148 citations · 491 across the 29 of their papers we have counts for
29 papers
Bouncy particle sampler with infinite exchanging parallel tempering
Yohei Saito, Shun Kimura, Koujin Takeda
Bayesian inference is useful to obtain a predictive distribution with a small generalization error. However, since posterior distributions are rarely evaluated analytically, we emp…
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Ryota Kawasumi, Koujin Takeda
We study the problem of hyperparameter tuning in sparse matrix factorization under Bayesian framework. In the prior work, an analytical solution of sparse matrix factorization with…
Generalization of generative model for neuronal ensemble inference method
Shun Kimura, Koujin Takeda
Various brain functions that are necessary to maintain life activities materialize through the interaction of countless neurons. Therefore, it is important to analyze functional ne…
Improved Neuronal Ensemble Inference with Generative Model and MCMC
Shun Kimura, Keisuke Ota, Koujin Takeda
Neuronal ensemble inference is a significant problem in the study of biological neural networks. Various methods have been proposed for ensemble inference from experimental data of…
Belief Propagation for Maximum Coverage on Weighted Bipartite Graph and Application to Text Summarization
Hiroki Kitano, Koujin Takeda
We study text summarization from the viewpoint of maximum coverage problem. In graph theory, the task of text summarization is regarded as maximum coverage problem on bipartite gra…
Improved algorithm for neuronal ensemble inference by Monte Carlo method
Shun Kimura, Koujin Takeda
Neuronal ensemble inference is one of the significant problems in the study of biological neural networks. Various methods have been proposed for ensemble inference from their acti…