論文

• Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima. Objective and efficient inference for couplings in neuronal network, Journal of Statistical Mechanics: Theory and Experiment, 2019, pp. 124010(1-14), Dec. 2019.
• Masato Suzuki, Yoshiyuki Kabashima. Statistical mechanics of the minimum vertex cover problem in stochastic block models, Physical Review E, Vol. 100, pp. 062101(1-9), Dec. 2019.
• Chihiro Noguchi, Yoshiyuki Kabashima. Approximate matrix completion based on cavity method, Journal of Physics A: Mathematical and Theoretical, Vol. 52, pp. 424004(1-19), Sept. 2019.
• Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander. Computational Statistics and Data Analysisjournal homepage:High-dimensional structure learning of binary pairwiseMarkov networks: A comparative numerical study, Computational Statistics and Data Analysis, Vol. 141, pp. 62-76, July 2019.
• Tomoyuki Obuchi, Yoshiyuki Kabashima. Semi-Analytic Resampling in Lasso, Journal of Machine Learning Research, Journal of Machine Learning Research, Vol. 20, No. 70, pp. 1-33, Apr. 2019.  公式リンク  
  
• Tatsuro Kawamoto, Yoshiyuki Kabashima. Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection, Physical Review E, Vol. 99, pp. 010301(R)(1-5), Jan. 2019.
• Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada, Yoshiyuki Kabashima. Statistical mechanical analysis of sparse linear regression as a variable selection problem, Journal of Statistical Mechanics: Theory and Experiment, pp. 103401, Oct. 2018.
• Tomoyuki Obuchi, Yoshiyuki Kabashima. Accelerating Cross-Validation in Multinomial Logistic Regression with L1-Regularization, Journal of Machine Learning Research, Journal of Machine Learning Research, Vol. 19, No. 52, pp. 1-30, Sept. 2018.  公式リンク  
  
