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ORCIDMuneki Yasuda
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Journal Articles
- 2022
[j10]Yuki Monma, Kan Aro, Muneki Yasuda:
Hierarchical Gaussian Markov Random Field for Image Denoising. IEICE Trans. Inf. Syst. 105-D(3): 689-699 (2022)- 2021
- [j9]Muneki Yasuda, Kei Uchizawa
:
A Generalization of Spatial Monte Carlo Integration. Neural Comput. 33(4): 1037-1062 (2021) - 2020
- [j8]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): 87-95 (2020) - 2019
- [j7]Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda:
Restricted Boltzmann Machine with Multivalued Hidden Variables. Rev. Socionetwork Strateg. 13(2): 253-266 (2019) - [j6]Shun Kataoka, Muneki Yasuda:
Bayesian Image Denoising with Multiple Noisy Images. Rev. Socionetwork Strateg. 13(2): 267-280 (2019) - [j5]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): 281-306 (2019) - 2018
- [j4]Muneki Yasuda:
Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method. Algorithms 11(4): 42 (2018) - [j3]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. 101-D(6): 1629-1639 (2018) - [j2]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): 229-236 (2018) - 2009
- [j1]Muneki Yasuda, Kazuyuki Tanaka:
Approximate Learning Algorithm in Boltzmann Machines. Neural Comput. 21(11): 3130-3178 (2009)
Conference and Workshop Papers
- 2020
- [c6]Yuri Kanno, Muneki Yasuda:
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. ICPR 2020: 7655-7660 - 2016
- [c5]Muneki Yasuda:
Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines. AISTATS 2016: 582-590 - 2014
- [c4]Muneki Yasuda:
Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines. ICPR 2014: 3600-3605 - 2012
- [c3]Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka:
Composite likelihood estimation for restricted Boltzmann machines. ICPR 2012: 2234-2237 - 2008
- [c2]Kazuyuki Tanaka, Takafumi Usui, Muneki Yasuda:
Statistical Inferences by Gaussian Markov Random Fields on Complex Networks. CIMCA/IAWTIC/ISE 2008: 214-219 - [c1]Muneki Yasuda, Kazuyuki Tanaka:
Approximate Learning Algorithm for Restricted Boltzmann Machines. CIMCA/IAWTIC/ISE 2008: 692-697
Informal and Other Publications
- 2024
- [i22]Kaiji Sekimoto, Muneki Yasuda:
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine. CoRR abs/2403.12672 (2024) - [i21]Muneki Yasuda, Ryosuke Maeno, Chako Takahashi:
Dataset-Free Weight-Initialization on Restricted Boltzmann Machine. CoRR abs/2409.07708 (2024) - 2022
- [i20]Kaiji Sekimoto, Muneki Yasuda:
Composite Spatial Monte Carlo Integration Based on Generalized Least Squares. CoRR abs/2204.03248 (2022) - [i19]Muneki Yasuda, Chako Takahashi:
Free Energy Evaluation Using Marginalized Annealed Importance Sampling. CoRR abs/2204.03784 (2022) - [i18]Yuri Kanno, Muneki Yasuda:
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. CoRR abs/2210.15434 (2022) - 2020
- [i17]Muneki Yasuda, Yeo Xian En, Seishirou Ueno:
Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment. CoRR abs/2001.01433 (2020) - [i16]Muneki Yasuda, Kei Uchizawa:
A Generalization of Spatial Monte Carlo Integration. CoRR abs/2009.02165 (2020) - [i15]Muneki Yasuda, Kaiji Sekimoto:
Spatial Monte Carlo Integration with Annealed Importance Sampling. CoRR abs/2012.11198 (2020) - 2019
- [i14]Muneki Yasuda, Tomoyuki Obuchi:
Empirical Bayes Method for Boltzmann Machines. CoRR abs/1906.06002 (2019) - [i13]Muneki Yasuda, Seishirou Ueno:
Improvement of Batch Normalization in Imbalanced Data. CoRR abs/1911.10687 (2019) - 2018
- [i12]Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda:
Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model. CoRR abs/1804.00727 (2018) - [i11]Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda:
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting. CoRR abs/1811.12587 (2018) - 2017
- [i10]Muneki Yasuda, Shun Kataoka:
Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation. CoRR abs/1703.09397 (2017) - [i9]Muneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka:
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field. CoRR abs/1710.07393 (2017) - 2016
- [i8]Shun Kataoka, Takuto Kobayashi, Muneki Yasuda, Kazuyuki Tanaka:
Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering. CoRR abs/1608.00920 (2016) - 2015
- [i7]Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki:
Inverse Renormalization Group Transformation in Bayesian Image Segmentations. CoRR abs/1501.00834 (2015) - [i6]Muneki Yasuda, Shun Kataoka, Kazuyuki Tanaka:
Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method. CoRR abs/1503.04585 (2015) - 2014
- [i5]Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Yuji Waizumi, Chiou-Ting Hsu:
Bayesian image segmentations by Potts prior and loopy belief propagation. CoRR abs/1404.3012 (2014) - [i4]Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka:
Composite Likelihood Estimation for Restricted Boltzmann machines. CoRR abs/1406.6176 (2014) - [i3]Tomoyuki Obuchi, Hirokazu Koma, Muneki Yasuda:
Estimation of priors in natural images. CoRR abs/1412.7012 (2014) - 2013
- [i2]Shun Kataoka, Muneki Yasuda, Cyril Furtlehner, Kazuyuki Tanaka:
Traffic data reconstruction based on Markov random field modeling. CoRR abs/1306.6482 (2013) - 2010
- [i1]Takashi Shinzato, Muneki Yasuda:
Belief Propagation Algorithm for Portfolio Optimization Problems. CoRR abs/1008.3746 (2010)
Coauthor Index
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