Muneki Yasuda - RankMe

41 papers A 1B 3Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EB-RANSAC: Random Sample Consensus based on Energy-Based Model. CoRR Muneki Yasuda, Nao Watanabe, Kaiji Sekimoto
2025	J	`jnl`	Dataset-free weight-initialization on restricted Boltzmann machine. Neural Networks Muneki Yasuda, Ryosuke Maeno, Chako Takahashi
2025	J	`jnl`	Effective Method for Inverse Ising Problem under Missing Observations in Restricted Boltzmann Machines. CoRR Kaiji Sekimoto, Muneki Yasuda
2024	J	`jnl`	Dataset-Free Weight-Initialization on Restricted Boltzmann Machine. CoRR Muneki Yasuda, Ryosuke Maeno, Chako Takahashi
2024	J	`jnl`	Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine. CoRR Kaiji Sekimoto, Muneki Yasuda
2022	J	`jnl`	Composite Spatial Monte Carlo Integration Based on Generalized Least Squares. CoRR Kaiji Sekimoto, Muneki Yasuda
2022	J	`jnl`	Free Energy Evaluation Using Marginalized Annealed Importance Sampling. CoRR Muneki Yasuda, Chako Takahashi
2022	J	`jnl`	Hierarchical Gaussian Markov Random Field for Image Denoising. IEICE Trans. Inf. Syst. Yuki Monma, Kan Aro, Muneki Yasuda
2022	J	`jnl`	Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. CoRR Yuri Kanno, Muneki Yasuda
2021	J	`jnl`	A Generalization of Spatial Monte Carlo Integration. Neural Comput. Muneki Yasuda, Kei Uchizawa
2020	J	`jnl`	A Generalization of Spatial Monte Carlo Integration. CoRR Muneki Yasuda, Kei Uchizawa
2020	J	`jnl`	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. Minami Tsuchiya, Seung-Il Cho, Atsushi Tanaka, Muneki Yasuda, Tomochika Harada, Michio Yokoyama
2020	J	`jnl`	Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment. CoRR Muneki Yasuda, Yeo Xian En, Seishirou Ueno
2020	B	`conf`	Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. ICPR Yuri Kanno, Muneki Yasuda
2020	J	`jnl`	Spatial Monte Carlo Integration with Annealed Importance Sampling. CoRR Muneki Yasuda, Kaiji Sekimoto
2019	J	`jnl`	Bayesian Image Denoising with Multiple Noisy Images. Rev. Socionetwork Strateg. Shun Kataoka, Muneki Yasuda
2019	J	`jnl`	Empirical Bayes Method for Boltzmann Machines. CoRR Muneki Yasuda, Tomoyuki Obuchi
2019	J	`jnl`	Improvement of Batch Normalization in Imbalanced Data. CoRR Muneki Yasuda, Seishirou Ueno
2019	J	`jnl`	Restricted Boltzmann Machine with Multivalued Hidden Variables. Rev. Socionetwork Strateg. Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda
2019	J	`jnl`	Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning Procedures. Rev. Socionetwork Strateg. Kazuyuki Tanaka, Masayuki Ohzeki, Muneki Yasuda
2018	J	`jnl`	Estimation System of Blood Pressure Variation with Photoplethysmography Signals Using Multiple Regression Analysis and Neural Network. Int. J. Fuzzy Log. Intell. Syst. Seung-Il Cho, Takumi Negishi, Minami Tsuchiya, Muneki Yasuda, Michio Yokoyama
2018	J	`jnl`	Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method. Algorithms Muneki Yasuda
2018	J	`jnl`	Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field. IEICE Trans. Inf. Syst. Muneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka
2018	J	`jnl`	Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model. CoRR Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda
2018	J	`jnl`	Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting. CoRR Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda
2017	J	`jnl`	Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field. CoRR Muneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka
2017	J	`jnl`	Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation. CoRR Muneki Yasuda, Shun Kataoka
2016	J	`jnl`	Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering. CoRR Shun Kataoka, Takuto Kobayashi, Muneki Yasuda, Kazuyuki Tanaka
2016	A	`conf`	Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines. AISTATS Muneki Yasuda
2015	J	`jnl`	Inverse Renormalization Group Transformation in Bayesian Image Segmentations. CoRR Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki
2015	J	`jnl`	Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method. CoRR Muneki Yasuda, Shun Kataoka, Kazuyuki Tanaka
2014	J	`jnl`	Bayesian image segmentations by Potts prior and loopy belief propagation. CoRR Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Yuji Waizumi, Chiou-Ting Hsu
2014	J	`jnl`	Composite Likelihood Estimation for Restricted Boltzmann machines. CoRR Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka
2014	B	`conf`	Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines. ICPR Muneki Yasuda
2014	J	`jnl`	Estimation of priors in natural images. CoRR Tomoyuki Obuchi, Hirokazu Koma, Muneki Yasuda
2013	J	`jnl`	Traffic data reconstruction based on Markov random field modeling. CoRR Shun Kataoka, Muneki Yasuda, Cyril Furtlehner, Kazuyuki Tanaka
2012	B	`conf`	Composite likelihood estimation for restricted Boltzmann machines. ICPR Muneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka
2010	J	`jnl`	Belief Propagation Algorithm for Portfolio Optimization Problems CoRR Takashi Shinzato, Muneki Yasuda
2009	J	`jnl`	Approximate Learning Algorithm in Boltzmann Machines. Neural Comput. Muneki Yasuda, Kazuyuki Tanaka
2008	—	`conf`	Approximate Learning Algorithm for Restricted Boltzmann Machines. CIMCA/IAWTIC/ISE Muneki Yasuda, Kazuyuki Tanaka
2008	—	`conf`	Statistical Inferences by Gaussian Markov Random Fields on Complex Networks. CIMCA/IAWTIC/ISE Kazuyuki Tanaka, Takafumi Usui, Muneki Yasuda