• Takashi Takahashi, Yoshiyuki Kabashima. A statistical mechanics approach to de-biasing and uncertainty estimation in LASSO for random measurements, Journal of Statistical Mechanics: Theory and Experiment, IOP Publishing, Vol. 2018, pp. 073405(1-25), July 2018.
• Yingying Xu, Santeri Puranen, Jukka Corander, Yoshiyuki Kabashima. Inverse finite-size scaling for high-dimensional significance analysis, Physical Review E, Vol. 97, 062112(1-9), June 2018.
• Tatsuro Kawamoto, Yoshiyuki Kabashima. Comparative analysis on the selection of number of clusters in community detection, Physical Review E, Vol. 97, 022315(1-20), Feb. 2018.
• Tomoyuki Obuchi, Shiro Ikeda, Kazunori Akiyama, Yoshiyuki Kabashima. Accelerating cross-validation with total variation and its application to super-resolution imaging, PLoS ONE, 12, 12, e0188012(1-14), Dec. 2017.
• Tatsuro Kawamoto, Yoshiyuki Kabashima. Cross-validation estimate of the number of clusters in a network, Scientific Reports, Vol. 7, pp. 3327(1-17), June 2017.
• Tatsuro Kawamoto, YOSHIYUKI KABASHIMA. Detectability thresholds of general modular graphs, Vol. 95, No. 1, pp. 012304(1-5), Jan. 2017.
• 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.
• 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.
• 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.
• Paulo V. Rossi, Yoshiyuki Kabashima, Jun-ichi Inoue. Bayesian online compressed sensing, Physical Review E, Vol. 94, pp. 022137(1-8), Aug. 2016.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• T. Kawamoto, Y. Kabashima. Detectability of the spectral method for sparse graph partitioning, EPL (Europhysics Letters), IOP, Vol. 112, No. 4, pp. 40007(1-6), Dec. 2015.
• Tatsuro Kawamoto, Yoshiyuki Kabashima. Limitations in the spectral method for graph partitioning: Detectability threshold and localization of eigenvectors, Physical Review E, APS, Vol. 91, pp. 062803(1-21), June 2015.
• Yoshifumi Shirak, Yoshiyuki Kabashima. Typical reconstruction limits for distributed compressed sensing based on �P2,1-norm minimization and Bayesian optimal reconstruction, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2015, pp. P05029'1-22), May 2015.
• Masahiko Ueda, Yoshiyuki Kabashima. Replica analysis of Franz_Parisi potential for sparse systems, Journal of Physics A: Mathematical and Theoretical, IOP, Vol. 48, No. 13, pp. 135002(1-21), Mar. 2015.
• Haiping Huang, Yoshiyuki Kabashima. Origin of the computational hardness for learning with binary synapses, Physical Review E, APS, Vol. 90, pp. 052813(1-7), Nov. 2014.
• Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborova. Bayesian signal reconstruction for 1-bit compressed sensing, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2014, pp. P11015(1-23), Nov. 2014.
• Haiping Huang, Yoshiyuki Kabashima. Dynamics of asymmetric kinetic Ising systems revisited, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2014, pp. P05020(1-17), May 2014.
• Shunsuke Watanabe, Yoshiyuki Kabashima. Cavity-based robustness analysis of interdependent networks: Influences of intranetworkand internetwork degree-degree correlations, Physical Review E, APS, Vol. 89, pp. 012808(1-11), Jan. 2014.
• Haiping Huang, K Y Michael Wong, Yoshiyuki Kabashima. Entropy landscape of solutions in the binary perceptron problem, Journal of Physics A: Mathematical and Theoretical, IOP, Vol. 46, No. 37, pp. 375002(1-18), Aug. 2013.
• Ayaka Sakata, Yoshiyuki Kabashima. Statistical mechanics of dictionary learning, EPL (Europhysics Letters), IOP, Vol. 103, No. 2, pp. 28008(1-6), Aug. 2013.
• Haiping Huang, Yoshiyuki Kabashima. Adaptive Thouless-Anderson-Palmer approach to inverse Ising problems with quenched random fields, Physical Review E, APS, Vol. 87, pp. 062129(1-6), June 2013.
• Yingying Xu, Yoshiyuki Kabashima. Statistical mechanics approach to 1-bit compressed sensing, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2013, pp. P0241(1-22), Feb. 2013.
• Yoshiyuki Kabashima, Mikko Vehkapera, Saikat Chatterjee. Typical l1-recovery limit of sparse vectors represented by concatenations of random orthogonal matrices, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2012, pp. P12003(1-18), Dec. 2012.
• Yoshiyuki Kabashima, Hisanao Takahashi. First eigenvalue/eigenvector in sparse random symmetric matrices: influences of degree fluctuation, Journal of Physics A: Mathematical and Theoretical, IOP, Vol. 45, pp. 325001(1-19), July 2012.
• A Sakata1, Y Peleg, A Sakata, Y Kabashima, Y Peleg. A mean-field approach for an intercarrier interference canceller for OFDM, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2012, pp. P07006(1-13), July 2012.
• Muneki Yasuda, Yoshiyuki Kabashima, Kazuyuki Tanaka. Replica Plefka expansion of Ising systems, Journal of Statistical Mechanics: Theory and Experiment, IOP, Vol. 2012, pp. P04002(1-16), Apr. 2012.
• K. Takeda, Y. Kabashima. Statistical mechanical assessment of a reconstruction limit of compressed sensing: Toward theoretical analysis of correlated signals, EPL (Europhysics Letters), IOP, Vol. 95, pp. 18006(1-6), June 2011.
• T. Ando, Y. Kabashima, H. Takahashi, O. Watanabe, M. Yamamoto. Spectral analysis of random sparse matrices, IEICE Transactions on Information and Systems, 電子情報通信学会, Vol. E94-D, No. 6, pp. 1247--1256, June 2011.
• Hadar Efraim, Yitzhak Peleg, Ido Kanter, Ori Shental, Yoshiyuki Kabashima. Statistical-mechanics approach to wide-band digital communication, Physical Review E, APS, Vol. 82, pp. 060101_(1-4), Dec. 2010.
• Yoshifumi Shiraki, Yoshiyuki Kabashima. Cavity analysis on the robustness of random networks against targeted attacks:Influences of degree-degree correlations, Physical Review E, APS, Vol. 82, pp. 036101(1-10), Sept. 2010.
• Hisanao Takahashi, Federico Ricci-Tersenghi, Yoshiyuki Kabashima. Finite-size scaling of the de Almeida-Thouless instability in random sparse networks, Physical Review B, APS, Vol. 81, pp. 174407(1-10), May 2010.
• Tomoyuki Obuchi, Yoshiyuki Kabashima. Weight space structure and analysis using a finite replica number in the Ising perceptron, Journal of Statistical Mechanics: Theory and Experiment, Vol. 2009, pp. P12014-, Dec. 2009.
• KENZO OGURE, YOSHIYUKI KABASHIMA. On analyticity with respect to the replica number in random energy models I: an exact expression of the moment of the partition function, J. Stat. Mech., Vol. 2009, No. P03010, pp. P05011-, Mar. 2009.
• Tomoyuki Obuchi, Yoshiyuki Kabashima, Hidetoshi Nishimori. Complex replica zeros of ±J Ising spin glass at zero temperature, Journal of Physics A: Mathematical and Theoretical, IOP, Vol. 42, No. 7, pp. 075004(1-27), Jan. 2009.
• TAKASHI SHINZATO, YOSHIYUKI KABASHIMA. Learning from correlated patterns by simple perceptrons, J. Phys. A: Math. Theor., Vol. 42, p. 015005, Jan. 2009.
• Yoshiyuki Kabashima, T. Wadayama, T. Tanaka. A typical reconstruction limit for compressed sensing based on Lp-norm minimization, Journal of Statistical Mechanics: Theory and Applications, Vol. 2009, pp. L09003-, 2009.
• Ken-ichi Tamura, Miho Komiya, Masato Inoue, Yoshiyuki Kabashima. Decoding algorithm of low-density parity-check codes based on Bowman-Levin approximation, New Generation Computing, Vol. 27, pp. 347-363, 2009.
• Atsushi Hatabu, Kojin Takeda, Yoshiyuki Kabashima. Statistical mechanical analysis of the Kronecker channel model for multiple-input multiple-output wireless communication, Physical Review E, Vol. 80, pp. 061124-, 2009.
• Takashi Shinzato, Yoshiyuki Kabashima. Perceptron capacity revisited: classification ability for correlated patterns, J. Phys. A: Math. Theor., Vol. 41, No. 32, pp. 324013-, Oct. 2008.
