Yuki Sughiyama

J-GLOBAL         Last updated: May 25, 2019 at 18:29
 
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Name
Yuki Sughiyama
Affiliation
The University of Tokyo
Section
Institute of Industrial Science
Research funding number
90756389

Research Areas

 
 

Published Papers

 
Fitness response relation of a multi-type age-structured population dynamics
Yuki Sughiyama, So Nakashima, Tetsuya J Kobayashi
Phys. Rev. E   99 012413   2019   [Refereed]
EM based algorithm to infer both phenotypic state and cell division properties from lineage information
So Nakashima, Yuki Sughiyama, Tetsuya J Kobayashi
arXiv   1806.00215   2018
The explicit form of the rate function for semi-Markov processes and its contractions
Yuki Sughiyama, Tetsuya J Kobayashi
J. Phys. A: Math. Theor.   51 125001   2018   [Refereed]
A Quantum Extension of Variational Bayes Inference
Hideyuki Miyahara, Yuki Sughiyama
Phys. Rev. A   98 022330   2018   [Refereed]
Individual Sensing can Gain more Fitness than its Information
Tetsuya J Kobayashi, Yuki Sughiyama
arXiv   1712.09462   2017

Conference Activities & Talks

 
Pathwise analysis for a multi-type age-structured population dynamics [Invited]
Yuki Sughiyama
Eurasian Health and Medicine 2018   Nov 2018   

Association Memberships