2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2021
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…
cond-mat.dis-nn2021★ 2 cited
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…
cond-mat.dis-nn2019
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…