• Koujin Takeda, Atsushi Hatabu, Yoshiyuki Kabashima. Statistical mechanical analysis of the linear vector channel in digital communication, J. Phys. A: Math. Theor., Institute of Physics, Vol. 40, pp. 14085-14098, Nov. 2007.
• Yukinori Tonosaki, Koujin Takeda, Yoshiyuki Kabashima. Numerical Study of TAP Metastable States in 3-body Ising Spin Glasses, Physical Review B, American Physical Society, Vol. 75, pp. 094405, May 2007.
• Yukinori Tonosaki, Yoshiyuki Kabashima. Sequential minimization of the bethe free energy of ising spin systems, Interdisciplinary Information Sciences, Vol. 13, No. 1, pp. 57-64, Apr. 2007.
• JPL. Hatchett, Y. Kabashima. Survey propagation for the cascading Sourlas code, JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, Vol. 39, No. 34, pp. 10659-10672, 2006.
• K. Takeda, S. Uda, Y. Kabashima. Analysis of CDMA systems that are characterized by eigenvalue spectrum,, Europhysics Letters, Vol. 76, pp. 1193-1999, 2006.
• 外崎幸徳, 樺島祥介. CCCPに基づくCDMAマルチユーザ検出アルゴリズム, 電子情報通信学会和文誌（D）, Vol. J89-D, pp. 1049-1060, 2006.
• Tadaaki Hosaka, Yoshiyuki Kabashima. Statistical Mechanical Approach to Lossy Data Compression: Theory and Practice, Physica A, Vol. 365, No. 1, pp. 113-119, 2006.
• Yoshiyuki Kabashima. Replicated Bethe Free Energy: A Variational Principle behind Survey Propagation, Journal of the Physical Society of Japan, Vol. 74, pp. 2133-2136, Aug. 2005.
• Shinsuke Uda, Yoshiyuki Kabashima. Statistical Mechanical Development of a Sparse Bayesian Classifier, Journal of the Physical Society of Japan, Vol. 74, No. 8, pp. 2233-2242, Aug. 2005.
• Tadaaki Hosaka, Yoshiyuki Kabashima. Statistical Mechanical Approach to Error Exponents of Lossy Data Compression, Journal of Physical Society of Japan, Vol. 74, No. 1, pp. 488-497, 2005.
• David Saad, Nikos S. Skantzos, Yoshiyuki Kabashima. Security and Reliability of LDPC Based Public-Key Cryptosystems, Statistical Physics of Disordered Systems and Its Application, Progress of Theoretical Phyics, Supplement, Vol. 157, pp. 229-236, 2005.
• Kenzo Ogure, Yoshiyuki Kabashima. An Exact Analytic Continuation to Complex Replica Number in the Discrete Random Energy Model of Finite System Size, Statistical Physics of Disordered Systems and Its Application, Progress of Theoretical Phyics, Supplement, Vol. 157, pp. 103-106, 2005.
• K. Ogure, Y. Kabashima. Exact Analytic Continuation with Respect to the Replica Number in the Discrete Random Energy Model of Finite System Size, Progress of Theoretical Physics, Vol. 111, No. 5, pp. 661-688, 2004.
• YOSHIYUKI KABASHIMA. A CDMA multiuser detection algorithm on the basis of belief propagation, Journal of Physics A: Mathemarical General, Vol. 36, No. 43, pp. 11111, 2003.
• Nikos S Skantzos, Jort van Mourik, David Saad, Yoshiyuki Kabashima. Average and reliability exponents in low-density parity check codes, Journal of Physics A: Mathematical and General, Vol. 36, No. 43, pp. 11131, 2003.
• YOSHIYUKI KABASHIMA. Propagating beliefs in sping-glass models, Journal of Physical Society of Japan, Vol. 72, pp. 1645, 2003.
• N. Skanzos, D. Saad, Y. Kabashima. Analysis of common attacks in public-key cryptosystems based on low-desity parity-check codes, Physical Review E, Vol. 68, pp. 056125(1-11), 2003.
• Tadaaki Hosaka, Yoshiyuki Kabashima, Hidetoshi Nishimori. Statistical mechanics of lossy data compression using a non-monotonic perceptron, Physical Review E, Vol. 66, pp. 066126, 2002.
• J. van Mourik, D. Saad, Y. Kabashima. Critical noise levels for low-density parity check codes, Physical Review E, Vol. 66, pp. 026705, 2002.
• Y. Kabashima, K. Nakamura, J. van Mourik. Statistical mechanics of typical set decoding, Physical Review E, Vol. 66, pp. 036125, 2002.
• Kazutaka Nakamura, Yoshiyuki Kabashima, David Saad. Statistical mechanics of low-density parity check error-correcting codes over Galois fields, Europhysics Letters, Vol. 56, No. 4, pp. 610, 2001.
• Yoshiyuki KABASHIMA, Naoya SAZUKA, Kazutaka NAKAMURA, David SAAD. Tighter decoding reliability bound for Gallager's error-correcting code, Physical Review E, Vol. 64, pp. 046113, 2001.
• YOSHIYUKI KABASHIMA. Bi-stability of mixed states in neural network storing hierarchical patterns, Journal of Physics A: Mathematical and General, Vol. 33, pp. 2725, 2000.
• Tatsuto MURAYAMA, Yoshiyuki KABASHIMA, David SAAD, Renato VICENTE. Statistical physics of regular low-density parity-check error-correcting codes, Physical Review E, Vol. 62, pp. 1577, 2000.
• Renato VICENTER, David SAAD, Yoshiyuki KABASHIMA. Statistical physics of irregular low-density parity-check codes, Journal of Physics A: Mathematical and General, Vol. 33, pp. 6527, 2000.
• Renato VICENTE, David SAAD, Yoshiyki KABASHIMA. Error-correcting code on a cactus: a solvable model, Europhysics Letters, Vol. 51, pp. 698, 2000.
• Yoshiyuki KABASHIMA, Tatsuto MURAYAMA, David SAAD. Typical performance of Gallager-type error-correcting codes, Physical Review Letters, Vol. 84, pp. 1355, 2000.
• Yoshiyuki KABASHIMA, Tatsuto MURAYAMA, David SAAD. Cryptographical properties of Ising spin systems, Physical Review Letters, Vol. 84, pp. 2230, 2000.
• 嶋崎政一, 樺島祥介. Wake-Sleep アルゴリズムの動的解析, 電子情報通信学会和文誌（A), Vol. J83-A, No. 6, pp. 661, 2000.
• Yoshiyuki KABASHIMA, David SAAD. Statistical mechanics of error correcting codes, Europhysics Letters, Vol. 45, pp. 97-103, 1999.
• 樺島祥介. 学習の統計力学, システム/制御/情報, Vol. 44, No. 2, pp. 67, 1999.
• 樺島祥介. 情報理論と平均場近似, 計測と制御, Vol. 38, No. 7, pp. 439, 1999.
• 樺島祥介. 誤り訂正符号の統計力学, 数理科学, Vol. 438, 12-19, 1999.
• YOSHIYUKI KABASHIMA, Renato Vicente, David Saad. Finite-connectivity systems as error-correcting codes, Physical Review E, Vol. 60, pp. 5352-5366, 1999.
• Yoshiyuki KABASHIMA, David SAAD. Belief propagation vs. TAP for decoding corrupted messages, Europhysics Letters, Vol. 44, pp. 668-674, 1998.
• YOSHIYUKI KABASHIMA. Learning of non - monotonic rules bysimple perceptrons (共著), Journal of Physics A : Mathematical and General, Vol. 31, pp. 123, 1998.
• Jun-ichi Inoue, Hidetoshi Nishimori, Yoshiyuki Kabashima. Generalization ability of a perceptron with nonmonotonic transfer function, Physical Review E, Vol. 58, pp. 849-860, 1998.
• 樺島祥介. ニューラルネットワークにおけるモデル化と学習の理論, 数理科学, Vol. 36, No. 9, pp. 19, 1998.
• YOSHIYUKI KABASHIMA. On-line learning of non - monotonic rules by simple perceptron (共著), Journal of Physics A : Mathematical and General, Vol. 30, pp. 3795, 1997.
• YOSHIYUKI KABASHIMA. Asymptotic behavior in learning from stochastic examples : One-step RSB calculation of the learning curue (共著), Journal of Physics A : Mathematical and General, Vol. 29, pp. L55, 1996.
• YOSHIYUKI KABASHIMA. Analysis of Learning from Stochastic Rules in the Framework of Replica Symmetry Breaking, Journal of the Physical Society of Japan, Vol. 65, pp. 3797, 1996.
• YOSHIYUKI KABASHIMA. Perfect learning and Power law in learning from stochastic examples by Ising perceptrons - Analysis under one-step RSB ansatz - (共著), Journal of Physics A : Mathematical and General, Vol. 29, pp. L439, 1996.
• YOSHIYUKI KABASHIMA. Learning a Decision Boundary from Stochastic Example : Incremental Algorithuns with and withoat Queries (共著), Neural Computation, Vol. 7, pp. 158, 1995.
• YOSHIYUKI KABASHIMA. Perfect loss of generalization due to noise in K=2 parity machines, Journal of Physics A : Mathematical and General, Vol. 27, pp. 1917, 1994.
• Yoshiyuki Kabashima, Shigeru Shinomoto. Asymptotic Dependence of the Residual Energy on Annealing Time (共著), Journal of the Physical Society of Japan, Vol. 60, pp. 3993, 1992.
• YOSHIYUKI KABASHIMA. Learning Curves for Error Minimum and Maximum Likelihool Algorithms (共著), Neural Computation, Vol. 4, pp. 712, 1992.
• YOSHIYUKI KABASHIMA. Finite time scaling of energy in simulated annealing (共著), Journal of Physics A : Mathematical and General, Vol. 24, pp. L141, 1991.

