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Member

Yuta Nakahara (Center for Data Science, Waseda University )

Research Field

Error Correcting Codes, Lossless Image Compression

Biography

B.E. degree in Department of Applied Mathematics, Waseda University in Mar. 2014

M.E. degree in Department of Pure and Applied Mathematics, Waseda University in Mar. 2016

D.E. degree in Department of Pure and Applied Mathematics, Waseda University in Mar. 2019

Assistant Professor at Center for Data Science, Waseda University since Apr. 2019

Research Achievement

≪Journal≫

Yuta Nakahara,A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It,Entropy,vol. 23, no. 8, p.991,2021

Nao Dobashi,Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction,Entropy,vol. 23, no. 6, 768,2021

Yuta Nakahara,Analysis of Decoding Error Probability of Spatially ``Mt. Fuji'' Coupled LDPC Codes in Waterfall Region of the BEC,IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,Vol.E103-A,No.12,2020

Yuta Nakahara,A Note on Weight Distributions of Spatially "Mt. Fuji" Coupled LDPC Codes.,IEICE Transactions,vol. 101-A, no. 12, pp. 2194-2198,2018

Yuta Nakahara,Spatially ``Mt. Fuji'' Coupled LDPC Codes,IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,vol.E100-A, no.12, pp.2594-2606,2017

≪International Conference≫

Esaki Yasushi,Theoretical Analysis of the Advantage of Deepening Neural Networks,Proceeding of 19th IEEE International Conference on Machine Learning and Applications (ICMLA),pp.479--484,2020

Yuta Nakahara,Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them,Proceeding of International Symposium on Information Theory and Its Applications (ISITA),pp.81--85,2020

Yuta Nakahara,A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It,Proceeding of 2020 Data Compression Conference (DCC2020),pp.293--302,2020

Yuta Nakahara,Bayes Code for 2-dimensional Auto-regressive Hidden Markov Model and Its Application to Lossless Image Compression,Proceedings of 2020 International Workshop on Advanced Image Technology (IWAIT 2020),,2020

Yuta Nakahara,Covariance Evolution for Spatially ``Mt. Fuji'' Coupled LDPC Codes,Proceedings of 2019 IEEE Information Theory Workshop (ITW),,2019

Yuta Nakahara,Expected Graph Evolution for Spatially “Mt. Fuji” Coupled LDPC Codes,2018 International Symposium on Information Theory and Its Applications (ISITA2018),p. 511,2018

Yuta Nakahara,Spatially “Mt. Fuji” Coupled LDPC Codes,Proceedings of the 2016 International Symposium on Information Theory and Its Applications,pp.201-205,2016

≪Conference≫

Nao Dobashi,Probabilistic Data Generating Process on Tree Structure Model: Bayes Optimal Prediction and Sub-Optimal Algorithm,,,2020

,An Autoregressive Image Generative Model and the Bayes Code for It,,vol. 120, no. 43, IT2020-4, pp. 19-24,2020

Yuta Nakahara,Spatially Coupled Uneven LDPC Codes,,,2019

,Construction of Hidden Markov Models for Brain Tumor Segmentation,,vol. 120, no. 39, IE2020-13, pp. 61-66,2020

,Policy Optimization Based on Bayesian Decision Theory in Learning Period on Markov Decision Process,,vol. 120, no. 268, IT2020-31, pp. 38-43,2020

,An Image Generative Model with Various Auto-regressive Coefficients Depending on Neighboring Pixels and the Bayes Code for It,,vol. 120, no. 320, IT2020-108, pp. 253-258,2021

Haruka Murayama,Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables,,vol. 119, no. 149, IT2019-16, pp. 5-10,2019

Yuta Nakahara,Optimal lossless image compression under the Bayes criterion for explicitly described generative models,,13A-3,2017

Yuta Nakahara,A Note on Weight Distributions of Spatially ``Mt.Fuji'' Coupled LDPC Codes,,pp.517-522,2017

,A Note on New Schedule of BP decoding Based on Local Cycle Distributions,,pp. 13-18,2016

Yuta Nakahara,A Study on Message Passing Algorithm for Counting Short Cycles in Sparse Bipartite Graphs,IEICE Technical Report,vol.115, no.395, IT2015-50, pp.13-18,2016

Yuta NAKAHARA,Universality of Spatially Coupled Punctured LDPC Codes for Decode-and-Forward in Erasure Relay Channels,Proceedings of the 37th Symposium on Information Theory and its Applications,pp.319-324,2014

≪Master Thesis≫

A Study of Analysis and Design of Graphs Aimed to Improvement of Optimization Method Based on Local Structure of Graphs

≪Doctor Thesis≫

A Study on Generalization of Spatially Coupled LDPC Codes