika Harada, Michio Yokoyama
Changing Tendency Analysis of Sleep Quality on the Basis of Temperature and Respiratory Frequency Using a Neural Network Model. Int. J. Fuzzy Log. Intell. Syst. 20 (2) (2020)
Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda
Restricted Boltzmann Machine with Multivalued Hidden Variables. Rev. Socionetwork Strateg. 13 (2) (2019)
Kazuyuki Tanaka, Masayuki Ohzeki, Muneki Yasuda
Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning Procedures. Rev. Socionetwork Strateg. 13 (2) (2019)
Shun Kataoka, Muneki Yasuda
Bayesian Image Denoising with Multiple Noisy Images. Rev. Socionetwork Strateg. 13 (2) (2019)
Muneki Yasuda, Seishirou Ueno
Improvement of Batch Normalization in Imbalanced Data. CoRR (2019)
Muneki Yasuda, Tomoyuki Obuchi
Empirical Bayes Method for Boltzmann Machines. CoRR (2019)
Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting. CoRR (2018)
Seung-Il Cho, Takumi Negishi, Minami Tsuchiya, Muneki Yasuda, Michio Yokoyama
Estimation System of Blood Pressure Variation with Photoplethysmography Signals Using Multiple Regression Analysis and Neural Network. Int. J. Fuzzy Log. Intell. Syst. 18 (4) (2018)
Muneki Yasuda
Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method. Algorithms 11 (4) (2018)
Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda
Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model. CoRR (2018)
Muneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field. IEICE Trans. Inf. Syst. (6) (2018)
Muneki Yasuda, Shun Kataoka
Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation. CoRR (2017)
Muneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field. CoRR (2017)
Muneki Yasuda
Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines. AISTATS (2016)
Shun Kataoka, Takuto Kobayashi, Muneki Yasuda, Kazuyuki Tanaka
Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering. CoRR (2016)
Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki
Inverse Renormalization Group Transformation in Bayesian Image Segmentations. CoRR (2015)
Muneki Yasuda, Shun Kataoka, Kazuyuki Tanaka
Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method. CoRR (2015)
Muneki Yasuda
Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines. ICPR (2014)
Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Yuji Waizumi, Chiou-Ting Hsu
Bayesian image segmentations by Potts prior and loopy belief propagation. CoRR (2014)
Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka
Composite Likelihood Estimation for Restricted Boltzmann machines. CoRR (2014)
Tomoyuki Obuchi, Hirokazu Koma, Muneki Yasuda
Estimation of priors in natural images. CoRR (2014)
Shun Kataoka, Muneki Yasuda, Cyril Furtlehner, Kazuyuki Tanaka
Traffic data reconstruction based on Markov random field modeling. CoRR (2013)
Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka
Composite likelihood estimation for restricted Boltzmann machines. ICPR (2012)
Takashi Shinzato, Muneki Yasuda
Belief Propagation Algorithm for Portfolio Optimization Problems CoRR (2010)
Muneki Yasuda, Kazuyuki Tanaka
Approximate Learning Algorithm in Boltzmann Machines. Neural Comput. 21 (11) (2009)
Muneki Yasuda, Kazuyuki Tanaka
Approximate Learning Algorithm for Restricted Boltzmann Machines. CIMCA/IAWTIC/ISE (2008)
Kazuyuki Tanaka, Takafumi Usui, Muneki Yasuda
Statistical Inferences by Gaussian Markov Random Fields on Complex Networks. CIMCA/IAWTIC/ISE (2008)