著書

• 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.
• 渡邊澄夫, 永尾 太郎, 樺島祥介, 田中利幸, 中島伸一. ランダム行列の数理と科学, 森北出版, Apr. 2014.
• 樺島祥介. ランダム行列の数理と科学, 森北出版, Apr. 2014.
• 樺島祥介. 現代数理科学事典 第２版, 丸善株式会社, Aug. 2009.
• Koji Hukushima, Yoshiyuki Kabashima, Hidetoshi Nishimori, Toshiyuki Tanaka. J. Phys. Conf. Ser. 95: International Workshop on Statistical-Mechanical Informatics 2007, IOP Publishing, Jan. 2008.
• 赤池弘次, 甘利俊一, 北川源四郎, 樺島祥介, 下平英寿, 室田一雄, 土谷隆. 赤池情報量規準AIC −モデリング・予測・知識発見−, 共立出版, July 2007.
• 合原一幸, 岡田康志, 今田勝巳, 岩田覚, 樺島祥介, 金城政孝, 今野紀雄, 佐甲靖志. 〈1分子〉生物学生命システムの新しい理解（座談会〈1分子〉生物学と生命システム）(分担執筆)，合原一幸，岡田康志編, 岩波書店, 岩波書店, 2004.
• 汪金芳, 田栗正章, 手塚集, 樺島祥介, 上田修功. 統計科学のフロンティア１１　計算統計I 確率計算の新しい手法, 岩波書店, 岩波書店, 2003.
• 阪口豊　樺島祥介. 脳内情報表現への情報理論的アプローチ, 脳の情報表現　ニューロン・ネットワーク・数理モデル （朝倉書店）, 脳の情報表現　ニューロン・ネットワーク・数理モデル （朝倉書店）, pp. 69, 2002.
• 樺島祥介. 物理の世界　学習と情報の平均場理論, 岩波書店, 岩波書店, 2002.
• David SAAD, Yoshiyuki KABASHIMA, Tatsuto MURAYAMA. Public key cryptography and error correcting codes as Ising models, Disordered and Complex Systems, Disordered and Complex Systems, pp. 89, 2001.
• David SAAD, Yoshiyuki KABASHIMA, Renato VICENTE. TAP for Parity Check Error Correcting Codes, Advanced Mean Field Methods -- Theory and Practice --, Advanced Mean Field Methods -- Theory and Practice --, pp. 66, 2001.
• Renato VICENTE, David SAAD, Yoshiyuki KABASHIMA. Error-correcting Codes on a Bethe-like Lattice, Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems, Vol. 13, pp. 322, 2001.
• Yoshiyuki KABASHIMA, David SAAD. The TAP Approach to Intensive and Extensive Connectivity Systems, Advanced Mean Field Methods -- Theory and Practice --, Advanced Mean Field Methods -- Theory and Practice --, pp. 51, 2001.
• Naoya Sazuka, Yoshiyuki Kabashima. Learning in Non-monotonic Perceptron Using Hidden Variables, Proceedings of ICONIP2000, Proceedings of ICONIP2000, pp. 779, 2000.
• Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente. Regular and Irregular Gallager-type Error-Correcting Codes, Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems, Vol. 12, pp. 272, 2000.
• YOSHIYUKI KABASHIMA. Dynamical Analysis of the Wake-Sleep Algorithm, Proceedings of International Workshop on Soft Computing in Industry'99 (IWSCI'99), Proceedings of International Workshop on Soft Computing in Industry'99 (IWSCI'99), pp. 109-114, 1999.
• Yoshiyuki KABASHIMA, David SAAD. The Belief in TAP, Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems, Vol. 11, pp. 246-252, 1999.
• Yoshiyuki KABASHIMA, Shigeru SHINOMOTO. Online Learning of a Decision Boundary with and without Queries, ONLINE LEARNING IN NEURAL NETWORKS, ONLINE LEARNING IN NEURAL NETWORKS, pp. 345-362, 1998.
• YOSHIYUKI KABASHIMA. Statistical Mechanics of Learning and Generalization, Proceedings of Third International Symposium on Artificial Life and Robotics, Proceedings of Third International Symposium on Artificial Life and Robotics, pp. 310-313, 1998.
• 樺島祥介. 学習のモデル--統計力学からのアプローチ--, 別冊・数理科学「脳科学の前線--数理モデルを中心にして」, 別冊・数理科学「脳科学の前線--数理モデルを中心にして」, pp. 160, 1997.
• Jun-ichi Inoue, Hidetoshi Nishimori, Yoshiyuki Kabashima. A simple perceptron that learns non-monotonic rules, Proceedings of TANC'97 Hong Kong International Workshop on Theoretical Aspect of Neural Computation, Proceedings of TANC'97 Hong Kong International Workshop on Theoretical Aspect of Neural Computation, pp. 257-267, 1997.
• YOSHIYUKI KABASHIMA. Incremental Learning with and without Queries in Binary Choice Problems, Proceedings of IJCNN'93 NAGOYA, Proceedings of IJCNN'93 NAGOYA, pp. 1637-1640, 1993.
• YOSHIYUKI KABASHIMA. Acceleration of Learning in Binary Choice Problems, Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, pp. 446-452, 1993.

