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樺島祥介 2016年 研究業績一覧 (13件 / 219件)
論文
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Tomoyuki Obuchi,
Yoshiyuki Kabashima,
Kei Tokita.
Relative species abundance of replicator dynamics with sparse interactions,
Journal of Statistical Mechanics: Theory and Experiment,
Vol. 2016,
pp. 112502(1-28),
Nov. 2016.
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Shunsuke Watanabe,
Yoshiyuki Kabashima.
Resilience of antagonistic networks with regard to the effects of initial failures and degree-degree correlations,
Physical Review E,
Vol. 94,
pp. 032308(1-14),
Sept. 2016.
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Tomoyuki Obuchi,
Yoshiyuki Kabashima,
Kei Tokita.
Multiple peaks of species abundance distributions induced by sparse interactions,
PHYSICAL REVIEW E,
Vol. 94,
pp. 022312(1-5),
Aug. 2016.
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Yingying Xu,
Yoshiyuki Kabashima.
Statistical mechanics analysis of thresholding 1-bit compressed sensing,
Journal of Statistical Mechanics: Theory and Experiment,
Vol. 2016,
pp. 083405(1-16),
Aug. 2016.
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Paulo V. Rossi,
Yoshiyuki Kabashima,
Jun-ichi Inoue.
Bayesian online compressed sensing,
Physical Review E,
Vol. 94,
pp. 022137(1-8),
Aug. 2016.
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Yoshinori Nakanishi-Ohno,
Tomoyuki Obuchi,
Masato Okada,
Yoshiyuki Kabashima.
Sparse approximation based on a random overcomplete basis,
Journal of Statistical Mechanics: Theory and Experiment,
Vol. 2016,
pp. 063302(1-30),
June 2016.
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Yoshifumi Shiraki,
Yoshiyuki Kabashima.
Typical reconstruction performance for distributed compressed sensing based on ℓ2,1-norm regularized least square and Bayesian optimal reconstruction: influences of noise,
Journal of Statistical Mechanics: Theory and Experiment,
IOP Publishing Ltd and SISSA Medialab srl,
Volume 2016,
063304(1-27),
June 2016.
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Tomoyuki Obuchi,
Yoshiyuki Kabashima.
Cross validation in LASSO and its acceleration,
Journal of Statistical Mechanics: Theory and Experiment,
IOP Publishing Ltd and SISSA Medialab srl,
Volume 2016,
053304(1-36),
May 2016.
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Yoshiyuki Kabashima,
Florent Krzakala,
Marc Mézard,
Ayaka Sakata,
Lenka Zdeborová.
Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization,
IEEE TRANSACTIONS ON INFORMATION THEORY,
Vol. 62,
No. 7,
pp. 4228--4265,
Apr. 2016.
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Mikko Vehkapera,
Yoshiyuki Kabashima,
Saikat Chatterjee.
Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing,
2014 IEEE International Symposium on Information Theory (ISIT2014),
IEEE Transactions on Information Theory,
IEEE,
Vol. 62,
No. 4,
pp. 2100-2124,
Feb. 2016.
著書
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黒木学,
清水昌平,
湊真一,
石畠正和,
樺島祥介,
田中和之,
本村陽一,
玉田嘉紀,
鈴木譲,
植野真臣.
確率的グラフィカルモデル,
共立出版,
July 2016.
国際会議発表 (査読有り)
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Tomoyuki Obuchi,
Yoshiyuki Kabashima.
Sampling approach to sparse approximation problem: determining degrees of freedom by simulated annealing,
2016 24th European Signal Processing Conference (EUSIPCO),
Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO),
pp. 1247-1251,
Aug. 2016.
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Tomoyuki Obuchi,
Yoshiyuki Kabashima.
Sparse approximation problem: how rapid simulated annealing succeeds and fails,
International Meeting on High-Dimensional Data-Driven Science (HD3-2015),
Journal of Physics: Conference Series,
IOP,
Vol. 699,
pp. 012017(1-12),
Apr. 2016.
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