Publication List

Selected Publications

[134] Takaki Makino, Hank Liao, Yannis Assael, Brendan Shillingford, Basilio Garcia, Otavio Braga, and Olivier Siohan. Recurrent neural network transducer for audio-visual speech recognition. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019), 2019. [ bib | http ]
[130] Takaki Makino, Takeshi Shibuya, Shinichi Shirakawa, Minoru Asada, Hideki Asoh, Sachiyo Arai, Hitoshi Iima, Makoto Itoh, Kazuhiro Ohkura, Yasuaki Kuroe, Norikazu Sugimoto, Yuuta Tsuboi, Kenji Doya, Tohgoroh Matsui, Shin ichi Maeda, Kazumitsu Miyazaki, Yasuhiro Minami, Toyomi Meguro, Tetsuro Morimura, Jun Morimoto, Toshiyuki Yasuda, and Junichiro Yoshimoto. Advanced reinforcement learning. 2016. (In Japanese). [ bib ]
[129] Takaki Makino, Yukiko Iwata, Katsutoshi Shinohara, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. Rigorous estimates of quantization error for A/D converters based on beta-map. Nonlinear Theory and Its Applications, IEICE, 6(1):99-111, 2015. [ bib | http ]
[104] Takaki Makino, Yukiko Iwata, Yutaka Jitsumatsu, Masao Hotta, Hao San, and Kazuyuki Aihara. Rigorous analysis of quantization error of an A/D converter based on β-map. In Proceedings of 2013 IEEE International Symposium on Circuits and Systems (ISCAS), May 2013. [ bib | .pdf ]
[97] Takaki Makino and Kazuyuki Aihara. Software development and testing for machine learning studies: With an example of probabilistic inference with Monte Carlo based methods. Transactions of the Japanese Society for Artificial Intelligence, 27(4):253-262, July 2012. In Japanese. [ bib | http | Abstract ]
[92] Takaki Makino and Johane Takeuchi. Apprenticeship learning for model parameters of partially observable environments. In ICML '12: Proceedings of the 29th Annual international conference on machine learning, June 2012. [ bib | .pdf | Abstract ]
[57] Takaki Makino. Self-organization of commucation. In Handbook of Self-organization, pages 438-443. NTS Pub, 2009. In Japanese. [ bib ]
[54] Takaki Makino. Proto-predictive representation of states with simple recurrent temporal-difference networks. In Léon Bottou and Michael Littman, editors, ICML '09: Proceedings of the 26th Annual international conference on machine learning, pages 697-704, Montreal, June 2009. Omnipress. [ bib | .pdf | Abstract ]
[41] Takaki Makino and Toshihisa Takagi. On-line discovery of temporal-difference networks. In Andrew McCallum and Sam Roweis, editors, ICML '08: Proceedings of the 25th Annual International Conference on Machine Learning, pages 632-639. Omnipress, 2008. [ bib | .pdf | Abstract ]
[37] Takaki Makino. Failure, instead of inhibition, should be monitored for the distinction of self/other and actual/possible actions. Behavioral and Brain Sciences, 31(1):32-33, 2008. A commentary for Susan Hurley's article “The Shared Circuits Model: How Control, Mirroring and Simulation Can Enable Imitation, Deliberation, and Mindreading”. [ bib | Abstract ]
[35] Takaki Makino and Kazuyuki Aihara. Simulating others. Journal of The Japan Society for Simulation Technology, 26:171-175, 2007. In Japanese. [ bib | Abstract ]
[27] Takaki Makino and Kazuyuki Aihara. Self-observation principle for estimating the other's internal state - a new computational theory of communication. Mathematical Engineering Technical Reports METR 2003-36, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo, October 2003. Revised version (based on comments from an English native) (.pdf) and Unofficial Japanese version (.pdf) is also available in addition to the original version (.pdf). [ bib | .pdf | Abstract ]
[26] Takaki Makino. A discrete-event neural network simulator for general neuron models. Neural Computing & Applications, 11:210-223, 2003. [ bib | .pdf | Abstract ]
[23] Takaki Makino, Yusuke Miyao, Kentaro Torisawa, and Jun-ichi Tsujii. Native-code compilation of feature structures. In Stephan Oepen, Dan Flickinger, Jun-ichi Tsujii, and Hans Uszkoreit, editors, Collaborative Language Engineering: A Case Study in Efficient Grammar-based Processing. CSLI Publications, Stanford, CA, 2003. [ bib | .ps.gz | .pdf ]
[17] Takaki Makino. A Pulsed Neural Network for Language Understanding: Discrete-Event Simulation of a Short-Term Memory Mechanism and Sentence Understanding. Ph.D. dissertation, Department of Information Science, Graduate School of Science, Tokyo University, Tokyo, Japan, December 2001. [ bib | .ps.gz | .pdf | Abstract ]
[7] Takaki Makino, Minoru Yoshida, Kentaro Torisawa, and Jun-ichi Tsujii. LiLFeS - towards a practical HPSG parser. In Proceedings of the 17th International Conference on Computational Linguistics and the 36th Annual Meeting of the Association for Computational Linguistics, pages 807-811, Montreal, Canada, 1998. [ bib | .ps.gz | Abstract ]

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