国際会議発表 (査読有り)

• Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima. Objective and efficient inference for couplings in neuronal networks, NeurIPS 2018, Advances in Neural Information Processing Systems 31, pp. 4976--4985, Sept. 2018.
• Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura. Approximate cross-validation formula for Bayesian linear regression, 54th Annual Allerton Conference on Communication, Control, and Computing, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Feb. 2017.
• 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.
• 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.
• Tatsuro Kawamoto, Yoshiyuki Kabashima. Detectability Threshold of the Spectral Method for Graph Partitioning, The International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, Proceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, Springer, pp. 129-139, Dec. 2015.
• Ayaka Sakata, Yoshiyuki Kabashim. Replica Symmetric Bound for Restricted Isometry Constant, 2015 IEEE International Symposium on Information Theory (ISIT2015), Proc. ISIT2015, IEEE, pp. 2006-2010, June 2015.
• Yoshiyuki Kabashima, Mikko Vehkapera. Signal recovery using expectation consistent approximation for linear observations, 2014 IEEE International Symposium on Information Theory (ISIT2014), Proc. ISIT2014, IEEE, pp. 226-230, June 2014.
• Mikko Vehekapera, Yoshiyuki Kabashima, Saikat Chatterjee. Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing, 2014 IEEE International Symposium on Information Theory (ISIT2014), Proc. ISIT2014, IEEE, pp. 3185-3189, June 2014.
• Koujin Takeda, Yoshiyuki Kabashima. Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation, ELC International Meeting on Inference, Computation, and Spin Glasses (ICSG2013), Journal of Physics Conference Series, IOP, Vol. 473, pp. 012003(1-11), Dec. 2013.
• Ayaka Sakata, Yoshiyuki Kabashima. Sample Complexity of Bayesian Optimal Dictionary Learning, 2013 IEEE International Symposium on Information Theory (ISIT2013), Proc. ISIT2013, IEEE, pp. 669-673, July 2013.
• Vehkapera, M., YOSHIYUKI KABASHIMA, Chatterjee, S.. Statistical mechanics approach to sparse noise denoising, European Signal Processing Conference, 2013.
• Takuma Goto, Yoshiyuki Kabashima, Hiroya Takamura. Statistical Mechanical Analysis of Semantic Orientations on Lexical Network, The 24th International Conference on Computational Linguistics (COLING2012), Proc. COLING2012, ACL, pp. 977-994, Dec. 2012.
• D. Lee, Y. Kabashima, K. Takeda, T. Yamada, K. Akabane, K. Uehara. Sparse-Matrix-Based Compressed Sensing for Spectrum Sensing in Flexible Wireless, 18th Asia-Pacific Conference on Comunications (APCC2012), Proc. APCC2012, IEEE, pp. 418-422, Oct. 2012.
• Maria Chiara Angelini, Federico Ricci-Tersenghi, Yoshiyuki Kabashima. Compressed sensing with sparse, structured matrices, The 50th Annual Allerton Conference, Proc. Allerton2012, IEEE, pp. 808-814, Oct. 2012.
• Kazushi Mimura, Tadashi Wadayama, Yoshiyuki Kabashima. Average Growth Rate of Low-Density Generator-Matrix Codes Ensembles, 2012 International Symposium on Information Theory and Its Applications (ISITA), Proc. ISITA2012, IEEE, pp. 322-326, Oct. 2012.
• Mikko Vehkaperae, Yoshiyuki Kabashima, Saikat Chatterjee, Erik Aurell, Mikael Skoglund, Lars K. Rasmussen. Analysis of Sparse Representations Using Bi-Orthogonal Dictionaries, 2012 IEEE Information Theory Workshop, Proc. ITW2012, IEEE, pp. 647-651, Sept. 2012.
• Koujin Takeda, Yoshiyuki Kabashima. A study of the universal threshold in the L1 recovery by statistical mechanics, 46th Annual Conference on Information Sciences and Systems 2012 (CISS 2012), Proc. CISS2012, IEEE, pp. 1-6, Mar. 2012.
• Tadashi Wadayama, Toshiyuki Tanaka, Yoshiyuki Kabashima. Average Error Exponent of Undetected Error Probability of Binary Matrix Ensembles, 2011 IEEE International Symposium on Information Theory (ISIT2011), Proc. ISIT2011, IEEE, pp. 1292-1296, July 2011.
• Tomoyuki Obuchi, Yoshiyuki Kabashima, Hidetoshi Nishimori, Masayuki Ohzeki. Zero-temperature complex replica zeros of the ±J Ising spin glass on mean-field systems and beyond, International Symposium on Nanoscience and Quantum PhysicsnanoPHYS'09, Physica E, Elsevier, Vol. 43, No. 2, pp. 786-789, Aug. 2010.
• Yoshiyuki Kabashima, Hisanao Takahashi, Osamu Watanabe. Cavity approach to the first eigenvalue problem in a family of symmetric random sparse matrices, International Workshop on Statistical-Mechanical Informatics 2010, Journal of Physics Conference Series, IOP, Vol. 233, No. 1, pp. 012001(1-11), July 2010.
• Yoshiyuki Kabashima, Tadashi Wadayama, Toshiyuki Tanaka. Statistical Mechanical Analysis of a Typical Reconstruction Limit of Compressed Sensing, 2010 IEEE International Symposium on Information Theory (ISIT2010), Proc. ISIT2010, IEEE, pp. 1533-1537, June 2010.
• Koujin Takeda, Yoshiyuki Kabashima. Statistical Mechanical Analysis of Compressed Sensing Utilizing Correlated Compression Matrix, 2010 IEEE International Symposium on Information Theory (ISIT2010), Proc. ISIT2011, IEEE, pp. 1538-1542, June 2010.
• YOSHIYUKI KABASHIMA. How could the replica method improve accuracy of performance assessment of channel coding?, International Workshop on Statistical Mechanical Informatics 2008, J. Phys. Conf. Ser. 143, Vol. 143, pp. 012008, Jan. 2009.
• Yoshiyuki Kabashima. Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels, J. Phys. Conf. Ser., J. Phys. Conf. Ser., Vol. 95, pp. 012001-, Jan. 2008.

