3 citations · 5 across the 6 of their papers we have counts for
6 papers
Bouncy particle sampler with infinite exchanging parallel tempering
Yohei Saito, Shun Kimura, Koujin Takeda
Markov chain Monte Carlo is one of the most useful tools for obtaining samples from complex distributions, such as posterior distributions in Bayesian inference. Bouncy particle sa…
A generative framework for conversational laughter: Its 'language model' and laughter sound synthesis
Hiroki Mori, Shunya Kimura
As the phonetic and acoustic manifestations of laughter in conversation are highly diverse, laughter synthesis should be capable of accommodating such diversity while maintaining h…
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…
Conditional MoCoGAN for Zero-Shot Video Generation
Shun Kimura, Kazuhiko Kawamoto
We propose a conditional generative adversarial network (GAN) model for zero-shot video generation. In this study, we have explored zero-shot conditional generation setting. In oth…
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…
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…