Analysis of CDMA systems that are characterized by eigenvalue spectrum - Koujin Takeda; Shinsuke Uda; Yoshiyuki Kabashima (CoRR, 2006)

Statistical mechanical analysis of the linear vector channel in digital communication - Koujin Takeda; Atsushi Hatabu; Yoshiyuki Kabashima (CoRR, 2007)

Statistical mechanical analysis of the Kronecker channel model for MIMO wireless communication - Atsushi Hatabu; Koujin Takeda; Yoshiyuki Kabashima (CoRR, 2009)

Statistical mechanical analysis of compressed sensing utilizing correlated compression matrix. - Koujin Takeda; Yoshiyuki Kabashima (ISIT, 2010)

Statistical Mechanical Assessment of a Reconstruction Limit of Compressed Sensing: Toward Theoretical Analysis of Correlated Signals - Koujin Takeda; Yoshiyuki Kabashima (CoRR, 2010)

Statistical mechanical analysis of hierarchical random code ensemble in signal processing - Tomoyuki Obuchi; Kazutaka Takahashi 003; Koujin Takeda (CoRR, 2010)

Sparse-matrix-based compressed sensing for spectrum sensing in Flexible Wireless System. - Doohwan Lee; Yoshiyuki Kabashima; Koujin Takeda; Takayuki Yamada; Kazunori Akabane; Kazuhiro Uehara (APCC, 2012)

A study of the universal threshold in the ℓ1 recovery by statistical mechanics. - Koujin Takeda; Yoshiyuki Kabashima (CISS, 2012)

Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation. - Koujin Takeda; Yoshiyuki Kabashima (CoRR, 2013)

Approximate method of variational Bayesian matrix factorization with sparse prior. - Ryota Kawasumi; Koujin Takeda (MLSP, 2017)

Variational Bayes method for matrix factorization to two sparse factorized matrices. - Tomoki Tamai; Koujin Takeda (ISITA, 2018)

Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior. - Ryota Kawasumi; Koujin Takeda (CoRR, 2018)

Improved algorithm for neuronal ensemble inference by Monte Carlo method. - Shun Kimura; Koujin Takeda (CoRR, 2019)

Belief Propagation for Maximum Coverage on Weighted Bipartite Graph and Application to Text Summarization. - Hiroki Kitano; Koujin Takeda (CoRR, 2020)

Improved Neuronal Ensemble Inference with Generative Model and MCMC. - Shun Kimura; Keisuke Ota; Koujin Takeda (CoRR, 2021)

Generalization of generative model for neuronal ensemble inference method. - Shun Kimura; Koujin Takeda (CoRR, 2022)

Automatic Hyperparameter Tuning in Sparse Matrix Factorization. - Ryota Kawasumi; Koujin Takeda (Neural Comput., 2023)

L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Data. - Yusuke Endo; Koujin Takeda (CoRR, 2024)

ℓ 1 -Regularized ICA: A Novel Method for Analysis of Task-Related fMRI Data. - Yusuke Endo; Koujin Takeda (Neural Comput., 2024)

Performance Evaluation of Matrix Factorization for fMRI Data. - Yusuke Endo; Koujin Takeda (Neural Comput., 2024)