国内会議発表 (査読有り)

• 中西(大野) 義典, 小渕智之, 岡田 真人, 樺島祥介. 過完備基底を用いた歪有圧縮の統計力学的解析 (情報論的学習理論と機械学習 情報論的学習理論ワークショップ), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 一般社団法人電子情報通信学会, Vol. 114, No. 306, pp. 119-126, Nov. 2014.

国際会議発表 (査読なし・不明)

• Yoshiyuki Kabashima. Statistical mechanical approach to massive Bayesian inference, CBI-KSBSB Joint Conference, Nov. 2009.
• Yoshiyuki Kabashima, Osamu Watanabe. On spectral analysis of large low-density random matrices: rigorous vs. cavity analysis, Workshop on Techniques and Challenges from Statistical Physics, Oct. 2009.
• Yoshiyuki Kabashima. An integral formula for large rectangular matrices and its application to analysis of linear vector channels, Proc. of 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008 (WiOPT 2008), Apr. 2008.
• Yoshiyuki Kabashima. Statistical mechanical approach to CDMA communication --an offspring of research on perceptrons and associative memory --, International Conference on Neural Information Processing, Nov. 2007.
• Yoshiyuki Kabashima. Belief and survey propagations in perceptrons, Common Concepts in Statistical Physics and Computer Science, July 2007.
• Yoshiyuki Kabashima, Tadaaki Hosaka. Statistical Mechanics of Source Coding with a Fidelity Criterion, Statistical Physics of Disordered Systems and Its Application, Progress of Theoretical Phyics, Supplement, Vol. 157, pp. 197-204, 2005.
• Y. Kabashima, S. Uda. A BP-Based Algorithm for Performing Bayesian Inference in Large Perceptron-Type Networks, Fifteenth International Conference on Algorithmic Learning Theory (ALT2004), Proceedings of ALT2004 (S. Ben-David, J. Case and A.Maruoka Eds.), Lecture Notes in Artificial Intelligence (Springer-Verlag, Berlin Heiderberg), Proceedings of ALT2004 (S. Ben-David, J. Case and A.Maruoka Eds.), Lecture Notes in Artificial Intelligence (Springer-Verlag, Berlin Heiderberg), pp. 479-493, 2004.
• K. Nakamura, Y. Kabashima, D. Saad, R. Morelos-Zaragoza. Statistical mechanics of broadcast channels using low density parity check codes, Proceedings 2003 IEEE International Symposium on Information Theory, pp. 294, 2003.
• Yoshiyuki Kabashima. A statistical-mechanical approach to CDMA multiuser detection: propagating beliefs in a dense graph, Proceedings 2003 IEEE International Symposium on Information Theory, pp. 329, 2003.
• Jort van Mourik, David Saad, Yoshiyuki Kabashima. Magnetization Enumerator for LDPC Codes - a Statistical Physics Approach, Proceedings 2002 IEEE International Symposium on Information Theory, pp. 256, 2002.
• Yoshiyuki Kabashima, Naoya Sazuka, Kazutaka Nakamura, David Saad. Evaluating zero error noise thresholds by the replica method for Gallager code ensembles, Proceedings 2002 IEEE International Symposium on Information Theory, pp. 255, 2002.

国内会議発表 (査読なし・不明)

• 樺島祥介, ロッシ パウロ. 19aCQ-1 オンライン圧縮センシング, 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 70, pp. 2808, 2015.
• 坂田 綾香, 樺島祥介. 24aBL-3 レプリカ法による制限等長定数の評価, 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 70, pp. 3180, 2015.
• 坂田 綾香, 樺島祥介. 7pAR-8 belief propagationアルゴリズムによる特徴空間の圧縮(7pAR 情報統計力学1,ニューラルネットワーク,領域11(物性基礎論・統計力学・流体物理・応用数学・社会経済物理)), 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 69, No. 2, pp. 124, Aug. 2014.
• 坂田 綾香, 樺島祥介. 28aAR-12 統計力学的アルゴリズムによる非線形疎性の抽出(28aAR スピングラス・ランダムスピン系,古典フラストレート系,情報統計力学1,領域11(物性基礎論・統計力学・流体物理・応用数学・社会経済物理)), 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 69, No. 1, pp. 322, Mar. 2014.
• 坂田 綾香, 樺島祥介. ベイズ最適なdictionary learningの統計力学 (情報論的学習理論と機械学習), 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 一般社団法人電子情報通信学会, Vol. 113, No. 286, pp. 31-38, Nov. 2013.
• 坂田 綾香, 樺島祥介. 27aKG-8 最適な学習則によるDictionary Learningのサンプル複雑度(情報統計力学1,領域11(統計力学,物性基礎論,応用数学,力学,流体物理)), 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 68, No. 2, pp. 253, Aug. 2013.
• 竹田 晃人, 樺島祥介. 事後確率最大化推定に基づく圧縮センシングのデータ復元アルゴリズム, 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 一般社団法人電子情報通信学会, Vol. 112, No. 279, pp. 297-302, Oct. 2012.
• 渡辺 駿介, 樺島祥介. Cavity 法による次数相関のある相互依存型ネットワークの解析, 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 一般社団法人電子情報通信学会, Vol. 112, No. 279, pp. 417-424, Oct. 2012.
• 坂田 綾香, 樺島祥介. Dictionary Learning におけるサンプル複雑度の典型時解析, 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 一般社団法人電子情報通信学会, Vol. 112, No. 279, pp. 113-120, Oct. 2012.
• 坂田 綾香, 樺島祥介. 18aAA-3 Dictionary Learningにおけるノイズ効果(18aAA 情報統計力学1,領域11(統計力学,物性基礎論,応用数学,力学,流体物理)), 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 67, No. 2, pp. 220, Aug. 2012.
• 坂田 綾香, 樺島祥介. 27aAG-11 Dictionazy Learningの統計力学(27aAG 情報統計力学1,領域11(統計力学,物性基礎論,応用数学,力学,流体物理)), 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 67, No. 1, pp. 365, Mar. 2012.
• 竹田 晃人, 樺島祥介. 圧縮センシングにおけるレプリカ対称性の破れ (情報論的学習理論と機械学習), 電子情報通信学会技術研究報告 : 信学技報, 一般社団法人電子情報通信学会, Vol. 111, No. 275, pp. 123-126, Nov. 2011.
• 竹田 晃人, 樺島祥介. 圧縮センシングにおけるレプリカ対称性の破れ, 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, Vol. 111, No. 275, pp. 123-126, Nov. 2011.
• 坂田 綾香, 樺島祥介. 21pGU-5 OFDMモデルにおけるキャリア間干渉除去のための平均場近似アルゴリズム(21pGU 情報統計力学1,領域11(統計力学,物性基礎論,応用数学,力学,流体物理)), 日本物理学会講演概要集, 一般社団法人日本物理学会, Vol. 66, No. 2, pp. 212, Aug. 2011.
• 竹田 晃人, 樺島祥介. 相関信号下での圧縮センシングの性能解析, 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 一般社団法人電子情報通信学会, Vol. 110, No. 265, pp. 175-180, Oct. 2010.
• 後藤 拓馬, 樺島祥介, 高村 大也. 語彙ネットワークからの単語の感情極性抽出統計力学的視点からの精度改善法, 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 一般社団法人電子情報通信学会, Vol. 110, No. 265, pp. 19-25, Oct. 2010.
• 三村 和史, 和田山 正, 田中 利幸, 樺島祥介. 2元行列アンサンブルの見逃し誤り確率の平均誤り指数, 電子情報通信学会技術研究報告. IT, 情報理論, 一般社団法人電子情報通信学会, Vol. 110, No. 205, pp. 81-85, Sept. 2010.
• 田村健一, 小宮美穂, 井上真郷, 樺島祥介. Bowman-Levin法を用いたLDPC復号, Oct. 2008.
• 新里 隆, 樺島祥介. 相関例題におけるパーセプトロンの性能評価, 情報理論とその応用学会ワークショップ（SITA2008）, Oct. 2008.
• 新里 隆, 樺島祥介. 相関例題におけるパーセプトロンの性能評価, 第３１回情報理論とその応用シンポジウム, Oct. 2008.
• 樺島祥介. 通信路符号化におけるGallager上界とレプリカ法, 電子情報通信学会・情報理論研究会, Oct. 2008.
• 樺島祥介. モノの理論でコトを究める, 第１２回久保シンポジウム, Oct. 2008.
• 福本知也, 山中正雄, 樺島祥介, 田中利幸. 重み一定の疎なランダム行列の漸近固有値分布, 日本物理学会・2008年秋季大会, Sept. 2008.
• 小渕智之, 西森秀稔, 樺島祥介. 複素レプリカ変数に関する零点と種々の相転移との関係, 日本物理学会・2008年秋季大会, Sept. 2008.
• 林愛空, 樺島祥介. 平均場アルゴリズムによる送信電力低減プリコーディング, 日本物理学会・2008年秋季大会, Sept. 2008.
• 樺島祥介. ベーテ格子上の磁場ありスピングラスモデルにおけるAT線と大偏差統計, 日本物理学会・2008年秋季大会, Sept. 2008.
• 新里 隆, 樺島祥介. 直交例題におけるパーセプトロンの汎化能力評価, 日本物理学会・2008年秋季大会, Sept. 2008.
• 樺島祥介. 長方行列に対するItzykson-Zuber積分の一般化について, 日本物理学会・第63回年次大会, Mar. 2008.
• 新里 隆, 樺島祥介. ランダム直交パターンに関するイジングパーセプトロンの容量, 第10回 情報論的学習理論ワークショップ (IBIS2007), Nov. 2007.
• 樺島祥介. 相関のあるパターンに対するパーセプトロン型確率モデルの解析, 第３０回情報理論とその応用シンポジウム, Nov. 2007.
• 樺島祥介. ランダム特異値分解仮定に基づくパーセプトロン／ベクトルチャネルモデルの平均場解析, 日本物理学会・第62回年次大会, Sept. 2007.
• 新里 隆, 樺島祥介. 入力成分に統計的に相関がある場合の学習性能評価, 日本物理学会・第62回年次大会, Sept. 2007.
• Yoshiyuki KABASHIMA, David SAAD. Simple Gallager Codes for BSC, Proceedings of International Workshop on Soft Computing in Industry'99 (IWSCI'99), Proceedings of International Workshop on Soft Computing in Industry'99 (IWSCI'99), pp. 136-140, 1999.

その他の論文・著書など

• 金森敬文, 樺島祥介, 高安美佐子, 中野 張, 福田光浩, 三好直人, 山下 真, 渡邊澄夫. 東京工業大学情報理工学院数理・計算科学系―情報の未来を作り出す数理的アプローチを探究する―, オペレーションズ・リサーチ, Vol. 64, No. 1, pp. 31-32, Jan. 2019.
• 樺島祥介. 圧縮センシングへの統計力学的アプローチ, 日本神経回路学会誌 = The Brain & neural networks, Japanese Neural Network Society, Vol. 17, No. 2, pp. 70-78, June 2010.
• 樺島祥介. 講義ノート コトの物理学, 物性研究, Vol. 81, No. 1, pp. 1-33, Oct. 2008.
• 樺島祥介. More is different の話, 日本神経回路学会誌, Vol. 14, No. 2, pp. 95-103, June 2007.
• 樺島祥介. 情報統計力学とは何か—情報学でもMore Is Different—, 人工知能学会誌, Vol. 22, No. 3, pp. 336-343, May 2007.
• 樺島祥介. シャノンの定理を物理のモデルを通して眺める, オペレーションズ・リサーチ, Vol. 52, No. 4, pp. 196-200, Apr. 2007.
• 樺島祥介. 統計力学的アプローチのココロ, 計測と制御, Vol. 46, No. 4, pp. 286-291, Apr. 2007.
• 樺島祥介. 心にのこる１冊－Richard C. Tolman 著『The Principles of Statistical Mechanics』, 科学 岩波書店, Vol. 76, No. 9, 2006.
• YOSHIYUKI KABASHIMA. Tutorial on Brain-Inspired Computing Part 5: Statistical Mechanics of Communication and Computation, New Generation Computing, Vol. 24, pp. 403-420, 2006.
• 樺島祥介. 確率を手なずける秘伝の計算技術 －古くて新しい確率・統計モデルのパラダイム－ 小特集編集にあたって, 電子情報通信学会誌, Vol. 88, No. 9, pp. 695, Sept. 2005.
• 田中和之, 樺島祥介, 田中利幸. 序文 －確率・統計モデルが切り開く推論と学習の新しいパラダイム－, 電子情報通信学会誌, Vol. 88, No. 9, pp. 696-697, Sept. 2005.
• 樺島祥介. 統計的学習モデルへの統計力学的アプローチ, 人工知能学会誌, Vol. 19, No. 6, pp. 648-655, 2004.
• 樺島祥介. 符号とスピングラス理論, 数理科学, Vol. 497, pp. 48-53, 2004.
• 樺島祥介. 特集「統計モデルと学習の数理」にあたって, 人工知能学会誌, Vol. 19, No. 6, pp. 635-636, 2004.
• 田中和之, 樺島祥介, 田中利幸. 連載　確率的情報処理と統計力学　様々なアプローチとそのチュートリアル　第１回, 数理科学, Vol. 497, pp. 61-67, 2004.
• Y. Kabashima, D. Saad. Statistical mechanics of low-density parity-check codes, Journal of Physics A, Vol. 37, pp. R1-R43, 2004.
• 樺島祥介. コトの物理学, 日本物理学会誌2003年4月号, pp. 239, 2003.
• 樺島祥介. 統計力学的手法による誤り訂正符号の性能評価, 計測と制御, Vol. 42, No. 8, pp. 637, 2003.
• 田中和之, 樺島祥介. 大規模統計モデルにもとづく情報処理 --モノの理とコトの技--, 計測と制御, Vol. 42, No. 8, pp. 622, 2003.
• 樺島祥介. 低密度パリティ検査符号を利用した公開鍵暗号システム, Computer Today, Vol. 107, pp. 32, 2002.
• 村山立人, 樺島祥介. スピングラス理論と機械学習, 人工知能学会誌, Vol. 16, No. 5, pp. 683, 2001.
• 樺島祥介, 田中利幸. 統計力学と情報処理, 電子情報通信学会誌, Vol. 83, No. 8, pp. 630, 2000.

特許など

• 樺島祥介, 渡辺駿介, 村山　立人　. データ交換方法、データ逆変換方法、装置、及びプログラム. 特許. 公開. 国立大学法人東京工業大学, 日本電信電話株式会社. 2013/05/17. 特願2013-105429. 2014/12/08. 特開2014-229926. 2014.
• 竹田晃人, 樺島祥介, 李　斗煥　, 山田　貴之　, 上原　一浩　, 赤羽　和徳. 信号処理システム及び信号処理方法. 特許. 登録. 国立大学法人東京工業大学, 日本電信電話株式会社. 2012/06/28. 特願2012-145920. 2014/01/20. 特開2014-011576. 特許第5761811号. 2015/06/19 2015.
• 樺島祥介, 竹田晃人, 李斗　煥　, 山田　貴之　, 上原　一浩　, 赤羽　和徳　. 信号処理システム及び信号処理方法. 特許. 登録. 国立大学法人東京工業大学, 日本電信電話株式会社. 2012/06/28. 特願2012-145921. 2014/01/20. 特開2014-011577. 特許第5761812号. 2015/06/19 2015.

学位論文

• 学習の統計的性質,  本文,  Doctor of Science,  京都大学,  1994/--/--, 

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